WO2021208563A1 - 一种通信方法、装置及系统 - Google Patents

一种通信方法、装置及系统 Download PDF

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Publication number
WO2021208563A1
WO2021208563A1 PCT/CN2021/074374 CN2021074374W WO2021208563A1 WO 2021208563 A1 WO2021208563 A1 WO 2021208563A1 CN 2021074374 W CN2021074374 W CN 2021074374W WO 2021208563 A1 WO2021208563 A1 WO 2021208563A1
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Prior art keywords
information
terminal
network element
movement trajectory
analysis result
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PCT/CN2021/074374
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English (en)
French (fr)
Inventor
崇卫微
吴晓波
辛阳
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华为技术有限公司
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Publication of WO2021208563A1 publication Critical patent/WO2021208563A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/025—Services making use of location information using location based information parameters
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/80—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for detecting, monitoring or modelling epidemics or pandemics, e.g. flu
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/029—Location-based management or tracking services

Definitions

  • This application relates to the field of communication technology, and in particular to a communication method, device and system.
  • information collectors In response to the current emergencies, in order to obtain user information related to the emergency, information collectors need to go offline to check the information of related users in contact with the emergency. For example, in order to investigate users related to emergencies, information collectors need to register door-to-door whether users are related to an emergency in a certain area at a certain time. In this method, information collectors can use offline information collection methods to obtain whether the user is related to an emergency, which is inefficient and error-prone.
  • the embodiments of the present application provide a communication method, device, and system, which can determine user-related information related to an emergency in a timely manner, improve detection efficiency and reduce the possibility of error.
  • an embodiment of the present application provides a communication method, including: a data analysis network element obtains information about a first movement track, and the information about the first movement track includes information about a first position and corresponding to the first position.
  • the data analysis network element determines that the second movement trajectory of the second terminal intersects the first movement trajectory; the data analysis network element sends the analysis result to the first network element, and the analysis result includes Any one or more of the following information: the identification information of the second terminal, the number of the second terminal, the information analysis result of the second movement track, the activity analysis result of the second terminal, the The risk analysis result of the second terminal and the information analysis result of the third movement trajectory, where the third movement trajectory includes at least a part of the overlapping trajectory between the first movement trajectory and the second movement trajectory.
  • the data analysis network element can obtain the information of the analysis result of the second terminal corresponding to the second movement trajectory that overlaps with the first movement trajectory according to the information of the first movement trajectory, which improves the detection efficiency and reduces The possibility of error.
  • the first network element can be a core network element, such as an AMF network element, or other network elements, such as an AF network element, or other data analysis network elements, such as one of the NWDAF network elements in the network. Request corresponding analysis results from another NWDAF network element.
  • the first network element may also be a terminal.
  • the UE may request an analysis result from the data analysis network element.
  • the method further includes: the data analysis network element receiving a request message from the first network element, the request message being used to request the analysis result from the data analysis network element,
  • the request message includes the information of the first movement track, and/or the identification information of the first terminal corresponding to the information of the first movement track.
  • the first network element may request the corresponding analysis result from the data analysis network element through a request message.
  • the first network element may add the identification information of the first terminal to the request message.
  • the data analysis network element can determine the first movement track information corresponding to the first terminal according to the identification information of the first terminal, so as to The data analysis network element obtains the corresponding analysis result according to the information of the first movement trajectory; or, the first network element may directly add the information of the first movement trajectory to the request message, so that the data analysis network element can directly obtain the result from the request message.
  • Analyze the information of the first movement track in the data analysis network element and because the data analysis network element does not need the identification information of the terminal during the process of obtaining the information of the first movement track, the user’s privacy can be effectively protected (that is, the user’s privacy can be avoided as much as possible.
  • the identification information of the used terminal is leaked), and it can also improve the efficiency of the data analysis network element to feed back the analysis result to a certain extent.
  • the request message further includes association level information, where the association level information is used to indicate the target level of the terminal associated with the first movement track, where the terminal of the adjacent level There is an intersection of movement trajectories, and the level of the first terminal is the initial level;
  • the analysis result also includes any one or more of the following information: identification information of the target-level terminal, the number of the target-level terminal, and The information analysis result of the movement trajectory of the target-level terminal, the activity analysis result of the target-level terminal, and the risk analysis result of the target-level terminal; Information on the movement trajectory of the previous level terminal has an intersection.
  • the data analysis network element may further base on the second movement track of the second terminal. Information, it is determined that there is an intersection with the movement trajectory of the third terminal and the first movement trajectory, so as to obtain the analysis result corresponding to the third terminal, and if the level corresponding to the third terminal is still inconsistent with the target level, the data analysis network element It is also possible to further determine the fourth terminal of the next level until the determined level of the terminal reaches the target level, so that the data analysis network element can feed back the initial level (that is, the level corresponding to the first terminal) to the target level to the first network element The analysis result corresponding to the terminal of the level.
  • the request message further includes first designated area information and/or first designated time information
  • the data analysis network element sends an analysis result to the first network element, including: the data The analysis network element sends the analysis result corresponding to the first designated area information and/or the first designated time information to the first network element.
  • the analysis result requested by the first network element may specifically be an analysis result corresponding to a specific area.
  • the first network element may be another terminal requesting to determine that there is contact with the first terminal in the specific area.
  • the first network element can also request analysis results corresponding to a specific time period. A terminal whose movement trajectory and the first movement trajectory intersect during the period from August 8th.
  • the data analysis network element acquiring the information of the first movement track includes: the data analysis network element acquiring the information of the first movement track according to the identification information of the first terminal.
  • the request message received by the data analysis network element may not include the information of the first movement track, but includes the identification information of the first terminal.
  • the data analysis network element may be based on the information of the first terminal.
  • the identification information determines the information of the first movement track corresponding to the first terminal.
  • the data analysis network element can send information to other network elements in the network (such as AMF network element, AF network element, etc.) according to the identification information of the first terminal. Etc.) Request to obtain the information of the location of the first terminal in different time periods, so that the data analysis network element can generate the information of the first movement track of the first terminal in a time sequence.
  • the request message further includes second designated area information and/or second designated time information;
  • the data analysis network element acquiring the information of the first movement track includes: the data analysis The network element acquires the information of the first movement track according to the identification information of the first terminal and the second designated area information and/or the second designated time information.
  • the data analysis network element when it determines the information of the first movement trajectory, it may use the movement trajectory generated by the first terminal in a specific area (that is, the area indicated by the second designated area information) as the first The movement trajectory, or the movement trajectory generated by the first terminal in a specific time period (that is, the time period indicated by the second designated time information) as the first movement trajectory, so that the data analysis network element can determine the specific area and/ Or the analysis result corresponding to a specific time period.
  • the information about the second movement track includes information about the second position and information about the time corresponding to the second position
  • the data analysis network element determines the second movement track of the second terminal
  • the intersection with the first movement trajectory includes: the data analysis network element determines that the second movement trajectory and the first movement trajectory have the same position; or, the data analysis network element determines the first movement trajectory
  • the second movement trajectory and the first movement trajectory have the same position, and the time corresponding to the same position is at least partially overlapped.
  • the data analysis network element determines the second terminal, it can specifically determine whether the second movement track of the second terminal is at the same position as the first movement track (it can be a network location or a geographic location) If it exists, it indicates that the second terminal is in contact with the first movement track.
  • the first movement track is specifically the first movement track of the first terminal
  • the second terminal and the first terminal are in contact at the same position (even if not A physical touch can also be regarded as a contact between two terminals).
  • the second terminal contacting the first movement track does not only require that the two movement tracks have the same position, but also requires that the time when the second terminal is at the same position overlaps with the time information corresponding to the first terminal.
  • the movement track is specifically the first movement track of the first terminal, the first terminal and the second terminal appear at the same position at the same time. At this time, it can be considered that the first terminal and the second terminal are in contact.
  • the same position includes a plurality of positions, and the plurality of positions are continuous in the first movement trajectory and/or the second movement trajectory.
  • the data analysis network element determines the second terminal, it not only requires that the second movement trajectory and the first movement trajectory have the same position, but also requires the same position between the second movement trajectory and the first movement trajectory. There are multiple consecutive ones.
  • the first movement track is specifically the first movement track of the first terminal, the first terminal and the second terminal continuously change the same position. For example, the first terminal and the second terminal are successively changed in sequence. Pass through cell 1, cell 2, and cell 3, etc.
  • the number of the same positions is greater than a preset number.
  • the data analysis network element may also have certain requirements for the same number of locations on the basis of any one of the above conditions. Specifically, it may further require the second terminal of the second terminal. The number of identical positions between the second movement track and the first movement track exceeds the preset number.
  • the overlap duration corresponding to the same position in the second movement trajectory and the first movement trajectory is greater than a preset duration.
  • it may also have certain requirements on the overlap duration based on any of the above conditions.
  • the first movement track is specifically the first terminal
  • the second terminal and the first terminal are required to be in the same position for longer than a certain period of time.
  • the corresponding overlapping duration of the same position in the second movement track and the first movement track is greater than a preset duration, including: there is at least one position in the same position
  • the corresponding overlap duration is greater than the preset duration; or, the same positions include consecutive identical locations, and at least one of the consecutive identical locations has an overlap duration greater than the preset duration; or,
  • the same position includes multiple positions and the sum of the overlapping durations corresponding to each position is greater than the preset duration; or, the same position includes consecutive identical positions and the overlapping duration corresponding to the consecutive identical positions The sum of is greater than the preset duration.
  • the overlap duration corresponding to the same position is greater than the preset duration, which can be any of the above four examples, which increases the flexibility of solution implementation.
  • the overlap time includes an overlap time period and/or an overlap time period during which the second terminal is in the overlapped network location.
  • the overlapping time may specifically be an overlapping time period or an overlapping time period, of course, it may also be a combination of the two.
  • the method further includes: the data analysis network element obtains the determination condition from the first network element; the data analysis network element determines the second movement track of the second terminal and the The intersection of the first movement trajectory includes: the data analysis network element determines, according to the determination condition, that the second movement trajectory and the first movement trajectory have an intersection.
  • the data analysis network element determines whether there is an intersection between the two moving trajectories, which may be determined based on the determination condition obtained from the first network element. For example, the first network element may follow the determination condition.
  • the request message is sent to the data analysis network element together, so that the data analysis network element determines whether there is an intersection between the two moving tracks according to the judgment condition.
  • the judgment condition can also be pre-configured on the data analysis network element. In this way, the first network element does not need to carry the judgment condition in each request message sent to the data analysis network element.
  • the data volume of the request message includes: the data analysis network element obtains the determination condition from the first network element; the data analysis network element determines the second movement track
  • the information analysis result of the third movement track includes any one or more of the following information: identification information of the second terminal corresponding to the information of the third movement track, and The number of the second terminal corresponding to the information of the third movement track, the information of the position contained in the information of the third movement track, the information of the time corresponding to the position contained in the information of the third movement track, the The information of the third movement track corresponds to the activity analysis result of the second terminal, and the information of the third movement track corresponds to the risk analysis result of the second terminal.
  • the information analysis result of the first movement trajectory may include any one or more of the above information, which increases the flexibility in the implementation of the solution.
  • the information analysis result of the second movement track of the second terminal includes any one or more of the following information: information of the second location, information of the time corresponding to the second location , Information on the same position in the first movement trajectory and the second movement trajectory, and information on the overlap time corresponding to the same position in the first movement trajectory and the second movement trajectory.
  • the information analysis result of the second movement trajectory may include any one or more of the above information, which increases the flexibility in the implementation of the solution.
  • the analysis result of the activity of the second terminal includes any one or more of the following information: a value used to indicate the activity level of the second terminal, and a value used to indicate the activity of the second terminal.
  • the above-mentioned one or more kinds of information may be used as the activity analysis result of the second terminal, which is used to characterize the mobility activity or the conversation activity of the second terminal in the network. Further, the numerical value used to indicate the level of activity of the second terminal and the level used to indicate the level of activity of the second terminal may be generated by using the remaining one or more types of information in the foregoing information.
  • the risk analysis result of the second terminal includes any one or more of the following information: the risk category of the second terminal, the risk degree of the second terminal, and the first terminal Second, the terminal's risk release time.
  • the risk analysis result of the second terminal may include any one or more of the foregoing information, which increases the flexibility in the implementation of the solution.
  • the second terminal includes multiple terminals;
  • the information analysis result of the second movement track includes the information analysis result of the aggregate movement track of the multiple terminals, and/or, Information analysis result of the movement trajectory of each of the multiple terminals;
  • the activity analysis result of the second terminal includes the aggregate activity analysis result of the multiple terminals, and/or each of the multiple terminals
  • the risk analysis result of the second terminal includes the aggregate risk analysis result of the multiple terminals, and/or the risk analysis result of each terminal of the multiple terminals.
  • the information analysis result of the second movement trajectory may be a collection of the information analysis results of the movement trajectory of each terminal, or it may be based on The information analysis results of the movement trajectory of each terminal are aggregated. This aggregation includes, but is not limited to, calculating the average value, variance, and so on.
  • an embodiment of the present application also provides a communication method, the method includes: a first network element sends a request message to a data analysis network element, the request message includes information about the first movement track, and/or, The identification information of the first terminal corresponding to the information of the first movement trajectory, the request message is used to request the analysis result corresponding to the second terminal from the data analysis network element, and the second movement trajectory of the second terminal is the same as The first movement track has an intersection; the first network element receives an analysis result from the data analysis network element, and the analysis result includes any one or more of the following information: identification information of the second terminal , The number of the second terminal, the information analysis result of the second movement track, the activity analysis result of the second terminal, the risk analysis result of the second terminal, and the information analysis result of the third movement track, The third movement trajectory includes at least a part of the overlapping trajectory between the first movement trajectory and the second movement trajectory.
  • the analysis result includes the identification information of the second terminal
  • the method further includes: the first network element reports to the second terminal according to the identification information of the second terminal.
  • Send instruction information where the instruction information is used to indicate that there is an intersection between the second movement trajectory and the first movement trajectory.
  • the analysis result includes the information analysis result of the third movement trajectory
  • the method further includes: the first network element determines the information analysis result of the third movement trajectory The processing strategy corresponding to the third movement track information.
  • the request message further includes a judgment condition, and the judgment condition is used to determine that there is an intersection between the second movement trajectory and the first movement trajectory.
  • the determination condition includes: the second movement trajectory and the first movement trajectory have the same position; or, the second movement trajectory is in the same position as the first movement trajectory The same location exists, and the time corresponding to the same location overlaps at least partially.
  • the determination condition includes: there is at least one identical position in the second movement track and the first movement track, and the same position is in the second movement track and the first movement track.
  • the time interval of the corresponding start time in the first movement track is less than the preset time interval.
  • the same position includes a plurality of positions, and the plurality of positions are continuous in the first movement trajectory and/or the second movement trajectory.
  • the overlap duration corresponding to the same position in the second movement trajectory and the first movement trajectory is greater than a preset duration.
  • the corresponding overlapping duration of the same position in the second movement track and the first movement track is greater than a preset duration, including: there is at least one position in the same position The corresponding overlap duration is greater than the preset duration;
  • the same position includes consecutive identical positions, and the overlap period corresponding to at least one position in the consecutive identical positions is greater than the preset period; or, the same position includes multiple positions and The sum of the overlapping durations corresponding to each position is greater than the preset duration; or, the same position includes consecutive identical positions and the sum of the overlapping durations corresponding to the consecutive identical positions is greater than the preset duration.
  • the request message includes the association level information, where the association level information is used to indicate the target level of the terminal associated with the first movement track, where the adjacent level There is an intersection of the movement trajectories of the terminals, and the level of the first terminal is the initial level;
  • the analysis result also includes any one or more of the following information: identification information of the target-level terminal, and the number of the target-level terminal , The information analysis result of the movement trajectory of the target-level terminal, the activity analysis result of the target-level terminal, and the risk analysis result of the target-level terminal; the movement trajectory of the target-level terminal and the previous target level
  • the movement trajectories of the first-level terminals have intersections.
  • the request message includes the first designated area information and/or the first designated time information
  • the first network element receives the analysis result from the data analysis network element, including: A network element receives the analysis result corresponding to the first designated area information and/or the first designated time information from the data analysis network element.
  • the method further includes: the first network element determines the processing strategy corresponding to the first designated area information and/or the first designated time information according to the analysis result .
  • the request message further includes second designated area information and/or second designated time information
  • the information of the first movement track is the first terminal corresponding to the identification information of the first terminal.
  • the information analysis result of the second movement track includes any one or more of the following information: information of the second position, information of the time corresponding to the second position, and the first Information about the same position in a movement trajectory and the second movement trajectory, and information on overlapping time corresponding to the same position in the first movement trajectory and the second movement trajectory.
  • the analysis result of the activity of the second terminal includes any one or more of the following information: a value used to indicate the activity level of the second terminal, and a value used to indicate the activity of the second terminal.
  • the risk analysis result of the second terminal includes any one or more of the following information: the risk category, risk degree, and risk release time of the second terminal.
  • the second terminal includes multiple terminals;
  • the information analysis result of the second movement track includes the information analysis result of the aggregate movement track of the multiple terminals, and/or, Information analysis result of the movement trajectory of each of the multiple terminals;
  • the activity analysis result of the second terminal includes the aggregate activity analysis result of the multiple terminals, and/or each of the multiple terminals
  • the risk analysis result of the second terminal includes the aggregate risk analysis result of the multiple terminals, and/or the risk analysis result of each terminal of the multiple terminals.
  • an embodiment of the present application also provides a communication method, the method includes: a data analysis network element obtains information of a first movement track, the information of the first movement track includes information of a first position; the data The analysis network element determines that there is an intersection between the second movement trajectory of the second terminal and the first movement trajectory; the data analysis network element sends an analysis result to the first network element, and the analysis result includes any one or more of the following information Types: identification information of the second terminal, the number of the second terminal, the information analysis result of the second movement track, the activity analysis result of the second terminal, and the risk analysis result of the second terminal , The information analysis result of the third movement trajectory, the third movement trajectory includes at least a part of the overlapping trajectory between the first movement trajectory and the second movement trajectory.
  • the information of the first movement trajectory may only include the information of the first position, so that the second terminal that has an intersection with the first movement trajectory can be determined based on the movement trajectory of each terminal, so as to obtain the corresponding analysis result.
  • the efficiency of determining other terminals in contact with the terminal (that is, users related to the emergency) or related information of other terminals (that is, the related information of users related to the emergency) can be effectively improved, and time is reduced. And labor costs, and the possibility of omissions and omissions is usually small.
  • the data analysis network element determining that the second movement trajectory of the second terminal intersects the first movement trajectory includes: the data analysis network element determines that the second movement trajectory is The first movement track has the same position. In this embodiment, there is an intersection between the first movement trajectory and the second movement trajectory. Specifically, it may be that the same position exists between the second movement trajectory and the first movement trajectory. The position may be a network location or a geographic location. Position, when the first movement track is the movement track of the first terminal, there is contact between the second terminal and the first terminal at the same position (the physical touch may not occur).
  • the method further includes: the data analysis network element receiving a request message from the first network element, the request message being used to request the analysis from the data analysis network element As a result, the request message includes the information of the first movement track.
  • the request message further includes first designated area information and/or first designated time information
  • the data analysis network element sending the analysis result to the first network element includes:
  • the data analysis network element sends the analysis result corresponding to the first designated area information and/or the first designated time information to the first network element
  • the request message further includes second designated time information; the data analysis network element determines that the second movement trajectory of the second terminal has an intersection with the first movement trajectory, including: The data analysis network element determines, according to the second designated time information, that there is an intersection between the second movement trajectory and the first movement trajectory. In this embodiment, it can be determined whether the movement trajectory generated by the second terminal within the time period represented by the second designated time information overlaps with the first movement trajectory, and the determined second terminal is performed in time. limit.
  • the data analysis network element determining that there is an intersection between the second movement track and the first movement track according to the second designated time information includes: the data analysis network element determining The second movement trajectory within the time corresponding to the second designated time information has the same position as the first movement trajectory.
  • the data analysis network element determining The second movement trajectory within the time corresponding to the second designated time information has the same position as the first movement trajectory.
  • the information analysis result of the second movement track includes any one or more of the following information: information of the second position, information of the time corresponding to the second position, and the first Information about the same position in a movement trajectory and the second movement trajectory, and information on overlapping time corresponding to the same position in the first movement trajectory and the second movement trajectory.
  • the information analysis result of the third movement track includes any one or more of the following information: identification information of the second terminal corresponding to the information of the third movement track, and The number of the second terminal corresponding to the information of the third movement track, the information of the position contained in the information of the third movement track, the information of the time corresponding to the position contained in the information of the third movement track, the The information of the third movement track corresponds to the activity analysis result of the second terminal, and the information of the third movement track corresponds to the risk analysis result of the second terminal.
  • the information analysis result of the third movement track may be any one or more of the above-mentioned exemplary information, which increases the flexibility of solution implementation.
  • an embodiment of the present application also provides a communication method, which includes:
  • the data analysis network element acquires information about a first movement track, where the information about the first movement track includes information about a first position and information about a time corresponding to the first position;
  • the data analysis network element Acquiring, by the data analysis network element, information about a second movement track, where the information about the second movement track includes information about a second position and information about a time corresponding to the second position;
  • the data analysis network element determines that there is an intersection between the second movement trajectory and the first movement trajectory
  • the data analysis network element sends an analysis result to the first network element, and the analysis result includes any one or more of the following information: indication information, and an information analysis result of the second movement track.
  • indication information is used to indicate that there is an intersection between the second movement trajectory and the first movement trajectory.
  • the method further includes: the data analysis network element receiving a request message from the first network element, the request message being used to request the analysis from the data analysis network element
  • the request message includes the information of the first movement track, and/or the identification information of the first terminal corresponding to the information of the first movement track.
  • the data analysis network element obtains the information of the first movement trajectory
  • the method includes: the data analysis network element obtains the information of the first movement trajectory according to the identification information of the first terminal .
  • the request message further includes the information of the second movement track, and/or the identification information of the second terminal corresponding to the information of the second movement track.
  • the data analysis network element obtains the information of the second movement trajectory
  • the method includes: the data analysis network element obtains the information of the second movement trajectory according to the identification information of the second terminal .
  • the request message further includes designated area information and/or designated time information.
  • the data analysis network element acquiring the information of the first movement track includes:
  • the data analysis network element acquires the information of the first movement track according to the identification information of the first terminal, the designated area information and/or the designated time information.
  • the data analysis network element acquiring the information of the second movement track includes:
  • the data analysis network element acquires the information of the second movement track according to the identification information of the second terminal, the designated area information and/or the designated time information.
  • the information analysis result of the second movement track includes any one or more of the following information:
  • an embodiment of the present application also provides a communication device.
  • the device includes a receiving unit configured to receive information about a first movement track, where the information about the first movement track includes information about a first position and Information about the time corresponding to the first position; a processing unit, configured to determine that the second movement trajectory of the second terminal has an intersection with the first movement trajectory; a sending unit, configured to send the analysis result to the first network element, the The analysis result includes any one or more of the following information: the identification information of the second terminal, the number of the second terminal, the information analysis result of the second movement track, and the activity analysis of the second terminal.
  • the risk analysis result of the second terminal and the information analysis result of the third movement trajectory the third movement trajectory includes at least a part of the overlapping trajectory between the first movement trajectory and the second movement trajectory.
  • the device is applied to a data analysis network element
  • the communication device described in the fifth aspect corresponds to the communication method described in the first aspect. Therefore, the various possible implementations and beneficial effects of the fourth aspect may refer to the corresponding implementations and beneficial effects in the first aspect. Description, I won’t repeat it here.
  • an embodiment of the present application also provides a communication device, the device including: a sending unit, configured to send a request message to a data analysis network element, the request message including the information of the first movement track, and/or , The identification information of the first terminal corresponding to the information of the first movement track, and the request message is used to request the analysis result corresponding to the second terminal from the data analysis network element, and the second movement track of the second terminal There is an intersection with the first movement track; a receiving unit, configured to receive an analysis result from the data analysis network element, the analysis result includes any one or more of the following information: identification information of the second terminal , The number of the second terminal, the information analysis result of the second movement track, the activity analysis result of the second terminal, the risk analysis result of the second terminal, and the information analysis result of the third movement track,
  • the third movement trajectory includes at least a part of the overlapping trajectory between the first movement trajectory and the second movement trajectory.
  • the device is applied to the first network element.
  • the communication device described in the sixth aspect corresponds to the communication method described in the second aspect. Therefore, the various possible implementations and the beneficial effects of the sixth aspect can refer to the corresponding implementations and the beneficial effects in the second aspect. Description, I won’t repeat it here.
  • an embodiment of the present application also provides a communication device.
  • the device includes: a receiving unit for information about a first movement track, where the information about the first movement track includes position information; and a processing unit for using To determine that the second movement trajectory of the second terminal has an intersection with the first movement trajectory; the sending unit is configured to send the analysis result to the first network element, and the analysis result includes any one or more of the following information: The identification information of the second terminal, the number of the second terminal, the information analysis result of the second movement track, the activity analysis result of the second terminal, the risk analysis result of the second terminal, the third According to the information analysis result of the movement trajectory, the third movement trajectory includes at least a part of the overlapping trajectory between the first movement trajectory and the second movement trajectory.
  • the device is applied to a data analysis network element.
  • the communication device described in the seventh aspect corresponds to the communication method described in the third aspect. Therefore, various possible implementations of the seventh aspect and its beneficial effects can be referred to the corresponding implementations and beneficial effects in the third aspect. Description, I won’t repeat it here.
  • an embodiment of the present application also provides a communication device, including: a processor and a memory; the memory is used to store instructions or computer programs; the processor is used to execute the instructions or computer programs, The method described in any one of the implementation manners in the first aspect to the method described in any one of the implementation manners in the third aspect is executed.
  • the communication device described in the eighth aspect corresponds to the communication method described in the first to third aspects. Therefore, various possible implementations of the eighth aspect and its beneficial effects can be referred to in the first to third aspects. Corresponding implementation manners and related descriptions of beneficial effects will not be repeated here.
  • an embodiment of the present application also provides a computer-readable storage medium, including instructions or computer programs, which when run on a computer, cause the computer to execute the method described in any one of the above-mentioned implementation manners of the first aspect To the method described in any one of the implementation manners of the third aspect.
  • the computer-readable storage medium described in the ninth aspect corresponds to the communication method described in the first or second aspect. Therefore, various possible implementations of the ninth aspect and its beneficial effects can be referred to from the first to the first aspects. Corresponding implementations and related descriptions of beneficial effects in the three aspects will not be repeated here.
  • an embodiment of the present application also provides a communication system, which may include the data analysis network element described in any implementation manner of the first aspect and the first aspect described in any implementation manner of the second aspect.
  • a network element; or, the system may include the data analysis network element described in any implementation manner in the third aspect and the first network element described in any implementation manner in the second aspect.
  • the communication system described in the tenth aspect corresponds to the communication method described in the first or second aspect. Therefore, various possible implementations of the tenth aspect and its beneficial effects can be referred to in the first or second aspect Corresponding implementation manners and related descriptions of beneficial effects will not be repeated here.
  • an embodiment of the present application provides a chip that includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run a computer program or instruction to implement each of the first to third aspects.
  • the communication interface is used to communicate with other modules outside the chip.
  • FIG. 1 is a schematic diagram of the architecture of an exemplary communication system in an embodiment of the application
  • FIG. 2 is a schematic flowchart of a communication method in an embodiment of this application.
  • FIG. 3 is a schematic flowchart of a communication method combined with specific scenarios in an embodiment of the application
  • FIG. 5 is a schematic structural diagram of a communication device in an embodiment of this application.
  • FIG. 6 is a schematic structural diagram of another communication device in an embodiment of this application.
  • FIG. 7 is a schematic diagram of the hardware structure of a communication device in an embodiment of the application.
  • FIG. 8 is a schematic diagram of the hardware structure of a chip in an embodiment of the application.
  • the embodiments of the present application can be applied to the exemplary communication system shown in FIG. 1.
  • the communication system may be a communication system that supports fourth-generation (4G) access technology, such as long-term evolution (LTE) access technology; or, the communication system may also support fifth-generation (fifth generation) access technology.
  • 4G fourth-generation
  • LTE long-term evolution
  • fifth generation fifth-generation
  • generation, 5G) access technology communication system such as new radio (NR) access technology
  • NR new radio
  • the communication system can also be a communication system supporting multiple wireless technologies, such as a communication system supporting LTE technology and NR technology .
  • the communication system can also be applied to future-oriented communication technologies.
  • the terminal accesses the core network through an access network (AN) network element or a radio access network (radio access network, RAN).
  • the terminal includes but is not limited to: user equipment (UE), user unit, user station, mobile station, mobile station, remote station, remote terminal equipment, mobile terminal equipment, user terminal equipment, terminal equipment, wireless communication equipment ,
  • UE user equipment
  • user unit user station
  • mobile station mobile station
  • remote station remote terminal equipment
  • mobile terminal equipment user terminal equipment
  • user terminal equipment user terminal equipment
  • wireless communication equipment User agent
  • user device cellular phone, cordless phone, session initiation protocol (SIP) phone, wireless local loop (WLL) station, personal digital assistant (PDA), with Handheld devices with wireless communication functions, computing devices, processing devices connected to wireless modems, in-vehicle devices, wearable devices, terminal devices in the Internet of Things, household appliances, virtual reality devices, terminal devices in the future 5G network, or the future Terminal equipment in the evolved public land mobile network (PLMN).
  • PLMN evolved public land mobile network
  • AN may be a network element that communicates with the terminal.
  • AN (or RAN) can provide communication coverage for a specific geographic area, and can communicate with user equipment located in the coverage area (cell).
  • AN (or RAN) can communicate with any number of UEs.
  • AN (or RAN) can support communication protocols of different standards, or can support different communication modes.
  • AN is an evolved base station (evolved node B, eNodeB), or a wireless fidelity access point (WiFi AP), or a global interoperability base station for microwave access (worldwide).
  • interoperability for microwave access base station, WiMAX BS), or the wireless controller in the cloud radio access network (CRAN), or the access network element can be the access network in the future 5G network Or the access network element in the future evolution of PLMN, etc.
  • the core network may include: user plane function (UPF) network elements, network slice selection function (network slice selection function, NSSF), network capability exposure function (NEF), network storage function (network repository function) , NRF), policy control function (PCF) network element, unified data management (UDM) network element, network data analysis function (NWDAF) network element, authentication service function (authentication server function, AUSF) network element, access management function (AMF) network element, session management function (SMF) network element, and service control point (SCP).
  • UPF user plane function
  • NSSF network slice selection function
  • NEF network capability exposure function
  • NRF network storage function
  • PCF policy control function
  • UDM unified data management
  • NWDAF network data analysis function
  • AMF authentication service function
  • SMF session management function
  • SCP service control point
  • the AMF network element can be used to provide the UE with functions such as mobility management, or access authorization and authentication.
  • Application function (AF) network elements can be divided into operator AF network elements and third-party AF network elements, and the difference lies in whether they are deployed by the operator.
  • Third-party AF network elements include various application-related servers deployed by non-operators, such as railway system-related AF, medical system-related AF, OTT (over the top) business-related AF, and government community-related AF (such as community service apps, etc.).
  • NEF network elements can be used to open data and services of the communication operator's network to external AF, or reversely open AF data or services to the operator.
  • NWDAF network elements can have one or more of the following functions: data collection, training, analysis, and reasoning functions.
  • NWDAF network elements are used to collect relevant data from network network elements, third-party service servers, terminal equipment or network management systems, and perform analysis and training based on the relevant data, so as to provide network elements, third-party service servers, terminal equipment or The network management system provides corresponding data analysis results, which can assist the network in selecting service quality parameters for services, or assist the network in performing traffic routing, or assist the network in selecting background traffic transmission strategies.
  • the NWDAF network element can be set separately as an independent network element in the network, or the NWDAF network element can be combined with other network elements.
  • the NWDAF network element function can be set on the SMF network element and the AMF network element.
  • the network may include one or more NWDAF network elements, and different NWDAF network elements may have different data type analysis functions, and of course, they may also have the same data type analysis function.
  • NFs network functions
  • network functions refer to other nodes or physical devices in the network that can have one or more of the following functions: provide corresponding functional support for UE access to the network, session, authentication, policy control, etc., Corresponding network data will also be generated.
  • AMF Access Management Function
  • SMF Session Management Function
  • UDM User Data Management Function
  • the terminal can communicate with the network element and different network elements through the corresponding service interface or point-to-point interface.
  • the UE can communicate with the AMF network element through the N1 interface
  • the AN can communicate with the UPF network element through the N3 interface, etc.
  • Point-to-point interfaces such as N2, N4, N6, and N9 are similar
  • AMF network elements can communicate with other network elements in the network through the business interface Namf interface
  • AF network elements can communicate with other network elements in the network through the business interface Naf interface
  • Other network elements communicate, etc., and the rest will not be repeated here.
  • the functions of the constituent network elements are only exemplary, and not all the functions are necessary when the constituent network elements are applied to the embodiments of the present application. It should be noted that the communication system shown in FIG. 1 is only an example of the communication system provided in the embodiment of the present application, and the embodiment of the present application can be applied to any applicable communication system, and is not limited to the one shown in FIG. 1 above. Communication Systems.
  • FIG. 2 shows a schematic flowchart of a communication method in an embodiment of the present application.
  • the method can be applied to the communication system shown in FIG. 1 above, and can also be applied to other applicable communication systems.
  • the data analysis network element in this embodiment may be the NWDAF network element in the communication system shown in FIG. 1; the first network element may be the NWDAF network element in the communication system.
  • the method may specifically include:
  • the data analysis network element acquires information about a first movement track, where the information about the first movement track includes information about a first position and information about a time corresponding to the first position.
  • S202 The data analysis network element determines that there is an intersection between the second movement trajectory of the second terminal and the first movement trajectory.
  • the data analysis network element sends an analysis result to the first network element.
  • the analysis result includes the identification information of the second terminal, the number of the second terminal, the information analysis result of the second movement track, the activity analysis result of the second terminal, Any one or more of the risk analysis result of the second terminal and the information analysis result of the third movement trajectory, wherein the third movement trajectory includes at least a part of the overlapping trajectory between the first movement trajectory and the second movement trajectory .
  • the data analysis network element may analyze according to corresponding data to determine which terminal's movement trajectory overlaps with the first movement trajectory.
  • the first movement track may be the movement track of a certain terminal or some terminals (hereinafter referred to as the first terminal), or may be a pre-designated movement track.
  • the information of the first movement track may include information of the first position and information of the time corresponding to the first position.
  • the information of the first movement trajectory may include the information of the first location where the first terminal is located, and the time when the first terminal is located at the first location (such as the start Time, end time, duration, etc.).
  • the data analysis network element may first perform step S201 to obtain the information of the first movement track.
  • the data analysis network element may acquire the corresponding first movement according to the identification information of the first terminal. Track information.
  • the first network element in the network may send a request message to the data analysis network element to request the data analysis network element to feed back to the first network element related information of the second terminal in contact with the first terminal, such as the second terminal and Information about the location where the first terminal is in contact, information about the time of contact at the location (such as the start time, end time, and contact duration of the contact) and the like.
  • the request message may include identification information of the first terminal.
  • the first network element may be an AMF network element, a RAN network element, a UDM network element, a RAN network element, a UE, etc. other than the data analysis network element (including another data analysis network element) Network element).
  • the first network element may be another data analysis network element in the network.
  • the part of the data analysis network elements in the network may send a request message to the data analysis network element with this function in the network. In order to obtain the required analysis results.
  • the request message may also be initiated by a terminal device that directly or indirectly communicates with the first network element, and the request message is forwarded to the data analysis network element through the first network element.
  • the first network element and the data analysis network element are co-located in the network, the first network element can obtain the corresponding analysis result directly from the data analysis network element without sending a request to the data analysis network element.
  • the identification information of the first terminal may be, for example, the generic public subscription identifier (GPSI), the subscription permanent identifier (SUPI), and the international mobile user identification of the first terminal. Any one or more of code (international mobile subscriber identity, IMSI), international mobile equipment identity (IMEI), GEI, application user ID, and IP quintuple information. .
  • GPSI generic public subscription identifier
  • SUPI subscription permanent identifier
  • IMSI international mobile subscriber identity
  • IMEI international mobile equipment identity
  • GEI application user ID
  • IP quintuple information IP quintuple information.
  • the information about the location of the first terminal may specifically be at least one of the following examples: cell, cell list (cell list), TA (tracking area), TA list (tracking area list), MR (measurement report) location information, LCS (location services, location services) location information and other network location information; or, it can be geographic represented by other methods such as latitude and longitude, administrative area, etc.
  • Location information it can also be the identification information of the base station accessed by the first terminal. Since the location of the base station is usually relatively fixed, when the first terminal contacts the base station, the location corresponding to the base station (or base station identifier) is sufficient As the geographic location or network location of the first terminal.
  • the location-related information fed back by other network elements is geographic location information such as latitude and longitude or administrative area
  • the geographic location information in the process of transmitting to the data analysis network element, the geographic location information can also be converted into the data analysis network element. Recognized location information.
  • the contact between the first terminal and the second terminal described in this embodiment (that is, there is an intersection between the movement trajectory of the first terminal and the movement trajectory of the second terminal), and is not limited to the physical touch between the terminals.
  • no physical touch occurs between the first terminal and the second terminal
  • the distance between the first terminal and the second terminal is less than 1 meter, it can be considered that there is contact between the first mid-to-high end and the second terminal.
  • the data analysis network element uses the identification information of the first terminal parsed from the request message to send to other network elements in the network, such as AF network elements and/or NF network elements, etc., to obtain the information of the first terminal.
  • a request for location-related information where the request carries identification information of the first terminal, so that the location-related information of the first terminal can be obtained from other network elements.
  • NF network elements may be, for example, AMF network elements, RAN network elements, OAM (operation administration and maintenance, operation and maintenance management) network elements, GMLC (gateway mobile location center, gateway mobile location center) network elements, LMF (location management function) , Positioning management function) network elements, etc.
  • the acquired location-related information of the first terminal may include at least one of the following information: information about the location of the first terminal, the time when the first terminal enters each location, and the time when the first terminal leaves the location. Time and the length of time the first terminal is located at that location, etc.
  • the data analysis network element generates the information of the first movement track corresponding to the first terminal according to the position related information of the first terminal fed back by each network element in response to the request.
  • the first movement track may be a combination of multiple first movement tracks. The positions of the terminals are arranged in chronological order.
  • the location-related information of the first terminal may include information about the first location where the first terminal is located and information about the time when the first terminal is located at the first location.
  • the time information may be that the first terminal enters the first location.
  • One or more types of time information such as the start time of a location, the end time of the first terminal entering the first location, and the duration of the first terminal being located at the first location.
  • the information of the first movement track may also include information discretely representing the position where the first terminal enters and information about the time when the first terminal enters the position.
  • the information of the first movement trajectory may include discrete cell identifiers and the start time, duration, and end time corresponding to the first terminal entering the cell indicated by each cell identifier (here, multiple cells are taken as an example, for example, It can also be a cell, the same below), as shown in Table 1 below (assuming the movement trajectory of the first terminal is cell 1 ⁇ cell 2 ⁇ cell 3 ⁇ cell 4):
  • the information of the first movement trajectory may include multiple cell identities and the start time, duration, and end time of the first movement trajectory, as shown in Table 2 below (the movement trajectory of UE1 is still cell 1 ⁇ cell 2 ⁇ cell 3 ⁇ cell 4 as an example):
  • the information of the first movement track of the first terminal may have the same expression form as the position-related information of the first terminal, or may have a different expression form.
  • the request message sent by the first network element to the data analysis network element may include first designated area information and/or first designated time information, and the data analysis network element may request other network elements to obtain information on the first designated area. Location related information of other terminals in the area indicated by the designated area information, and/or location related information of other terminals within the time period indicated by the first designated time information.
  • the first network element may also directly send the information of the first movement track to the data analysis network element.
  • the first network element requests the data analysis network element to obtain related information of the second terminal in contact with the first terminal, it may send the information of the first movement track to the data analysis network element along with the request message, so that the data The analysis network element can directly parse the information of the first movement track from the received request message.
  • the first movement track can be the movement track of the first terminal or the movement pre-specified by the first network element. Trajectory and so on. In this way, there is no need to know the identification information of the first terminal when acquiring the information of the first movement track, so that the privacy of the user holding the first terminal can be protected.
  • the request message sent by the first network element to the data analysis network element may also include analysis type identification information, correlation level information, first designated area information, second designated area information, and first designated area information. Any one or more of time information and second designated time information.
  • the analysis type identification information may be used to indicate which type of analysis result is requested from the data analysis network element.
  • the request message may include an identifier requesting the number of second terminals, which may be used to request the data analysis network element to feed back the number of second terminals corresponding to the movement track that overlaps the first movement track; for example, the request message may Contains the request for the identification of the movement track of the second terminal, and is used to request the data analysis network element to feed back the information of the movement track of the second terminal.
  • the request message may include one or more classification type identification information, which is used to request one or more different contents from the data analysis network element.
  • the association level information may be used to indicate the target level of the terminal associated with the terminal corresponding to the first movement track.
  • the association level information can be expressed as a numerical value. For example, when it is 3, it indicates that the determined target level terminal is a terminal of the third level, which is associated with the second terminal of the second level, and the second terminal of the second level is connected to the first terminal.
  • the first terminal of the level is associated.
  • the association between two adjacent levels of terminals is specifically manifested as the intersection of the movement trajectories of the two terminals.
  • the data analysis network element may determine the terminal corresponding to the second movement trajectory that has an intersection with the first movement trajectory corresponding to the terminal of the first level as the terminal of the second level, and generate The analysis result corresponding to the second-level terminal, and then the terminal corresponding to the movement trajectory that overlaps the second movement trajectory can be determined as the third-level terminal, and the analysis result corresponding to the third-level terminal is generated to By analogy, the analysis results corresponding to each level can be obtained. In this way, the data analysis network element can feed back to the first network element the analysis results corresponding to the terminals of the first level (that is, the initial level), the second level to the target level, or only the analysis results corresponding to the terminals of the target level, etc. .
  • the first designated area information may be used to instruct the data analysis network element to feed back the analysis result corresponding to the second terminal in the area represented by the first designated area information.
  • the first designated area information may specifically be expressed as coordinate values used to divide the area, for example, the coordinate values of multiple area boundaries may be used to characterize the first designated area; or, it may also be expressed as an administrative area. Such as the use of provinces, cities, counties, townships, etc.; it can also be expressed as a network area served by one or some network elements in the network. For example, when the city indicated by the first designated area information is Wuhan, the second terminal in contact with the first terminal may be determined from all terminals belonging to Wuhan.
  • the request message may also include second designated area information, which may be used to determine the first movement track located in the second designated area.
  • the data analysis network element may determine the second terminal corresponding to the second movement trajectory that has an intersection with the first movement trajectory in the second designated area.
  • the first movement track of the first terminal includes cell (cell) 1 ⁇ cell 2 ⁇ cell 3 in Wuhan
  • the area indicated by the second designated area information includes two positions of cell 1 and cell 2, then data analysis
  • the network element may use the movement trajectory cell 1 ⁇ cell 2 as the first movement trajectory, and feed back the corresponding analysis result.
  • the data analysis network element may also use the movement track of the first terminal in the first designated area as the first movement track.
  • the data analysis network element may also use the aforementioned cell1 ⁇ cell2 ⁇ cell3 as the first movement track of the first terminal.
  • the first designated time information may be used to indicate which time period the data analysis network element feeds back the analysis result.
  • the first designated time information may be used to indicate March 1 to March 20, and correspondingly, the data analysis network element may feed back the analysis result corresponding to the second terminal in contact with the first terminal in the time period.
  • the request message may also include second designated time information, and the second designated time information may be used to determine the movement trajectory of the first terminal within the time period indicated by the second designated time information as the first movement trajectory , So that the data analysis network element determines the second terminal according to the first movement track of the first terminal during the period of time.
  • the data analysis network element may be based on the movement of the first terminal during the time period.
  • the trajectory feeds back the corresponding analysis results.
  • the first designated time information or the second designated time information may be historical time information, current time information, or future time information.
  • the data analysis network element may also use the movement track generated by the first terminal within the time period indicated by the first designated time information as The first movement track.
  • the data analysis network element may use the movement trajectory generated by the first terminal during the aforementioned period from March 1 to March 20 as the first movement trajectory, And to get the corresponding analysis results.
  • any one or more of analysis type identification information, associated level information, first designated area information, second designated area information, first designated time information, and second designated time information can also be pre-configured in the data analysis network Yuanzhong.
  • the correlation level information can be configured as a fixed second or third level in the data analysis network element; for example, the second designated time information can be the time of the last three days, and the data analysis network element can calculate it in real time The second designated time information. In this way, each time the first network element requests the data analysis network element to feed back the corresponding analysis result, there is no need to add the information configured on the data analysis network element to the request message, thereby not only reducing the data volume of the request message, but also It can also improve the efficiency of the first network element requesting the analysis result.
  • the data analysis network element after the data analysis network element obtains the information of the first movement trajectory, it can also perform step S202 according to the information of the first movement trajectory to determine which terminal's movement trajectory overlaps the first movement trajectory.
  • the data analysis network element when the data analysis network element determines the information of the first movement trajectory, it can also determine the movement trajectory information of multiple terminals (may not include the above-mentioned first terminal), so as to determine the movement trajectory information of multiple terminals. According to the information of the movement trajectory of, the terminal corresponding to the movement trajectory that has an intersection with the first movement trajectory is determined (hereinafter, the terminal is referred to as the second terminal).
  • the data analysis network element can obtain location-related information of multiple terminals from other network elements in the network, and determine the corresponding movement track information of each terminal based on the location-related information corresponding to each terminal. . Then, the data analysis network element can compare the information of the first movement trajectory with the information of the movement trajectory corresponding to each terminal to determine whether there is an intersection between the two movement trajectories. If there is, it will have an intersection with the first movement trajectory.
  • the terminal corresponding to the movement track of is determined to be the second terminal, so as to subsequently obtain related information of the second terminal; and if it does not exist, you can continue to compare the information of the first movement track with the information of the next terminal's movement track Yes, to determine whether there is an intersection between the movement trajectory of the next terminal and the first movement trajectory, until all the second terminals whose movement trajectory and the first movement trajectory intersection are determined from multiple terminals, the determined first
  • the number of two terminals can be one or more.
  • the specific implementation manner in which the data analysis network element obtains the information of the movement trajectory corresponding to each terminal is similar to the specific implementation manner in which the data analysis network element obtains the information of the first movement trajectory corresponding to the first terminal, and will not be repeated here. .
  • the request message may also include a determination condition. After the data analysis network element parses the determination condition from the received request message, it can determine whether the movement trajectories of the two terminals overlap according to the determination condition.
  • the determination condition may specifically be any one or more of the following determination conditions, wherein the information of the second movement track of the second terminal may include the information of the second location and the time corresponding to the second location Information:
  • the data analysis network element determines that at least one position in the first movement track of the first terminal and the second movement track of the second terminal is the same, the data analysis network element can determine that the first movement track and the second movement track have an intersection.
  • the data analysis network element can determine that there is an intersection between the movement trajectory of the first terminal and the movement trajectory of the second terminal.
  • the data analysis network element determines that at least one position is the same in the first movement track of the first terminal and the second movement track of the second terminal, and the time when the first terminal is in the same position and the time when the second terminal is in the position If there is at least partial overlap, it can be determined that the first movement trajectory of the first terminal and the second movement trajectory of the second terminal have an intersection.
  • the movement trajectory of the first terminal as cell 1 ⁇ cell 2 ⁇ cell 3 and the movement trajectory of the second terminal as cell 4 ⁇ cell 2 ⁇ cell 5 as an example, not only is the movement trajectory corresponding to the first terminal and the second terminal
  • the time when the first terminal is in cell 2 is 8:00 to 9:00
  • the time when the second terminal is in cell 2 is 8:30 to 9:15
  • the first terminal and the second terminal The time of the terminal in cell 2 overlaps, and the overlap period is 8:30 to 9:30.
  • the data analysis network element can determine that the movement trajectory of the first terminal and the movement trajectory of the second terminal overlap.
  • the data analysis network element determines that there is at least one position that is the same in the first movement trajectory of the first terminal and the second movement trajectory of the second terminal, and the start time when the first terminal enters the same position is the same as that of the second terminal If the time interval between the start times of entering the same position is greater than the preset time interval, it can be determined that there is an intersection between the first movement trajectory and the second movement trajectory.
  • the movement trajectory of the first terminal as cell 1 ⁇ cell 2 ⁇ cell 3 and the movement trajectory of the second terminal as cell 4 ⁇ cell 2 ⁇ cell 5 as an example, not only is the movement trajectory corresponding to the first terminal and the second terminal There is an overlapping position cell 2, and the first terminal enters cell 2 at 8:00, and the second terminal enters cell 2 at 8:01. Then the first terminal and the second terminal enter cell 2
  • the time interval of the start time is 1 minute, which is less than the preset time interval (assumed to be 3 minutes).
  • the data analysis network element can determine that the movement trajectory of the first terminal and the movement trajectory of the second terminal overlap.
  • the data analysis network element determines that at least one position in the first movement track of the first terminal is the same as the second movement track of the second terminal, and the number of the same positions is greater than the preset number, it can determine that the first movement track is the same as the second movement track. There is an intersection in the second movement trajectory.
  • the movement trajectory of the first terminal is cell 1 ⁇ cell 2 ⁇ cell 3 ⁇ cell 4 ⁇ cell 5
  • the movement trajectory of the second terminal is cell 6 ⁇ cell 2 ⁇ cell 3 ⁇ cell 4 ⁇ cell 7, not only the first terminal
  • the data analysis network element can It is determined that there is an intersection between the movement trajectory of the first terminal and the movement trajectory of the second terminal.
  • the NWDAF network element determines that there is at least one position in the movement trajectory of UE1 that is the same as the movement trajectory of UE2, and the same position is continuous in the first movement trajectory or the second movement trajectory, the two UEs can be determined There is an intersection of trajectories of.
  • the movement trajectory of the first terminal is cell 1 ⁇ cell 2 ⁇ cell 3 ⁇ cell 4 ⁇ cell 5
  • the movement trajectory of the second terminal is cell 6 ⁇ cell 2 ⁇ cell 3 ⁇ cell 4 ⁇ cell 7, not only the first terminal
  • the data analysis network element can determine There is an intersection between the movement trajectory of the first terminal and the movement trajectory of the second terminal.
  • the data analysis network element determines that at least one position in the first movement track of the first terminal and the second movement track of the second terminal is the same, and the overlap period corresponding to the first terminal and the second terminal at the same position is greater than the preset Time length, it can be determined that there is an intersection between the first movement trajectory and the second movement trajectory.
  • the judgment conditions can also be adaptively combined with the above five exemplary judgment conditions.
  • the determination condition may also be that the first terminal's first movement track and the second terminal's second movement track have the same position, and the first terminal and the second terminal The times corresponding to the two terminals at the same location at least partially overlap, and the time interval of the start time of the same location is less than the preset time interval.
  • the specific realization that the overlap duration corresponding to the same position in the first movement trajectory and the second movement trajectory is greater than the preset duration may be any one of the following implementation manners:
  • Embodiment 1 The overlap duration corresponding to at least one location in the same location in the first movement track and the second movement track is greater than the preset duration.
  • the movement trajectory of UE1 is cell 1 ⁇ cell 2 ⁇ cell 3
  • the movement trajectory of UE2 is cell 4 ⁇ cell 2 ⁇ cell 5
  • the time when UE1 is in cell 2 is from 8:00 to 9:00, and UE2 is in The time of cell 2 is from 8:30 to 9:15
  • the same position cell 2 exists in the corresponding movement trajectories of UE1 and UE2
  • the overlap period of UE1 and UE2 in this cell 2 is 30 minutes (ie 8: 30 to 9:00), which is longer than the preset duration (assumed to be 10 minutes). Therefore, the NWDAF network element can determine that the overlap duration corresponding to the same position in the moving trajectory of UE1 and UE2 is greater than the preset duration.
  • Embodiment 2 The same position in the first movement track and the second movement track includes the same position continuously (that is, the same position change of the first terminal and the second terminal continuously), and there is the same position in the continuous same position
  • the overlap duration corresponding to at least one position is greater than the preset duration.
  • the movement trajectory of UE1 is cell 1 ⁇ cell 2 ⁇ cell 3 ⁇ cell 4 ⁇ cell 5
  • the movement trajectory of UE2 is cell 6 ⁇ cell 2 ⁇ cell 3 ⁇ cell 4 ⁇ cell 7, then UE1 and UE2 respectively correspond to the movement There are consecutively the same positions cell 2, cell 3, and cell 4 in the trajectory.
  • the NWDAF network element It can be determined that the overlap duration corresponding to the same position in the movement trajectory of UE1 and UE2 is greater than the preset duration.
  • Embodiment 3 The same position in the first movement trajectory and the second movement trajectory includes multiple positions, and the sum of the overlapping durations corresponding to each position is greater than the preset duration. For example, suppose that the movement trajectory of UE1 is cell 1 ⁇ cell 2 ⁇ cell 3, the movement trajectory of UE2 is cell 4 ⁇ cell 2 ⁇ cell 3, and the time that UE1 is in cell 2 and cell 3 are 8:00 to 9:00, respectively , 9:00 to 10:00, the time when UE2 is in cell 2 and cell3 are 8:30 to 9:15, 9:15 to 10:30, respectively, UE1 and UE2 have the same position in the corresponding movement trajectory cell 2.
  • the NWDAF network element can determine the same positions in the movement trajectories of UE1 and UE2 The sum of the corresponding overlapping durations is greater than the preset duration.
  • Embodiment 4 The same positions in the first movement track and the second movement track include consecutive identical positions, and the sum of overlapping durations corresponding to the consecutive identical positions is greater than the preset duration.
  • the movement trajectory of UE1 is cell 1 ⁇ cell 2 ⁇ cell 3
  • the movement trajectory of UE2 is cell 4 ⁇ cell 2 ⁇ cell 3
  • the time that UE1 is in cell 2 and cell 3 are from 8:00 to 9 respectively. :00, 9:00 to 10:00
  • the time that UE2 is in cell 2 and cell 3 are 8:30 to 9:15, and 9:15 to 10:30 respectively
  • UE1 and UE2 are in the overlap duration of cell 2 and cell 3
  • the total of is 75 minutes, which is greater than the preset duration (assumed to be 60 minutes). Therefore, the NWDAF network element can determine that the sum of overlapping durations corresponding to the same positions in the moving trajectories of UE1 and UE2 is greater than the preset duration.
  • the NWDAF network element may determine that the sum of the overlapping durations corresponding to the same positions in the movement trajectories of UE1 and UE2 is not greater than the preset duration.
  • the data analysis network element may also be combined with any of the above four implementation manners to determine whether the overlap duration corresponding to the same position in the two movement trajectories is greater than the preset duration, which is combined in this embodiment. Not limited.
  • the data analysis network element may execute step S203 to generate a corresponding analysis result for the second terminal.
  • the analysis result may include any one or more of the following information:
  • the third movement trajectory may be at least a part of the overlapping trajectory between the first movement trajectory and the second movement trajectory, and specifically may be a partially overlapping trajectory or a fully overlapping trajectory.
  • the identification information of the multiple second terminals may be fed back in the form of an identification list .
  • the information analysis result of the second movement track may include the second location where the second terminal is located and the information corresponding to the time when the second terminal is located at the second location (for example, the start time when the second terminal is located at the second location). , End time or stay time, etc.), information about the same position in the first and second movement tracks, and information about the overlap time corresponding to the same position in the first and second movement tracks (such as the first terminal Any one or more of the time period when the second terminal is located at the same location at the same time, etc.).
  • the analysis result of the activity of the second terminal may be used to indicate the degree of mobility or the degree of conversation of the second terminal in the network.
  • the analysis result of the activity of the second terminal may specifically be a value used to indicate the activity level of the second terminal, a level used to indicate the activity level of the second terminal, and the re-registration of the second terminal in the network.
  • the number of times, the number of times the location of the second terminal changes in the network, the number of times the second terminal enters the preset location, the number of services initiated when the second terminal is at the preset location, and the number of services initiated when the second terminal is at the preset location Any one or more of.
  • the value used to indicate the level of activity of the second terminal and/or the level of activity used to indicate the level of the second terminal may also be determined by the data analysis network element according to the status of the second terminal in the network.
  • the number of re-registrations, the number of changes in the location of the second terminal in the network, the number of times the second terminal enters the preset location, the number of services initiated when the second terminal is at the preset location, and the services initiated when the second terminal is at the preset location Any one or more types of information in the number of times are determined.
  • the analysis result of the activity of the second terminal may also be finely adjusted according to the second location where the second terminal is located and/or the service initiated by the second terminal.
  • different weight parameters can be set for different second positions where the second terminal is located. For example, in an epidemic monitoring scenario, the second position A with a higher disease infection rate can be set with a larger weight parameter , The second location B with a lower disease infection rate is set with a smaller weight parameter, so that the activity of the second terminal at the second location A can be higher/greater than the activity of the second terminal at the second location B .
  • different weight parameters can also be configured for different services initiated by the second terminal.
  • a larger weight can be set for type A services (for example, medical services in an epidemic monitoring scenario) Parameter, set a smaller weight parameter for type B services (for example, game services, etc.), so that the activity of the second terminal that initiates type A services is higher/greater than that of the second terminal that initiates type B services Activity.
  • type A services for example, medical services in an epidemic monitoring scenario
  • type B services for example, game services, etc.
  • the risk analysis result of the second terminal may specifically include any one or more of the risk category, risk degree, and risk release time of the second terminal.
  • the risk category of the second terminal can indicate the risk category to which the user holding the second terminal belongs.
  • the second terminal can be divided into categories with greater risk, categories with less risk, and categories without risk, etc.
  • the user holding the second terminal can be divided into users with greater risk (such as the risk of infection in an epidemic monitoring scenario), users with less risk, and users without risk, etc.
  • the specific implementation of the risk category of the second terminal is not limited to the above example.
  • the degree of risk can be used to characterize the degree of risk of the user holding the second terminal. For example, in an epidemic monitoring scenario, the degree of risk can characterize the risk of infection of the user holding the second terminal.
  • different grades, numerical values, and other identifiers may be defined to characterize the degree of risk. For example, the four levels of “high”, “medium”, “low” and “none” can be used as indicators to characterize the degree of risk. Among them, “high” means higher risk, and “no” means no risk. Risks, etc., and so on.
  • letters or numbers can be used to identify the degree of risk, such as using "A", “B”, “C” and “D” to indicate high-risk, medium-risk, low-risk, and no-risk, or using "3", “2", "1” and “0” are used to characterize high-risk, medium-risk, low-risk, and no-risk in turn.
  • the level of the value can be used to characterize the degree of risk. For example, a value between 0 and 100 is used to characterize the degree of risk. Also, the larger the value, the higher the degree of risk, and the smaller the value, which indicates the degree of risk. The lower.
  • the data analysis network element can also determine the level of risk according to the value that characterizes the risk level of the second terminal. For example, when the value is between 70 and 100, the first terminal can be determined. The level of the risk level of the second terminal is "high", and when the value is between 30 and 70, it can be determined that the level of the risk level of the second terminal is "medium” and so on.
  • the specific implementation manners for characterizing the degree of risk are not limited in this embodiment.
  • the risk release time may refer to the time for the second terminal from the current risk level to reach no risk or low risk profile. For example, in an epidemic monitoring scenario, if the incubation period of the disease is 14 days, the risk release time of the second terminal may be the 15th day from the date of contact between the second terminal and the first terminal.
  • the information analysis result of the second movement trajectory of the second terminal may be the information analysis result of the movement trajectory of each second terminal, or it may be based on the information analysis result of the movement trajectory of each second terminal.
  • the information analysis result of the movement trajectory is the result of aggregation processing to obtain the information analysis result of the aggregate movement trajectory.
  • the two analysis results can also be included at the same time.
  • the information analysis result of the aggregated movement trajectory may include the position of the first movement trajectory that overlaps with the second movement trajectory of each second terminal, and the position of the first movement trajectory and the same position in the second movement trajectory of each second terminal.
  • the average activity analysis result of multiple second terminals may be the average value of the activity value corresponding to each second terminal; when the activity of each second terminal When it is expressed as a level, it can be proportionally weighted and calculated for each level corresponding to different second terminals to obtain a weighted value, and the weighted value is subjected to cosine classification processing, and the level indicated by the obtained cosine classification result is regarded as a plurality of first 2.
  • the average activity analysis result of the terminal is similar to the average activity analysis result.
  • the average risk level analysis result of multiple second terminals can be the corresponding risk level of each second terminal The average value of the numerical value; when the risk level of each second terminal is expressed as a level, it can be weighted and calculated in proportion to each level corresponding to different second terminals to obtain a weighted value, and perform cosine classification processing on the weighted value, The level indicated by the obtained cosine classification result is used as the average risk degree analysis result of the plurality of second terminals.
  • the analysis result determined by the data analysis network element network element may also include the information analysis result of the third movement trajectory of the second terminal, and the information analysis result of the third movement trajectory may include the following Any one or more of information:
  • the identification information of the second terminal corresponding to the information of the third movement trajectory (at this time, the second movement trajectory of all the second terminals includes the third movement trajectory), the number of second terminals corresponding to the information of the third movement trajectory ,
  • the information of the third movement track contains the information of each second location, the information of the second terminal located at the third movement track contains the information of the time corresponding to the second position, and the information of the second terminal corresponding to the information of the third movement track.
  • the activity analysis result and the risk analysis result of the UE2 corresponding to the information of the third movement trajectory.
  • the second terminal corresponding to the information of the third movement track refers to the second terminal whose movement track includes the third movement track.
  • the information analysis result of the third movement trajectory is similar to the information analysis result of the second movement trajectory of the aforementioned second terminal.
  • the relevant description of the aforementioned information analysis result of the second movement trajectory I won’t go into details here.
  • the information analysis result of the third movement track may include the information analysis result of the second movement track of each second terminal, and/ Or, the information analysis result of the aggregated movement trajectory obtained by performing aggregation processing on the information analysis result of the second movement trajectory of the multiple second terminals corresponding to the information of the third movement trajectory.
  • the information analysis result of the aggregated movement trajectory of the multiple second terminals corresponding to the third movement trajectory information is similar to the aforementioned information analysis result of the aggregated movement trajectory of the multiple second terminals. I won’t go into details here.
  • the analysis result fed back by the data analysis network element to the first network element may not only include the above-mentioned related information of the second terminal, but also include the related information of the first terminal, such as the information including the first movement track of the first terminal. , Any one or more of information such as the activity analysis result of the first terminal, and the risk analysis result of the first terminal.
  • the analysis result fed back by the data analysis network element to the first network element may also include analysis type identification information, so that the analysis type identification information can be used to identify the analysis result. What kind of information is included.
  • the analysis result may also include the analysis type identification of the activity analysis result.
  • the data The analysis network element can further determine the next-level terminal corresponding to the movement trajectory that overlaps with the second movement trajectory based on the information of the second movement trajectory of the second terminal, so as to determine the correlation of the next-level terminal.
  • the information is fed back to the data analysis network element along with the analysis result.
  • the specific implementation of determining the relevant information of the next-level terminal according to the information of the second movement track is similar to the specific implementation of determining the relevant information of the second terminal according to the information of the first movement track, and will not be described here. Go into details.
  • the relevant information of the terminal of the target level can be determined step by step.
  • the analysis result fed back by the data analysis network element to the first network element may include the identification information of the terminal in the target sector, the number of target-level terminals, the information analysis result of the movement trajectory of the target-level terminal, and the activity of the target-level terminal.
  • the analysis result of the target level and the risk analysis result of the target-level terminal; or, the analysis result fed back by the data analysis network element to the first network element, in addition to the relevant information of the target level may also include the initial-level terminal (the above-mentioned first terminal ) To the relevant information of the previous level terminal of the target level.
  • the first network element may determine a corresponding processing strategy based on the analysis result, so that the first network element can perform processing operations corresponding to the processing strategy. For example, when the analysis result received by the first network element includes the identification of the second terminal, the first network element may send indication information to the second terminal to indicate to the second terminal that its movement trajectory overlaps with the first movement trajectory , So that the user holding the second terminal can learn that he has contact with the user holding the first terminal.
  • the analysis result includes the identification of the second terminal and the activity analysis result of the second terminal
  • the activity analysis result of the second terminal is at a “high” level
  • the first network element can send corresponding warning information to the second terminal according to the identification of the second terminal to inform the user that he has been in contact with the confirmed user, thereby facilitating The user shall be quarantined or treated in time.
  • the data analysis result requested by the first network element is the first designated The analysis result corresponding to the area information and/or the first designated time information, so that the first network element can also determine the processing strategy corresponding to the first designated area information and/or the first designated time information according to the analysis result, so as to execute the processing strategy corresponding to the first designated area information and/or first designated time information.
  • the processing operation corresponding to the processing strategy.
  • the first network element may send notification information to all terminals whose movement trajectory is located in the area indicated by the first designated area information, and/or the movement trajectory is within the time period indicated by the first designated time information, so as to facilitate Notify these terminals of related information about the second terminal, such as notifying these terminals about the risk level of the second terminal in the first designated area or within the first designated time.
  • the first network element may determine the degree of danger in the area according to the number of second terminals located in the area indicated by the first designated area information (usually, the greater the number of second terminals, the greater the degree of danger) Therefore, according to the degree of danger in the area, the same treatment strategy is adopted, wherein different degree of danger can correspond to different treatment strategies.
  • the first network element may determine the processing strategy corresponding to the information of the third movement trajectory according to the information analysis result of the third movement trajectory , So that the first network element can perform corresponding operations according to the processing strategy. For example, the first network element can send notification messages to all terminals that have an intersection with the third movement trajectory, or all terminals that are close to the third movement trajectory, so as to notify users holding these terminals to avoid going to the third movement.
  • the position included in the trajectory that is, the position passed by the second terminal), etc.
  • the data analysis network element determines the second terminal based on the information of the first movement track including location information and time information.
  • the information of the first movement track may also only include location information.
  • the data analysis network element may specifically determine the first movement trajectory and the first movement trajectory.
  • the data analysis network element determines that the same position exists , It is further determined whether the number of the same positions is greater than the preset number, if so, it is determined that the two movement trajectories have an intersection, and if not, it is determined that the two movement trajectories do not have an intersection. In another possible implementation manner, after the data analysis network element determines that the first movement track and the second movement track have the same position, it further determines whether the same position is in the first movement track and/or the second movement track.
  • the data analysis network element may also determine, according to the aforementioned first designated time information, which terminals generate movement trajectories and which are related to the first designated time period within the time period characterized by the first designated time information. There is an intersection of movement trajectories.
  • the user can carry the terminal with him, and the movement trajectory of the terminal is the movement trajectory of the object carrying the terminal.
  • the data analysis network element can obtain the information of the first movement trajectory.
  • the information may specifically include the information of the first position and the time information corresponding to the first position; then, the data analysis network element may determine the second movement trajectory of the second terminal and the first movement trajectory according to the information of the first movement trajectory.
  • the data analysis network element can send to the first network element after determining the second terminal.
  • the analysis result corresponding to the second terminal may include the second terminal related information, for example, the identification information of the second terminal, the number of the second terminal, the information analysis result of the movement track of the second terminal, and the second terminal Any one or more of the activity analysis result of the second terminal, the risk analysis result of the second terminal, and the information analysis result of the third movement track, so that the first network element obtains the first (directly or indirectly) contact with the terminal Related information of the second terminal, where the third movement track may include at least a part of the overlapping track between the first movement track and the second movement track.
  • the information of the analysis result of the second terminal corresponding to the second movement trajectory that has an intersection with the first movement trajectory is obtained based on the above process, which can improve the detection efficiency and reduce the possibility of error.
  • the technical solutions of the embodiments of the present application will be exemplified below in conjunction with the specific scenario of epidemic monitoring.
  • scenario embodiment shown in FIG. 3 is only used as an exemplary description, and is not used to limit the technical solution of the embodiment of the present application to be limited to the example shown in FIG. 3 during specific implementation.
  • the technical solutions of the embodiments of the present application can be applied to other scenarios other than epidemic monitoring, or the steps and/or information content shown in Figure 3 can be added or deleted as appropriate.
  • the following request message can only contain UE1’s Any one or more of identification, analysis type identification information, associated level information, first designated area information, first designated time information, and determination conditions.
  • the method may specifically include:
  • the AF network element or the NF network element sends a request message to the NWDAF network element.
  • the request message carries the identification of the specified UE1, the analysis type identification information, the determination condition, the association level information, the first designated area information, and the first designated Time information.
  • the relevant information of UE1 may be used to determine the relevant information of UE2 that is in contact with UE1.
  • the AF network element or the NF network element in the network may send a request message to the NWDAF network element to request relevant information of the UE2 that is in contact with the UE1.
  • the AF network element may be triggered by UE1 or the NF network element may request the NWDAF network element to feed back the analysis result corresponding to UE1 to determine whether UE1 is in contact with certain UE2 at certain location(s), Information on the time of contact at this location (such as the start time, end time, and contact duration, etc.) of the contact.
  • UE2 may also generate the request message, and forward the request message to the NWDAF network element through the AF network element or the NF network element, and analyze the feedback of the NWDAF network element through the AF network element or the NF network element The result is forwarded to UE2.
  • UE2 can determine whether UE2 is in contact with UE1 held by some users who are confirmed to be infected by initiating a request message and obtaining the analysis result, so that the user holding UE2 can confirm whether he is infected or not. The risk of infection.
  • the AF network element or the NF network element can request to compare whether there is contact between UE1 and UE2, and can send a request message containing the identification information of UE1 and UE2 to the data analysis network element, or send a request message containing UE1
  • UE1 and UE2 are terminals held between friends/couples. After one of them is confirmed to be infected, it is determined by determining whether there is an intersection between the movement trajectories of UE1 and UE2. Whether the other party is infected and/or the degree of risk of being infected.
  • the NF network element may be an AMF network element, a UDM network element, or other NWDAF network elements.
  • the request message may be transmitted to the requested NWDAF network element through the NEF network element.
  • the NEF network element forwards the request message, it can also map and convert the external information contained in the request message that is not recognized by the NWDAF network element into internal information that can be recognized by the NWDAF network element, so as to facilitate the information identification of the NWDAF network element.
  • the request message may contain the geographic location information corresponding to the designated area information.
  • the geographic location information may specifically be expressed as latitude and longitude or administrative area, etc., and the NEF network element may map the geographic location information to a network location that can be recognized by the NWDAF network element.
  • Information such as cell, tracking area (tracking area, TA), etc.
  • the NEF network element can convert the identification information of UE1 from the external identification information into NWDAF network element, but other internal identification information (such as SUPI, etc.) ).
  • the NEF network element can also authenticate the first network element. Specifically, the NEF network element can determine whether the first network element has the authority to obtain the analysis result. If the first network element has the authority to obtain the analysis result, it determines to forward the request message to the data analysis network element, and if the first network element If you do not have the authority to obtain the analysis result, you can refuse to forward the request message for the first network element. For example, the NEF network element may first determine whether the request message sent by the AF network element contains emergency indication information. The emergency indication information is used to indicate the request message sent by the first network element due to an emergency or a public safety event.
  • the NEF network element can refuse to forward the request message to the data analysis network element for the AF network element. Therefore, the NEF network element may only send the first network element sending request message to the data analysis network element when receiving the emergency indication information.
  • the NWDAF network element can also authenticate the first network element. For the method, refer to the NEF authentication method for the first network element.
  • the designated UE1 may be the UE held by the confirmed user in the epidemic monitoring scenario, so as to determine the other UE2 in contact with the UE1, and the user holding the UE2 is more likely to be related to the confirmed user Infected by contact; or, the designated UE1 may be a UE held by users who are at greater risk of being infected in an epidemic monitoring scenario, so that other users who are in contact with these users can be determined.
  • the number of UE1 may be one or more, and when the number of UE1 is multiple, the AF or NF network element may request the NWDAF network element to feed back relevant information of UE2 that is in contact with multiple different UE1 respectively.
  • the identification information of UE1 may specifically be any one or more of GPSI, SUPI, IMSI, IMEI, GEI, application user ID, and IP quintuple information.
  • the analysis type identification information may be used to indicate which type of analysis result is requested from the NWDAF network element.
  • the request message can include the analysis type identification requesting the number of UE2, which can be used to request the NWDAF network element to feed back the number of UE2 that overlaps the movement trajectory of UE1; for example, the request message can include the analysis type requesting the activity of UE2.
  • the identifier is used to request the NWDAF network element to feed back the UE2 activity analysis result.
  • the request message may contain one or more analysis type identification information, which is used to request one or more different contents from the NWDAF network element.
  • the request message may also include higher-level analysis type identification information, that is, when the higher-level analysis type identification information is included in the request message, the NWDAF network element may be instructed to feed back analysis results corresponding to multiple analysis types. , Such as including the identification, quantity, information analysis result of the second movement trajectory, activity analysis result, and risk analysis result of the aforementioned UE2 at the same time.
  • the association level information may be used to indicate the target level of the UE associated with the movement track of the UE1.
  • the association level information may be expressed as a numerical value.
  • the association between two adjacent generations of UEs may specifically refer to the intersection of the movement trajectories of the two generations of UEs.
  • the first-generation UE (ie UE1) can be a UE held by a user with a confirmed disease
  • the second-generation UE can be a UE held by a user who is in contact with a user with a confirmed disease (ie, a user suspected of being infected)
  • a user holding a third-generation UE may be a user who has contact with a user holding a second-generation UE, and so on.
  • the associated level information is specifically the value N (N is a positive integer greater than 1)
  • the AF network element or the NF network element can request the NWDAF network element to feed back the analysis result corresponding to the Nth generation UE, or feed back the first generation UE to the Nth generation UE. Analysis results corresponding to any generation UE in the generation UE, etc.
  • the association level information may also be pre-configured in the NWDAF network element.
  • the NWDAF network element can feed back the corresponding analysis result and the second generation UE by default.
  • the NWDAF network element can use the association level information carried in the request message.
  • the information prevails, and the corresponding analysis results are fed back (for example, only the analysis results corresponding to the second generation UE are fed back, and the analysis results corresponding to the third to fifth generations are not fed back).
  • the first designated area information may be used to instruct the NWDAF network element to feed back a corresponding analysis result in the area represented by the first designated area information.
  • the request message may also include second designated area information, and the second designated area information may be used to determine the movement trajectory of the UE1 located in the second designated area, so that the NWDAF network element can based on the second designated area information.
  • the movement trajectory in the second designated area determines the analysis result.
  • the data analysis network element may also use the movement track of the UE1 in the first designated area as the first movement track.
  • the first designated time information may be used to indicate which time period the NWDAF network element feeds back the analysis result.
  • the request message may also include second designated time information, and the second designated time information may be used to determine the movement track of the UE1 during the time period indicated by the second designated time information as the first A movement trajectory so that the NWDAF network element can determine the analysis result based on the movement trajectory generated by UE1 during this period of time.
  • the first designated time information or the second designated time information may be historical time information, current time information, or future time information.
  • the data analysis network element may also use the movement track generated by the UE1 during the time period indicated by the first designated time information as the first Movement track.
  • the judgment condition refers to the judgment condition of whether there is an intersection of two movement trajectories.
  • the movement trajectory of the UE refers to the trajectory formed by each network location where the UE is located in sequence.
  • the determination condition may also be pre-configured in the NWDAF network element, so that it does not need to be carried in the request message. In this way, each time the AF network element or the NF network element requests the NWDAF network element to feed back the analysis result corresponding to the UE1, there is no need to carry the determination condition in the request message sent each time.
  • the determination condition can also be used as a limiting condition for the NWDAF network element to report the analysis result to the AF or NF network element, that is, when the NWDAF network element determines that the information about the movement trajectory of UE1 and UE2 meets the above determination condition At that time, the NWDAF network element reports the corresponding analysis result to the AF network element or the NF network element.
  • the AF network element or NF network element sends a request message to request to obtain the analysis result corresponding to UE1 as an example for exemplification.
  • NWDAF may also actively send to the AF network element or The NF network element feeds back the analysis result corresponding to UE1.
  • NWDAF can periodically feed back the analysis result corresponding to UE1, or when certain reporting conditions are met, NWDAF actively feeds back the analysis result corresponding to UE1.
  • the NWDAF network element obtains location-related information of UE1 according to the identifier of UE1 included in the request message.
  • NWDAF can obtain location-related information corresponding to UE1 from the AF network element and/or NF network element according to the UE1 identity contained in the request message, where the NF network element may be, for example, an AMF network element, RAN Network elements, OAM network elements, GMLC (gateway mobile location center) network elements, LMF network elements and other network elements.
  • the NWDAF network element may send a request for obtaining location-related information of UE1 to these network elements, so as to request these network elements to feed back the location-related information of UE1 to the NWDAF network element.
  • the NWDAF network element when other network elements feed back location-related information of UE1 to the NWDAF network element, they may also feed back location-related information of other UEs to the NWDAF network element. For example, when the request message contains the first designated area information, other UEs located in the first designated area may be in contact with the UE1. Therefore, when other network elements feed back UE1's location-related information to the NWDAF network element, they can also Feed back the location-related information of other UEs in the first designated area to the NWDAF, so that the NWDAF can determine which UEs are in contact with the UE1 in the first designated area. For another example, when the request message includes the first designated time information, other network elements may feed back to the NWDAF network element location related information of other UEs within the time period indicated by the first designated time information.
  • the NWDAF network element determines the information of the first movement track of the UE1 according to the location-related information of the UE1, and the information of the first movement track includes the information of the first position and the information of the time corresponding to the first position.
  • the NWDAF network element determines the UE2 corresponding to the second movement trajectory that has an intersection with the first movement trajectory of the UE1 according to the determination condition in the request message.
  • the NWDAF network element may determine which UEs (hereinafter referred to as UE2) whose movement trajectories overlap with the first movement trajectory of the UE1 according to the determination condition carried in the request message.
  • UE2 determined by the NWDAF network element may be one UE or multiple UEs.
  • the movement trajectory of UE2 (hereinafter referred to as the second movement trajectory) has an intersection with the first movement trajectory, it can be determined that there is contact between the UE2 and UE1, and it can also be determined that the user holding the UE2 is in contact with the first movement trajectory. There is contact between the users holding the UE1.
  • the contact in this embodiment is not limited to two UEs physically touching each other. When the two UEs are not physically touching each other but are located at the same position, it can also be considered that there is between the two UEs. touch.
  • the determination condition may specifically be any one or more of the following determination conditions, where the information about the second movement track of UE2 includes information about the second position and the time corresponding to the second position Information:
  • the two UEs respectively correspond to the same position in the moving trajectory.
  • the NWDAF network element determines that at least one position in the first movement trajectory of UE1 and the second movement trajectory of UE2 is the same, the NWDAF network element can determine that the movement trajectories of the two UEs have an intersection.
  • the two UEs respectively correspond to the same position in the movement trajectories, and the time corresponding to the same position is at least partially overlapped.
  • the NWDAF network element determines that the movement trajectory of UE1 and the movement trajectory of UE2 have at least one position that is the same, and that the time when UE1 is in the same position and the time when UE2 is in that position at least partially overlap, it can determine that the two The movement trajectories of the two UEs have an intersection.
  • the two UEs respectively correspond to the same position in the moving trajectories, and the time interval between the start times when the UE1 and the UE2 are located at the same position is less than the preset time interval.
  • the NWDAF network element determines that the movement trajectory of UE1 and the movement trajectory of UE2 have at least one position identical, and the time interval between the start time when UE1 enters the same position and the start time when UE2 enters the same position If it is less than the preset time interval, it can be determined that the movement trajectories of the two UEs have an intersection.
  • the moving speeds of UE1 and UE2 can be determined according to the time interval between the start times when UE1 and UE2 enter different positions each time, so that the moving speeds of UE1 and UE2 can be further used to determine whether UE1 and UE2 are Located in the same vehicle, for example, it is determined whether UE1 and UE2 are in the same bus.
  • the NWDAF network element determines that there is at least one position in the movement trajectory of UE1 that is the same as the movement trajectory of UE2, and the number of the same positions is greater than the preset number, it can determine that the movement trajectories of the two UEs have an intersection.
  • the NWDAF network element determines that there is at least one position in the movement trajectory of UE1 that is the same as the movement trajectory of UE2, and the same position is continuous in the first movement trajectory or the second movement trajectory, the two UEs can be determined There is an intersection of trajectories of.
  • the NWDAF network element determines that there is at least one position in the movement trajectory of UE1 that is the same as that of UE2, and that the overlap period corresponding to UE1 and UE2 being in the same position is greater than the preset time period, it can determine that the two UEs’ There is an intersection of movement trajectories.
  • the specific implementation that the overlap duration corresponding to the same position in the two movement tracks is greater than the preset duration may be any one of the following implementation manners:
  • Embodiment 1 The overlapping duration corresponding to at least one location in the same location in the moving trajectory of UE1 and UE2 is greater than a preset duration.
  • Embodiment 2 There are consecutive identical positions in the same positions in the movement trajectories of UE1 and UE2 (that is, UE1 and UE2 continuously undergo the same position changes), and there is at least one position corresponding to the overlap duration in the consecutive identical positions Greater than the preset duration.
  • Embodiment 3 The same position exists in the same position in the moving trajectory of UE1 and UE2, and the sum of overlapping durations corresponding to the same position is greater than the preset duration.
  • Embodiment 4 The same position exists in the same position in the moving trajectory of UE1 and UE2, and the sum of overlapping durations corresponding to consecutive identical positions in the same position is greater than the preset duration.
  • the fourth embodiment further requires the sum of the overlapping durations to be the sum of the overlapping durations of consecutive identical positions.
  • the NWDAF network element can also combine any of the above four implementation manners to determine whether the overlap duration corresponding to the same position in the two movement trajectories is greater than the preset duration. This is not the case in this embodiment. Qualify.
  • the NWDAF network element may also continue to determine the second movement track information of UE2 based on the second movement track information of UE2.
  • the third-generation UE corresponding to the intersecting movement trajectory of the two movement trajectories.
  • the NWDAF network element may continue to determine the intersection with the third-generation UE's movement trajectory based on the movement trajectory information of the third-generation UE.
  • the fourth-generation UE corresponding to the trajectory of. In this way, UEs of each association level within the target level can be determined.
  • the specific implementation manner of the third-generation UE is determined according to the information of the second movement trajectory of UE2, which is similar to the implementation manner of determining UE2 according to the information of the first movement trajectory of UE1, which can be described with reference to the foregoing description, and will not be repeated here. .
  • the specific implementation manners for determining the fourth-generation UE to the Nth-generation UE are the same, and N is the target level number represented by the association level information.
  • the NWDAF network element When the level represented by UE2 is consistent with the target level represented by the association level information in the request message, the NWDAF network element directly executes step S306 after executing step S304.
  • the NWDAF network element determines the analysis result.
  • the analysis result includes at least the identification information of UE2, the number of UE2, the information analysis result of the second movement trajectory of UE2, the activity analysis result of UE2, the risk analysis result of UE2, and the third mobile
  • the NWDAF network element can generate corresponding analysis results.
  • the generated analysis results can at least include the identification information of UE2, the number of UE2, the information analysis result of the second movement trajectory of UE2, and the activity analysis result of UE2. , Any one or more of the risk analysis result of UE2 and the information analysis result of the third movement trajectory.
  • the third movement trajectory may be at least a part of the overlapping trajectory between the first movement trajectory and the second movement trajectory, and specifically may be a partially overlapping trajectory or a fully overlapping trajectory.
  • the identification information of multiple UE2 may be fed back in the form of an identification list.
  • the information analysis result of the second movement trajectory of UE2 may include the information of the second position where UE2 is located, the information of the corresponding stay time when UE2 is located at the second position (such as the start time when UE2 enters the second position, The end time of leaving the second position or the time period corresponding to each second position, etc.), the information of the same position in the first movement trajectory of UE1 and the second movement trajectory of UE2, the first movement trajectory of UE1 and the second movement of UE2 Any one or more of the overlapping time information corresponding to the same position in the movement track (for example, the time period when UE1 and UE2 are located at the same position at the same time, etc.).
  • the result of UE2's activity analysis can be used to indicate the degree of mobility or the degree of conversation of UE2 in the network.
  • the activity analysis result of UE2 can be expressed as a specific numerical value.
  • the activity analysis result can be expressed as a numerical value from 1 to 100. The larger the numerical value, the greater the degree of mobility of UE2 in the network. The higher the degree of conversationality, the smaller the value, which characterizes the degree of mobility of UE2 in the network or the lower the degree of conversationality; it can also be expressed as a specific level, for example, the result of the activity analysis can be expressed as "high” or “higher”. ",” “medium”, “low” and “low” (arranged in order of activity) five levels, etc.
  • the result of UE2's activity analysis can also be expressed as the number of re-registrations of UE2 in the network.
  • the number of re-registrations of UE2 in the network is taken as the result of the active analysis indicating the degree of mobility or conversational degree of UE2 in the network; further, the number of re-registrations of UE2 in the network can be specifically that UE2 is within a preset period of time.
  • the number of re-registrations of the UE2 can be specifically expressed as the frequency of UE2 re-registration in the network and so on.
  • the result of UE2’s activity analysis can also be expressed as the number of changes of UE2’s location in the network.
  • the second movement trajectory of UE2 is cell 1 ⁇ cell 2 ⁇ cell3 ⁇ cell 4
  • UE2 The number of location changes in the network is 3; further, the number of location changes of UE2 in the network can be specifically the number of location changes of UE2 within a preset period of time, so that the result of UE2’s activity analysis can specifically be expressed as UE2’s presence in the network The frequency of changes in the location, etc.
  • the result of UE2's activity analysis can also be expressed as the number of times UE2 has entered a preset location (that is, one or more specific locations), or UE2 has entered the preset within a preset period of time. The frequency of the location.
  • the result of UE2's activity analysis can also show the number of services initiated when UE2 is in the preset position, or the number of services initiated when UE2 is in the preset position.
  • the service may be in a specific service set.
  • the specific services included can also be any services that UE2 can initiate.
  • the number of services initiated by UE2 can be numerically equal to the number of services initiated by UE2, that is, the number of services initiated by UE2 is different each time; or, the number of services initiated by UE2 is numerically less than the number of services initiated by UE2. Initiate business requests for the same business multiple times, etc.
  • the analysis result of UE2's activity may include a value indicating the level of activity of UE2, a level used to indicate the level of activity of UE2, the number of re-registrations of UE2 in the network, and the number of location changes of UE2 in the network. , The number of times UE2 enters the preset location, the number of services initiated when UE2 is at the preset location, and any one or more of information from the number of services.
  • the NWDAF network element may be initiated based on the number of re-registrations of UE2 in the network, the number of location changes of UE2 in the network, the number of times UE2 has entered the preset location, and the time that UE2 is in the preset location. Any one or more of information from the number of services and/or the number of services is used to determine the value and/or level used to indicate the activity level of the UE2.
  • the NWDAF network element can determine to use The level indicating the activity level of UE2 is "higher".
  • the result of the UE2 activity analysis can also be finely adjusted according to the location where the UE2 is located and/or the different services initiated by the UE2.
  • different weight parameters can be set for different positions of the UE. For example, in an epidemic monitoring scenario, a larger weight parameter can be set for the position A with a higher disease infection rate to reduce the disease infection rate. The lower location B sets a smaller weight parameter, so that the activity of the UE located in the location A can be higher/greater than the activity of the UE located in the location B.
  • different weight parameters can also be configured for different services initiated by the UE. For example, a larger weight parameter can be set for type A services (for example, medical services in an epidemic monitoring scenario).
  • a smaller weight parameter is set for a type B service (for example, a game service, etc.), so that the activity level corresponding to the UE that initiates the type A service is higher/greater than the activity level corresponding to the UE that initiates the type B service.
  • a type B service for example, a game service, etc.
  • the UE2 activity analysis result can also be used to indirectly reflect the correlation between UE2 and emergency events, and the correlation between UE2 with higher activity and emergency events may be higher than the UE2 with higher activity.
  • Low UE's relevance to emergencies For example, in an epidemic monitoring scenario, an emergency event can be expressed as a suspected infection event. When the UE's activity is high, it indicates that it has a greater correlation with the emergency event, that is, the user holding the UE is suspected of being infected. The possibility of infection is relatively high; and when the activity of the UE is low, it indicates that the correlation with the emergency is low, and the user holding the UE is less likely to be infected by the disease.
  • the NWDAF network element or other network elements can be Obtain UE2’s activity analysis result from NWDAF in advance. It can further perform preset processing operations for the emergency. For example, it can send indication information to UE2 to indicate the second movement trajectory of UE2 and the first movement trajectory of UE1. There is an intersection.
  • the risk analysis result of UE2 may specifically include any one or more of UE2's risk category, risk degree, and risk release time.
  • the risk category of UE2 can be used to indicate the risk category to which the user holding the UE2 belongs.
  • UE2 can be divided into larger risk categories, smaller risk categories, and non-risk categories to indicate
  • the users holding the UE2 can be divided into users with greater risk (such as the risk of infection in an epidemic monitoring scenario), users with less risk, and users without risk, etc.
  • the risk category can be represented as the first category, the second category, the third category, etc. according to the degree of risk.
  • the different categories can be divided according to the correlation between UE2 and the emergency, for example, according to the degree of activity.
  • the correlation between UE2 and emergencies indirectly reflected by the analysis result is used to classify the risk of UE2.
  • the risk analysis result when the risk analysis result indicates that the user holding UE2 belongs to the first category, it can characterize the strong correlation between UE2 and the emergency.
  • the risk analysis result indicates that the user holding UE2 belongs to the second category, it can characterize UE2 and emergency. There is a moderate correlation between events.
  • the risk analysis result indicates that the user holding UE2 belongs to the third category, it can characterize the weak correlation between UE2 and the emergency.
  • the specific implementation of the UE2 risk category is not limited to the above examples.
  • the degree of risk can be used to characterize the degree of risk associated with the emergency of the user holding the UE2. Among them, when the risk is high, it can indicate that the user is more likely to be related to an emergency. For example, in an epidemic monitoring scenario, it can indicate that the user is more likely to be infected. Correspondingly, when the risk is low, it can indicate that the user is infected. The possibility is low. In some examples, different grades, numerical values, and other identifiers may be defined to characterize the degree of risk. For example, the four levels of "high”, “medium”, "low” and “none” can be used as indicators to characterize the degree of risk. Among them, “high” means higher risk, and “no" means no risk.
  • the level of the value can be used to characterize the degree of risk. For example, a value between 0 and 100 is used to characterize the degree of risk. Also, the larger the value, the higher the degree of risk, and the smaller the value, which indicates the degree of risk. The lower.
  • the NWDAF network element can also determine the level of risk according to the value that characterizes the risk level of UE2. For example, when the value is between 70 and 100, the risk level of UE2 can be determined. The level of is "high”. When the value is between 30 and 70, it can be determined that the level of risk of UE2 is "medium”.
  • the specific implementation manners for characterizing the degree of risk are not limited in this embodiment.
  • the risk release time may refer to the time for the UE to go from the current risk level to no risk or low risk profile. For example, in an epidemic monitoring scenario, if the incubation period of the disease is 14 days, the risk release time of UE2 that has contact with UE1 may be the 15th day from the date of contact.
  • the user holding UE1 is a confirmed user
  • the user holding UE2 who has contact with the confirmed user if there is no sign of disease on the 15th day after 14 days of the incubation period of the disease, it can be considered that the user is not There is a risk of disease (that is, the user is not infected), so the 15th day (or other time after the 15th day) after the contact between UE2 and UE1 can be used as the risk release time of UE2.
  • the information analysis result of the second movement trajectory of UE2 may include the information analysis result of the movement trajectory of each UE2, and may also include the information analysis result of the movement trajectory of each UE2.
  • the information analysis result of the aggregate movement track obtained by the aggregation processing may also include the two analysis results at the same time.
  • the information analysis result of the aggregated movement trajectory may include the position where the first movement trajectory of UE1 overlaps the movement trajectory of each UE2, and the average of the overlap duration between the first movement trajectory of UE1 and the same position in the movement trajectory of each UE2. Any one or more of the value, the union of the positions in the movement trajectories of each UE2, or the union of the movement trajectories.
  • the activity analysis result of UE2 may include the activity analysis result of each UE2, and may also include the aggregation activity analysis result obtained by performing aggregation processing according to the activity analysis result of each UE2.
  • the aggregate activity analysis result may include: the average activity analysis result of multiple UE2 or the activity variance analysis result of multiple UE2.
  • the average activity analysis result of multiple UE2 may be the average value of the activity value corresponding to each UE2, and the activity variance analysis result of multiple UE2 may be each The variance of the activity value corresponding to UE2; when the activity of each UE2 is expressed as a level, it can be weighted in proportion to each level corresponding to different UE2 to obtain a weighted value, and perform cosine classification processing on the weighted value, The level indicated by the obtained cosine classification result is used as the average activity analysis result of the multiple UE2, and the activity variance analysis result of the multiple UE2 may be the variance corresponding to the activity level corresponding to each UE2.
  • the risk analysis result of UE2 may include the risk analysis result of each UE2, or may include the aggregated risk analysis result obtained by performing aggregation processing according to the risk analysis result of each UE2. Of course, it can also be Both analysis results are included.
  • the aggregated risk analysis result may include: the average risk analysis result of multiple UE2 or the risk variance analysis result of multiple UE2.
  • the average risk level analysis result is similar to the average activity analysis result.
  • the average risk level analysis result of multiple UE2s can be the average value of the risk level values corresponding to each UE2, and
  • the variance analysis result of the risk degree of multiple UE2 can be the variance of the risk degree value corresponding to each UE2; when the risk degree of each UE2 is expressed as a level, it can be calculated by weighting the various levels corresponding to different UE2 in proportion to obtain the weight The weighted value is subjected to cosine classification processing, and the level indicated by the obtained cosine classification result is used as the average risk degree analysis result of multiple UE2, and the risk degree variance analysis result of multiple UE2 may be the risk corresponding to each UE2 The variance of the degree level.
  • the analysis result determined by the NWDAF network element may also include the information analysis result of the third movement trajectory, where the third movement trajectory includes at least one of the overlapping trajectories between the first movement trajectory and the second movement trajectory.
  • the information analysis result of the third movement track may include any one or more of the following information:
  • Time information (for example, it can be the start time, end time, and duration of the entire third movement track; it can also be the start time, end time, duration, etc. of each position in the third movement track), the third movement track
  • the UE2 corresponding to the information of the third movement track refers to the UE whose movement track includes the third movement track.
  • the UE when the first movement trajectory of UE1 is cell 1 ⁇ cell 2 ⁇ cell 3, and the third movement trajectory is cell 2 ⁇ cell3, if the movement trajectory of the UE is cell 2 ⁇ cell3 ⁇ cell4, the UE can be used as The information of the third movement trajectory corresponds to UE2, and if the movement trajectory of the UE is cell 1 ⁇ cell 2 ⁇ cell 4, the UE may not be regarded as the UE2 corresponding to the information of the third movement trajectory.
  • the information analysis result of the third movement trajectory is similar to the information analysis result of the second movement trajectory of UE2, except that the third movement trajectory is all or part of the second movement trajectory, and the The movement trajectory overlaps the first movement trajectory.
  • the relevant description of the foregoing information analysis result of the second movement trajectory which will not be repeated here.
  • the activity analysis result of UE2 corresponding to the information of the third movement track may include the activity of each UE2 corresponding to the information of the third movement track.
  • the aggregated activity analysis results of multiple UE2s corresponding to the third movement track information are similar to the aforementioned aggregated activity analysis results of multiple UE2s, except that the third movement track is all or part of the second movement track. Trajectory, and the movement trajectory overlaps the first movement trajectory.
  • the above-mentioned related descriptions which will not be repeated here.
  • the risk analysis result of UE2 corresponding to the third movement trajectory information may include the risk analysis result of each UE2 corresponding to the third movement trajectory information , And/or, aggregated risk analysis results obtained by performing aggregation processing on the risk analysis results of multiple UE2 corresponding to the information of the third movement trajectory.
  • the aggregated risk analysis results of multiple UE2s corresponding to the third movement trajectory information are similar to the aforementioned aggregated risk analysis results of multiple UE2s, except that the third movement trajectory is all or part of the second movement trajectory. And the movement trajectory overlaps with the first movement trajectory.
  • the above-mentioned related descriptions which will not be repeated here.
  • the analysis result generated by the NWDAF network element may include not only related information of UE2 (such as the aforementioned identification information, quantity, etc.), but also related information of UE1.
  • the relevant information of the UE1 may include, for example, any one or more of the information analysis result of the first movement trajectory of the UE1, the activity analysis result of the UE1, and the risk analysis result of the UE1.
  • the NWDAF network element can also refer to the above process to determine the relevant information of the third-generation UE based on the information of the second movement track of UE2 (such as the first The identification information, quantity, information analysis results of movement trajectory, activity analysis results, risk analysis results of the third-generation UEs, etc.), the relevant information of the fourth-generation UEs to the relevant information of the target-level UEs, etc.
  • the analysis result generated by the NWDAF network element may also include the relevant information of the third-generation UE to the relevant information of the UE of the target level.
  • the relevant information of the UE of the latter level can be determined based on the relevant information of the UE of the previous level.
  • the specific determination method is similar to the above-mentioned implementation of determining the identification information, quantity and other relevant information of UE2.
  • the analysis result generated by the NWDAF network element may include the content shown in Table 3.
  • the left column in Table 3 is the information content included in the analysis results
  • the right column in the table is the corresponding interpretation of the information content on the left.
  • the NWDAF network element sends a response message to the AF network element or the NF network element, where the response message includes at least the analysis result.
  • the NWDAF network element may generate a response message containing the analysis result, and send the response message to the AF network element or the NF network element.
  • the response message may also include an analysis type identifier to indicate which analysis type the corresponding content in the analysis result corresponds to.
  • the response message may include analysis type identifier 1 to identify activity.
  • the analysis result includes the analysis type identification 2 used to identify the risk analysis result, etc.; it may also include the first indication area information and/or the first designated time information to indicate that the analysis result is the analysis result corresponding to the first indication area and /Or the analysis result corresponding to the first designated time.
  • the NWDAF network element may feed back a response message to the third-party AF network element through the NEF network element.
  • the NEF network element may also map and convert the internal information contained in the response message that is not recognizable by the AF network element into external information that the AF network element can recognize, so as to facilitate the information identification of the AF network element.
  • the response message may include network location information, which may be specifically expressed as a cell, tracking area, etc., and the NEF network element can map the network location information to the geographic location information that can be identified by the AF network element, such as latitude and longitude or Administrative area, etc.
  • the response message may contain network internal identification information, such as SUPI as the UE2 identification information, and the NEF network element can map the network internal identification information to the network external identification that can be recognized by the AF network element, such as UE2 identification information GPSI or application user ID, etc.
  • network internal identification information such as SUPI as the UE2 identification information
  • the NEF network element can map the network internal identification information to the network external identification that can be recognized by the AF network element, such as UE2 identification information GPSI or application user ID, etc.
  • the identification information of UE2, the number of UE2, the information analysis result of the second movement trajectory of UE2, the activity analysis result of UE2, the risk analysis result of UE2, the information analysis result of the third movement trajectory, and other correlation levels The relevant information of the UE can be fed back to the AF network element or the NF network element along with the response message as the analysis result. In other embodiments, part of the information in the above information can also be fed back separately.
  • the analysis result fed back by the NWDAF network element may only include the identification and quantity of UE2. Then, the NWDAF network element may separately feed back the information analysis result of the second movement trajectory of UE2, the activity analysis result of UE2, and the risk analysis result of UE2.
  • One or more of the information analysis result of the third movement trajectory and the related information of UEs of other association levels One or more of the information analysis result of the third movement trajectory and the related information of UEs of other association levels.
  • S308 The AF network element or the NF network element executes corresponding processing operations according to the analysis result in the response message.
  • the AF network element or the NF network element parses the analysis result from the received response message, it can determine a corresponding processing strategy based on the analysis result to execute the processing operation corresponding to the processing strategy. For example, in an epidemic monitoring scenario, when the analysis result includes the identification of UE2 and the result of UE2's activity analysis, if the result of UE2's activity analysis is "high", it indicates that the user holding the UE2 is more likely If sexually infected, the AF network element or NF network element can send corresponding warning information to UE2 according to the identifier of UE2 to inform the user to quarantine in time, or determine the user holding the UE2 as a suspected infected person, and Notify the staff of epidemic prevention and control to take corresponding prevention and control measures such as isolation and disinfection of the user.
  • the analysis result includes the identification of UE2 and the result of UE2's activity analysis
  • the AF network element or NF network element can send corresponding warning information to UE2 according to the identifie
  • the AF network element or the NF network element may determine the key prevention and control area according to the information of the second movement track of the UE2 in the analysis result.
  • the analysis result includes the information analysis result of the third movement trajectory
  • the AF network element or the NF network element may send a prompt to all UE2 corresponding to the information of the third movement trajectory to notify the third movement trajectory. The degree of danger, etc.
  • the request message sent by the AF network element or the NF network element to the NWDAF network element contains the identification information of the UE1.
  • the AF network element or the NF network element may also be sent to the NWDAF network element.
  • a request message that contains information about the movement track is referred to FIG. 4, FIG. 4 shows a schematic diagram of signaling interaction of another communication method in an embodiment of the present application. The method may specifically include:
  • the AF network element or the NF network element sends a request message to the NWDAF network element.
  • the request message carries the information of the first movement track, the identification information of the analysis type, the determination condition, the correlation level information, the first designated area information, the first Specify time information.
  • the request message sent by the AF network element or the NF network element may carry the information of the first movement track.
  • the NWDAF network element does not need to obtain the information of the first movement trajectory through the identification of UE1.
  • the first movement trajectory is specifically the movement trajectory of UE1, it is not necessary to determine the information of the first movement trajectory through the identification of UE1, thereby protecting users. Privacy.
  • the information of the first movement track in this embodiment is not limited to the information of the movement track of a certain UE or some UEs, and may also be the information of any designated movement track.
  • the analysis type identification information, the determination condition, the association level information, the first designated area information, and the first designated time information carried in the request message are similar to the implementation of step S301 in the foregoing method embodiment. You can refer to the foregoing related points. The description of, I won’t repeat it here.
  • the NWDAF network element obtains location-related information of multiple UEs from the AF network element and/or the NF network element.
  • the NWDAF network element can send a request for obtaining location-related information of multiple UEs to network elements such as AF network element, AMF network element, RAN network element, OAM network element, GMLC network element, LMF network element, etc., to request These network elements feed back location-related information of multiple UEs to the NWDAF network element.
  • the acquired location-related information of multiple UEs may include information about the location of each UE, the time when the UE enters each location, the time when the UE leaves the location, and the length of time the UE is located at the location, etc.
  • the location-related information of each UE is similar to the location-related information of UE1 obtained in the foregoing method embodiment, and will not be repeated here.
  • the location related information of each UE acquired by the NWDAF network element may specifically be located in the first designated area Location-related information of the UE1 within the network, and/or location-related information of the UE accessing the network within the first specified time.
  • the NWDAF network element determines the information of the movement trajectory of each UE according to the location-related information of each UE, and the information of the movement trajectory of each UE includes the information of the corresponding position and the information of the time corresponding to the position.
  • the NWDAF network element determines the UE corresponding to each movement trajectory that has an intersection with the first movement trajectory according to the determination condition in the request message.
  • the NWDAF network element determines the analysis result.
  • the analysis result includes at least the determined identification information of the UE, the number of UEs, the information analysis result of the movement trajectory of the UE, the activity analysis result of the UE, the risk analysis result of the UE, and the first Three information analysis results of the movement trajectory, where the third movement trajectory includes at least a part of the overlapping trajectory between the first movement trajectory and the determined movement trajectory of the UE.
  • the NWDAF network element sends a response message to the AF network element or the NF network element, where the response message includes at least the analysis result.
  • step S402 to step S408 is similar to the specific implementation manner of step S302 to step S308 in the foregoing method embodiment, which is not repeated in this embodiment, and reference may be made to the foregoing related description.
  • the information of the first movement track includes the information of the time corresponding to the first position of the information of the first position, and in other possible implementation manners, the AF network element or the NF network element
  • the information of the first movement track sent by the NWDAF network element may also include only the information of the first position.
  • the specific implementation process for the AF network element or the NF network element to obtain the analysis result is similar to the specific implementation process for the AF network element or the NF network element (that is, the first network element) to obtain the analysis result in the foregoing embodiments, and the difference is only It is that when the NWDAF network element determines whether there is an intersection between the first movement trajectory and the second movement trajectory, it can specifically determine whether there is the same position between the first movement trajectory and the second movement trajectory. There is an intersection between the movement trajectory and the second movement trajectory, and if not, it is determined that there is no intersection between the first movement trajectory and the second movement trajectory.
  • the NWDAF network element can further determine whether the number of the same location is greater than the preset number, if so, it is determined that the first movement trajectory and the second movement trajectory overlap, and if not, then It is determined that there is no intersection between the first movement trajectory and the second movement trajectory.
  • the NWDAF network element determines that the first movement trajectory and the second movement trajectory have the same position, and further determines whether the same position is continuous in the first movement trajectory and/or the second movement trajectory. There is an intersection between the movement trajectory and the second movement trajectory, and if not, it is determined that there is no intersection between the first movement trajectory and/or the second movement trajectory.
  • the NWDAF network element can also be analyzed for two specific UEs (ie UE1 and UE2) or two specific movement trajectories to determine these two Whether there is contact between the UE or the two moving tracks, the specific implementation for determining whether there is contact between the two UEs is similar to the specific implementation for determining whether there is contact between UE1 and UE2, the only difference is that the NWDAF network element receives
  • the received request message may include the identification information of UE1 and the identification information of UE2.
  • the NWDAF network element may determine the first movement according to the identification information of UE1 in the request message.
  • a movement track information according to the identification information of the UE2 in the request message to determine the second movement track information; or, the request message may also include the first movement track information or the second movement track information; or, the request The message can include the identification information of one of the UEs (such as UE1) and the information of a movement track (such as the movement track information of UE2). In this way, the NWDAF network element can parse the information of one of the movement tracks from the request message.
  • the corresponding movement track information (such as the movement track information of UE1) according to the identification information of the UE in the request message, so that the information of the two movement tracks can be obtained.
  • the first (or second) designated area information and/or the first (or Second) Specify the time information to define the relevant description of the information of the movement trajectory.
  • the analysis result fed back by the NWDAF network element may include the indication information and/or the information analysis result of the movement trajectory of one of the UEs, such as the information analysis result of the second movement trajectory corresponding to UE2.
  • the indication information may be used to indicate that there is an intersection of two moving tracks;
  • the information analysis result of the moving track of one UE may include any one or more of the following information: the position included in the moving track information of the UE Information, information about the time corresponding to the position, information about the same position in the two movement tracks, and information about the overlap time corresponding to the same position in the two movement tracks.
  • FIG. 5 shows a schematic structural diagram of a communication device in an embodiment of the present application.
  • the device 500 can be applied to a data analysis network element and can execute the method steps performed by the data analysis network element in the foregoing method embodiment.
  • the device 500 may include: a receiving unit 501, a processing unit 502, and a sending unit 503.
  • the device 500 may also include a storage unit 504.
  • the receiving unit 501 is configured to receive information about a first movement track, where the information about the first movement track includes information about a first position and information about a time corresponding to the first position;
  • the processing unit 502 is configured to determine that there is an intersection between the second movement trajectory of the second terminal and the first movement trajectory
  • the sending unit 503 is configured to send an analysis result to the first network element, where the analysis result includes any one or more of the following information: identification information of the second terminal, the number of the second terminal, and the first network element. 2.
  • the storage unit 504 in the device 500 can be used to store corresponding data, for example, can store the above-mentioned information of the first movement track, the second movement track of the second terminal, and the analysis result.
  • the storage unit 504 may also store the data received by the receiving unit 501 and the data processed by the processing unit 502 in the following possible implementations, and the sending unit 503 may send part or all of the data in the storage unit 504 .
  • the receiving unit 501 is further configured to receive a request message from the first network element, and the request message is used to request the analysis result from the data analysis network element.
  • the request message includes the information of the first movement track, and/or the identification information of the first terminal corresponding to the information of the first movement track.
  • the request message further includes first designated area information and/or first designated time information
  • the sending unit 503 is specifically configured to send the analysis result corresponding to the first designated area information and/or the first designated time information to the first network element.
  • the request message further includes second designated area information and/or second designated time information
  • the receiving unit 501 is specifically configured to obtain the information of the first movement track according to the identification information of the first terminal, the second designated area information and/or the second designated time information.
  • the information of the second movement track includes information of the second position and information of the time corresponding to the second position;
  • the processing unit 502 is specifically configured to determine that the second movement trajectory and the first movement trajectory have the same position
  • the information of the second movement track includes information of the second position and information of the time corresponding to the second position;
  • the processing unit 502 is specifically configured to determine that at least one of the second movement trajectory and the first movement trajectory has at least one identical position and that the same position is between the second movement trajectory and the first movement trajectory
  • the time interval of the corresponding start time in is less than the preset time interval.
  • the same position includes a plurality of positions, and the plurality of positions are continuous in the first movement trajectory and/or the second movement trajectory.
  • the overlap duration corresponding to the same position in the second movement trajectory and the first movement trajectory is greater than a preset duration.
  • the corresponding overlapping duration of the same position in the second movement track and the first movement track is greater than a preset duration, including:
  • At least one location in the same location corresponds to an overlap duration greater than the preset duration
  • the same positions include consecutive identical positions, and the overlapping duration corresponding to at least one position in the consecutive identical positions is greater than the preset duration;
  • the same location includes multiple locations, and the sum of the overlapping durations corresponding to each location is greater than the preset duration;
  • the same positions include consecutive identical positions, and the sum of overlapping durations corresponding to the consecutive identical positions is greater than the preset duration.
  • the receiving unit 501 is further configured to obtain a determination condition from the first network element
  • the processing unit 502 is specifically configured to determine that there is an intersection between the second movement trajectory and the first movement trajectory according to the determination condition.
  • the information analysis result of the third movement track includes any one or more of the following information:
  • the information of the third movement trajectory includes time information corresponding to the position, the activity analysis result of the second terminal corresponding to the information of the third movement trajectory, and all information corresponding to the information of the third movement trajectory. Describe the risk analysis result of the second terminal.
  • the information analysis result of the second movement track includes any one or more of the following information:
  • the second terminal includes multiple terminals;
  • the information analysis result of the second movement track includes the information analysis result of the aggregate movement track of the multiple terminals, and/or, Information analysis result of the movement trajectory of each terminal among the multiple terminals;
  • the activity analysis result of the second terminal includes the aggregate activity analysis result of the multiple terminals, and/or the activity analysis result of each terminal in the multiple terminals;
  • the risk analysis result of the second terminal includes the aggregated risk analysis result of the multiple terminals, and/or the risk analysis result of each terminal of the multiple terminals.
  • the request message further includes association level information, where the association level information is used to indicate the target level of the terminal associated with the first movement track, where the terminal of the adjacent level There is an intersection of movement trajectories, and the level of the first terminal is the initial level;
  • the analysis result also includes any one or more of the following information: identification information of the target-level terminal, the number of the target-level terminal, and The information analysis result of the movement trajectory of the target-level terminal, the activity analysis result of the target-level terminal, and the risk analysis result of the target-level terminal; Information on the movement trajectory of the previous level terminal has an intersection.
  • the receiving unit is specifically configured to obtain the information of the first movement track according to the identification information of the first terminal.
  • the number of the same positions is greater than a preset number.
  • the activity analysis result of the second terminal includes any one or more of the following information:
  • a numerical value used to indicate the level of activity of the second terminal a level used to indicate the level of activity of the second terminal, the number of re-registrations of the second terminal in the network, and the number of re-registrations of the second terminal in the network.
  • the number of location changes, the number of times the second terminal enters the preset location, the number of services initiated when the second terminal is at the preset location, and the number of services initiated when the second terminal is at the preset location.
  • the risk analysis result of the second terminal includes any one or more of the following information:
  • the risk category of the second terminal the risk level of the second terminal, and the risk release time of the second terminal.
  • the receiving unit 501, the processing unit 502, the sending unit 503, and the storage unit 504 in the apparatus shown in FIG. 5 may also have the following functions:
  • the receiving unit 501 is used for the information of the first movement track, where the information of the first movement track includes position information;
  • the processing unit 502 is configured to determine that there is an intersection between the second movement trajectory of the second terminal and the first movement trajectory
  • the sending unit 503 is configured to send an analysis result to the first network element, where the analysis result includes any one or more of the following information:
  • the identification information of the second terminal, the number of the second terminal, the information analysis result of the second movement track, the activity analysis result of the second terminal, the risk analysis result of the second terminal, the first Three information analysis results of the movement trajectory, the third movement trajectory includes at least a part of the overlapping trajectory between the first movement trajectory and the second movement trajectory.
  • the storage unit 504 in the device 500 can be used to store corresponding data, for example, can store the information of the first movement track, the second movement track of the second terminal, and the analysis result mentioned above.
  • the storage unit 504 may also store the data received by the receiving unit 501 and the data processed by the processing unit 502 in the following possible implementations, and the sending unit 503 may send part or all of the data in the storage unit 504 .
  • the processing unit 502 is specifically configured to determine that the second movement trajectory and the first movement trajectory have the same position.
  • the receiving unit 501 is further configured to receive a request message from the first network element, and the request message is used to request the analysis result from the data analysis network element.
  • the request message includes designated time information
  • the processing unit 502 is specifically configured to determine, according to the specified time information, that there is an intersection between the second movement trajectory and the first movement trajectory.
  • the processing unit is specifically configured to determine that the second movement trajectory within the time corresponding to the specified time information and the first movement trajectory have the same position.
  • the information analysis result of the third movement track includes any one or more of the following information:
  • the information of the third movement trajectory includes time information corresponding to the position, the activity analysis result of the second terminal corresponding to the information of the third movement trajectory, and all information corresponding to the information of the third movement trajectory. Describe the risk analysis result of the second terminal.
  • FIG. 6 shows a schematic structural diagram of a communication device in an embodiment of the present application.
  • the device 600 can be applied to a first network element and can execute the method steps performed by the first network element in the foregoing method embodiment.
  • the device 600 may include: a sending unit 601, a receiving unit 602, and a storage unit 603.
  • the device 600 may also include a processing unit 604.
  • the sending unit 601 is configured to send a request message to the data analysis network element, the request message including the information of the first movement track, and/or the identification information of the first terminal corresponding to the information of the first movement track, so The request message is used to request the analysis result corresponding to the second terminal from the data analysis network element, and the second movement trajectory of the second terminal and the first movement trajectory overlap;
  • the receiving unit 602 is configured to receive an analysis result from the data analysis network element, where the analysis result includes any one or more of the following information:
  • the identification information of the second terminal, the number of the second terminal, the information analysis result of the second movement track, the activity analysis result of the second terminal, the risk analysis result of the second terminal, the first Three information analysis results of the movement trajectory, the third movement trajectory includes at least a part of the overlapping trajectory between the first movement trajectory and the second movement trajectory.
  • the storage unit 603 in the device 600 can be used to store corresponding data, for example, can store the above-mentioned request message and analysis result.
  • the storage unit 603 may also store the data received by the receiving unit 601 in the following various possible implementation manners, and the data obtained by the processing unit that the apparatus 600 may also include when performing corresponding processing, and the sending unit 601 may send part or all of the data in the storage unit 603.
  • the analysis result includes identification information of the second terminal
  • the sending unit 601 is further configured to send instruction information to the second terminal according to the identification information of the second terminal
  • the indication information is used to indicate that there is an intersection between the second movement track and the first movement track.
  • the analysis result includes an information analysis result of the third movement track
  • the processing unit 604 is configured to determine a processing strategy corresponding to the information of the third movement trajectory according to the information analysis result of the third movement trajectory.
  • the request message further includes a judgment condition, and the judgment condition is used to determine that there is an intersection between the second movement trajectory and the first movement trajectory.
  • the determination condition includes:
  • the second movement trajectory and the first movement trajectory have the same position
  • the second movement track and the first movement track have the same position, and the time corresponding to the same position at least partially overlaps.
  • the determination condition includes:
  • the same position includes a plurality of positions, and the plurality of positions are continuous in the first movement trajectory and/or the second movement trajectory.
  • the overlap duration corresponding to the same position in the second movement trajectory and the first movement trajectory is greater than a preset duration.
  • the corresponding overlapping duration of the same position in the second movement trajectory and the first movement trajectory is greater than a preset duration, including:
  • At least one location in the same location corresponds to an overlap duration greater than the preset duration
  • the same positions include consecutive identical positions, and the overlapping duration corresponding to at least one position in the consecutive identical positions is greater than the preset duration;
  • the same location includes multiple locations, and the sum of the overlapping durations corresponding to each location is greater than the preset duration;
  • the same positions include consecutive identical positions, and the sum of overlapping durations corresponding to the consecutive identical positions is greater than the preset duration.
  • the request message includes the association level information, where the association level information is used to indicate the target level of the terminal associated with the first movement track, where the adjacent level The movement trajectories of the terminals have intersections, and the level of the first terminal is the initial level;
  • the analysis result also includes any one or more of the following information:
  • Identification information of the target-level terminal the number of the target-level terminal, the information analysis result of the movement trajectory of the target-level terminal, the activity analysis result of the target-level terminal, and the risk analysis result of the target-level terminal ; There is an intersection between the movement trajectory of the target level terminal and the movement trajectory of the previous level terminal of the target level.
  • the request message includes the first designated area information and/or the first designated time information
  • the first network element receives the analysis result from the data analysis network element, including:
  • the first network element receives the analysis result corresponding to the first designated area information and/or the first designated time information from the data analysis network element.
  • the processing unit 604 is further configured to determine a processing strategy corresponding to the first designated area information and/or the first designated time information.
  • the request message further includes second designated area information and/or second designated time information
  • the information of the first movement track is the first terminal corresponding to the identification information of the first terminal.
  • the information analysis result of the second movement track includes any one or more of the following information:
  • Information about the second position, information about the time corresponding to the second position, information about the same position in the first movement trajectory and the second movement trajectory, the first movement trajectory and the second movement trajectory The overlap time information corresponding to the same position in the.
  • the activity analysis result of the second terminal includes any one or more of the following information:
  • a numerical value used to indicate the level of activity of the second terminal a level used to indicate the level of activity of the second terminal, the number of re-registrations of the second terminal in the network, and the number of re-registrations of the second terminal in the network.
  • the number of location changes, the number of times the second terminal enters the preset location, the number of services initiated when the second terminal is at the preset location, and the number of services initiated when the second terminal is at the preset location.
  • the risk analysis result of the second terminal includes any one or more of the following information: the risk category, risk degree, and risk release time of the second terminal.
  • the second terminal includes multiple terminals
  • the information analysis result of the second movement trajectory includes the information analysis result of the aggregate movement trajectory of the multiple terminals, and/or the information analysis result of the movement trajectory of each terminal of the multiple terminals;
  • the activity analysis result of the second terminal includes the aggregate activity analysis result of the multiple terminals, and/or the activity analysis result of each terminal in the multiple terminals;
  • the risk analysis result of the second terminal includes the aggregated risk analysis result of the multiple terminals, and/or the risk analysis result of each terminal of the multiple terminals.
  • the processing unit, the receiving unit, the sending unit, and the storage unit may be physically separated units, or they may be integrated into one or more physical units. limited.
  • the receiving unit and the sending unit are used to implement content interaction between the device and other units or network elements.
  • the sending unit may be a sending circuit or a transmitter.
  • the receiving unit may be a receiving circuit or a receiver.
  • the sending unit and the receiving unit may also be the communication unit of the communication device.
  • the sending unit and the receiving unit may also be a communication interface or a transceiver circuit of the processing unit.
  • the sending unit and the receiving unit may be a transceiver chip.
  • the communication device may also include multiple transmitting units and multiple receiving units.
  • the sending unit and the receiving unit may also be subunits of one or more transceiver units.
  • the processing unit is used to implement data processing by the communication device.
  • the processing unit can be a processing circuit or a processor.
  • the communication device may also include multiple processing units or the processing unit may include multiple sub-data processing units.
  • the processor may be a single-CPU (single-CPU) processor or a multi-core (multi-CPU) processor.
  • the storage unit may be a unit independent of the processing unit, or may be a storage unit in the processing unit, which is not limited herein.
  • the communication device may also include a plurality of storage units or the storage unit may include a plurality of sub-storage units.
  • the embodiment of the present application also provides a communication device.
  • the communication transfer device can be applied to the first network element or the data analysis network element mentioned in the foregoing method embodiment.
  • the communication device may include a processor and a memory, and the processor is coupled with the memory;
  • the memory is used to store computer programs or instructions
  • the processor is configured to execute the computer program or instruction to cause the communication method executed by the first network element in the foregoing method embodiment to be executed, or to cause the communication method executed by the data analysis network element in the foregoing method embodiment to be executed .
  • the processor executing the computer program or instruction may also cause the communication method executed by the core network element in the foregoing method embodiment to be executed.
  • FIG. 7 is a schematic diagram of the hardware structure of a communication device, which may be the first network element or the data analysis network element in the embodiment of the present application.
  • the communication device includes at least one processor 71 (as shown in FIG. 7 may also include a processor 75, etc.), at least one memory 72, and at least one communication interface 73.
  • the processor 71, the memory 72, and the communication interface 73 are connected, for example, connected through a communication line 74.
  • the processor 71 may include a CPU, as shown in FIG.
  • the processor 71 may also include multiple CPUs. As shown in FIG. 7, the processor 71 may include CPU0 and CPU1. Of course, the processor 71 may also include more than three (including three) CPUs.
  • the communication device further includes other processors, as shown in FIG. 7 may also include a processor 75, and other processors may also include one or more CPUs.
  • the connection may include various interfaces, transmission lines or buses, etc., which is not limited in this embodiment.
  • the communication interface 73 is used to connect the communication device to other communication devices through a communication link.
  • the communication interface 73 may be an S1 interface, or an X2, Xn interface, and so on.
  • the processor 71 shown in FIG. 7 can specifically complete the actions of the data analysis network element or the first network element in the above method, the memory 72 can complete the actions stored in the above method, and the communication interface 73 can complete the communication in the above method.
  • the interaction between the device and other network elements is illustrated below by taking the communication device shown in FIG. 7 applied to a data analysis network element as an example:
  • the processor 71 may determine that there is an intersection between the second movement trajectory of the second terminal and the first movement trajectory.
  • the communication device may use the communication interface 73 to receive the information of the first movement track, and send the analysis result to the first network element.
  • the memory 72 may store information of the first movement track, analysis results, and the like. For the information of the first movement trajectory and the specific content in the analysis result, reference may be made to relevant introductions in other embodiments.
  • the processor in the embodiment of the present application may include, but is not limited to, at least one of the following: a central processing unit (CPU), a microprocessor, a digital signal processor (DSP), and a microcontroller
  • CPU central processing unit
  • DSP digital signal processor
  • MCU microcontroller unit
  • each computing device may include one or more cores for executing software instructions for calculation or processing.
  • the processor can be a single semiconductor chip, or it can be integrated with other circuits to form a semiconductor chip. For example, it can form an SoC (on-chip) with other circuits (such as codec circuits, hardware acceleration circuits, or various bus and interface circuits).
  • the processor may further include necessary hardware accelerators, such as field programmable gate array (FPGA) and PLD (programmable logic device) , Or a logic circuit that implements dedicated logic operations.
  • FPGA field programmable gate array
  • PLD programmable logic device
  • the memory in the embodiment of the present application may include at least one of the following types: read-only memory (ROM) or other types of static storage devices that can store static information and instructions, random access memory , RAM) or other types of dynamic storage devices that can store information and instructions, and may also be electrically erasable programmable read-only memory (EEPROM).
  • ROM read-only memory
  • RAM random access memory
  • EEPROM electrically erasable programmable read-only memory
  • the memory can also be a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compact discs, laser discs, optical discs, digital universal discs, Blu-ray discs, etc.) , Disk storage media or other magnetic storage devices, or any other media that can be used to carry or store desired program codes in the form of instructions or data structures and that can be accessed by a computer, but are not limited thereto.
  • CD-ROM compact disc read-only memory
  • optical disc storage including compact discs, laser discs, optical discs, digital universal discs, Blu-ray discs, etc.
  • Disk storage media or other magnetic storage devices or any other media that can be used to carry or store desired program codes in the form of instructions or data structures and that can be accessed by a computer, but are not limited thereto.
  • the memory 72 may exist independently and is connected to the processor 71 (and the processor 75).
  • the memory 72 may be integrated with the processor 71 (and the processor 75), for example, integrated in one chip.
  • the memory 72 can store program codes for executing the technical solutions of the embodiments of the present application, and is controlled by the processor 71 to execute, and various types of computer program codes that are executed can also be regarded as drivers of the processor 71.
  • the processor 71 is configured to execute computer program codes stored in the memory 72, so as to implement the technical solutions in the embodiments of the present application.
  • the instructions stored in the memory for execution by the processor may be implemented in the form of a computer program product.
  • the computer program product may be written in the memory in advance, or it may be downloaded and installed in the memory in the form of software.
  • the computer program product includes one or more computer instructions.
  • the computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.
  • Computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium.
  • computer instructions may be transmitted from a website, computer, server, or data center through a cable (such as Coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, microwave, etc.) to transmit to another website site, computer, server or data center.
  • a cable such as Coaxial cable, optical fiber, digital subscriber line (DSL)
  • wireless such as infrared, wireless, microwave, etc.
  • the computer-readable storage medium may be any available medium that can be stored by a computer or a data storage device such as a server or a data center integrated with one or more available media.
  • the usable medium may be a magnetic medium (for example, a floppy disk, a hard disk, and a magnetic tape), an optical medium (for example, a DVD), or a semiconductor medium (for example, a solid state disk, SSD).
  • FIG. 8 is a schematic diagram of the hardware structure of a chip 80 provided by an embodiment of the present application.
  • the chip 80 includes one or more (including two) processors 810 and a communication interface 830.
  • the processor 810 may be coupled to the communication interface 830.
  • the connection may include various interfaces, transmission lines, or buses, etc., which is not limited in this embodiment.
  • the communication interface 830 is used to connect the chip 80 with other communication devices through a communication link.
  • the chip 80 further includes a memory 840, and the memory 840 may be connected to the processor 810 and the communication interface 830, for example, through a communication line 820.
  • the memory 840 may include a read-only memory and a random access memory, and provides operation instructions and data to the processor 810.
  • a part of the memory 840 may also include a non-volatile random access memory (NVRAM).
  • NVRAM non-volatile random access memory
  • the memory 840 stores the following elements, execution modules or data structures, or their subsets, or their extended sets.
  • the corresponding operation is executed by calling the operation instruction stored in the memory 840 (the operation instruction may be stored in the operating system).
  • the processor 810 shown in FIG. 8 can specifically complete the actions of the data analysis network element or the first network element in the above method
  • the memory 840 can complete the actions stored in the above method
  • the communication interface 830 can complete the above method
  • the following is an example of using the chip shown in FIG. 8 to be applied to a data analysis network element:
  • the processor 810 may determine that there is an intersection between the second movement trajectory of the second terminal and the first movement trajectory.
  • the communication device may use the communication interface 830 to receive the information of the first movement track, and send the analysis result to the first network element.
  • the memory 820 may store information of the first movement track, analysis results, and the like. For the information of the first movement trajectory and the specific content in the analysis result, reference may be made to relevant introductions in other embodiments.
  • the embodiment of the present application also provides a computer-readable storage medium.
  • the methods described in the foregoing embodiments may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. If implemented in software, the functions can be stored on a computer-readable medium or transmitted on a computer-readable medium as one or more instructions or codes.
  • Computer-readable media may include computer storage media and communication media, and may also include any media that can transfer a computer program from one place to another.
  • the storage medium may be any target medium that can be accessed by a computer.
  • the computer-readable medium may include RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that is targeted to carry or use instructions or data structures.
  • the required program code is stored in the form of and can be accessed by the computer.
  • any connection is properly termed a computer-readable medium. For example, if you use coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL) or wireless technology (such as infrared, radio and microwave) to transmit software from a website, server or other remote source, then coaxial cable, fiber optic cable , Twisted pair, DSL or wireless technologies such as infrared, radio and microwave are included in the definition of the medium.
  • DSL digital subscriber line
  • wireless technology such as infrared, radio and microwave
  • Magnetic disks and optical disks as used herein include compact disks (CDs), laser disks, optical disks, digital versatile disks (DVDs), floppy disks and blu-ray disks, in which disks usually reproduce data magnetically, and optical disks use lasers to optically reproduce data. Combinations of the above should also be included in the scope of computer-readable media.
  • the embodiment of the present application also provides a computer program product.
  • the methods described in the foregoing embodiments may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. If it is implemented in software, it can be fully or partially implemented in the form of a computer program product.
  • the computer program product includes one or more computer instructions. When the above computer program instructions are loaded and executed on the computer, the procedures or functions described in the above method embodiments are generated in whole or in part.
  • the above-mentioned computer may be a general-purpose computer, a special-purpose computer, a computer network, a base station, a terminal, or other programmable devices.
  • At least one refers to one or more.
  • Multiple means two or more.
  • And/or describes the association relationship of the associated objects, indicating that there can be three relationships, for example, A and/or B, which can mean: A alone exists, A and B exist at the same time, and B exists alone, where A, B can be singular or plural.
  • the character “/” generally indicates that the associated objects before and after are in an “or” relationship.
  • the following at least one item (a)” or similar expressions refers to any combination of these items, including any combination of a single item (a) or a plurality of items (a).
  • a, b, or c can mean: a, b, c, ab, ac, bc, or abc, where a, b, and c can be single or multiple .
  • words such as “first” and “second” are used to distinguish the same or similar items with substantially the same function and effect. Those skilled in the art can understand that words such as “first” and “second” do not limit the quantity and order of execution, and words such as “first” and “second” do not limit the difference.

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Abstract

本申请公开了一种通信方法、装置及系统，包括：数据分析网元获取第一移动轨迹的信息，该第一移动轨迹的信息包括第一位置的信息以及该第一位置对应的时间的信息，并确定第二终端的第二移动轨迹与第一移动轨迹存在交集，以及向第一网元发送分析结果，该分析结果包括以下信息的任意一种或多种：第二终端的标识信息、数量、第二移动轨迹的信息分析结果、活跃度分析结果、风险分析结果、第三移动轨迹的信息分析结果，第三移动轨迹包括第一移动轨迹和第二移动轨迹之间重叠轨迹中的至少一部分。数据分析网元获得与第一移动轨迹存在交集的第二移动轨迹所对应的第二终端的分析结果的信息，可以提高可检测效率并降低了出错的可能性。

Description

一种通信方法、装置及系统
本申请要求于2020年4月13日递交中国专利局、申请号为202010287410.4，发明名称为“一种通信方法、装置及系统”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请涉及通信技术领域，特别是涉及一种通信方法、装置及系统。
背景技术
针对目前爆发的紧急事件，信息采集人员为了得到与紧急事件相关的用户信息，需要下线排查与紧急事件接触的相关用户的信息。例如，为了排查与紧急事件相关的用户，信息采集人员需要挨家挨户登记用户是否在某个时间某个区域内与某个区域发生的紧急事件相关。该方式中信息采集人员可以通过线下信息收集方式获取用户是否与紧急事件相关，效率较低且容易出错。
发明内容
本申请实施例提供了一种通信方法、装置及系统，以及时确定出与紧急事件相关的用户相关信息，提高检测效率并降低出错的可能性。
第一方面，本申请实施例提供了一种通信方法，包括：数据分析网元获取第一移动轨迹的信息，所述第一移动轨迹的信息包括第一位置的信息以及所述第一位置对应的时间的信息；所述数据分析网元确定第二终端的第二移动轨迹与所述第一移动轨迹存在交集；所述数据分析网元向第一网元发送分析结果，所述分析结果包括以下信息的任意一种或多种：所述第二终端的标识信息、所述第二终端的数量、所述第二移动轨迹的信息分析结果、所述第二终端的活跃度分析结果、所述第二终端的风险分析结果、第三移动轨迹的信息分析结果，所述第三移动轨迹包括所述第一移动轨迹和所述第二移动轨迹之间重叠轨迹中的至少一部分。
在该实施方式中，数据分析网元根据第一移动轨迹的信息，可以获得与第一移动轨迹存在交集的第二移动轨迹所对应的第二终端的分析结果的信息，提高了检测效率并降低了出错的可能性。
其中，第一网元可以是核心网网元，例如:AMF网元,也可是其他网元，例如:AF网元，还可以是其它数据分析网元，比如，网络中的其中一个NWDAF网元向另一个NWDAF网元请求相应的分析结果等。第一网元还可以是终端，如UE可以向数据分析网元请求分析结果等。
在一种可能的实施方式中，方法还包括：所述数据分析网元接收来自所述第一网元的请求消息，所述请求消息用于向所述数据分析网元请求所述分析结果，所述请求消息中包括所述第一移动轨迹的信息，和/或，所述第一移动轨迹的信息对应的第一终端的标识信息。在该实施方式中，第一网元可以是通过请求消息的方式，向数据分析网元请求相应的分析结果。其中，第一网元可以在请求消息中添加第一终端的标识信息，这样，数据分析网元根据该第一终端的标识信息，可以确定出第一终端对应的第一移动轨迹的信息，以便数据分析网元根据该第一移动轨迹的信息得到相应的分析结果；或者，第一网元可以将第一移动轨迹的信息直接添加至请求消息中，以便于数据分析网元可以直接从请求消息中解析出 第一移动轨迹的信息，并且，由于数据分析网元获取第一移动轨迹的信息的过程中，并不需要终端的标识信息，从而可以有效保护用户的隐私(即可以尽可能避免用户所使用终端的标识信息泄漏)，而且，也可以在一定程度上提高数据分析网元反馈分析结果的效率。
在一种可能的实施方式中，所述请求消息还包括关联层级信息，其中，所述关联层级信息用于指示与所述第一移动轨迹关联的终端的目标级别，其中，相邻级别终端的移动轨迹存在交集，所述第一终端的级别为初始级别；所述分析结果还包括以下信息的任意一种或多种：所述目标级别终端的标识信息、所述目标级别终端的数量、所述目标级别终端的移动轨迹的信息分析结果、所述目标级别终端的活跃度分析结果以及所述目标级别终端的风险分析结果；所述目标级别终端的移动轨迹的信息，与所述目标级别的前一级别终端的移动轨迹的信息存在交集。
在该实施方式中，当数据分析网元根据第一移动轨迹的信息所确定出的第二终端的级别与该目标级别不一致时，数据分析网元还可以进一步根据第二终端的第二移动轨迹的信息，确定与第三终端的移动轨迹与第一移动轨迹存在交集，从而得到第三终端对应的分析结果，而若第三终端对应的级别与该目标级别仍不一致时，则数据分析网元还可以进一步确定出下一级别的第四终端，直至所确定出的终端的级别达到目标级别，从而数据分析网元可以向第一网元反馈初始级别(即第一终端对应的级别)至目标级别的终端对应的分析结果。
在一种可能的实施方式中，所述请求消息中还包括第一指定区域信息和/或第一指定时间信息，所述数据分析网元向第一网元发送分析结果，包括：所述数据分析网元向所述第一网元发送所述第一指定区域信息和/或所述第一指定时间信息对应的分析结果。在该实施方式中，第一网元所请求的分析结果，具体可以是特定区域对应的分析结果，比如，第一网元可以是请求确定在特定区域内与第一终端存在接触的其它终端，而对于位于特定区域之外的其它终端，可以无需确定；第一网元也可以请求特定时间段对应的分析结果，比如，第一网元可以是请求在2020年4月1日至2020年4月8日这段时间内移动轨迹与第一移动轨迹存在交集的终端。
在一种可能的实施方式中，所述数据分析网元获取第一移动轨迹的信息，包括：所述数据分析网元根据所述第一终端的标识信息获取所述第一移动轨迹的信息。在该实施方式中，数据分析网元所接收到的请求消息中可以不包括第一移动轨迹的信息，而包括第一终端的标识信息，此时，数据分析网元可以根据该第一终端的标识信息，确定出该第一终端对应的第一移动轨迹的信息，比如，数据分析网元可以是根据第一终端的标识信息，向网络中的其它网元(如AMF网元、AF网元等)请求获取第一终端在不同时间段所处于位置的信息，从而数据分析网元可以按照时间顺序，生成第一终端的第一移动轨迹的信息。
在一种可能的实施方式中，所述请求消息中还包括第二指定区域信息和/或第二指定时间信息；所述数据分析网元获取第一移动轨迹的信息，包括：所述数据分析网元根据所述第一终端的标识信息以及所述第二指定区域信息和/或所述第二指定时间信息，获取所述第一移动轨迹的信息。在该实施方式中，数据分析网元在确定第一移动轨迹的信息时，可以是将第一终端在特定区域(即第二指定区域信息所指示的区域)内所产生的移动轨迹作为第一移动轨迹，或者是将第一终端在特定时间段(即第二指定时间信息所指示的时间段) 内所产生的移动轨迹作为第一移动轨迹，从而数据分析网元可以确定出特定区域和/或特定时间段对应的分析结果。
在一种可能的实施方式中，所述第二移动轨迹的信息包括第二位置的信息以及所述第二位置对应的时间的信息，所述数据分析网元确定第二终端的第二移动轨迹与所述第一移动轨迹存在交集，包括：所述数据分析网元确定所述第二移动轨迹与所述第一移动轨迹中存在相同的位置；或，所述数据分析网元确定所述第二移动轨迹与所述第一移动轨迹中存在相同的位置，且所述相同的位置对应的时间存在至少部分重叠。在该实施方式中，数据分析网元在确定第二终端时，具体可以是确定第二终端的第二移动轨迹是否与第一移动轨迹相同的位置(可以是网络位置，也可以是地理位置)，若存在，表明第二终端接触该第一移动轨迹，当第一移动轨迹具体为第一终端的第一移动轨迹时，第二终端与第一终端在该相同的位置处存在接触(即使未发生物理触碰，也可以是视为两个终端存在接触)。或者，第二终端接触该第一移动轨迹并不仅仅要求两个移动轨迹存在相同的位置，还要求第二终端位于该相同的位置的时间与第一终端对应的时间信息存在重叠，当第一移动轨迹具体为第一终端的第一移动轨迹时，第一终端与第二终端同时出现在相同的位置，此时，可以认为第一终端与第二终端存在接触。
在一种可能的实施方式中，所述相同的位置中包括多个位置，所述多个位置在所述第一移动轨迹和/或所述第二移动轨迹中是连续的。在该实施方式中，数据分析网元在确定第二终端时，不仅仅要求第二移动轨迹与第一移动轨迹存在相同的位置，还要求第二移动轨迹与第一移动轨迹之间相同的位置是连续的多个，当第一移动轨迹具体为第一终端的第一移动轨迹时，第一终端与第二终端在连续发生相同的位置变更，比如，第一终端与第二终端均连续依次经过小区1、小区2以及小区3等。
在一种可能的实施方式中，所述相同的位置的数量大于预设数量。在该实施方式中，数据分析网元在确定第二终端的过程中，还可以在上述任意一种条件的基础上，对相同的位置数量存在一定要求，具体可以是进一步要求第二终端的第二移动轨迹与第一移动轨迹之间相同的位置数量超过预设数量。
在一种可能的实施方式中，所述相同的位置在所述第二移动轨迹与所述第一移动轨迹中对应的重叠时长大于预设时长。在该实施方式中，数据分析网元在确定第二终端的过程中，还可以在上述任意一种条件的基础上，对重叠的时长具有一定的要求，当第一移动轨迹具体为第一终端的移动轨迹时，确定与第一终端存在接触的第二终端，要求第二终端与第一终端位于相同的位置的时长大于一定时长。
在一种可能的实施方式中，所述相同的位置在所述第二移动轨迹与所述第一移动轨迹中对应的重叠时长大于预设时长，包括：所述相同的位置中存在至少一个位置对应的重叠时长大于所述预设时长；或，所述相同的位置中包括连续相同的位置，且所述连续相同的位置中存在至少一个位置对应的重叠时长大于所述预设时长；或，所述相同的位置中包括多个位置且各个位置对应的重叠时长的总和大于所述预设时长；或，所述相同的位置中包括连续相同的位置且所述连续相同的位置对应的重叠时长的总和大于所述预设时长。在该实施方式中，相同的位置对应的重叠时长大于预设时长，可以是上述四种示例中的任意一种，增加了方案实现的灵活性。
在一种可能的实施方式中，所述重叠时间包括所述第二终端处于所述重叠的网络位置的重叠时长和/或重叠时间段。在该实施方式中，重叠时间具体可以是重叠时长，或者是重叠时间段，当然也可以是二者的结合。
在一种可能的实施方式中，所述方法还包括：所述数据分析网元从所述第一网元获取判定条件；所述数据分析网元确定第二终端的第二移动轨迹与所述第一移动轨迹存在交集，包括：所述数据分析网元根据所述判定条件，确定所述第二移动轨迹与所述第一移动轨迹存在交集。在该实施方式中，数据分析网元确定两个移动轨迹之间是否存在交集，可以是根据从第一网元处获取的判定条件进行判断的，例如，第一网元可以将该判定条件随请求消息一并发送给数据分析网元，以使得数据分析网元根据该判定条件确定两个移动轨迹之间是否存在交集。当然，在其它可能的实施方式中，该判定条件也可以预先配置于数据分析网元上，这样，第一网元每次向数据分析网元发送请求消息中可以不用携带该判定条件，减少了请求消息的数据量。
在一种可能的实施方式中，所述第三移动轨迹的信息分析结果包括以下信息的任意一种或多种：所述第三移动轨迹的信息对应的所述第二终端的标识信息、所述第三移动轨迹的信息对应的所述第二终端的数量、所述第三移动轨迹的信息包含的位置的信息、所述第三移动轨迹的信息包含的位置对应的时间的信息、所述第三移动轨迹的信息对应的所述第二终端的活跃度分析结果、所述第三移动轨迹的信息对应的所述第二终端的风险分析结果。在该实施方式中，第一移动轨迹的信息分析结果可以包括上述信息中的任意一种或多种，增加了方案实现时的灵活性。
在一种可能的实施方式中，所述第二终端的第二移动轨迹的信息分析结果包括以下信息的任意一种或多种：第二位置的信息、所述第二位置对应的时间的信息、所述第一移动轨迹与所述第二移动轨迹中相同的位置的信息、所述第一移动轨迹与所述第二移动轨迹中相同的位置对应的重叠时间的信息。在该实施方式中，第二移动轨迹的信息分析结果可以包括上述信息中的任意一种或多种，增加了方案实现时的灵活性。
在一种可能的实施方式中，所述第二终端的活跃度分析结果包括以下信息的任意一种或多种：用于指示所述第二终端活跃度高低的数值、用于指示所述第二终端活跃度高低的等级、所述第二终端在网络中的重注册次数、所述第二终端在所述网络中的位置变更次数、所述第二终端进入预设位置的次数、所述第二终端处于预设位置时发起的业务数、所述第二终端处于预设位置时发起的业务次数。在该实施方式中，可以利用上述一种或者多种信息作为第二终端的活跃度分析结果，用于表征第二终端在网络中的移动性活跃程度或者会话性活跃程度。进一步的，用于指示所述第二终端活跃度高低的数值、用于指示所述第二终端活跃度高低的等级可以是利用上述信息中的其余一种或者多种信息生成得到的。
在一种可能的实施方式中，所述第二终端的风险分析结果包括以下信息的任意一种或多种：所述第二终端的风险类别、所述第二终端的风险程度、所述第二终端的风险解除时间。在该实施方式中，第二终端的风险分析结果可以包括上述信息中的任意一种或多种，增加了方案实现时的灵活性。
在一种可能的实施方式中，所述第二终端包括多个终端；所述第二移动轨迹的信息分析结果包括所述多个终端的聚合移动轨迹的信息分析结果，和/或，所述多个终端中每个终 端的移动轨迹的信息分析结果；所述第二终端的活跃度分析结果包括所述多个终端的聚合活跃度分析结果，和/或，所述多个终端中每个终端的活跃度分析结果；所述第二终端的风险分析结果包括所述多个终端的聚合风险分析结果，和/或，所述多个终端中每个终端的风险分析结果。在该实施方式中，若数据分析网元所确定出的第二终端为多个终端，则第二移动轨迹的信息分析结果可以是各个终端的移动轨迹的信息分析结果的集合，也可以是根据各个终端的移动轨迹的信息分析结果进行聚合而得到的。该聚合包括但不限于计算平均值、方差等方式。
第二方面，本申请实施例还提供了一种通信方法，该方法包括：第一网元向数据分析网元发送请求消息，所述请求消息中包括第一移动轨迹的信息，和/或，所述第一移动轨迹的信息对应的第一终端的标识信息，所述请求消息用于向所述数据分析网元请求第二终端对应的分析结果，所述第二终端的第二移动轨迹与所述第一移动轨迹存在交集；所述第一网元接收来自所述数据分析网元的分析结果，所述分析结果包括以下信息的任意一种或多种：所述第二终端的标识信息、所述第二终端的数量、所述第二移动轨迹的信息分析结果、所述第二终端的活跃度分析结果、所述第二终端的风险分析结果、第三移动轨迹的信息分析结果，所述第三移动轨迹包括所述第一移动轨迹和所述第二移动轨迹之间重叠轨迹中的至少一部分。
在一种可能的实施方式中，所述分析结果包括所述第二终端的标识信息，所述方法还包括：所述第一网元根据所述第二终端的标识信息向所述第二终端发送指示信息，所述指示信息用于指示所述第二移动轨迹与所述第一移动轨迹存在交集。
在一种可能的实施方式中，所述分析结果包括所述第三移动轨迹的信息分析结果，所述方法还包括：所述第一网元根据所述第三移动轨迹的信息分析结果确定所述第三移动轨迹的信息对应的处理策略。
在一种可能的实施方式中，所述请求消息还包括判定条件，所述判定条件用于确定所述第二移动轨迹与所述第一移动轨迹存在交集。
在一种可能的实施方式中，所述判定条件包括：所述第二移动轨迹与所述第一移动轨迹中存在相同的位置；或，所述第二移动轨迹与所述第一移动轨迹中存在相同的位置，且所述相同的位置对应的时间存在至少部分重叠。
在一种可能的实施方式中，所述判定条件包括：所述第二移动轨迹与所述第一移动轨迹中存在至少一个相同的位置且所述相同的位置在所述第二移动轨迹与所述第一移动轨迹中对应的起始时间的时间间隔小于预设时间间隔。
在一种可能的实施方式中，所述相同的位置中包括多个位置，所述多个位置在所述第一移动轨迹和/或所述第二移动轨迹中是连续的。
在一种可能的实施方式中，所述相同的位置在所述第二移动轨迹与所述第一移动轨迹中对应的重叠时长大于预设时长。
在一种可能的实施方式中，所述相同的位置在所述第二移动轨迹与所述第一移动轨迹中对应的重叠时长大于预设时长，包括：所述相同的位置中存在至少一个位置对应的重叠时长大于所述预设时长；
或，所述相同的位置中包括连续相同的位置，且所述连续相同的位置中存在至少一个 位置对应的重叠时长大于所述预设时长；或，所述相同的位置中包括多个位置且各个位置对应的重叠时长的总和大于所述预设时长；或，所述相同的位置中包括连续相同的位置且所述连续相同的位置对应的重叠时长的总和大于所述预设时长。
在一种可能的实施方式中，所述请求消息中包括所述关联层级信息，其中，所述关联层级信息用于指示与所述第一移动轨迹关联的终端的目标级别，其中，相邻级别终端的移动轨迹存在交集，所述第一终端的级别为初始级别；所述分析结果还包括以下信息的任意一种或多种：所述目标级别终端的标识信息、所述目标级别终端的数量、所述目标级别终端的移动轨迹的信息分析结果、所述目标级别终端的活跃度分析结果以及所述目标级别终端的风险分析结果；所述目标级别终端的移动轨迹与所述目标级别的前一级别终端的移动轨迹存在交集。
在一种可能的实施方式中，所述请求消息中包括第一指定区域信息和/或第一所述指定时间信息，第一网元接收来自数据分析网元的分析结果，包括：所述第一网元接收来自所述数据分析网元的所述第一指定区域信息和/或所述第一所述指定时间信息对应的所述分析结果。
在一种可能的实施方式中，所述方法还包括：所述第一网元根据所述分析结果确定所述第一指定区域信息和/或所述第一所述指定时间信息对应的处理策略。
在一种可能的实施方式中，所述请求消息中还包括第二指定区域信息和/或第二指定时间信息，所述第一移动轨迹的信息为所述第一终端的标识信息对应的第一终端在所述第二指定区域信息和/或所述第二指定时间信息内的移动轨迹的信息。
在一种可能的实施方式中，所述第二移动轨迹的信息分析结果包括以下信息的任意一种或多种：第二位置的信息、所述第二位置对应的时间的信息、所述第一移动轨迹与所述第二移动轨迹中相同的位置的信息、所述第一移动轨迹与所述第二移动轨迹中相同的位置对应的重叠时间的信息。
在一种可能的实施方式中，所述第二终端的活跃度分析结果包括以下信息的任意一种或多种：用于指示所述第二终端活跃度高低的数值、用于指示所述第二终端活跃度高低的等级、所述第二终端在网络中的重注册次数、所述第二终端在所述网络中的位置变更次数、所述第二终端进入预设位置的次数、所述第二终端处于预设位置时发起的业务数、所述第二终端处于预设位置时发起的业务次数。
在一种可能的实施方式中，所述第二终端的风险分析结果包括以下信息的任意一种或多种：所述第二终端的风险类别、风险程度以及风险解除时间。
在一种可能的实施方式中，所述第二终端包括多个终端；所述第二移动轨迹的信息分析结果包括所述多个终端的聚合移动轨迹的信息分析结果，和/或，所述多个终端中每个终端的移动轨迹的信息分析结果；所述第二终端的活跃度分析结果包括所述多个终端的聚合活跃度分析结果，和/或，所述多个终端中每个终端的活跃度分析结果；所述第二终端的风险分析结果包括所述多个终端的聚合风险分析结果，和/或，所述多个终端中每个终端的风险分析结果。
第三方面，本申请实施例还提供了一种通信方法，该方法包括：数据分析网元获取第一移动轨迹的信息，所述第一移动轨迹的信息包括第一位置的信息；所述数据分析网元确 定第二终端的第二移动轨迹与所述第一移动轨迹存在交集；所述数据分析网元向第一网元发送分析结果，所述分析结果包括以下信息的任意一种或多种：所述第二终端的标识信息、所述第二终端的数量、所述第二移动轨迹的信息分析结果、所述第二终端的活跃度分析结果、所述第二终端的风险分析结果、第三移动轨迹的信息分析结果，所述第三移动轨迹包括所述第一移动轨迹和所述第二移动轨迹之间重叠轨迹中的至少一部分。
在该实施方式中，第一移动轨迹的信息可以仅包括第一位置的信息，从而可以基于各个终端移动轨迹确定与该第一移动轨迹存在交集的第二终端，从而得到相应的分析结果，这使得确定出与终端接触的其它终端(也即为与紧急事件相关的用户)或者其它终端的相关信息(也即为与紧急事件相关的用户的相关信息)的效率可以得到有效提高，减少了时间和人力成本，并且，出现漏记漏查的可能性通常也较小。
在一种可能的实施方式中，所述数据分析网元确定第二终端的第二移动轨迹与所述第一移动轨迹存在交集，包括：所述数据分析网元确定所述第二移动轨迹与所述第一移动轨迹存在相同的位置。在该实施方式中，第一移动轨迹与第二移动轨迹之间存在交集，具体可以是第二移动轨迹与第一移动轨迹之间存在相同的位置，该位置可以是网络位置，也可以是地理位置，当第一移动轨迹为第一终端的移动轨迹时，第二终端与第一终端在该相同的位置处存在接触(可以未发生物理触碰)。
在一种可能的实施方式中，所述方法还包括：所述数据分析网元接收来自所述第一网元的请求消息，所述请求消息用于向所述数据分析网元请求所述分析结果，所述请求消息中包括所述第一移动轨迹的信息。
在一种可能的实施方式中，所述请求消息中还包括第一指定区域信息和/或第一指定时间信息，所述数据分析网元向第一网元发送分析结果，包括：
所述数据分析网元向所述第一网元发送所述第一指定区域信息和/或所述第一指定时间信息对应的分析结果
在一种可能的实施方式中，所述请求消息中还包括第二指定时间信息；所述数据分析网元确定第二终端的第二移动轨迹与所述第一移动轨迹存在交集，包括：所述数据分析网元根据所述第二指定时间信息确定所述第二移动轨迹与所述第一移动轨迹存在交集。在该实施方式中，可以确定出第二终端在第二指定时间信息所表征的时间段内所产生的移动轨迹是否与第一移动轨迹存在交集，在时间上对所确定出的第二终端进行限制。
在一种可能的实施方式中，所述数据分析网元根据所述第二指定时间信息确定所述第二移动轨迹与所述第一移动轨迹存在交集，包括：所述数据分析网元确定所述第二指定时间信息对应的时间内的第二移动轨迹与所述第一移动轨迹存在相同的位置。在该实施方式中，具体是在确定第二终端在第二指定时间信息所表征的时间段内所产生的移动轨迹与第一轨迹轨迹存在相同的位置时，确定两个移动轨迹存在交集。当第一移动轨迹为第一终端的移动轨迹时，第一终端与第二终端在该第二指定时间信息所指示的时间段内在该相同的位置处存在接触。
在一种可能的实施方式中，所述第二移动轨迹的信息分析结果包括以下信息的任意一种或多种：第二位置的信息、所述第二位置对应的时间的信息、所述第一移动轨迹与所述第二移动轨迹中相同位置的信息、所述第一移动轨迹与所述第二移动轨迹中相同位置对应 的重叠时间的信息。
在一种可能的实施方式中，所述第三移动轨迹的信息分析结果包括以下信息的任意一种或多种：所述第三移动轨迹的信息对应的所述第二终端的标识信息、所述第三移动轨迹的信息对应的所述第二终端的数量、所述第三移动轨迹的信息包含的位置的信息、所述第三移动轨迹的信息包含的位置对应的时间的信息、所述第三移动轨迹的信息对应的所述第二终端的活跃度分析结果、所述第三移动轨迹的信息对应的所述第二终端的风险分析结果。在该实施方式中，第三移动轨迹的信息分析结果，可以是上述示例性信息中的任意一种或多种，增加了方案实现的灵活性。
第四方面，本申请实施例还提供了一种通信方法，该方法包括：
数据分析网元获取第一移动轨迹的信息，所述第一移动轨迹的信息包括第一位置的信息以及所述第一位置对应的时间的信息；
所述数据分析网元获取第二移动轨迹的信息，所述第二移动轨迹的信息包括第二位置的信息以及所述第二位置对应的时间的信息；
所述数据分析网元确定所述第二移动轨迹与所述第一移动轨迹存在交集；
所述数据分析网元向第一网元发送分析结果，所述分析结果包括以下信息的任意一种或多种：指示信息、所述第二移动轨迹的信息分析结果。所述指示信息用于指示所述第二移动轨迹与所述第一移动轨迹存在交集。
在一种可能的实现方式中，所述方法还包括：所述数据分析网元接收来自所述第一网元的请求消息，所述请求消息用于向所述数据分析网元请求所述分析结果，所述请求消息中包括所述第一移动轨迹的信息，和/或，所述第一移动轨迹的信息对应的第一终端的标识信息。
在一种可能的实现方式中，所述数据分析网元获取第一移动轨迹的信息，方法包括：所述数据分析网元根据所述第一终端的标识信息获取所述第一移动轨迹的信息。
在一种可能的实现方式中，所述请求消息中还包括所述第二移动轨迹的信息，和/或，所述第二移动轨迹的信息对应的第二终端的标识信息。
在一种可能的实现方式中，所述数据分析网元获取第二移动轨迹的信息，方法包括：所述数据分析网元根据所述第二终端的标识信息获取所述第二移动轨迹的信息。
在一种可能的实现方式中，所述请求消息中还包括指定区域信息和/或指定时间信息。
所述数据分析网元获取第一移动轨迹的信息，包括：
所述数据分析网元根据所述第一终端的标识信息以及所述指定区域信息和/或所述指定时间信息，获取所述第一移动轨迹的信息。
所述数据分析网元获取第二移动轨迹的信息，包括：
所述数据分析网元根据所述第二终端的标识信息以及所述指定区域信息和/或所述指定时间信息，获取所述第二移动轨迹的信息。
在一种可能的实现方式中，所述第二移动轨迹的信息分析结果包括以下信息的任意一种或多种：
第二位置的信息、所述第二位置对应的时间的信息、所述第一移动轨迹与所述第二移动轨迹中相同位置的信息、所述第一移动轨迹与所述第二移动轨迹中相同位置对应的重叠 时间的信息。
第五方面，本申请实施例还提供了一种通信装置，所述装置包括：接收单元，用于接收第一移动轨迹的信息，所述第一移动轨迹的信息包括第一位置的信息以及所述第一位置对应的时间的信息；处理单元，用于确定第二终端的第二移动轨迹与所述第一移动轨迹存在交集；发送单元，用于向第一网元发送分析结果，所述分析结果包括以下信息的任意一种或多种：所述第二终端的标识信息、所述第二终端的数量、所述第二移动轨迹的信息分析结果、所述第二终端的活跃度分析结果、所述第二终端的风险分析结果、第三移动轨迹的信息分析结果，所述第三移动轨迹包括所述第一移动轨迹和所述第二移动轨迹之间重叠轨迹中的至少一部分。
在一种可能的实施方式中，所述装置应用于数据分析网元，
第五方面所描述的通信装置，对应于第一方面所描述的通信方法，因此，第四方面的各种可能的实施方式以及其有益效果可以参照第一方面中对应实施方式以及有益效果的相关描述，在此不做赘述。
第六方面，本申请实施例还提供了一种通信装置，该装置包括：发送单元，用于向数据分析网元发送请求消息，所述请求消息中包括第一移动轨迹的信息，和/或，所述第一移动轨迹的信息对应的第一终端的标识信息，所述请求消息用于向所述数据分析网元请求第二终端对应的分析结果，所述第二终端的第二移动轨迹与所述第一移动轨迹存在交集；接收单元，用于接收来自所述数据分析网元的分析结果，所述分析结果包括以下信息的任意一种或多种：所述第二终端的标识信息、所述第二终端的数量、所述第二移动轨迹的信息分析结果、所述第二终端的活跃度分析结果、所述第二终端的风险分析结果、第三移动轨迹的信息分析结果，所述第三移动轨迹包括所述第一移动轨迹和所述第二移动轨迹之间重叠轨迹中的至少一部分。
在一种可能的实施方式中，该装置应用于第一网元。
第六方面所描述的通信装置，对应于第二方面所描述的通信方法，因此，第六方面的各种可能的实施方式以及其有益效果可以参照第二方面中对应实施方式以及有益效果的相关描述，在此不做赘述。
第七方面，本申请实施例还提供了一种通信装置，所述装置包括：接收单元，用于第一移动轨迹的信息，所述第一移动轨迹的信息包括位置的信息；处理单元，用于确定第二终端的第二移动轨迹与所述第一移动轨迹存在交集；发送单元，用于向第一网元发送分析结果，所述分析结果包括以下信息的任意一种或多种：所述第二终端的标识信息、所述第二终端的数量、所述第二移动轨迹的信息分析结果、所述第二终端的活跃度分析结果、所述第二终端的风险分析结果、第三移动轨迹的信息分析结果，所述第三移动轨迹包括所述第一移动轨迹和所述第二移动轨迹之间重叠轨迹中的至少一部分。
在一种可能的实施方式中，所述装置应用于数据分析网元。
第七方面所描述的通信装置，对应于第三方面所描述的通信方法，因此，第七方面的各种可能的实施方式以及其有益效果可以参照第三方面中对应实施方式以及有益效果的相关描述，在此不做赘述。
第八方面，本申请实施例还提供了一种通信装置，包括：处理器和存储器；所述存储 器，用于存储指令或计算机程序；所述处理器，用于执行所述指令或计算机程序，使得上述第一方面中任一种实施方式所述的方法至第三方面中任一种实施方式所述的方法被执行。
第八方面所描述的通信装置，对应于第一方面至第三方面所描述的通信方法，因此，第八方面的各种可能的实施方式以及其有益效果可以参照第一方面至第三方面中对应实施方式以及有益效果的相关描述，在此不做赘述。
第九方面，本申请实施例还提供了一种计算机可读存储介质，包括指令或计算机程序，当其在计算机上运行时，使得计算机执行上述第一方面中任一种实施方式所述的方法至第三方面中任一种实施方式所述的方法。
第九方面所描述的计算机可读存储介质，对应于第一方面或第二方面所描述的通信方法，因此，第九方面的各种可能的实施方式以及其有益效果可以参照第一方面至第三方面中对应实施方式以及有益效果的相关描述，在此不做赘述。
第十方面，本申请实施例还提供了一种通信系统，该系统可以包括上述第一方面中任一实施方式所述的数据分析网元以及上述第二方面中任一实施方式所述的第一网元；或者，该系统可以包括上述第三方面中任一实施方式所述的数据分析网元以及上述第二方面中任一实施方式所述的第一网元。
第十方面所描述的通信系统，对应于第一方面或第二方面所描述的通信方法，因此，第十方面的各种可能的实施方式以及其有益效果可以参照第一方面或第二方面中对应实施方式以及有益效果的相关描述，在此不做赘述。
第十一方面，本申请实施例提供一种芯片，该芯片包括处理器和通信接口，通信接口和处理器耦合，处理器用于运行计算机程序或指令，以实现第一方面至第三方面中各种可能的实现方式中所描述的一种通信方法。通信接口用于与芯片之外的其它模块进行通信。
附图说明
为了更清楚地说明本申请实施例中的技术方案，下面将对实施例描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本申请中记载的一些实施例，对于本领域普通技术人员来讲，还可以根据这些附图获得其他的附图。
图1为本申请实施例中一种示例性通信系统的架构示意图；
图2为本申请实施例中一种通信方法的流程示意图；
图3为本申请实施例中结合具体场景的一种通信方法的流程示意图；
图4为本申请实施例中结合具体场景的又一种通信方法的流程示意图；
图5为本申请实施例中一种通信装置的结构示意图；
图6为本申请实施例中又一种通信装置的结构示意图；
图7为本申请实施例中一种通信装置的硬件结构示意图；
图8为本申请实施例中一种芯片的硬件结构示意图。
具体实施方式
本申请实施例可以应用于如图1所示的示例性通信系统。该通信系统可以是支持第四 代(fourth generation，4G)接入技术的通信系统，例如长期演进(long term evolution，LTE)接入技术；或者，该通信系统也可以是支持第五代(fifth generation，5G)接入技术通信系统，例如新无线(new radio，NR)接入技术；或者，该通信系统还可以是支持多种无线技术的通信系统，例如支持LTE技术和NR技术的通信系统。另外，该通信系统也可以适用于面向未来的通信技术。
在该通信系统中，终端通过接入网(access network,AN)网元或者无线接入网(radio access network，RAN)接入核心网。其中，终端包括但不限于：用户设备(user equipment,UE)，用户单元、用户站、移动站、移动台、远方站、远程终端设备、移动终端设备、用户终端设备、终端设备、无线通信设备、用户代理、用户装置、蜂窝电话、无绳电话、会话启动协议(session initiation protocol，SIP)电话、无线本地环路(wireless local loop，WLL)站、个人数字处理(personal digital assistant，PDA)、具有无线通信功能的手持设备、计算设备、连接到无线调制解调器的处理设备、车载设备、可穿戴设备、物联网中的终端设备设备、家用电器、虚拟现实设备、未来5G网络中的终端设备设备或者未来演进的公共陆地移动网络(public land mobile network，PLMN)中的终端设备等。在本申请的实施例中，以终端为UE进行举例说明。
AN(或者RAN)可以是与终端进行通信的网元。AN(或RAN)可以为特定的地理区域提供通信覆盖，并且可以与位于该覆盖区域(小区)内的用户设备进行通信。AN(或RAN)可以与任意数目UE通信。AN(或RAN)与UE之间可以有多个空口连接，例如，AN(或RAN)与UE之间存在两个空口连接，分别用于传输数据流A和数据流B。AN(或RAN)可以支持不同制式的通信协议，或者可以支持不同的通信模式。例如，AN(或RAN)以是演进型基站(evolved node B，eNodeB)，或者是无线保真接入点(wireless fidelity access point，WiFi AP)、或者是全球微波接入互操作性基站(worldwide interoperability for microwave access base station，WiMAX BS)，或者是云无线接入网络(cloud radio access network，CRAN)中的无线控制器，或者该接入网网元可以为未来5G网络中的接入网网元或者未来演进PLMN中的接入网网元等。
核心网可以包括：用户面功能(user plane function，UPF)网元、网络切片选择功能(network slice selection function，NSSF)、网络能力开放功能(network exposure function，NEF)、网络存储功能(network repository function，NRF)、策略控制功能(policy control function，PCF)网元、统一数据管理功能(unified data management，UDM)网元、网络数据分析功能(network data analytics function，NWDAF)网元、鉴权服务功能(authentication server function，AUSF)网元、接入管理功能(access management function，AMF)网元、会话管理功能(session management function，SMF)网元以及服务控制点(service control point，SCP)。通过AN(或RAN)和用户面功能网元，可以实现UE和数据网络(data network，DN)之间用户面数据的传输。
其中，AMF网元，可以用于为UE提供移动性管理、或者接入授权以及鉴权等功能。
应用功能(application function，AF)网元，可分为运营商AF网元和第三方AF网元，区别在于是否由运营商部署。第三方AF网元包括非运营商部署的各种应用相关服务器，如铁路系统相关AF，医疗系统相关AF、OTT(over the top)业务相关AF，政府社区相关 AF(如社区服务app等)。
NEF网元，可以用于将通信运营商网络的数据和服务向外部AF开放，或者反向将AF数据或服务向运营商开放。
NWDAF网元，可以具备以下一种或多种功能：数据收集、训练、分析、推理功能。例如NWDAF网元用于收集来自网络网元、第三方业务服务器、终端设备或网管系统中的相关数据，并基于相关数据做分析训练，从而向网络网元、第三方业务服务器、提供终端设备或网管系统提供相应的数据分析结果，该分析结果可协助网络选择业务的服务质量参数，或协助网络执行流量路由，或协助网络选择背景流量传输策略等。其中，NWDAF网元可以在网络中作为独立网元进行单独设置，也可以是将NWDAF网元与其他网元合设，如NWDAF网元功能设置于SMF网元、AMF网元上。网络中可以包含一个或者多个NWDAF网元，不同NWDAF网元之间可以具有不同的数据类型分析功能，当然，也可以具有相同数据类型分析的功能。
其他NF(网络功能)，即指网络中的其它节点或物理设备，可以具备以下一种或多种功能：为UE接入网络、进行会话、鉴权认证、策略控制等提供相应的功能支持，也会产生相应的网络数据。例如上述AMF、SMF、UDM等都是NF的一种实例。
终端与网元以及不同网元之间可以通过相应的业务接口或者点到点的接口进行通信，如UE可以通过N1接口与AMF网元进行通信，AN可以通过N3接口与UPF网元进行通信等(诸如N2、N4、N6以及N9等点到点的接口类似)；又如，AMF网元可以通过业务接口Namf接口与网络中的其他网元进行通信，AF网元可以通过业务接口Naf接口与其它网元进行通信等，其余在此不再赘述。
其中，在图1所示的通信系统中，各组成网元的功能仅为示例性的，各个组成网元在应用于本申请的实施例中时，并非全部功能都是必需的。需要说明的是，图1所示的通信系统仅是本申请实施例提供的一个通信系统示例，本申请实施例可以应用于任何可适用的通信系统中，而不局限于上述图1所示的通信系统。
下面将结合附图对本申请实施例中的各种非限定性实施方式进行示例性说明。参阅图2，图2示出了本申请实施例中一种通信方法的流程示意图，该方法可以应用于上述图1所示的通信系统中，也可以应用于其它可适用的通信系统中。当应用于图1所示的通信系统中时，本实施例中的数据分析网元可以是图1所示的通信系统中的NWDAF网元；第一网元可以是通信系统中除该NWDAF网元之外的其它网元(包括也可以是另一NWDAF网元)，如AF网元、AMF网元、UDM网元、RAN网元、UE等，第一网元可以与数据分析网元可以在网络中合设或独立部署。该方法具体可以包括：
S201：数据分析网元获取第一移动轨迹的信息，该第一移动轨迹的信息包括第一位置的信息以及该第一位置对应的时间的信息。
S202：数据分析网元确定第二终端的第二移动轨迹与该第一移动轨迹存在交集。
S203：数据分析网元向第一网元发送分析结果，该分析结果包括第二终端的标识信息、第二终端的数量、第二移动轨迹的信息分析结果、第二终端的活跃度分析结果、第二终端的风险分析结果以及第三移动轨迹的信息分析结果中的任意一种或多种，其中，该第三移动轨迹包括第一移动轨迹和第二移动轨迹之间重叠轨迹中的至少一部分。
本实施例中，可以是由数据分析网元根据相应的数据进行分析确定哪些终端的移动轨迹与第一移动轨迹存在交集。其中，第一移动轨迹可以是某个或者某些终端(以下称之为第一终端)的移动轨迹，也可以是预先指定的移动轨迹。第一移动轨迹的信息可以包括第一位置的信息以及该第一位置对应的时间的信息。比如，当第一移动轨迹为第一终端的移动轨迹时，第一移动轨迹的信息可以包括第一终端所在的第一位置的信息，以及该第一终端位于第一位置的时间(如起始时间、结束时间以及持续时长等)。
相应的，数据分析网元可以先执行步骤S201，获取该第一移动轨迹的信息。
在一种获取第一移动轨迹的信息的示例性实施方式中，若第一移动轨迹是第一终端的移动轨迹，则数据分析网元可以是根据第一终端的标识信息获取相应的第一移动轨迹的信息。例如，网络中的第一网元可以向数据分析网元发送请求消息，以请求数据分析网元向第一网元反馈与第一终端存在接触的第二终端的相关信息，如第二终端与第一终端发生接触时所在的位置的信息、在该位置处接触的时间信息(如开始接触的起始时间、结束时间以及接触时长等)等。其中，该请求消息可以包括第一终端的标识信息。
其中，第一网元，可以是AMF网元、RAN网元、UDM网元、RAN网元、UE等除该数据分析网元之外的其它网元(包括也可以是另一数据分析网元网元)。在一些示例中，该第一网元可以是网络中的其它数据分析网元。比如，当网络中的部分数据分析网元不具有确定与第一终端存在接触的第二终端的功能时，该部分数据分析网元可以向网络中具有该功能的数据分析网元发送请求消息，从而获取所需的分析结果。在另一些示例中，也可以是由与第一网元直接或者间接通信的终端设备发起该请求消息，并通过第一网元将该请求消息转发给数据分析网元等。当第一网元与数据分析网元在网络中合设时，第一网元可以无需通过向数据分析网元发送请求的方式获取相应的分析结果，而可以直接从数据分析网元处获得。
在一些可能的实施方式中，第一终端的标识信息，例如可以是第一终端的一般公共订阅标识(generic public subscription identifier，GPSI)、签约永久标识(subscriptionp ermanent identifier，SUPI)、国际移动用户识别码(international mobile subscriber identity，IMSI)、国际移动设备识别码(international mobile equipment identity，IMEI)、GEI、application user ID以及IP五元组信息中的任意一种或多种。。
在一些可能的实施方式中，其中，第一终端所处位置的信息，具体可以是诸如以下示例中的至少一种：cell、cell list(小区列表)、TA(tracking area，跟踪区)、TA list(跟踪区列表)、MR(measurement report，测量报告)位置信息、LCS(location services，定位服务)位置信息等网络位置的信息；或者，可以是由经纬度、行政区域等其他方式所表征的地理位置的信息；还可以是第一终端所接入的基站的标识信息，由于基站的位置通常相对固定，因此，当第一终端接触该基站时，基站(或基站标识)所对应的位置即可作为第一终端的地理位置或网络位置。进一步的，当其它网元反馈的位置相关信息为经纬度或者行政区域等地理位置的信息时，在传输至数据分析网元的过程中，还可以将该地理位置的信息转换为数据分析网元可识别的位置信息。
本实施例中所描述的第一终端与第二终端接触(也即为第一终端的移动轨迹与第二终端的移动轨迹存在交集)，并不局限于终端之间在物理上发生触碰，在第一终端与第二终端 之间未发生物理触碰的情况下，若第一终端与第二终端位于同一区域内，或者第一终端与第二终端之间的距离较近，则也可以是认为第一终端与第二终端之间存在接触。例如：当第一终端与第二终端之间的距离小于1米时，可以认为第一中高端与第二终端之间存在接触。
然后，数据分析网元利用从该请求消息中解析出的第一终端的标识信息，可以向网络中的其它网元，如AF网元和/或NF网元等，发送获取该第一终端的位置相关信息的请求，该请求中携带有第一终端的标识信息，以便于从其它网元中获取第一终端的位置相关信息。
其中，NF网元例如可以是AMF网元、RAN网元、OAM(operation administration and maintenance，操作维护管理)网元、GMLC(gateway mobile location center，网关移动位置中心)网元、LMF(location management function，定位管理功能)网元等。
作为一种示例，所获取的第一终端的位置相关信息，可以包括以下信息的至少一种：第一终端所处位置的信息、第一终端进入各个位置的时间、第一终端离开该位置的时间以及第一终端位于该位置的时长等。这样，数据分析网元根据各个网元响应请求所反馈的第一终端的位置相关信息，生成该第一终端对应的第一移动轨迹的信息，例如，第一移动轨迹可以是将多个第一终端所处的位置按照时间顺序进行排列得到。
作为一种示例，第一终端的位置相关信息，可以包括第一终端所处第一位置的信息以及该第一终端位于第一位置的时间信息，该时间信息例如可以是第一终端进入该第一位置的开始时间、第一终端进入该第一位置的结束时间、以及第一终端位于该第一位置的持续时长等一种或多种时间信息。这样，数据分析网元可以基于第一终端的位置相关信息，生成连续函数y＝f(x)，其中，x表征时刻，y表征x时刻下第一终端所位于的位置，从而该连续函数y＝f(x)即为UE1的第一移动轨迹的信息。
当然，在其它可能的实施方式中，第一移动轨迹的信息，也可以包括离散地表征第一终端进入的位置的信息以及该第一终端进入该位置的时间信息。比如，第一移动轨迹的信息可以包括离散的小区标识以及第一终端进入各个小区标识所指示的小区对应的起始时间、持续时长以及结束时间(此处以多个小区为例，示例性的，也可以是一个小区，下同)，如下表1所示(假设第一终端的移动轨迹为cell 1→cell 2→cell 3→cell 4)：
表1
小区标识 起始时间 持续时长 结束时间
Cell 1 08:00:00 5分钟 08:05:00
Cell 2 08:05:01 5分钟 08:10:00
Cell 3 08:10:01 5分钟 08:15:00
Cell 4 08:15:01 5分钟 08:20:00
又比如，第一移动轨迹的信息可以包括多个小区标识以及该第一移动轨迹的起始时间、持续时长以及结束时间，如下表2所示(仍以UE1的移动轨迹为cell 1→cell 2→cell 3→cell 4为例)：
表2
Figure PCTCN2021074374-appb-000001
示例性的，第一终端的第一移动轨迹的信息可以是与第一终端的位置相关信息具有相同的表现形式，也可以是具有不同的表现形式。
在一些可能的设计中，其它网元向数据分析网元反馈第一终端的位置相关信息时，还可以向数据分析网元反馈其它终端的位置相关信息，以便于后续确定出哪些终端的移动轨迹与第一移动轨迹存在交集。示例性的，第一网元向数据分析网元发送的请求消息中可以包含第一指定区域信息和/或第一指定时间信息，则数据分析网元可以向其他网元请求获取位于该第一指定区域信息所指示的区域内的其它终端的位置相关信息，和/或，处于第一指定时间信息所指示的时间段内的其它终端的位置相关信息。
在另一种获取第一移动轨迹的信息的示例性实施方式中，第一网元也可以是直接将第一移动轨迹的信息发送给数据分析网元。具体的，第一网元在向数据分析网元请求获取与第一终端存在接触的第二终端的相关信息时，可以将第一移动轨迹的信息随请求消息发送给数据分析网元，这样数据分析网元可以直接从接收到的请求消息中解析出第一移动轨迹的信息，此时，该第一移动轨迹可以是第一终端的移动轨迹，也可以是由第一网元预先指定的移动轨迹等。这样，获取第一移动轨迹的信息时可以无需获知第一终端的标识信息，从而可以保护持有该第一终端的用户的隐私安全。
在进一步可能的实施方式中，第一网元向数据分析网元发送的请求消息中，还可以包括分析类型标识信息、关联层级信息、第一指定区域信息、第二指定区域信息、第一指定时间信息、第二指定时间信息中的任意一种或多种。
其中，分析类型标识信息，可以用于指示向数据分析网元请求哪种类型的分析结果。比如，请求消息中可以包含请求第二终端数量的标识，可以用于请求数据分析网元反馈与第一移动轨迹存在重叠的移动轨迹所对应的第二终端的数量；又比如，请求消息中可以包含请求第二终端的移动轨迹的标识，用于请求数据分析网元反馈第二终端的移动轨迹的信息。该请求消息中可以包含一种或者多种分类类型标识信息，用于向数据分析网元请求一种或者多种不同的内容。
关联层级信息，可以用于指示与第一移动轨迹对应的终端相关联的终端目标级别。关联层级信息例如可以表现为一个数值，如为3时，表征所确定的目标级别终端为第三级别的终端，其与第二级别的第二终端关联，第二级别的第二终端与第一级别的第一终端关联。其中，两个相邻级别的终端之间的关联，具体表现为这两个终端的移动轨迹存在交集。当请求消息中包括该关联层级信息时，数据分析网元可以将与第一级别的终端对应的第一移动轨迹存在交集的第二移动轨迹所对应的终端确定为第二级别的终端，并生成该第二级别的终端对应的分析结果，然后，可以将与第二移动轨迹存在交集的移动轨迹所对应的终端确定为第三级别的终端，并生成第三级别的终端对应的分析结果，以此类推，可以得到各个级别对应的分析结果。这样，数据分析网元可以向第一网元反馈第一级别(也即为初始级别)、第二级别至目标级别的终端所对应的分析结果，或者仅反馈目标级别的终端对应的 分析结果等。
第一指定区域信息，可以用于指示数据分析网元反馈第一指定区域信息所表征的区域内的第二终端对应的分析结果。示例性的，第一指定区域信息，具体可以是表现为用于划分区域的坐标值，如可以利用多个区域边界的坐标值来表征第一指定区域；或者，也可以是表现为行政区域，如利用省、市、县、乡等；还可以是表现为网络中某个或者某些网元所服务的网络区域等。比如，当第一指定区域信息所指示的城市为武汉市时，则可以从归属于武汉市的所有终端中确定出与第一终端存在接触的第二终端。进一步的，该请求消息中还可以包括第二指定区域信息，可以用于确定位于第二指定区域内的第一移动轨迹。数据分析网元可以确定出与第二指定区域内的第一移动轨迹存在交集的第二移动轨迹所对应的第二终端。比如，第一终端的第一移动轨迹中包括武汉市的cell(小区)1→cell 2→cell 3，而第二指定区域信息所指示的区域包括cell 1以及cell 2两个位置，则数据分析网元可以将移动轨迹cell 1→cell 2作为第一移动轨迹，并反馈相应的分析结果。在进一步可能的实施方式中，当请求消息中仅包括第一指定区域信息时，数据分析网元也可以是将第一终端在第一指定区域内的移动轨迹作为第一移动轨迹。例如，在请求消息中不包含第二指定区域信息的情况下，数据分析网元也可以是将上述cell1→cell 2→cell 3作为第一终端的第一移动轨迹。
第一指定时间信息，可以用于指示数据分析网元反馈哪个时间段内的分析结果。比如，第一指定时间信息可以用于指示3月1日至3月20日，相应的，数据分析网元可以反馈与第一终端在该时间段内存在接触的第二终端对应的分析结果。进一步的，该请求消息中还可以包括第二指定时间信息，该第二指定时间信息，可以用于确定第一终端在第二指定时间信息所指示的时间段内的移动轨迹作为第一移动轨迹，以便于数据分析网元根据第一终端在该段时间内的第一移动轨迹确定出第二终端。比如，第二指定时间信息所指示的时间段为3月1日凌晨0:00至3月2日凌晨0:00，则数据分析网元可以基于第一终端在该时间段内所存在的移动轨迹反馈相应的分析结果。其中，第一指定时间信息或者第二指定时间信息，可以是历史时间的信息，也可以是当前时间的信息，也可以是未来时间的信息。在进一步可能的实施方式中，当请求消息中仅包括第一指定时间信息时，数据分析网元也可以是将第一终端在第一指定时间信息所指示的时间段内所产生的移动轨迹作为第一移动轨迹。例如，当请求消息中不包括第二指定时间信息时，数据分析网元可以将第一终端在上述3月1日至3月20日这一时间段内所产生移动轨迹作为第一移动轨迹，并以此得到相应的分析结果。
分析类型标识信息、关联层级信息、第一指定区域信息、第二指定区域信息、第一指定时间信息、第二指定时间信息中的任意一种或者多种，也可以是预先配置于数据分析网元中。比如，关联层级信息，可以在数据分析网元被配置为固定的第二级别或者第三级别；又比如，第二指定时间信息可以是最近三天的时间，则数据分析网元可以实时计算出第二指定时间信息。这样，第一网元每次在请求数据分析网元反馈相应的分析结果时，可以无需将这些被配置于数据分析网元上的信息添加至请求消息，从而不仅可以减少请求消息的数据量，也可以提高第一网元请求分析结果的效率。
本实施例中，数据分析网元在获得第一移动轨迹的信息后，还可以根据该第一移动轨 迹的信息，执行步骤S202，以确定哪些终端的移动轨迹与第一移动轨迹存在交集。
在一些可能的实施方式中，数据分析网元在确定出第一移动轨迹的信息的同时，还可以确定多个终端(可以不包括上述第一终端)的移动轨迹的信息，以便根据多个终端的移动轨迹的信息，确定出与第一移动轨迹存在交集的移动轨迹所对应的终端(以下将该终端称之为第二终端)。
作为一种具体实现示例，数据分析网元可以向网络中的其它网元获取多个终端的位置相关信息，并基于各个终端分别对应的位置相关信息，确定出各个终端分别对应的移动轨迹的信息。然后，数据分析网元可以将第一移动轨迹的信息分别与各个终端对应的移动轨迹的信息进行比对，确定两个移动轨迹是否存在交集，若存在，则将与该第一移动轨迹存在交集的移动轨迹所对应的终端确定为第二终端，以便后续获取该第二终端的相关信息；而若不存在，则可以继续将第一移动轨迹的信息与下一终端的移动轨迹的信息进行比对，以确定出下一个终端的移动轨迹与第一移动轨迹之间是否存在交集，直至从多个终端中确定出移动轨迹与第一移动轨迹存在交集的所有第二终端，所确定出的第二终端的数量可以是一个，也可以是多个。其中，数据分析网元获得各个终端分别对应的移动轨迹的信息的具体实现方式，与前述数据分析网元获得第一终端对应的第一移动轨迹的信息的具体实现方式类似，在此不做赘述。
在一些可能的实施方式中，请求消息中还可以包括判定条件。数据分析网元在从接收到的请求消息中解析出判定条件后，可以根据该判定条件确定两个终端的移动轨迹是否存在交集。
作为一种示例，该判定条件，具体可以是如下判定条件中的任意一种或者多种，其中，第二终端的第二移动轨迹的信息可以包括第二位置的信息以及第二位置对应的时间的信息：
(1)第一终端的第一移动轨迹与第二终端的第二移动轨迹中存在相同的位置。
若数据分析网元确定第一终端的第一移动轨迹与第二终端的第二移动轨迹中存在至少一个位置相同，则数据分析网元可以确定第一移动轨迹与第二移动轨迹存在交集。
比如，假设第一终端的移动轨迹为cell 1→cell 2→cell 3，第二终端的移动轨迹为cell 4→cell 2→cell 5，即第一终端的移动轨迹与第二终端的移动轨迹之间存在重叠的网络位置cell 2，此时，数据分析网元可以确定第一终端的移动轨迹与第二终端的移动轨迹存在交集。
(2)第一终端的第一移动轨迹与第二终端的第二移动轨迹中存在相同的位置，且第一终端与第二终端位于该相同的位置对应的时间存在至少部分重叠。
数据分析网元若确定第一终端的第一移动轨迹与第二终端的第二移动轨迹中存在至少一个位置相同，并且，第一终端处于该相同位置的时间与第二终端处于该位置的时间存在至少部分重叠，则可以确定第一终端的第一移动轨迹与第二终端的第二移动轨迹存在交集。
仍以第一终端的移动轨迹为cell 1→cell 2→cell 3、第二终端的移动轨迹为cell 4→cell 2→cell 5为例，不仅第一终端与第二终端分别对应的移动轨迹中存在重叠的位置cell 2，而且，第一终端处于cell 2的时间为8:00至9:00，第二终端处于cell 2的时间为8:30至9:15，则第一终端与第二终端在cell 2处的时间存在重叠，重叠时间段为 8:30至9:30，此时，数据分析网元可以确定第一终端的移动轨迹与第二终端的移动轨迹存在交集。
(3)第一终端的第一移动轨迹与第二终端的第二移动轨迹中存在至少一个相同的位置，且第一终端与第二终端位于该相同位置在第二移动轨迹与第一移动轨迹中对应的起始时间的时间间隔小于预设时间间隔。
此时，数据分析网元若确定第一终端的第一移动轨迹与第二终端的第二移动轨迹中存在至少一个位置相同，并且，第一终端进入该相同位置的起始时间与第二终端进入该相同位置的起始时间之间的时间间隔大于预设时间间隔，则可以确定第一移动轨迹与第二移动轨迹存在交集。
仍以第一终端的移动轨迹为cell 1→cell 2→cell 3、第二终端的移动轨迹为cell 4→cell 2→cell 5为例，不仅第一终端与第二终端分别对应的移动轨迹中存在重叠的位置cell 2，而且，第一终端进入cell 2的起始时间为8:00，第二终端进入cell 2的起始时间为8:01，则第一终端与第二终端进入cell 2时的起始时间的时间间隔为1分钟，小于预设时间间隔(假设为3分钟)，此时，数据分析网元可以确定第一终端的移动轨迹与第二终端的移动轨迹存在交集。
(4)第一终端的第一移动轨迹与第二终端的第二移动轨迹中存在相同的位置，且第一移动轨迹与第二移动轨迹中相同的位置的数量大于预设数量。
数据分析网元若确定第一终端的第一移动轨迹与第二终端的第二移动轨迹中存在至少一个位置相同，并且，相同位置的数量大于预设数量时，则可以确定第一移动轨迹与第二移动轨迹存在交集。
例如，第一终端的移动轨迹为cell 1→cell 2→cell 3→cell 4→cell 5、第二终端的移动轨迹为cell 6→cell 2→cell 3→cell 4→cell 7，不仅第一终端与第二终端分别对应的移动轨迹中存在重叠的位置cell 2、cell 3以及cell 4，而且，相同位置的数量为3，大于预设数量(假设为2)，此时，数据分析网元可以确定第一终端的移动轨迹与第二终端的移动轨迹存在交集。
(5)第一终端的第一移动轨迹与第二终端的第二移动轨迹中存在相同的位置，并且，该相同的位置在第一移动轨迹和/或第二移动轨迹中连续。
此时，NWDAF网元若确定UE1的移动轨迹与UE2的移动轨迹中存在至少一个位置相同，并且，相同位置在第一移动轨迹或第二移动轨迹中是连续的，则可以确定这两个UE的移动轨迹存在交集。
例如，第一终端的移动轨迹为cell 1→cell 2→cell 3→cell 4→cell 5、第二终端的移动轨迹为cell 6→cell 2→cell 3→cell 4→cell 7，不仅第一终端与第二终端分别对应的移动轨迹中存在重叠的位置cell 2、cell 3以及cell 4，而且，相同位置在第一移动轨迹以及第二移动轨迹中均连续，此时，数据分析网元可以确定第一终端的移动轨迹与第二终端的移动轨迹存在交集。
(6)第一终端的第一移动轨迹与第二终端的第二移动轨迹中存在相同的位置，且该相同的位置在第一移动轨迹与第二移动轨迹中对应的重叠时长大于预设时长。
数据分析网元若确定第一终端的第一移动轨迹与第二终端的第二移动轨迹中存在至少 一个位置相同，并且，第一终端与第二终端处于该相同位置对应的重叠时长大于预设时长，则可以确定第一移动轨迹与第二移动轨迹存在交集。
判定条件还可以对上述五个示例性的判定条件进行适应性结合。比如，结合第二种判定条件以及第三种判定条件，判定条件，还可以是第一终端的第一移动轨迹与第二终端的第二移动轨迹中存在相同的位置，且第一终端与第二终端位于该相同的位置对应的时间存在至少部分重叠，且该相同位置的起始时间的时间间隔小于预设时间间隔。
示例性的，第一移动轨迹与第二移动轨迹中相同的位置对应的重叠时长大于预设时长的具体实现，可以是如下实施方式中的任意一种：
实施方式一：第一移动轨迹与第二移动轨迹中相同的位置中存在至少一个位置对应的重叠时长大于预设时长。例如，假设UE1的移动轨迹为cell 1→cell 2→cell 3、UE2的移动轨迹为cell 4→cell 2→cell 5，并且，UE1处于cell 2的时间为8:00至9:00，UE2处于cell 2的时间为8:30至9:15，则UE1与UE2分别对应的移动轨迹中存在相同的位置cell 2，且，UE1以及UE2处于该cell 2处的重叠时长为30分钟(即8:30至9:00)，大于预设时长(假设为10分钟)，因此，NWDAF网元可以确定UE1与UE2的移动轨迹中相同的位置对应的重叠时长大于预设时长。
实施方式二：第一移动轨迹与第二移动轨迹中相同的位置中包括连续相同的位置(也即为第一终端与第二终端连续发生相同的位置变化)，并且该连续相同的位置中存在至少一个位置对应的重叠时长大于预设时长。例如，UE1的移动轨迹为cell 1→cell 2→cell 3→cell 4→cell 5、UE2的移动轨迹为cell 6→cell 2→cell 3→cell 4→cell 7，则UE1与UE2分别对应的移动轨迹中存在连续相同的位置cell 2、cell 3以及cell 4，当UE1与UE2在cell 2、cell 3以及cell 4中的任意一个小区或者多个小区的重叠时长大于预设时长时，NWDAF网元可以确定UE1与UE2的移动轨迹中相同的位置对应的重叠时长大于预设时长。
实施方式三：第一移动轨迹与第二移动轨迹中相同的位置中包括多个位置，并且，各个位置对应的重叠时长总和大于预设时长。比如，假设UE1的移动轨迹为cell 1→cell 2→cell 3、UE2的移动轨迹为cell 4→cell 2→cell 3，并且，UE1处于cell 2以及cell3的时间分别为8:00至9:00、9:00至10:00，UE2处于cell 2以及cell3的时间分别为8:30至9:15、9:15至10:30，则UE1与UE2分别对应的移动轨迹中存在相同的位置cell 2、cell3，且，UE1以及UE2处于该cell 2处的重叠时长为30分钟(即8:30至9:00)，在cell 3处的重叠时长为45分钟(即9:15至10:00)，即UE1以及UE2处于cell 2以及cell 3的重叠时长的总和为75分钟，大于预设时长(假设为60分钟)，因此，NWDAF网元可以确定UE1与UE2的移动轨迹中各个相同的位置对应的重叠时长的总和大于预设时长。
实施方式四：第一移动轨迹与第二移动轨迹中相同的位置中包括连续相同的位置，并且，连续相同的位置对应的重叠时长总和大于预设时长。
举例来说，若UE1的移动轨迹为cell 1→cell 2→cell 3、UE2的移动轨迹为cell 4→cell 2→cell 3，并且，UE1处于cell 2以及cell3的时间分别为8:00至9:00、9:00至10:00，UE2处于cell 2以及cell3的时间分别为8:30至9:15、9:15至10:30，则UE1以及UE2处于cell 2以及cell 3的重叠时长的总和为75分钟，大于预设时长(假设为 60分钟)，因此，NWDAF网元可以确定UE1与UE2的移动轨迹中各个相同的位置对应的重叠时长的总和大于预设时长。而若UE1的移动轨迹为cell 1→cell 2→cell5→cell 3，UE2的移动轨迹依然为cell 4→cell 2→cell 3，即两个UE的移动轨迹不存在连续相同的位置，此时，NWDAF网元可以确定UE1与UE2的移动轨迹中各个相同的位置对应的重叠时长的总和不大于预设时长。
数据分析网元网元也可以是结合上述四种实施方式中的任意多种实施方式来确定两个移动轨迹中相同的位置对应的重叠时长是否大于预设时长时，本实施例中对此并不进行限定。
数据分析网元在确定出第二终端后，可以执行步骤S203，针对于该第二终端生成相应的分析结果。本实施例中，该分析结果，可以包括以下信息的任意一种或多种：
第二终端的标识信息、第二终端的数量、第二移动轨迹的信息分析结果、第二终端的活跃度分析结果、第二终端的风险分析结果以及第三移动轨迹的信息分析结果。其中，第三移动轨迹，可以是第一移动轨迹与第二移动轨迹之间重叠轨迹中的至少一部分，具体可以是部分重叠的轨迹，也可以是全部重叠的轨迹。可选的，当数据分析网元生成的分析结果中包括第二终端的标识信息，并且，第二终端的数量为多个时，可以是以标识列表的形式反馈多个第二终端的标识信息。
其中，第二移动轨迹的信息分析结果，可以包括第二终端所处的第二位置、第二终端位于该第二位置对应的时间的信息(如第二终端处于该第二位置的起始时间、结束时间或停留时长等)、第一移动轨迹与第二移动轨迹中相同的位置的信息、第一移动轨迹与第二移动轨迹中相同的位置所对应的重叠时间的信息(如第一终端与第二终端同时位于同一位置的时间段等)中的任意一种或多种。
第二终端的活跃度分析结果，可以用于指示第二终端在网络中移动性程度高低或者会话性程度高低。在一些示例中，第二终端的活跃度分析结果，具体可以是用于指示第二终端活跃度高低的数值、用于指示第二终端活跃度高低的等级、第二终端在网络中的重注册次数、第二终端在网络中的位置变更次数、第二终端进入预设位置的次数、第二终端处于预设位置时发起的业务数、以及第二终端处于预设位置时发起的业务次数中的任意一种或多种。在进一步可能的实施方式中，用于指示第二终端活跃度高低的数值和/或用于指示第二终端活跃度高低的等级，还可以是由数据分析网元根据第二终端在网络中的重注册次数、第二终端在网络中的位置变更次数、第二终端进入预设位置的次数、第二终端处于预设位置时发起的业务数、以及第二终端处于预设位置时发起的业务次数中的任意一种或多种信息确定的。
可选的，第二终端的活跃度分析结果，还可以是根据第二终端所处的第二位置和/或第二终端所发起的业务的不同进行精细化的调节。作为一种示例，可以是为第二终端所处于的不同第二位置设置不同的权重参数，比如，在疫情监控场景中，可以将疾病感染率较高的第二位置A设置较大的权重参数，将疾病感染率较低的第二位置B设置较小的权重参数，这样，位于第二位置A的第二终端的活跃度可以高于/大于位于第二位置B的第二终端的活跃度。在另一种示例中，也可以是为第二终端发起的不同业务配置不同的权重参数，比如，可以为A类型的业务(在疫情监控场景中例如可以是医疗业务等)设置较大的权重参数， 为B类型的业务(例如可以是游戏业务等)设置较小的权重参数，从而发起A类型业务的第二终端所对应的活跃度高于/大于发起B类型业务的第二终端所对应的活跃度。
第二终端的风险分析结果，具体可以包括第二终端的风险类别、风险程度以及风险解除时间中的任意一种或多种。
其中，第二终端的风险类别，可以指示持有该第二终端的用户所属的风险类别，如第二终端可以被划分为较大风险的类别、较小风险的类别以及不存在风险的类别等，以用于指示持有该第二终端的用户可以被划分为存在较大风险(如疫情监控场景中的被感染风险)的用户、存在较小风险的用户以及不存在风险的用户等。当然，第二终端的风险类别的具体实现不局限于上述示例。
风险程度，可以用于表征持有第二终端的用户所具有的风险程度的高低，如在疫情监控场景中，风险程度可以表征持有第二终端的用户被感染的风险程度的高低。在一些示例中，可以是定义不同的等级、数值等标识来表征风险程度的高低。比如，可以利用“高”、“中”、“低”以及“无”这四个等级作为表征风险程度高低的标识，其中，“高”即是指风险较高、“无”即是指没有风险等，其它以此类推。又比如，可以是利用字母或者数值作为风险程度高低的标识，如利用“A”、“B”、“C”以及“D”来依次表征高风险、中等风险、低风险以及没有风险，或者利用“3”、“2”、“1”以及“0”来依次表征高风险、中等风险、低风险以及没有风险等。再比如，可以是数值的高低来表征风险程度的高低，如利用0至100之间的数值来表征风险程度的高低，并且，数值越大，表征风险程度越高，数值越小，表征风险程度越低。进一步的，当风险程度的高低采用不同等级进行表现时，数据分析网元还可以根据表征第二终端的风险程度的数值来确定风险程度的等级，如当数值位于70至100时，可以确定第二终端的风险程度的等级为“高”，当数值位于30至70时，可以确定第二终端的风险程度的等级为“中”等。对于表征风险程度高低的具体实现方式，本实施例并不进行限定。
风险解除时间，可以是指第二终端由当前风险程度达到不具有风险或者风险风度较低的时间。比如，在疫情监控场景中，若疾病的潜伏期为14天，则第二终端的风险解除时间可以为自第二终端与第一终端的接触之日起的第15天。
进一步的，当第二终端的数量为多个时，第二终端的第二移动轨迹的信息分析结果，可以是该各个第二终端的移动轨迹的信息分析结果，也可以是根据各个第二终端的移动轨迹的信息分析结果进行聚合处理所得到的聚合移动轨迹的信息分析结果，当然，还可以同时包括这两种分析结果。其中，聚合移动轨迹的信息分析结果，可以包括第一移动轨迹中与各个第二终端的第二移动轨迹存在交集的位置、第一移动轨迹与各个第二终端的第二移动轨迹中相同位置的重叠时长的平均值、各个第二终端的第二移动轨迹中位置的并集或者第二移动轨迹的并集、多个第二终端的平均活跃度分析结果、平均风险程度分析结果中的任意一种或多种。当每个第二终端的活跃度表现为数值时，多个第二终端的平均活跃度分析结果，可以是各个第二终端对应的活跃度数值的平均值；当每个第二终端的活跃度表现为等级时，可以是对不同第二终端对应的各个等级按比例进行加权计算，得到加权值，并对该加权值进行余弦分类处理，将得到的余弦分类结果所指示的等级作为多个第二终端的平均活跃度分析结果。平均风险程度分析结果，与平均活跃度分析结果类似，当每个第二 终端的风险程度表现为数值时，多个第二终端的平均风险程度分析结果，可以是各个第二终端对应的风险程度数值的平均值；当每个第二终端的风险程度表现为等级时，可以是对不同第二终端对应的各个等级按比例进行加权计算，得到加权值，并对该加权值进行余弦分类处理，将得到的余弦分类结果所指示的等级作为多个第二终端的平均风险程度分析结果。
在一些可能的实施方式中，数据分析网元网元所确定出的分析结果中，也可以包括第二终端的第三移动轨迹的信息分析结果，该第三移动轨迹的信息分析结果可以包括以下信息的任意一种或多种：
第三移动轨迹的信息对应的第二终端的标识信息(此时，所有第二终端的第二移动轨迹中均包含该第三移动轨迹)、第三移动轨迹的信息对应的第二终端的数量、第三移动轨迹的信息包含的各个第二位置的信息、第二终端位于第三移动轨迹的信息包含的第二位置所对应的时间的信息、第三移动轨迹的信息对应的第二终端的活跃度分析结果、所述第三移动轨迹的信息对应的UE2的风险分析结果。其中，第三移动轨迹的信息对应的第二终端，是指移动轨迹包含该第三移动轨迹的第二终端。本实施例中，第三移动轨迹的信息分析结果，与前述第二终端的第二移动轨迹的信息分析结果类似，具体可参见前述有关第二移动轨迹的信息分析结果的相关之处描述，在此不做赘述。
类似的，当第三移动轨迹的信息对应的第二终端的数量为多个时，第三移动轨迹的信息分析结果，可以包括该各个第二终端的第二移动轨迹的信息分析结果，和/或，对第三移动轨迹的信息对应的多个第二终端的第二移动轨迹的信息分析结果进行聚合处理所得到的聚合移动轨迹的信息分析结果。其中，第三移动轨迹信息对应的多个第二终端的聚合移动轨迹的信息分析结果，与前述多个第二终端的聚合移动轨迹的信息分析结果类似，具体可参见前述相关之处描述，在此不做赘述。
此外，数据分析网元向第一网元反馈的分析结果中，除了可以包括上述第二终端的相关信息，还可以包括第一终端的相关信息，如包括第一终端的第一移动轨迹的信息、第一终端的活跃度分析结果、以及第一终端的风险分析结果等信息中的任意一种或多种。
进一步的，当数据分析网元向第一网元反馈的分析结果中包括多种信息时，该分析结果中还可以包括分析类型标识信息，以便于利用该分析类型标识信息来标识出分析结果中所包含的信息为何种信息。如，当分析结果中包含第二终端的活跃度分析结果时，该分析结果中还可以包括活跃度分析结果的分析类型标识。
在一些可能的实施方式中，当第一网元向数据分析网元发送的请求消息中还包括关联层级信息时，第二终端的级别与关联层级信息所表征的终端的目标级别不一致时，数据分析网元还可以进一步根据第二终端的第二移动轨迹的信息，确定出与第二移动轨迹存在交集的移动轨迹所对应的下一级别的终端，从而确定出该下一级别的终端的相关信息，随分析结果一并反馈给数据分析网元。其中，根据第二移动轨迹的信息确定出下一级别的终端的相关信息具体实施方式，与上述根据第一移动轨迹的信息确定出第二终端的相关信息的具体实现方式类似，在此不做赘述。按照上述过程，可以逐步确定出目标级别的终端的相关信息。这样，数据分析网元向第一网元反馈的分析结果中，可以包含目标界别的终端的标识信息、目标级别终端的数量、目标级别终端的移动轨迹的信息分析结果、目标级别终 端的活跃度分析结果以及目标级别终端的风险分析结果；或者，数据分析网元向第一网元反馈的分析结果中，除了可以包含目标级别的相关信息以外，还可以包括初始级别终端(上述第一终端)至目标级别的前一级别终端的相关信息。
第一网元在接收到数据分析网元所发送的分析结果后，可以根据该分析结果，确定相应的处理策略，以便于第一网元执行该处理策略所对应的处理操作。比如，当第一网元接收到的分析结果中包含第二终端的标识时，第一网元可以向第二终端发送指示信息，以指示第二终端，其移动轨迹与第一移动轨迹存在交集，从而持有第二终端的用户可以获知其与持有第一终端的用户存在接触。具体的，在疫情监控场景中，当该分析结果中包含第二终端的标识以及第二终端的活跃度分析结果时，若第二终端的活跃度分析结果为“高”等级，表征持有该第二终端的用户存在较大可能性被感染，则第一网元可以根据第二终端的标识，向第二终端发送相应的预警信息，以告知该用户其与确诊用户曾经存在接触，从而便于该用户及时进行隔离或者治疗。
作为一种示例，当第一网元向数据分析网元发送的请求消息中包含第一指定区域信息和/或第一指定时间信息时，第一网元所请求的数据分析结果为第一指定区域信息和/或第一指定时间信息对应的分析结果，从而第一网元还可以根据该分析结果，确定第一指定区域信息和/或第一指定时间信息所对应的处理策略，以执行与该处理策略对应的处理操作。比如，第一网元可以向移动轨迹位于该第一指定区域信息所指示的区域内，和/或，移动轨迹处于第一指定时间信息所指示的时间段内的所有终端发送通知信息，以便于通知这些终端有关第二终端的相关信息，如通知这些终端有关第二终端在第一指定区域或者第一指定时间内的风险程度等。又或者，第一网元可以根据位于该第一指定区域信息所指示的区域内的第二终端数量，确定该区域的危险程度(通常情况下，第二终端数量越多，危险程度越大)，从而根据该区域的危险程度，采取相同的处理策略，其中，不同危险程度可以对应于不同的处理策略。
而当第一网元所接收到的分析结果中包含第三移动轨迹的信息分析结果时，第一网元可以根据该第三移动轨迹的信息分析结果确定第三移动轨迹的信息对应的处理策略，从而第一网元可以根据该处理策略执行相应的操作。比如，第一网元可以与该第三移动轨迹存在交集的所有终端，或者与该第三移动轨迹相距较近的所有终端发送通知消息，以便通知持有这些该终端的用户避免前往第三移动轨迹所包括的位置(也即第二终端所经过的位置)等。
本实施例中，数据分析网元是根据包含位置信息以及时间信息的第一移动轨迹的信息确定第二终端，而在其它可能的实施方式中，第一移动轨迹的信息也可以仅包括位置信息，此时，数据分析网元在确定第二终端的第二移动轨迹与第一移动轨迹存在交集时，在一种可能的实现方式中，数据分析网元具体可以是确定第一移动轨迹与第二移动轨迹之间是否存在相同的位置，若是，则确定第一移动轨迹与第二移动轨迹之间存在交集；在另一种可能的实现方式中，数据分析网元确定存在相同位置的基础上，进一步确定相同位置的数量上会否大于预设数量，若是，则确定这两个移动轨迹存在交集，而若不是，则确定这两个移动轨迹不存在交集。在另一种可能的实现方式中，数据分析网元确定第一移动轨迹与第二移动轨迹存在相同位置的基础上，进一步确定该相同位置是否在第一移动轨迹和/或第二 移动轨迹中连续，若是，则确定这两个移动轨迹存在交集，而若不是，则确定这两个移动轨迹不存在交集。在又一种可能的实现方式中，数据分析网元还可以根据前述第一指定时间信息确定在该第一指定时间信息所表征的时间段内，哪些终端所产生的移动轨迹以及与该第一移动轨迹存在交集。
本实施例中，用户可以随身携带有终端，则终端的移动轨迹也即为携带有该终端的对象的移动轨迹，这样，数据分析网元可以获取第一移动轨迹的信息，该第一移动轨迹的信息具体可以包括第一位置的信息以及该第一位置对应的时间信息；然后，数据分析网元可以根据该第一移动轨迹的信息，确定出第二终端的第二移动轨迹与该第一移动轨迹存在交集，由于当终端之间的移动轨迹存在交集时，通常可以认为终端之间存在直接或者间接的接触，从而数据分析网元在确定出第二终端后，可以向第一网元发送该第二终端对应的分析结果，该分析结果可以包括第二终端相关信息，例如可以是第二终端的标识信息、第二终端的数量、第二终端的移动轨迹的信息分析结果、第二终端的活跃度分析结果、第二终端的风险分析结果以及第三移动轨迹的信息分析结果中的任意一种或多种信息，以使得第一网元获得与该终端(直接或者间接)接触的第二终端的相关信息，其中，第三移动轨迹可以包括第一移动轨迹与第二移动轨迹之间重叠轨迹中的至少一部分。相比于人工排查方式，基于上述过程获得与第一移动轨迹存在交集的第二移动轨迹所对应的第二终端的分析结果的信息，可以提高检测效率并降低出错的可能性。
为了便于理解，下面结合疫情监控这一具体场景对本申请实施例的技术方案进行示例性说明。需要说明的是，图3所示的场景实施例仅作为一种示例性说明，并不用于限定本申请实施例的技术方案在具体实施时局限于图3所示示例。例如，本申请实施例的技术方案可以应用于除疫情监控的其它场景，或者可以对图3所示的步骤和/或信息内容酌情增加或删减，比如下述请求消息中可以只包含UE1的标识、分析类型标识信息、关联层级信息、第一指定区域信息、第一指定时间信息、判定条件中的任意一种或多种，部分实施方式的具体实现细节可以参照前述方案实施例中相关之处描述。该方法具体可以是包括：
S301：AF网元或NF网元向NWDAF网元发送请求消息，该请求消息中携带有指定的UE1的标识、分析类型标识信息、判定条件、关联层级信息、第一指定区域信息、第一指定时间信息。
用户通常会随身携带有诸如手机、可穿戴设备等终端设备，因此，当需要确定与持有UE1的用户存在(直接或者间接)接触的其它用户时，可以是利用各个用户所持有的UE之间的移动轨迹的信息来确定用户之间是否存在接触。因此，本实施例中，可以是利用UE1的相关信息来确定与UE1存在接触的UE2的相关信息。
具体实现时，可以是由网络中的AF网元或者NF网元向NDWAF网元发送请求消息，以请求与UE1存在接触的UE2的相关信息。在一些示例中，可以是由UE1触发AF网元或者NF网元请求NWDAF网元反馈UE1对应的分析结果，以确定UE1是否与某个(些)UE2在某个(些)位置处存在接触、在该位置处接触的时间信息(如开始接触的起始时间、结束时间以及接触时长等)等。在疫情监控场景中，若UE2被确定与某个(些)UE1存在移动轨迹的交集，则持有UE2的用户具有较大可能性被感染，从而基于UE1的移动轨迹的信息可以确定被UE1所感染的一个或者多个UE2。在另一些示例中，也可以是由UE2生成请求消 息，并通过AF网元或NF网元将该请求消息转发给NWDAF网元，并通过AF网元或NF网元将NWDAF网元反馈的分析结果转发给UE2。在疫情监控场景中，UE2通过发起请求消息并获得分析结果，可以确定UE2是否与某些确认感染疾病的用户所持有的UE1存在接触，以便于持有UE2的用户确认自己是否被感染以及被感染的风险。在又一些示例中，AF网元或者NF网元可以请求比对UE1以及UE2之间是否存在接触，则可以向数据分析网元发送包含UE1以及UE2的标识信息的请求消息，或者发送包含UE1的移动轨迹的信息以及UE2的移动轨迹的信息的请求消息，或者包括其中一个UE的的标识信息以及另一个UE的移动轨迹信息的请求消息，以请求数据分析网元确定UE1与UE2之间是否存在接触。比如，在疫情监控场景中，UE1与UE2分别为朋友/夫妻之间所持有的终端，则在其中一方被确认受感染后，通过确定UE1与UE2的移动轨迹之间是否存在交集，来确定另一方是否被感染和/或被感染的风险程度。
其中，NF网元，可以是AMF网元、UDM网元或者其它NWDAF网元等。当发起请求消息的网元为第三方的AF网元时，该请求消息可以是通过NEF网元传输至被请求的NWDAF网元中。进一步的，NEF网元在转发请求消息时，还可以将请求消息中所包含的NWDAF网元不可识别的外部信息映射转换成NWDAF网元可识别的内部信息，以便于NWDAF网元的信息识别。例如，请求消息中可以包含对应指定区域信息的地理位置信息，该地理位置信息可能具体表现为经纬度或者行政区域等，则NEF网元可以将该地理位置信息映射成NWDAF网元可识别的网络位置信息，如小区、跟踪区(tracking area，TA)等。又如，请求消息中包含UE1的标识信息为外部标识信息(如GPSI等)，则NEF网元可以将UE1的标识信息由外部标识信息转换成NWDAF网元可是别的内部标识信息(如SUPI等)。
此外，NEF网元还可以对第一网元进行鉴权。具体的，NEF网元可以判定第一网元是否具有获取分析结果的权限，若第一网元具有获取分析结果的权限，则确定向数据分析网元转发该请求消息，而若第一网元不具有获取分析结果的权限，则可以拒绝为第一网元转发该请求消息。例如，NEF网元可以先确定AF网元发送的请求消息中是否包含紧急指示信息，该紧急指示信息用于指示第一网元因紧急事件或公共安全事件而发送的该请求消息，若包含，则确定AF网元具有获取分析结果的权限，并为AF网元向数据分析网元转发该请求消息，而若请求消息中不包含紧急指示信息，则确定AF网元不具有获取分析结果的权限，从而NEF网元可以拒绝为AF网元向数据分析网元转发该请求消息。因此，NEF网元可以仅在收到紧急指示信息的情况下，向数据分析网元发送第一网元发送请求消息。同样，NWDAF网元也可以对第一网元进行鉴权，方法参考NEF对第一网元鉴权方法。
所指定的UE1，例如可以是疫情监控场景中确诊用户所持有的UE，以便于确定出与该UE1存在接触的其它UE2，而持有该UE2的用户存在较大可能性因为与该确诊用户接触而被感染；或者，所指定的UE1，可以是疫情监控场景中存在较大风险被感染的用户所持有的UE，以便于确定出与这些用户存在接触的其它用户等。该UE1的数量可以是一个或者多个，并且，当UE1的数量为多个时，AF或者NF网元即可以是请求NWDAF网元反馈分别与多个不同UE1存在接触的UE2的相关信息。作为一种示例，UE1的标识信息，具体可以是GPSI、SUPI、IMSI、IMEI、GEI、application user ID以及IP五元组信息中的任意一种或多种。
分析类型标识信息，可以用于指示向NWDAF网元请求哪种类型的分析结果。比如，请 求消息中可以包含请求UE2数量的分析类型标识，可以用于请求NWDAF网元反馈与UE1的移动轨迹存在重叠的UE2的数量；又比如，请求消息中可以包含请求UE2活跃度的分析类型标识，用于请求NWDAF网元反馈UE2的活跃度分析结果。在一些示例中，请求消息中可以包含一种或者多种分析类型标识信息，用于向NWDAF网元请求一种或者多种不同的内容。在又一种示例中，该请求消息还可以是包括上位的分析类型标识信息，即当请求消息中包括该上位的分析类型标识信息时，可以指示NWDAF网元反馈多种分析类型对应的分析结果，如同时包括上述UE2的标识、数量、第二移动轨迹的信息分析结果、活跃度分析结果以及风险分析结果等。
关联层级信息，可以用于指示与UE1的移动轨迹关联的UE的目标级别。示例性的，该关联层级信息可以表现为一个数值。其中，相邻两代UE(也即为相邻两个级别的终端)之间的关联具体可以是指这两代UE的移动轨迹存在交集。在疫情监控场景中，第一代UE(即UE1)可以是疾病确诊用户所持有的UE，第二代UE可以是与疾病确诊用户存在接触的用户(即疑似感染用户)所持有的UE，持有第三代UE的用户可以是与持有第二代UE的持有用户存在接触的用户，依次类推。当关联层级信息具体为数值N(N为大于1的正整数)时，AF网元或NF网元可以请求NWDAF网元反馈第N代UE对应的分析结果，或者反馈第一代UE至第N代UE中任一代UE对应的分析结果等。
实际应用的一些实施方式中，该关联层级信息也可以是预先配置于NDWAF网元中。这样，AF网元或者NF网元每次在请求NWDAF网元反馈UE1对应的分析结果时，无需向请求消息中添加关联层级信息，而NWDAF网元可以默认反馈第二代UE对应分析结果、第三代UE对应的分析结果至第N代UE对应的分析结果等。当然，当请求消息中携带有关联层级信息(如N为2)，并且，NWDAF网元预先配置有关联层级信息(如N为5)时，NWDAF网元可以以请求消息中所携带的关联层级信息的为准，反馈相应的分析结果(如仅反馈第二代UE对应的分析结果，而不反馈第三代至第五代分别对应的分析结果)。
第一指定区域信息，可以用于指示NWDAF网元反馈第一指定区域信息所表征的区域内对应的分析结果。在一些可能的实施方式中，该请求消息中还可以包括第二指定区域信息，该第二指定区域信息，可以用于确定位于第二指定区域内的UE1的移动轨迹，以便NWDAF网元基于该第二指定区域内的移动轨迹确定分析结果。在进一步可能的实施方式中，当请求消息中仅包括第一指定区域信息时，数据分析网元也可以是将UE1在第一指定区域内的移动轨迹作为第一移动轨迹。
第一指定时间信息，可以用于指示NWDAF网元反馈哪个时间段内的分析结果。在一些可能的实施方式中，该请求消息中还可以包括第二指定时间信息，该第二指定时间信息，可以用于确定UE1在第二指定时间信息所指示的时间段内的移动轨迹作为第一移动轨迹，以便于NWDAF网元基于UE1在该段时间所产生的移动轨迹确定分析结果。其中，第一指定时间信息或者第二指定时间信息，可以是历史时间的信息，也可以是当前时间的信息，也可以是未来时间的信息。在进一步可能的实施方式中，当请求消息中仅包括第一指定时间信息时，数据分析网元也可以是将UE1在第一指定时间信息所指示的时间段内所产生的移动轨迹作为第一移动轨迹。
判定条件，是指两个移动轨迹的是否存在交集的判定条件，当两个UE分别对应的移动 轨迹满足该判定条件时，则可以确定这两个UE的移动轨迹存在交集。其中，UE的移动轨迹是指UE依次所处于的各个网络位置所形成的轨迹。
在其它可能的实施例中，判定条件也可以是预先配置于NDWAF网元中，从而无需携带于请求消息中。这样，AF网元或者NF网元每次在请求NWDAF网元反馈UE1对应的分析结果时，可以无需在每次发送的请求消息中携带该判定条件。
作为一种可选的设计，该判定条件，也可以是作为NWDAF网元向AF或者NF网元报告分析结果的限定条件，即当NWDAF网元确定UE1与UE2的移动轨迹的信息满足上述判定条件时，NWDAF网元才向AF网元或者NF网元报告相应的分析结果。
本实施例中，是以AF网元或NF网元发送请求消息以请求获得UE1对应的分析结果为例进行示例性说明，在其它可能的实施例中，NWDAF也可以是主动向AF网元或NF网元反馈UE1对应的分析结果，比如，NWDAF可以周期性的反馈该UE1对应的分析结果，或者是在满足一定的报告条件下，NWDAF主动反馈UE1对应的分析结果等。
S302：NWDAF网元根据请求消息中所包含的UE1的标识，获取UE1的位置相关信息。
本实施例中，NWDAF可以根据请求消息中所包含的UE1的标识，从AF网元和/或NF网元中获取UE1对应的位置相关信息，其中，NF网元例如可以是AMF网元、RAN网元、OAM网元、GMLC(gateway mobile location center，网关移动位置中心)网元、LMF网元等网元。作为一种示例，NWDAF网元可以向这些网元发送获取UE1的位置相关信息的请求，以请求这些网元向NWDAF网元反馈UE1的位置相关信息。
在一些可能的设计中，其它网元向NWDAF网元反馈UE1的位置相关信息时，还可以向NWDAF网元反馈其它UE的位置相关信息。比如，当请求消息中包含第一指定区域信息时，位于第一指定区域内的其它UE可能与该UE1存在接触，因此，其它网元在向NWDAF网元反馈UE1的位置相关信息时，还可以向NWDAF反馈该第一指定区域内的其它UE的位置相关信息，以便于NWDAF确定第一指定区域中存在哪些UE与该UE1存在接触。又比如，当请求消息中包括第一指定时间信息时，其它网元可以向NWDAF网元反馈其它UE在该第一指定时间信息所指示的时间段内的位置相关信息。
S303：NWDAF网元根据UE1的位置相关信息确定UE1的第一移动轨迹的信息，该第一移动轨迹的信息包括第一位置的信息以及该第一位置对应的时间的信息。
本实施例中，根据UE1在移动过程中所位于的位置(以下称之为第一位置)以及对应时间，可以生成该UE1的第一移动轨迹的信息。S304：NWDAF网元根据请求消息中的判定条件，确定出与UE1的第一移动轨迹存在交集的第二移动轨迹所对应的UE2。
本实施例中，NWDAF网元可以是根据请求消息中所携带的判定条件，来确定出哪些UE(以下称之为UE2)的移动轨迹与该UE1的第一移动轨迹存在交集。其中，NWDAF网元所确定出的UE2可以是一个UE，也可以是多个UE。
本实施例中，假设UE2的移动轨迹(以下称之为第二移动轨迹)与第一移动轨迹存在交集，可以确定该UE2与UE1之间存在接触，也即可以确定持有该UE2的用户与持有该UE1的用户之间存在接触。本实施例中的所述的接触，并非局限于两个UE在物理上发生触碰，当两个UE并未在物理上相互触碰但是位于同一位置时，也可以认为两个UE之间存在接触。
作为一种示例，本实施例中，判定条件具体可以是如下判定条件中的任意一种或多种， 其中，UE2的第二移动轨迹的信息包括第二位置的信息以及第二位置对应的时间的信息：
(1)两个UE分别对应的移动轨迹中存在相同的位置。
此时，若NWDAF网元确定UE1的第一移动轨迹与UE2的第二移动轨迹中存在至少一个位置相同，则NWDAF网元可以确定这两个UE的移动轨迹存在交集。
(2)两个UE分别对应的移动轨迹中存在相同的位置，且该相同的位置对应的时间存在至少部分重叠。
此时，NWDAF网元若确定UE1的移动轨迹与UE2的移动轨迹中存在至少一个位置相同，并且，UE1处于该相同位置的时间与UE2处于该位置的时间存在至少部分重叠，则可以确定这两个UE的移动轨迹存在交集。
(3)两个UE分别对应的移动轨迹中存在相同的位置，且UE1与UE2位于该相同位置的起始时间的时间间隔小于预设时间间隔。
此时，NWDAF网元若确定UE1的移动轨迹与UE2的移动轨迹中存在至少一个位置相同，并且，UE1进入该相同位置的起始时间与UE2进入该相同位置的起始时间之间的时间间隔小于预设时间间隔，则可以确定这两个UE的移动轨迹存在交集。
在该实施方式中，可以根据UE1与UE2每次进入不同位置的起始时间之间的时间间隔，确定UE1与UE2的移动速度，从而可以进一步根据UE1以及UE2的移动速度，确定UE1与UE2是否位于同一交通工具，比如，确定UE1与UE2是否位于同一公交车上。
(4)两个UE分别对应的移动轨迹中存在相同的位置，且这两个移动轨迹中相同的位置的数量大于预设数量。
此时，NWDAF网元若确定UE1的移动轨迹与UE2的移动轨迹中存在至少一个位置相同，并且，相同位置的数量大于预设数量时，则可以确定这两个UE的移动轨迹存在交集。
(5)两个UE分别对应的移动轨迹中存在相同的位置，并且，该相同的位置在第一移动轨迹和/或第二移动轨迹中连续。
此时，NWDAF网元若确定UE1的移动轨迹与UE2的移动轨迹中存在至少一个位置相同，并且，相同位置在第一移动轨迹或第二移动轨迹中是连续的，则可以确定这两个UE的移动轨迹存在交集。
(6)两个UE分别对应的移动轨迹中存在相同的位置，且这两个移动轨迹中相同的位置对应的重叠时长大于预设时长。
此时，NWDAF网元若确定UE1的移动轨迹与UE2的移动轨迹中存在至少一个位置相同，并且，UE1与UE2处于该相同位置对应的重叠时长大于预设时长，则可以确定这两个UE的移动轨迹存在交集。
示例性的，两个移动轨迹中相同的位置对应的重叠时长大于预设时长的具体实现，可以是如下实施方式中的任意一种：
实施方式一：UE1与UE2的移动轨迹中相同的位置中存在至少一个位置对应的重叠时长大于预设时长。
实施方式二：UE1与UE2的移动轨迹中相同的位置中存在连续相同的位置(也即为UE1与UE2连续发生相同的位置变化)，并且该连续相同的位置中存在至少一个位置对应的重叠时长大于预设时长。
实施方式三：UE1与UE2的移动轨迹中相同的位置中存在相同的位置，并且，相同位置对应的重叠时长总和大于预设时长。实施方式四：UE1与UE2的移动轨迹中相同的位置中存在相同的位置，并且，相同位置中连续相同的位置对应的重叠时长总和大于预设时长。相对于实施方式三，实施方式四中进一步要求重叠时长的总和，为连续相同的位置的重叠时长总和。
当然，NWDAF网元也可以是结合上述四种实施方式中的任意多种实施方式来确定两个移动轨迹中相同的位置对应的重叠时长是否大于预设时长时，本实施例中对此并不进行限定。
S305：当UE2所表征的级别与请求消息中的关联层级信息所表征的目标级别不一致时，NWDAF网元确定其余各个关联级别的UE。
当UE2所表征的级别，并非是请求消息中的关联层级信息所表征的目标级别时，NWDAF网元还可以根据UE2的第二移动轨迹的信息，继续确定与UE2(第二代UE)的第二移动轨迹存在交集的移动轨迹所对应的第三代UE。并且，当第三代UE对应的级别并非是关联层级信息所表征的目标级别时，NWDAF网元还可以继续根据第三代UE的移动轨迹的信息，确定与第三代UE的移动轨迹存在交集的移动轨迹所对应的第四代UE。以此，可以确定出目标级别以内的各个关联级别的UE。
其中，根据UE2的第二移动轨迹的信息确定出第三代UE的具体实施方式，与根据UE1的第一移动轨迹的信息确定UE2的实施方式类似，可参照前述内容描述，在此不做赘述。类似的，确定第四代UE直至第N代UE的具体实施方式同样如此，N为关联层级信息所表征的目标级别数。
当UE2所表征的级别，与请求消息中的关联层级信息所表征的目标级别一致时，NWDAF网元在执行步骤S304后，直接执行步骤S306。
S306：NWDAF网元确定分析结果，该分析结果至少包括UE2的标识信息、UE2的数量、UE2的第二移动轨迹的信息分析结果、UE2的活跃度分析结果、UE2的风险分析结果以及第三移动轨迹的信息分析结果，其中，第三移动轨迹包括第一移动轨迹与第二移动轨迹之间重叠轨迹中的至少一部分。
NWDAF网元在确定出UE2后，可以生成相应的分析结果，所生成的分析结果至少可以包括UE2的标识信息、UE2的数量、UE2的第二移动轨迹的信息分析结果、UE2的活跃度分析结果、UE2的风险分析结果以及第三移动轨迹的信息分析结果中的任意一种或多种，本实施例中以包括上述多种信息为例。其中，第三移动轨迹，可以是第一移动轨迹与第二移动轨迹之间重叠轨迹中的至少一部分，具体可以是部分重叠的轨迹，也可以是全部重叠的轨迹。
可选的，当NWDAF网元生成的分析结果中包括UE2的标识信息，并且，UE2的数量为多个时，可以是以标识列表的形式反馈多个UE2的标识信息。
其中，UE2的第二移动轨迹的信息分析结果，可以包括UE2所位于的第二位置的信息、UE2位于该第二位置时所对应的停留时间的信息(如UE2进入第二位置的开始时间、离开第二位置的结束时间或各个第二位置对应的时间段等)、UE1的第一移动轨迹与UE2的第二移动轨迹中相同的位置的信息、UE1的第一移动轨迹与UE2的第二移动轨迹中相同的位置 所对应的重叠时间的信息(如UE1与UE2同时位于同一位置的时间段等)中的任意一种或多种。
UE2的活跃度分析结果，可以用于指示UE2在网络中移动性程度高低或者会话性程度高低。作为一种示例，UE2的活跃度分析结果，可以表现为具体的数值，例如，活跃度分析结果可以表现为1至100的数值，其中，数值越大，表征UE2在网络中的移动性程度或会话性程度越高，数值越小，表征UE2在网络中的移动性程度或者会话性程度越低；也可以表现为具体的等级，例如，活跃度分析结果可以表现为“高”、“较高”、“中等”、“较低”以及“低”(按照活跃度高低依次排列)五种等级等。
在其它示例中，UE2的活跃度分析结果，还可以表现为UE2在网络中的重注册次数，例如，UE2在移动过程中，可以在同一网络的不同注册区域中完成不同的注册过程，从而可以将UE2在网络中的重注册次数作为指示UE2在网络中移动性程度高低或者会话性程度高低的活跃度分析结果；进一步的，UE2在网络中的重注册次数，具体可以是UE2在预设时长内的重注册次数，从而UE2的活跃度分析结果具体可以表现为UE2在网络中的重注册频次等。
在又一种示例中，UE2的活跃度分析结果，还可以表现为UE2在网络中的位置变更次数，比如，当UE2的第二移动轨迹为cell 1→cell 2→cell3→cell 4时，UE2在网络中的位置变更次数为3；进一步的，UE2在网络中的位置变更次数，具体可以是UE2在预设时长内的位置变更次数，从而UE2的活跃度分析结果具体可以表现为UE2在网络中的位置变更频次等。
在又一种示例中，UE2的活跃度分析结果，也可以表现为UE2进入预设位置(也即为一个或者多个特定的位置)的次数，或者是UE2在预设时长内进入该预设位置的频次。
在又一种示例中，UE2的活跃度分析结果，也可以表现UE2处于预设位置时发起的业务数量，或者是UE2处于预设位置时所发起的业务次数，该业务可以是特定业务集合中所包括的特定业务，也可以是UE2可发起的任意业务。其中，UE2发起的业务数量可以与UE2发起的业务次数在数值上相等，即UE2每次所发起的业务均不同；或者，UE2发起的业务数量在数值上小于UE2发起的业务次数，如UE2针对于同一业务多次发起业务请求等。
示例性的，UE2的活跃度分析结果，可以包括指示UE2活跃度高低的数值、用于指示UE2活跃度高低的等级、UE2在网络中的重注册次数、UE2在所述网络中的位置变更次数、UE2进入预设位置的次数、UE2处于预设位置时发起的业务数、业务次数中的任意一种或多种信息。
在一些可选的实施方式中，NWDAF网元可以是根据UE2在网络中的重注册次数、UE2在所述网络中的位置变更次数、UE2进入预设位置的次数、UE2处于预设位置时发起的业务数和/或业务次数中的任意一种或多种信息，来确定出用于指示UE2活跃度高低的数值和/或等级。例如，当UE2在网络中的位置变更次数为10，大于等级“较高”所对应的位置变更次数阈值，同时小于等级“高”所对应的位置更变次数阈值时，NWDAF网元可以确定用于指示UE2活跃度高低的等级为“较高”。
在进一步可能的实施方式中，还可以根据UE2所处于的位置和/或UE2所发起的业务的不同对UE2的活跃度分析结果进行精细化的调节。在一种设计中，可以是为UE所处于的不 同位置设置不同的权重参数，比如，在疫情监控场景中，可以将疾病感染率较高的位置A设置较大的权重参数，将疾病感染率较低的位置B设置较小的权重参数，这样，位于位置A的UE的活跃度可以高于/大于位于位置B的UE的活跃度。在另一种设计中，也可以是为UE发起的不同业务配置不同的权重参数，比如，可以为A类型的业务(在疫情监控场景中例如可以是医疗业务等)设置较大的权重参数，为B类型的业务(例如可以是游戏业务等)设置较小的权重参数，从而发起A类型业务的UE所对应的活跃度高于/大于发起B类型业务的UE所对应的活跃度。
实际应用的一些场景中，该UE2的活跃度分析结果还可以用于间接地反映UE2与紧急事件的相关性，并且，活跃度较高的UE与紧急事件的相关性，可以高于活跃度较低的UE与紧急事件的相关性。例如，在疫情监控场景中，紧急事件可以表现为疑似被感染事件，当UE的活跃度较高时，表征其与紧急事件的相关性较大，也即为持有该UE的用户疑似被疾病感染的可能性相对较高；而当UE的活跃度较低时，表征其与紧急事件的相关性较低，持有该UE的用户疑似被疾病感染的可能性较低。进一步的，当UE2的活跃度分析结果与紧急事件的相关性表现为数值或等级时，若该数值大于预设数值，或者该等级高于预设等级，则NWDAF网元或其他网元(可预先从NWDAF获取UE2的活跃度分析结果)可以进一步执行针对于该紧急事件的预设处理操作，比如，可以是向UE2发送指示信息，以指示UE2的第二移动轨迹与UE1的第一移动轨迹存在交集。
UE2的风险分析结果，具体可以包括UE2的风险类别、风险程度以及风险解除时间中的任意一种或多种。
其中，可以利用UE2的风险类别，指示持有该UE2的用户所属的风险类别，如UE2可以被划分为较大风险的类别、较小风险的类别以及不存在风险的类别等，以用于指示持有该UE2的用户可以被划分为存在较大风险(如疫情监控场景中的被感染风险)的用户、存在较小风险的用户以及不存在风险的用户等。作为一种示例，该风险类别可以按照风险程度高低依次表现为第一类、第二类、第三类等，不同类别可以是根据UE2与紧急事件的相关性进行划分，如可以是根据活跃度分析结果所间接体现的UE2与紧急事件的相关性来为UE2进行风险类别划分等。其中，当风险分析结果指示持有UE2的用户属于第一类别时，可以表征UE2与紧急事件之间强相关，当风险分析结果指示持有UE2的用户属于第二类别时，可以表征UE2与紧急事件之间中等相关，当风险分析结果指示持有UE2的用户属于第三类别时，可以表征UE2与紧急事件之间弱相关。当然，UE2风险类别的具体实现不局限于上述示例。
风险程度，可以用于表征持有UE2的用户与紧急事件相关的风险程度的高低。其中，风险程度高时，可以表征用户与紧急事件相关可能性较高，如在疫情监控场景中，可以表征用户被感染的可能性较高，相应的，风险程度低时，可以表征用户被感染的可能性较低。在一些示例中，可以是定义不同的等级、数值等标识来表征风险程度的高低。比如，可以利用“高”、“中”、“低”以及“无”这四个等级作为表征风险程度高低的标识，其中，“高”即是指风险较高、“无”即是指没有风险等，其它以此类推。又比如，可以是利用字母或者数值作为风险程度高低的标识，如利用“A”、“B”、“C”以及“D”来依次表征高风险、中等风险、低风险以及没有风险，或者利用“3”、“2”、“1”以及“0”来依次表征高风险、 中等风险、低风险以及没有风险等。再比如，可以是数值的高低来表征风险程度的高低，如利用0至100之间的数值来表征风险程度的高低，并且，数值越大，表征风险程度越高，数值越小，表征风险程度越低。进一步的，当风险程度的高低采用不同等级进行表现时，NWDAF网元还可以根据表征UE2的风险程度的数值来确定风险程度的等级，如当数值位于70至100时，可以确定UE2的风险程度的等级为“高”，当数值位于30至70时，可以确定UE2的风险程度的等级为“中”等。对于表征风险程度高低的具体实现方式，本实施例并不进行限定。
风险解除时间，可以是指UE由当前风险程度达到不具有风险或者风险风度较低的时间。比如，在疫情监控场景中，若疾病的潜伏期为14天，则与UE1存在接触的UE2的风险解除时间可以为自接触之日起的第15天。可以理解，假设持有UE1的用户为确诊用户，则与确认用户存在接触的持有UE2的用户，若在渡过疾病潜伏期的14天后，第15天内不存在发病迹象，则可以认为该用户不具有发病风险(即该用户没有被感染)，从而可以将UE2与UE1之间接触后的第15天(或者是第15天之后的其它时间)作为UE2的风险解除时间。
进一步的，当UE2的数量为多个时，UE2的第二移动轨迹的信息分析结果，可以包括该各个UE2的移动轨迹的信息分析结果，也可以包括根据各个UE2的移动轨迹的信息分析结果进行聚合处理所得到的聚合移动轨迹的信息分析结果，当然，还可以同时包括这两种分析结果。其中，聚合移动轨迹的信息分析结果，可以包括UE1的第一移动轨迹中与各个UE2的移动轨迹存在交集的位置、UE1的第一移动轨迹与各个UE2的移动轨迹中相同位置的重叠时长的平均值、各个UE2的移动轨迹中位置的并集或者移动轨迹的并集中的任意一种或多种。
当UE2的数量为多个时，UE2的活跃度分析结果，可以包括该各个UE2的活跃度分析结果，也可以包括根据各个UE2的活跃度分析结果进行聚合处理所得到的聚合活跃度分析结果，当然，还可以同时包括这两种分析结果。聚合活跃度分析结果可以包括：多个UE2的平均活跃度分析结果或多个UE2的活跃度方差分析结果。其中，当每个UE2的活跃度表现为数值时，多个UE2的平均活跃度分析结果，可以是各个UE2对应的活跃度数值的平均值，而多个UE2的活跃度方差分析结果可以是各个UE2对应的活跃度数值的方差；当每个UE2的活跃度表现为等级时，可以是对不同UE2对应的各个等级按比例进行加权计算，得到加权值，并对该加权值进行余弦分类处理，将得到的余弦分类结果所指示的等级作为多个UE2的平均活跃度分析结果，而多个UE2的活跃度方差分析结果可以是各个UE2对应的活跃度等级对应的方差。
当UE2的数量为多个时，UE2的风险分析结果，可以包括该各个UE2的风险分析结果，也可以包括根据各个UE2的风险分析结果进行聚合处理所得到的聚合风险分析结果，当然，还可以同时包括这两种分析结果。聚合风险分析结果可以包括：多个UE2的平均风险分析结果或多个UE2的风险方差分析结果。平均风险程度分析结果，与平均活跃度分析结果类似，当每个UE2的风险程度表现为数值时，多个UE2的平均风险程度分析结果，可以是各个UE2对应的风险程度数值的平均值，而多个UE2的风险程度方差分析结果可以是各个UE2对应的风险程度数值的方差；当每个UE2的风险程度表现为等级时，可以是对不同UE2对应的各个等级按比例进行加权计算，得到加权值，并对该加权值进行余弦分类处理，将得 到的余弦分类结果所指示的等级作为多个UE2的平均风险程度分析结果，而多个UE2的风险程度方差分析结果可以是各个UE2对应的风险程度等级的方差。
NWDAF网元所确定出的分析结果中，也可以包括第三移动轨迹的信息分析结果，其中，第三移动轨迹包括所述第一移动轨迹和所述第二移动轨迹之间重叠轨迹中的至少一部分，该第三移动轨迹的信息分析结果可以包括以下信息的任意一种或多种：
第三移动轨迹的信息对应的UE2的标识信息、第三移动轨迹的信息对应的UE2的数量、第三移动轨迹的信息包含的各个位置的信息、第三移动轨迹的信息包含的位置所对应的时间的信息(例如可以是整个第三移动轨迹对应的起始时间、结束时间、时长；也可以是第三移动轨迹中每个位置的起始时间、结束时间，时长等)、第三移动轨迹的信息对应的UE2的活跃度分析结果、所述第三移动轨迹的信息对应的UE2的风险分析结果。其中，第三移动轨迹的信息对应的UE2，是指移动轨迹包含该第三移动轨迹的UE。比如，当UE1的第一移动轨迹为cell 1→cell 2→cell 3，且第三移动轨迹为cell 2→cell3时，若UE的移动轨迹为cell 2→cell3→cell4，则可以将该UE作为该第三移动轨迹的信息对应的UE2，而若UE的移动轨迹为cell 1→cell 2→cell 4，则可以不将该UE作为第三移动轨迹的信息对应的UE2。本实施例中，第三移动轨迹的信息分析结果，与前述UE2的第二移动轨迹的信息分析结果类似，不同点仅在于第三移动轨迹为第二移动轨迹的全部或者部分移动轨迹，并且该移动轨迹与第一移动轨迹重叠。具体可参见前述有关第二移动轨迹的信息分析结果的相关之处描述，在此不做赘述。
类似的，当第三移动轨迹的信息对应的UE2的数量为多个时，第三移动轨迹的信息对应的UE2的活跃度分析结果，可以包括第三移动轨迹的信息对应的各个UE2的活跃度分析结果，和/或，对第三移动轨迹的信息对应的多个UE2的活跃度分析结果进行聚合处理所得到的聚合活跃度分析结果。其中，第三移动轨迹信息对应的多个UE2的聚合活跃度分析结果，与前述多个UE2的聚合活跃度分析结果类似，不同点仅在于第三移动轨迹为第二移动轨迹的全部或者部分移动轨迹，并且该移动轨迹与第一移动轨迹重叠。具体可参见前述相关之处描述，在此不做赘述。
类似的，当第三移动轨迹的信息对应的UE2的数量为多个时，第三移动轨迹的信息对应的UE2的风险分析结果，可以包括第三移动轨迹的信息对应的各个UE2的风险分析结果，和/或，对第三移动轨迹的信息对应的多个UE2的风险分析结果进行聚合处理所得到的聚合风险分析结果。其中，第三移动轨迹信息对应的多个UE2的聚合风险分析结果，与前述多个UE2的聚合风险分析结果类似，不同点仅在于第三移动轨迹为第二移动轨迹的全部或者部分移动轨迹，并且该移动轨迹与第一移动轨迹重叠。具体可参见前述相关之处描述，在此不做赘述。
在其它可能的实施方式中，NWDAF网元所生成的分析结果除了包括UE2的相关信息(如上述标识信息、数量等)之外，还可以包括UE1的相关信息。UE1的相关信息，例如可以包括UE1的第一移动轨迹的信息分析结果、UE1的活跃度分析结果以及UE1的风险分析结果中的任意一种或多种等。特别的，当UE2的关联级别与关联层级信息所表征的目标级别并不一致时，NWDAF网元还可以参照上述过程根据UE2的第二移动轨迹的信息确定出第三代UE的相关信息(如第三代UE的标识信息、数量、移动轨迹的信息分析结果、活跃度分 析结果、风险分析结果等)、第四代UE的相关信息至目标级别的UE的相关信息等。此时，NWDAF网元所生成的分析结果中还可以包括第三代UE的相关信息至目标级别的UE的相关信息。其中，后一级别UE的相关信息，可以是根据前一级别UE的相关信息进行确定，其具体确定方式与上述确定UE2的标识信息、数量等相关信息的实施方式类似，具体可参照前述相关之处描述，在此不做赘述。
示例性的，NWDAF网元所生成的分析结果，可以包括如表格3中所示的内容。其中，表格3中的左边一列为分析结果所包括的信息内容，表格右边一列为对左侧信息内容的相应解读。
表3：
Figure PCTCN2021074374-appb-000002
S307：NWDAF网元向AF网元或NF网元发送响应消息，该响应消息至少包括该分析结果。
NWDAF网元在生成分析结果后，可以生成包含该分析结果的响应消息，并将该响应消息发送给AF网元或NF网元。其中，响应消息除了可以包括分析结果之外，还可以包括分析类型标识，以指示分析结果中的相应内容对应于哪种分析类型，如响应消息中可以包括分析类型标识1，用于标识活跃度分析结果，包括分析类型标识2，用于标识风险分析结果等；还可以包括第一指示区域信息和/或第一指定时间信息，以指示该分析结果为对应于第一指示区域的分析结果和/或对应于第一指定时间的分析结果。
示例性的，NWDAF网元可以通过NEF网元向第三方的AF网元反馈响应消息。NEF网元在转发响应消息的过程中，还可以将响应消息中所包含的AF网元不可识别的内部信息映射转换成AF网元可识别的外部信息，以便于AF网元的信息识别。比如，响应消息中可以包 含网络位置信息，该网络位置信息可能具体表现为小区、跟踪区等，则NEF网元可以将该网络位置信息映射成AF网元可识别的地理位置信息，如经纬度或者行政区域等。又比如，响应消息中可以包含网络内部标识信息，如作为UE2标识信息的SUPI等，则NEF网元可以将该网络内部标识信息映射成AF网元可识别的网络外部标识，如作为UE2标识信息的GPSI或application user ID等。
本实施例中，UE2的标识信息、UE2的数量、UE2的第二移动轨迹的信息分析结果、UE2的活跃度分析结果、UE2的风险分析结果、第三移动轨迹的信息分析结果以及其它关联级别的UE的相关信息，可以作为分析结果随响应消息一并反馈给AF网元或NF网元。而在其它实施例中，上述信息中的部分信息也可以单独进行反馈。比如，NWDAF网元反馈的分析结果中可以仅包括UE2的标识以及数量，然后，NWDAF网元可以单独反馈UE2的第二移动轨迹的信息分析结果、UE2的活跃度分析结果、UE2的风险分析结果、第三移动轨迹的信息分析结果以及其他关联级别的UE的相关信息中的一种或多种信息。
S308：AF网元或NF网元根据响应消息中的分析结果，执行相应的处理操作。
AF网元或NF网元在从接收到的响应消息中解析出分析结果后，可以根据该分析结果，确定相应的处理策略，以执行该处理策略所对应的处理操作。比如，在疫情监控场景中，当该分析结果中包含UE2的标识以及UE2的活跃度分析结果时，若UE2的活跃度分析结果为“高”等级，表征持有该UE2的用户存在较大可能性被感染，则AF网元或NF网元可以根据UE2的标识，向UE2发送相应的预警信息，以告知该用户及时进行隔离，或者将持有该UE2的用户确定为疑似被感染人员，并通知疫情防控的工作人员对该用户采取相应的隔离、消毒等防控措施。又比如，AF网元或NF网元可以根据分析结果中的UE2的第二移动轨迹的信息，确定重点防控区域等。再比如，当分析结果中包括第三移动轨迹的信息分析结果时，AF网元或NF网元可以向可以向第三移动轨迹的信息对应的所有UE2发送提示，以通知该第三移动轨迹的危险程度等。
上述场景实施例中，AF网元或者NF网元向NWDAF网元发送的请求消息中包含UE1的标识信息，在其他可能的实施方式中，AF网元或者NF网元也可以是向NWDAF网元包含移动轨迹的信息的请求消息。具体的，参阅图4，图4示出了本申请实施例中另一种通信方法的信令交互示意图，该方法具体可以是包括：
S401：AF网元或NF网元向NWDAF网元发送请求消息，该请求消息中携带有第一移动轨迹的信息、分析类型标识信息、判定条件、关联层级信息、第一指定区域信息、第一指定时间信息。
与图3所示的实施例不同的是，本实施例中，AF网元或NF网元发送的请求消息中可以携带有第一移动轨迹的信息。这样，NWDAF网元无需通过UE1的标识来获取第一移动轨迹的信息，当第一移动轨迹具体为UE1的移动轨迹时，可以无需通过UE1的标识确定第一移动轨迹的信息，从而可以保护用户的隐私。并且，本实施例中的第一移动轨迹的信息，并不限于为某个或者某些UE的移动轨迹的信息，也可以是任意指定的移动轨迹的信息。
该请求消息中所携带的分析类型标识信息、判定条件、关联层级信息、第一指定区域信息、第一指定时间信息，与上述方法实施例中步骤S301的实施方式类似，可参照前述相 关之处的描述，在此不做赘述。
S402：NWDAF网元从AF网元和/或NF网元中获取多个UE的位置相关信息。
本实施例中，NWDAF网元可以向AF网元、AMF网元、RAN网元、OAM网元、GMLC网元、LMF网元等网元发送获取多个UE的位置相关信息的请求，以请求这些网元向NWDAF网元反馈多个UE的位置相关信息。所获取的多个UE的位置相关信息，可以包括各个UE所处位置的信息、UE进入各个位置的时间、UE离开该位置的时间以及UE位于该位置的时长等。本实施例中，各个UE的位置相关信息，与前述方法实施例中获取UE1的位置相关信息类似，在此不做赘述。
进一步的，当NWDAF网元所接收到的请求消息中包含第一指定区域信息和/或第一指定时间信息时，NWDAF网元所获取各个UE的位置相关信息，具体可以是位于第一指定区域内的UE1的位置相关信息，和/或，在该第一指定时间内接入网络的UE的位置相关信息。
S403：NWDAF网元根据各个UE的位置相关信息确定各个UE的移动轨迹的信息，各个UE的移动轨迹的信息包括各自对应位置的信息以及该位置对应的时间的信息。
S404：NWDAF网元根据请求消息中的判定条件，确定出与第一移动轨迹存在交集的各个移动轨迹所对应的UE。
本实施例中，可以确定出与第一移动轨迹存在交集的移动轨迹对应的UE。其中，确定与第一移动轨迹存在交集的移动轨迹对应的UE的具体实现方式，与图3所示方法实施例中确定与第一移动轨迹存在交集的第二移动轨迹对应的UE2的具体实现方式类似，可参照前述相关之处的描述，在此不做赘述。
S405：当所确定出的UE所表征的级别与请求消息中的关联层级信息所表征的目标级别不一致时，NWDAF网元确定其余各个关联级别的UE。
S406：NWDAF网元确定分析结果，该分析结果至少包括所确定出的UE的标识信息、UE的数量、UE的移动轨迹的信息分析结果、UE的活跃度分析结果、UE的风险分析结果以及第三移动轨迹的信息分析结果，其中，第三移动轨迹包括第一移动轨迹与所确定出的UE的移动轨迹之间重叠轨迹中的至少一部分。
S407：NWDAF网元向AF网元或NF网元发送响应消息，该响应消息至少包括该分析结果。
S408：AF网元或NF网元根据响应消息中的分析结果，执行相应的处理操作
本实施例中，步骤S402至步骤S408的具体实现方式，与前述方法实施例中步骤S302至步骤S308的具体实现方式类似，本实施例中对此不做赘述，可参照前述相关之处描述。
此外，图4所示的实施例中，第一移动轨迹的信息包括第一位置的信息的第一位置对应的时间的信息，而在其它可能的实施方式中，AF网元或NF网元向NWDAF网元发送的第一移动轨迹的信息中也可以是仅包括第一位置的信息。此时，AF网元或NF网元获得分析结果的具体实施过程，与上述各实施例中AF网元或NF网元(即第一网元)获取分析结果的具体实施过程类似，其不同仅在于，NWDAF网元在确定第一移动轨迹与第二移动轨迹之间是否存在交集时，具体可以是确定第一移动轨迹与第二移动轨迹之间是否存在相同的位置，若是，则确定第一移动轨迹与第二移动轨迹之间存在交集，而若不是，则确定第一移动轨迹与第二移动轨迹之间不存在交集。或者，NWDAF网元确定存在相同位置的基础上， 可以进一步确定相同位置的数量上会否大于预设数量，若是，则确定这第一移动轨迹与第二移动轨迹存在交集，而若不是，则确定第一移动轨迹与第二移动轨迹不存在交集。或者，NWDAF网元确定第一移动轨迹与第二移动轨迹存在相同位置的基础上，进一步确定该相同位置是否在第一移动轨迹和/或第二移动轨迹中连续，若是，则确定这第一移动轨迹与第二移动轨迹存在交集，而若不是，则确定第一移动轨迹和/或第二移动轨迹不存在交集。
另外，基于上述各场景实施例，在其他可能的场景实施例中，NWDAF网元也可以是针对于两个特定的UE(即UE1和UE2)或者两个特定移动轨迹进行分析，确定这两个UE或这两个移动轨迹之间是否存在接触，其确定两个UE是否存在接触的具体实施方式与上述确定UE1与UE2的是否存在接触的具体实施方式类似，不同仅在于，NWDAF网元所接收到的请求消息中，可以包括UE1的标识信息以及UE2的标识信息，在获取UE1的第一移动轨迹以及UE2的第二移动轨迹时，NWDAF网元可以是根据请求消息中UE1的标识信息确定第一移动轨迹的信息，根据请求消息中的UE2的标识信息确定第二移动轨迹的信息；或者，请求消息中可以同时包括第一移动轨迹的信息，或者第二移动轨迹的信息；又或者，请求消息中，可以包括其中一个UE(如UE1)的标识信息，以及一个移动轨迹的信息(如UE2的移动轨迹的信息)，这样，NWDAF网元可以从请求消息中解析出其中一个移动轨迹的信息，并根据请求消息中的UE的标识信息，确定出相应的移动轨迹的信息(如UE1的移动轨迹的信息)，从而可以得到两个移动轨迹的信息。当然，对于各个移动轨迹，还可以利用指定时间信息和/或指定区域信息对移动轨迹的信息进行限制等，具体可以参见前述利用第一(或第二)指定区域信息和/或第一(或第二)指定时间信息来限定移动轨迹的信息的相关描述。
相应的，NWDAF网元所反馈的分析结果中，可以包含指示信息和/或其中一个UE的移动轨迹的信息分析结果，如UE2对应的第二移动轨迹的信息分析结果。其中，指示信息可以用于指示两个移动轨迹存在交集；其中一个UE的移动轨迹的信息分析结果，可以包括以下信息中的任意一种或多种：该UE的移动轨迹信息中包括的位置的信息、该位置对应的时间的信息、两个移动轨迹中相同位置的信息、两个移动轨迹中相同位置对应的重叠时间的信息。
此外，本申请实施例还提供了一种通信装置。参阅图5，图5示出了本申请实施例中一种通信装置的结构示意图，该装置500可以应用于数据分析网元，可以执行上述方法实施例中数据分析网元所执行的方法步骤。具体的，该装置500可以包括：接收单元501，处理单元502，发送单元503。该装置500还可以包括存储单元504。
接收单元501，用于接收第一移动轨迹的信息，所述第一移动轨迹的信息包括第一位置的信息以及所述第一位置对应的时间的信息；
处理单元502，用于确定第二终端的第二移动轨迹与所述第一移动轨迹存在交集；
发送单元503，用于向第一网元发送分析结果，所述分析结果包括以下信息的任意一种或多种：所述第二终端的标识信息、所述第二终端的数量、所述第二移动轨迹的信息分析结果、所述第二终端的活跃度分析结果、所述第二终端的风险分析结果、第三移动轨迹的信息分析结果，所述第三移动轨迹包括所述第一移动轨迹和所述第二移动轨迹之间重叠轨迹中的至少一部分。
装置500中的存储单元504，可以用于存储相应的数据，比如可以存储上述第一移动轨迹的信息、第二终端的第二移动轨迹以及分析结果等。可选的，存储单元504还可以存储下述可能的实施方式中接收单元501所接收到的数据，以及处理单元502处理得到的数据，而发送单元503可以发送存储单元504中的部分或者全部数据。
在一种可能的实施方式中，所述接收单元501，还用于接收来自所述第一网元的请求消息，所述请求消息用于向所述数据分析网元请求所述分析结果，所述请求消息中包括所述第一移动轨迹的信息，和/或，所述第一移动轨迹的信息对应的第一终端的标识信息。
在一种可能的实施方式中，所述请求消息中还包括第一指定区域信息和/或第一指定时间信息；
所述发送单元503，具体用于向所述第一网元发送所述第一指定区域信息和/或所述第一指定时间信息对应的分析结果。
在一种可能的实施方式中，所述请求消息中还包括第二指定区域信息和/或第二指定时间信息；
所述接收单元501，具体用于根据所述第一终端的标识信息以及所述第二指定区域信息和/或所述第二指定时间信息，获取所述第一移动轨迹的信息。
在一种可能的实施方式中，所述第二移动轨迹的信息包括第二位置的信息以及所述第二位置对应的时间的信息；
所述处理单元502，具体用于确定所述第二移动轨迹与所述第一移动轨迹中存在相同的位置；
或，确定所述第二移动轨迹与所述第一移动轨迹中存在相同的位置，且所述相同的位置对应的时间存在至少部分重叠。
在一种可能的实施方式中，所述第二移动轨迹的信息包括第二位置的信息以及所述第二位置对应的时间的信息；
所述处理单元502，具体用于确定所述第二移动轨迹与所述第一移动轨迹中存在至少一个相同的位置且所述相同的位置在所述第二移动轨迹与所述第一移动轨迹中对应的起始时间的时间间隔小于预设时间间隔。
在一种可能的实施方式中，所述相同的位置中包括多个位置，所述多个位置在所述第一移动轨迹和/或所述第二移动轨迹中是连续的。
在一种可能的实施方式中，所述相同的位置在所述第二移动轨迹与所述第一移动轨迹中对应的重叠时长大于预设时长。
在一种可能的实施方式中，所述相同的位置在所述第二移动轨迹与所述第一移动轨迹中对应的重叠时长大于预设时长，包括：
所述相同的位置中存在至少一个位置对应的重叠时长大于所述预设时长；
或，所述相同的位置中包括连续相同的位置，且所述连续相同的位置中存在至少一个位置对应的重叠时长大于所述预设时长；
或，所述相同的位置中包括多个位置且各个位置对应的重叠时长的总和大于所述预设时长；
或，所述相同的位置中包括连续相同的位置且所述连续相同的位置对应的重叠时长的 总和大于所述预设时长。
在一种可能的实施方式中，所述接收单元501，还用于从所述第一网元获取判定条件；
所述处理单元502，具体用于根据所述判定条件，确定所述第二移动轨迹与所述第一移动轨迹存在交集。
在一种可能的实施方式中，所述第三移动轨迹的信息分析结果包括以下信息的任意一种或多种：
所述第三移动轨迹的信息对应的所述第二终端的标识信息、所述第三移动轨迹的信息对应的所述第二终端的数量、所述第三移动轨迹的信息包含的位置的信息、所述第三移动轨迹的信息包含的位置对应的时间的信息、所述第三移动轨迹的信息对应的所述第二终端的活跃度分析结果、所述第三移动轨迹的信息对应的所述第二终端的风险分析结果。
在一种可能的实施方式中，所述第二移动轨迹的信息分析结果包括以下信息的任意一种或多种：
第二位置的信息、所述第二位置对应的时间的信息、所述第一移动轨迹与所述第二移动轨迹中相同位置的信息、所述第一移动轨迹与所述第二移动轨迹中相同位置对应的重叠时间的信息。
在一种可能的实施方式中，所述第二终端包括多个终端；所述第二移动轨迹的信息分析结果包括所述多个终端的聚合移动轨迹的信息分析结果，和/或，所述多个终端中每个终端的移动轨迹的信息分析结果；
所述第二终端的活跃度分析结果包括所述多个终端的聚合活跃度分析结果，和/或，所述多个终端中每个终端的活跃度分析结果；
所述第二终端的风险分析结果包括所述多个终端的聚合风险分析结果，和/或，所述多个终端中每个终端的风险分析结果。
在一种可能的实施方式中，所述请求消息还包括关联层级信息，其中，所述关联层级信息用于指示与所述第一移动轨迹关联的终端的目标级别，其中，相邻级别终端的移动轨迹存在交集，所述第一终端的级别为初始级别；所述分析结果还包括以下信息的任意一种或多种：所述目标级别终端的标识信息、所述目标级别终端的数量、所述目标级别终端的移动轨迹的信息分析结果、所述目标级别终端的活跃度分析结果以及所述目标级别终端的风险分析结果；所述目标级别终端的移动轨迹的信息，与所述目标级别的前一级别终端的移动轨迹的信息存在交集。
在一种可能的实施方式中，所述接收单元，具体用于根据所述第一终端的标识信息获取所述第一移动轨迹的信息。
在一种可能的实施方式中，所述相同的位置的数量大于预设数量。
在一种可能的实施方式中，所述第二终端的活跃度分析结果包括以下信息的任意一种或多种：
用于指示所述第二终端活跃度高低的数值、用于指示所述第二终端活跃度高低的等级、所述第二终端在网络中的重注册次数、所述第二终端在所述网络中的位置变更次数、所述第二终端进入预设位置的次数、所述第二终端处于预设位置时发起的业务数、所述第二终端处于预设位置时发起的业务次数。
在一种可能的实施方式中，所述第二终端的风险分析结果包括以下信息的任意一种或多种：
所述第二终端的风险类别、所述第二终端的风险程度、所述第二终端的风险解除时间。
或者，在其它可能的实施例中，图5所示装置中的接收单元501、处理单元502、发送单元503以及存储单元504也可以具有如下功用：
接收单元501，用于第一移动轨迹的信息，所述第一移动轨迹的信息包括位置的信息；
处理单元502，用于确定第二终端的第二移动轨迹与所述第一移动轨迹存在交集；
发送单元503，用于向第一网元发送分析结果，所述分析结果包括以下信息的任意一种或多种：
所述第二终端的标识信息、所述第二终端的数量、所述第二移动轨迹的信息分析结果、所述第二终端的活跃度分析结果、所述第二终端的风险分析结果、第三移动轨迹的信息分析结果，所述第三移动轨迹包括所述第一移动轨迹和所述第二移动轨迹之间重叠轨迹中的至少一部分。
装置500中的存储单元504，可以用于存储相应的数据，比如可以存储上述第一移动轨迹的信息、第二终端的第二移动轨迹以及上述分析结果等。可选的，存储单元504还可以存储下述可能的实施方式中接收单元501所接收到的数据，以及处理单元502处理得到的数据，而发送单元503可以发送存储单元504中的部分或者全部数据。
在一种可能的实施方式中，所述处理单元502，具体用于确定所述第二移动轨迹与所述第一移动轨迹存在相同的位置。
在一种可能的实施方式中，所述接收单元501，还用于接收来自所述第一网元的请求消息，所述请求消息用于向所述数据分析网元请求所述分析结果，所述请求消息中包括指定时间信息；
所述处理单元502，具体用于根据所述指定时间信息确定所述第二移动轨迹与所述第一移动轨迹存在交集。
在一种可能的实施方式中，所述处理单元，具体用于确定所述指定时间信息对应的时间内的第二移动轨迹与所述第一移动轨迹存在相同的位置。
在一种可能的实施方式中，所述第三移动轨迹的信息分析结果包括以下信息的任意一种或多种：
所述第三移动轨迹的信息对应的所述第二终端的标识信息、所述第三移动轨迹的信息对应的所述第二终端的数量、所述第三移动轨迹的信息包含的位置的信息、所述第三移动轨迹的信息包含的位置对应的时间的信息、所述第三移动轨迹的信息对应的所述第二终端的活跃度分析结果、所述第三移动轨迹的信息对应的所述第二终端的风险分析结果。
上述装置各模块之间的信息交互、执行过程等内容，由于与本申请实施例中方法实施例基于同一构思，其带来的技术效果与本申请实施例中方法实施例相同，为描述的方便和简洁，上述描述的装置、模块的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
此外，本申请实施例还提供了一种通信装置。参阅图6，图6示出了本申请实施例中一种通信装置的结构示意图，该装置600可以应用于第一网元，可以执行上述方法实施例 中第一网元所执行的方法步骤。具体的，该装置600可以包括：发送单元601、接收单元602以及存储单元603。该装置600还可以包括处理单元604。
发送单元601，用于向数据分析网元发送请求消息，所述请求消息中包括第一移动轨迹的信息，和/或，所述第一移动轨迹的信息对应的第一终端的标识信息，所述请求消息用于向所述数据分析网元请求第二终端对应的分析结果，所述第二终端的第二移动轨迹与所述第一移动轨迹存在交集；
接收单元602，用于接收来自所述数据分析网元的分析结果，所述分析结果包括以下信息的任意一种或多种：
所述第二终端的标识信息、所述第二终端的数量、所述第二移动轨迹的信息分析结果、所述第二终端的活跃度分析结果、所述第二终端的风险分析结果、第三移动轨迹的信息分析结果，所述第三移动轨迹包括所述第一移动轨迹和所述第二移动轨迹之间重叠轨迹中的至少一部分。
装置600中的存储单元603，可以用于存储相应的数据，比如可以存储上述请求消息以及分析结果等。可选的，存储单元603还可以存储下述各种可能的实施方式中接收单元601所接收到的数据，以及装置600还可以包括的处理单元在执行相应处理时所得到的数据，而发送单元601可以发送存储单元603中的部分或者全部数据。
在一种可能的实施方式中，所述分析结果包括所述第二终端的标识信息，所述发送单元601，还用于根据所述第二终端的标识信息向所述第二终端发送指示信息，所述指示信息用于指示所述第二移动轨迹与所述第一移动轨迹存在交集。
在一种可能的实施方式中，所述分析结果包括所述第三移动轨迹的信息分析结果；
所述处理单元604，用于根据所述第三移动轨迹的信息分析结果确定所述第三移动轨迹的信息对应的处理策略。
在一种可能的实施方式中，所述请求消息还包括判定条件，所述判定条件用于确定所述第二移动轨迹与所述第一移动轨迹存在交集。
在一种可能的实施方式中，所述判定条件包括：
所述第二移动轨迹与所述第一移动轨迹中存在相同的位置；
或，所述第二移动轨迹与所述第一移动轨迹中存在相同的位置，且所述相同的位置对应的时间存在至少部分重叠。
在一种可能的实施方式中，所述判定条件包括：
所述第二移动轨迹与所述第一移动轨迹中存在至少一个相同的位置且所述相同的位置在所述第二移动轨迹与所述第一移动轨迹中对应的起始时间的时间间隔小于预设时间间隔。
在一种可能的实施方式中，所述相同的位置中包括多个位置，所述多个位置在所述第一移动轨迹和/或所述第二移动轨迹中是连续的。
在一种可能的实施方式中，所述相同的位置在所述第二移动轨迹与所述第一移动轨迹中对应的重叠时长大于预设时长。
在一种可能的实施方式中，所述相同的位置在所述第二移动轨迹与所述第一移动轨迹中对应的重叠时长大于预设时长，包括：
所述相同的位置中存在至少一个位置对应的重叠时长大于所述预设时长；
或，所述相同的位置中包括连续相同的位置，且所述连续相同的位置中存在至少一个位置对应的重叠时长大于所述预设时长；
或，所述相同的位置中包括多个位置且各个位置对应的重叠时长的总和大于所述预设时长；
或，所述相同的位置中包括连续相同的位置且所述连续相同的位置对应的重叠时长的总和大于所述预设时长。
在一种可能的实施方式中，所述请求消息中包括所述关联层级信息，其中，所述关联层级信息用于指示与所述第一移动轨迹关联的终端的目标级别，其中，相邻级别终端的移动轨迹存在交集，所述第一终端的级别为初始级别；所述分析结果还包括以下信息的任意一种或多种：
所述目标级别终端的标识信息、所述目标级别终端的数量、所述目标级别终端的移动轨迹的信息分析结果、所述目标级别终端的活跃度分析结果以及所述目标级别终端的风险分析结果；所述目标级别终端的移动轨迹与所述目标级别的前一级别终端的移动轨迹存在交集。
在一种可能的实施方式中，所述请求消息中包括第一指定区域信息和/或第一所述指定时间信息，第一网元接收来自数据分析网元的分析结果，包括：
所述第一网元接收来自所述数据分析网元的所述第一指定区域信息和/或所述第一所述指定时间信息对应的所述分析结果。
在一种可能的实施方式中，所述处理单元604，还用于确定所述第一指定区域信息和/或所述第一所述指定时间信息对应的处理策略。
在一种可能的实施方式中，所述请求消息中还包括第二指定区域信息和/或第二指定时间信息，所述第一移动轨迹的信息为所述第一终端的标识信息对应的第一终端在所述第二指定区域信息和/或所述第二指定时间信息内的移动轨迹的信息。
在一种可能的实施方式中，所述第二移动轨迹的信息分析结果包括以下信息的任意一种或多种：
第二位置的信息、所述第二位置对应的时间的信息、所述第一移动轨迹与所述第二移动轨迹中相同的位置的信息、所述第一移动轨迹与所述第二移动轨迹中相同的位置对应的重叠时间的信息。
在一种可能的实施方式中，所述第二终端的活跃度分析结果包括以下信息的任意一种或多种：
用于指示所述第二终端活跃度高低的数值、用于指示所述第二终端活跃度高低的等级、所述第二终端在网络中的重注册次数、所述第二终端在所述网络中的位置变更次数、所述第二终端进入预设位置的次数、所述第二终端处于预设位置时发起的业务数、所述第二终端处于预设位置时发起的业务次数。
在一种可能的实施方式中，所述第二终端的风险分析结果包括以下信息的任意一种或多种：所述第二终端的风险类别、风险程度以及风险解除时间。
在一种可能的实施方式中，所述第二终端包括多个终端；
所述第二移动轨迹的信息分析结果包括所述多个终端的聚合移动轨迹的信息分析结果，和/或，所述多个终端中每个终端的移动轨迹的信息分析结果；
所述第二终端的活跃度分析结果包括所述多个终端的聚合活跃度分析结果，和/或，所述多个终端中每个终端的活跃度分析结果；
所述第二终端的风险分析结果包括所述多个终端的聚合风险分析结果，和/或，所述多个终端中每个终端的风险分析结果。
上述装置各模块之间的信息交互、执行过程等内容，由于与本申请实施例中方法实施例基于同一构思，其带来的技术效果与本申请实施例中方法实施例相同，为描述的方便和简洁，上述描述的装置、模块的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
在图5和图6所示的装置中，处理单元、接收单元、发送单元以及存储单元可以是在物理上相互分离的单元，也可以是集成到一个或者多个物理单元中，在此不做限定。
接收单元和发送单元用于实现该装置与其他单元或者网元的内容交互。发送单元可以是发送电路或者发送器。接收单元可以是接收电路或者接收器。发送单元和接收单元还可以是该通信装置的通信单元。发送单元和接收单元还可以是处理单元的通信接口或者收发电路。可选的，发送单元和接收单元可以是一个收发芯片。该通信装置也可以包括多个发送单元和多个接收单元。发送单元和接收单元还可以是一个或者多个收发单元的子单元。
处理单元用于实现通信装置对数据的处理。处理单元可以是处理电路，也可以是处理器。通信装置也可以包括多个处理单元或者处理单元包括多个子数据处理单元。具体的，处理器可以是一个单核(single-CPU)处理器，也可以是一个多核(multi-CPU)处理器。
存储单元可以是独立于处理单元的单元，也可以是处理单元中的存储单元，在此不做限定。通信装置也可以包括多个存储单元或者存储单元包括多个子存储单元。
此外，本申请实施例还提供了一种通信装置。其中，该通信转装置可以应用于上述方法实施例中所提及的第一网元或者数据分析网元。该通信装置可以包括处理器以及存储器，所述处理器与存储器耦合；
所述存储器用于存储计算机程序或指令；
所述处理器用于执行所述计算机程序或指令，使得上述方法实施例中第一网元所执行的通信方法被执行，或者是使得上述方法实施例中数据分析网元所执行的通信方法被执行。
在一些可能的实施方式中，所述处理器执行所述计算机程序或指令，也可以使得上述方法实施例中核心网网元所执行的通信方法被执行。
图7是一种通信装置的硬件结构示意图，可以是本申请实施例中的第一网元或数据分析网元。该通信装置包括至少一个处理器71(如图7中还可以包括处理器75等)、至少一个存储器72、至少一个通信接口73。处理器71、存储器72、和通信接口73相连，例如通过通信线路74相连，在本申请实施例中，处理器71可以包括一个CPU，如图7中处理器71可以仅包括CPU0，或者，处理器71也可以包括多个CPU，如图7中处理器71可以包括CPU0以及CPU1等，当然，处理器71还可以三个以上(包括三个)的CPU。可选的，通信装置还包括其它处理器，如图7中还可以包括处理器75，则其它处理器中也可以包括一个或者多个CPU。所述连接可包括各类接口、传输线或总线等，本实施例对此不做限定。通 信接口73用于使得通信装置通过通信链路，与其它通信设备相连，例如通信接口73可以是S1接口，或者是X2、Xn接口等。
其中，图7中所示的处理器71具体可以完成上述方法中数据分析网元或者第一网元处理的动作，存储器72可以完成上述方法中存储的动作，通信接口73可以完成上述方法中通信装置与和其他网元之间进行交互的动作，下面以图7所示的通信装置应用于数据分析网元为例进行示例性的说明：
处理器71可以确定第二终端的第二移动轨迹与第一移动轨迹存在交集。通信装置可以利用通信接口73接收第一移动轨迹的信息，并向第一网元发送分析结果。存储器72可以存储第一移动轨迹的信息以及分析结果等。其中，第一移动轨迹的信息以及分析结果中的具体内容具体可以参照其它实施例中相关之处的介绍。
本申请实施例中的处理器，例如处理器71，可以包括但不限于以下至少一种：中央处理单元(central processing unit，CPU)、微处理器、数字信号处理器(DSP)、微控制器(microcontroller unit，MCU)、或人工智能处理器等各类运行软件的计算设备，每种计算设备可包括一个或多个用于执行软件指令以进行运算或处理的核。该处理器可以是个单独的半导体芯片，也可以跟其他电路一起集成为一个半导体芯片，例如，可以跟其他电路(如编解码电路、硬件加速电路或各种总线和接口电路)构成一个SoC(片上系统)，或者也可以作为一个ASIC的内置处理器集成在所述ASIC当中，该集成了处理器的ASIC可以单独封装或者也可以跟其他电路封装在一起。该处理器除了包括用于执行软件指令以进行运算或处理的核外，还可进一步包括必要的硬件加速器，如现场可编程门阵列(field programmable gate array，FPGA)、PLD(可编程逻辑器件)、或者实现专用逻辑运算的逻辑电路。
本申请实施例中的存储器，可以包括如下至少一种类型：只读存储器(read-only memory，ROM)或可存储静态信息和指令的其他类型的静态存储设备，随机存取存储器(random access memory，RAM)或者可存储信息和指令的其他类型的动态存储设备，也可以是电可擦可编程只读存储器(Electrically erasable programmabler-only memory，EEPROM)。在某些场景下，存储器还可以是只读光盘(compact disc read-only memory，CD-ROM)或其他光盘存储、光碟存储(包括压缩光碟、激光碟、光碟、数字通用光碟、蓝光光碟等)、磁盘存储介质或者其他磁存储设备、或者能够用于携带或存储具有指令或数据结构形式的期望的程序代码并能够由计算机存取的任何其他介质，但不限于此。
存储器72可以是独立存在，与处理器71(以及处理器75)相连。可选的，存储器72可以和处理器71(以及处理器75)集成在一起，例如集成在一个芯片之内。其中，存储器72能够存储执行本申请实施例的技术方案的程序代码，并由处理器71来控制执行，被执行的各类计算机程序代码也可被视为是处理器71的驱动程序。例如，处理器71用于执行存储器72中存储的计算机程序代码，从而实现本申请实施例中的技术方案。
在上述实施例中，存储器存储的供处理器执行的指令可以以计算机程序产品的形式实现。计算机程序产品可以是事先写入在存储器中，也可以是以软件形式下载并安装在存储器中。
计算机程序产品包括一个或多个计算机指令。在计算机上加载和执行计算机程序指令 时，全部或部分地产生按照本申请实施例的流程或功能。计算机可以是通用计算机、专用计算机、计算机网络、或者其他可编程装置。计算机指令可以存储在计算机可读存储介质中，或者从一个计算机可读存储介质向另一计算机可读存储介质传输，例如，计算机指令可以从一个网站站点、计算机、服务器或数据中心通过有线(例如同轴电缆、光纤、数字用户线(DSL))或无线(例如红外、无线、微波等)方式向另一个网站站点、计算机、服务器或数据中心进行传输。计算机可读存储介质可以是计算机能够存储的任何可用介质或者是包括一个或多个可用介质集成的服务器、数据中心等数据存储设备。可用介质可以是磁性介质，(例如，软盘、硬盘、磁带)、光介质(例如，DVD)、或者半导体介质(例如固态硬盘solid state disk，SSD)等。
图8是本申请实施例提供的芯片80的硬件结构示意图。芯片80包括一个或两个以上(包括两个)处理器810和通信接口830。处理器810可以与通信接口830耦合相连，本申请实施例中，所述连接可包括各类接口、传输线或总线等，本实施例对此不做限定。通信接口830用于使得芯片80通过通信链路，与其它通信设备相连。
可选的，该芯片80还包括存储器840，该存储器840可以与处理器810和通信接口830相连，例如通过通信线路820相连。存储器840可以包括只读存储器和随机存取存储器，并向处理器810提供操作指令和数据。存储器840的一部分还可以包括非易失性随机存取存储器(non-volatile random access memory，NVRAM)。
在一些实施方式中，存储器840存储了如下的元素，执行模块或者数据结构，或者他们的子集，或者他们的扩展集。
在本申请实施例中，通过调用存储器840存储的操作指令(该操作指令可存储在操作系统中)，执行相应的操作。
其中，图8中所示的处理器810具体可以完成上述方法中数据分析网元或者第一网元处理的动作，存储器840可以完成上述方法中存储的动作，通信接口830可以完成上述方法中与和其他网元(或其他网元中的模块)之间进行交互的动作，下面以图8所示的芯片应用于数据分析网元为例进行示例性的说明：
处理器810可以确定第二终端的第二移动轨迹与第一移动轨迹存在交集。通信装置可以利用通信接口830接收第一移动轨迹的信息，并向第一网元发送分析结果。存储器820可以存储第一移动轨迹的信息以及分析结果等。其中，第一移动轨迹的信息以及分析结果中的具体内容具体可以参照其它实施例中相关之处的介绍。
本申请实施例还提供了一种计算机可读存储介质。上述实施例中描述的方法可以全部或部分地通过软件、硬件、固件或者其任意组合来实现。如果在软件中实现，则功能可以作为一个或多个指令或代码存储在计算机可读介质上或者在计算机可读介质上传输。计算机可读介质可以包括计算机存储介质和通信介质，还可以包括任何可以将计算机程序从一个地方传送到另一个地方的介质。存储介质可以是可由计算机访问的任何目标介质。
作为一种可选的设计，计算机可读介质可以包括RAM，ROM，EEPROM，CD-ROM或其它光盘存储器，磁盘存储器或其它磁存储设备，或目标于承载的任何其它介质或以指令或数据结构的形式存储所需的程序代码，并且可由计算机访问。而且，任何连接被适当地称为计算机可读介质。例如，如果使用同轴电缆，光纤电缆，双绞线，数字用户线(DSL)或无线 技术(如红外，无线电和微波)从网站，服务器或其它远程源传输软件，则同轴电缆，光纤电缆，双绞线，DSL或诸如红外，无线电和微波之类的无线技术包括在介质的定义中。如本文所使用的磁盘和光盘包括光盘(CD)，激光盘，光盘，数字通用光盘(DVD)，软盘和蓝光盘，其中磁盘通常以磁性方式再现数据，而光盘利用激光光学地再现数据。上述的组合也应包括在计算机可读介质的范围内。
本申请实施例还提供了一种计算机程序产品。上述实施例中描述的方法可以全部或部分地通过软件、硬件、固件或者其任意组合来实现。如果在软件中实现，可以全部或者部分得通过计算机程序产品的形式实现。计算机程序产品包括一个或多个计算机指令。在计算机上加载和执行上述计算机程序指令时，全部或部分地产生按照上述方法实施例中描述的流程或功能。上述计算机可以是通用计算机、专用计算机、计算机网络、基站、终端或者其它可编程装置。
需要说明的是，本申请中“的(英文：of)”，相应的“(英文corresponding，relevant)”和“对应的(英文：corresponding)”有时可以混用，应当指出的是，在不强调其区别时，其所要表达的含义是一致的。
需要说明的是，本申请实施例中，“示例性的”或者“例如”等词用于表示作例子、例证或说明。本申请实施例中被描述为“示例性的”或者“例如”的任何实施例或设计方案不应被解释为比其他实施例或设计方案更优选或更具优势。确切而言，使用“示例性的”或者“例如”等词旨在以具体方式呈现相关概念。
本申请中，“至少一个”是指一个或者多个。“多个”是指两个或两个以上。“和/或”，描述关联对象的关联关系，表示可以存在三种关系，例如，A和/或B，可以表示：单独存在A，同时存在A和B，单独存在B的情况，其中A，B可以是单数或者复数。字符“/”一般表示前后关联对象是一种“或”的关系。“以下至少一项(个)”或其类似表达，是指的这些项中的任意组合，包括单项(个)或复数项(个)的任意组合。例如，a，b，或c中的至少一项(个)，可以表示：a，b，c，a-b，a-c，b-c，或a-b-c，其中a，b，c可以是单个，也可以是多个。另外，为了便于清楚描述本申请实施例的技术方案，在本申请的实施例中，采用了“第一”、“第二”等字样对功能和作用基本相同的相同项或相似项进行区分。本领域技术人员可以理解“第一”、“第二”等字样并不对数量和执行次序进行限定，并且“第一”、“第二”等字样也并不限定一定不同。
本申请实施例描述的系统架构以及业务场景是为了更加清楚的说明本申请实施例的技术方案，并不构成对于本申请实施例提供的技术方案的限定，本领域普通技术人员可知，随着网络架构的演变和新业务场景的出现，本申请实施例提供的技术方案对于类似的技术问题，同样适用。

Claims (29)

  1. 一种通信方法，其特征在于，所述方法包括：
    数据分析网元获取第一移动轨迹的信息，所述第一移动轨迹的信息包括第一位置的信息以及所述第一位置对应的时间的信息；
    所述数据分析网元确定第二终端的第二移动轨迹与所述第一移动轨迹存在交集；
    所述数据分析网元向第一网元发送分析结果，所述分析结果包括以下信息的任意一种或多种：所述第二终端的标识信息、所述第二终端的数量、所述第二移动轨迹的信息分析结果、所述第二终端的活跃度分析结果、所述第二终端的风险分析结果、第三移动轨迹的信息分析结果，所述第三移动轨迹包括所述第一移动轨迹和所述第二移动轨迹之间重叠轨迹中的至少一部分。
  2. 根据权利要求1所述的方法，其特征在于，所述方法还包括：
    所述数据分析网元接收来自所述第一网元的请求消息，所述请求消息用于向所述数据分析网元请求所述分析结果，所述请求消息中包括所述第一移动轨迹的信息，和/或，所述第一移动轨迹的信息对应的第一终端的标识信息。
  3. 根据权利要求2所述的方法，其特征在于，所述请求消息中还包括第一指定区域信息和/或第一指定时间信息，所述数据分析网元向第一网元发送分析结果，包括：
    所述数据分析网元向所述第一网元发送所述第一指定区域信息和/或所述第一指定时间信息对应的分析结果。
  4. 根据权利要求2或3所述的方法，其特征在于，所述请求消息中还包括第二指定区域信息和/或第二指定时间信息；
    所述数据分析网元获取第一移动轨迹的信息，包括：
    所述数据分析网元根据所述第一终端的标识信息以及所述第二指定区域信息和/或所述第二指定时间信息，获取所述第一移动轨迹的信息。
  5. 根据权利要求1至4任一项所述的方法，其特征在于，所述第二移动轨迹的信息包括第二位置的信息以及所述第二位置对应的时间的信息，所述数据分析网元确定第二终端的第二移动轨迹与所述第一移动轨迹存在交集，包括：
    所述数据分析网元确定所述第二移动轨迹与所述第一移动轨迹中存在相同的位置；
    或，
    所述数据分析网元确定所述第二移动轨迹与所述第一移动轨迹中存在相同的位置，且所述相同的位置对应的时间存在至少部分重叠。
  6. 根据权利要求1至4任一项所述的方法，其特征在于，所述第二移动轨迹的信息包括第二位置的信息以及所述第二位置对应的时间的信息，所述数据分析网元确定第二终端的第二移动轨迹与所述第一移动轨迹存在交集，包括：
    所述数据分析网元确定所述第二移动轨迹与所述第一移动轨迹中存在至少一个相同的位置且所述相同的位置在所述第二移动轨迹与所述第一移动轨迹中对应的起始时间的时间间隔小于预设时间间隔。
  7. 根据权利要求5或6所述的方法，其特征在于，所述相同的位置中包括多个位置，所述多个位置在所述第一移动轨迹和/或所述第二移动轨迹中是连续的。
  8. 根据权利要求5至7任一项所述的方法，其特征在于，所述相同的位置在所述第二移动轨迹与所述第一移动轨迹中对应的重叠时长大于预设时长。
  9. 根据权利要求8所述的方法，其特征在于，所述相同的位置在所述第二移动轨迹与所述第一移动轨迹中对应的重叠时长大于预设时长，包括：
    所述相同的位置中存在至少一个位置对应的重叠时长大于所述预设时长；
    或，所述相同的位置中包括连续相同的位置，且所述连续相同的位置中存在至少一个位置对应的重叠时长大于所述预设时长；
    或，所述相同的位置中包括多个位置且各个位置对应的重叠时长的总和大于所述预设时长；
    或，所述相同的位置中包括连续相同的位置且所述连续相同的位置对应的重叠时长的总和大于所述预设时长。
  10. 根据权利要求1至9任一项所述的方法，其特征在于，所述方法还包括：
    所述数据分析网元从所述第一网元获取判定条件；
    所述数据分析网元确定第二终端的第二移动轨迹与所述第一移动轨迹存在交集，包括：
    所述数据分析网元根据所述判定条件，确定所述第二移动轨迹与所述第一移动轨迹存在交集。
  11. 根据权利要求1至10任一项所述的方法，其特征在于，所述第三移动轨迹的信息分析结果包括以下信息的任意一种或多种：
    所述第三移动轨迹的信息对应的所述第二终端的标识信息、所述第三移动轨迹的信息对应的所述第二终端的数量、所述第三移动轨迹的信息包含的位置的信息、所述第三移动轨迹的信息包含的位置对应的时间的信息、所述第三移动轨迹的信息对应的所述第二终端的活跃度分析结果、所述第三移动轨迹的信息对应的所述第二终端的风险分析结果。
  12. 根据权利要求1至11任一项所述的方法，其特征在于，所述第二移动轨迹的信息分析结果包括以下信息的任意一种或多种：
    第二位置的信息、所述第二位置对应的时间的信息、所述第一移动轨迹与所述第二移动轨迹中相同位置的信息、所述第一移动轨迹与所述第二移动轨迹中相同位置对应的重叠时间的信息。
  13. 根据权利要求1至12任一项所述的方法，其特征在于，所述第二终端包括多个终端；
    所述第二移动轨迹的信息分析结果包括所述多个终端的聚合移动轨迹的信息分析结果，和/或，所述多个终端中每个终端的移动轨迹的信息分析结果；
    所述第二终端的活跃度分析结果包括所述多个终端的聚合活跃度分析结果，和/或，所述多个终端中每个终端的活跃度分析结果；
    所述第二终端的风险分析结果包括所述多个终端的聚合风险分析结果，和/或，所述多个终端中每个终端的风险分析结果。
  14. 一种通信装置，其特征在于，包括：
    接收单元，用于接收第一移动轨迹的信息，所述第一移动轨迹的信息包括第一位置的信息以及所述第一位置对应的时间的信息；
    处理单元，用于确定第二终端的第二移动轨迹与所述第一移动轨迹存在交集；
    发送单元，用于向第一网元发送分析结果，所述分析结果包括以下信息的任意一种或多种：所述第二终端的标识信息、所述第二终端的数量、所述第二移动轨迹的信息分析结果、所述第二终端的活跃度分析结果、所述第二终端的风险分析结果、第三移动轨迹的信息分析结果，所述第三移动轨迹包括所述第一移动轨迹和所述第二移动轨迹之间重叠轨迹中的至少一部分。
  15. 根据权利要求14所述的装置，其特征在于，所述接收单元，还用于接收来自所述第一网元的请求消息，所述请求消息用于向所述数据分析网元请求所述分析结果，所述请求消息中包括所述第一移动轨迹的信息，和/或，所述第一移动轨迹的信息对应的第一终端的标识信息。
  16. 根据权利要求15所述的装置，其特征在于，所述请求消息中还包括第一指定区域信息和/或第一指定时间信息；
    所述发送单元，具体用于向所述第一网元发送所述第一指定区域信息和/或所述第一指定时间信息对应的分析结果。
  17. 根据权利要求15或16所述的装置，其特征在于，所述请求消息中还包括第二指定区域信息和/或第二指定时间信息；
    所述接收单元，具体用于根据所述第一终端的标识信息以及所述第二指定区域信息和/或所述第二指定时间信息，获取所述第一移动轨迹的信息。
  18. 根据权利要求14至17任一项所述的装置，其特征在于，所述第二移动轨迹的信息包括第二位置的信息以及所述第二位置对应的时间的信息；
    所述处理单元，具体用于确定所述第二移动轨迹与所述第一移动轨迹中存在相同的位置；
    或，确定所述第二移动轨迹与所述第一移动轨迹中存在相同的位置，且所述相同的位置对应的时间存在至少部分重叠。
  19. 根据权利要求14至17任一项所述的装置，其特征在于，所述第二移动轨迹的信息包括第二位置的信息以及所述第二位置对应的时间的信息；
    所述处理单元，具体用于确定所述第二移动轨迹与所述第一移动轨迹中存在至少一个相同的位置且所述相同的位置在所述第二移动轨迹与所述第一移动轨迹中对应的起始时间的时间间隔小于预设时间间隔。
  20. 根据权利要求18或19所述的装置，其特征在于，所述相同的位置中包括多个位置，所述多个位置在所述第一移动轨迹和/或所述第二移动轨迹中是连续的。
  21. 根据权利要求18至20任一项所述的装置，其特征在于，所述相同的位置在所述第二移动轨迹与所述第一移动轨迹中对应的重叠时长大于预设时长。
  22. 根据权利要求21所述的装置，其特征在于，所述相同的位置在所述第二移动轨迹与所述第一移动轨迹中对应的重叠时长大于预设时长，包括：
    所述相同的位置中存在至少一个位置对应的重叠时长大于所述预设时长；
    或，所述相同的位置中包括连续相同的位置，且所述连续相同的位置中存在至少一个位置对应的重叠时长大于所述预设时长；
    或，所述相同的位置中包括多个位置且各个位置对应的重叠时长的总和大于所述预设时长；
    或，所述相同的位置中包括连续相同的位置且所述连续相同的位置对应的重叠时长的总和大于所述预设时长。
  23. 根据权利要求14至22任一项所述的装置，其特征在于，所述接收单元，还用于从所述第一网元获取判定条件；
    所述处理单元，具体用于根据所述判定条件，确定所述第二移动轨迹与所述第一移动轨迹存在交集。
  24. 根据权利要求14至23任一项所述的装置，其特征在于，所述第三移动轨迹的信息分析结果包括以下信息的任意一种或多种：
    所述第三移动轨迹的信息对应的所述第二终端的标识信息、所述第三移动轨迹的信息对应的所述第二终端的数量、所述第三移动轨迹的信息包含的位置的信息、所述第三移动轨迹的信息包含的位置对应的时间的信息、所述第三移动轨迹的信息对应的所述第二终端的活跃度分析结果、所述第三移动轨迹的信息对应的所述第二终端的风险分析结果。
  25. 根据权利要求14至24任一项所述的装置，其特征在于，所述第二移动轨迹的信息分析结果包括以下信息的任意一种或多种：
    第二位置的信息、所述第二位置对应的时间的信息、所述第一移动轨迹与所述第二移动轨迹中相同位置的信息、所述第一移动轨迹与所述第二移动轨迹中相同位置对应的重叠时间的信息。
  26. 根据权利要求14至25任一项所述的装置，其特征在于，所述第二终端包括多个终端；
    所述第二移动轨迹的信息分析结果包括所述多个终端的聚合移动轨迹的信息分析结果，和/或，所述多个终端中每个终端的移动轨迹的信息分析结果；
    所述第二终端的活跃度分析结果包括所述多个终端的聚合活跃度分析结果，和/或，所述多个终端中每个终端的活跃度分析结果；
    所述第二终端的风险分析结果包括所述多个终端的聚合风险分析结果，和/或，所述多个终端中每个终端的风险分析结果。
  27. 一种通信装置，其特征在于，包括处理器和存储器，所述存储器用于存储计算机程序或指令，所述处理器用于执行所述计算机程序或指令，使得权利要求1至13任一所述的方法被执行。
  28. 一种计算机可读存储介质，包括指令或计算机程序，当其在计算机上运行时，使得计算机执行以上权利要求1至13任一所述的方法。
  29. 一种通信系统，其特征在于，所述系统包括用于执行如权利要求1至13任一所述的数据分析网元以及用于与所述数据分析网元进行通信的第一网元。
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