CN113543015A

CN113543015A - Communication method, device and system

Info

Publication number: CN113543015A
Application number: CN202010287410.4A
Authority: CN
Inventors: 崇卫微; 吴晓波; 辛阳
Original assignee: Huawei Technologies Co Ltd
Current assignee: Huawei Technologies Co Ltd
Priority date: 2020-04-13
Filing date: 2020-04-13
Publication date: 2021-10-22
Also published as: WO2021208563A1

Abstract

The application discloses a communication method, a device and a system, comprising: the data analysis network element obtains information of a first movement track, the information of the first movement track comprises information of a first position and information of time corresponding to the first position, determines that an intersection exists between a second movement track of a second terminal and the first movement track, and sends an analysis result to the first network element, wherein the analysis result comprises any one or more of the following information: the identification information and the number of the second terminals, the information analysis result of the second movement track, the activity analysis result, the risk analysis result and the information analysis result of the third movement track, wherein the third movement track comprises at least one part of the overlapping track between the first movement track and the second movement track. The data analysis network element obtains the information of the analysis result of the second terminal corresponding to the second movement track with intersection with the first movement track, so that the detectable efficiency can be improved, and the possibility of errors can be reduced.

Description

Communication method, device and system

Technical Field

The present application relates to the field of communications technologies, and in particular, to a communication method, apparatus, and system.

Background

For the emergent event, information acquisition personnel need to go offline to check information of related users contacting the emergent event in order to obtain the information of the users related to the emergent event. For example, in order to troubleshoot users related to an emergency event, information gathering personnel need to register from home to home whether a user is related to an emergency event occurring in a certain area at a certain time. In the method, the information acquisition personnel can acquire whether the user is related to the emergency or not through the offline information collection mode, so that the efficiency is low and mistakes are easily made.

Disclosure of Invention

The embodiment of the application provides a communication method, a communication device and a communication system, and user-related information related to an emergency event is timely determined, so that the detection efficiency is improved, and the possibility of errors is reduced.

In a first aspect, an embodiment of the present application provides a communication method, including: a data analysis network element acquires information of a first moving track, wherein the information of the first moving track comprises information of a first position and information of time corresponding to the first position; the data analysis network element determines that an intersection exists between a second movement track of a second terminal and the first movement track; the data analysis network element sends an analysis result to the first network element, wherein the analysis result comprises any one or more of the following information: the identification information of the second terminal, the number of the second terminals, 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 a third movement track, where the third movement track includes at least a part of an overlapping track between the first movement track and the second movement track.

In this embodiment, the data analysis network element may obtain, according to the information of the first movement trajectory, information of an analysis result of the second terminal corresponding to the second movement trajectory having an intersection with the first movement trajectory, so that the detection efficiency is improved, and the possibility of an error is reduced.

The first network element may 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, for example, one NWDAF network element in the network requests another NWDAF network element for a corresponding analysis result, and so on. The first network element may also be a terminal, for example, the UE may request the analysis result from the data analysis network element.

In one possible embodiment, the method further comprises: the data analysis network element receives a request message from the first network element, where the request message is used to request the data analysis network element for the analysis result, and the request message includes information of the first movement track and/or identification information of the first terminal corresponding to the information of the first movement track. In this embodiment, the first network element may request the data analysis network element for the corresponding analysis result by means of a request message. The first network element may add the identification information of the first terminal to the request message, so that the data analysis network element may determine, according to the identification information of the first terminal, information of a first movement trajectory corresponding to the first terminal, so that the data analysis network element obtains a 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 track to the request message, so that the data analysis network element may directly analyze the information of the first movement track from the request message, and because the data analysis network element does not need the identification information of the terminal in the process of acquiring the information of the first movement track, the privacy of the user may be effectively protected (i.e., the leakage of the identification information of the terminal used by the user may be avoided as much as possible), and the efficiency of feeding back the analysis result by the data analysis network element may also be improved to a certain extent.

In a possible implementation, the request message further includes association level information, where the association level information is used to indicate a target level of a terminal associated with the first movement trajectory, where movement trajectories of neighboring level terminals have an intersection, and the level of the first terminal is an initial level; the analysis results further include any one or more of the following information: the identification information of the target level terminals, the number of the target level terminals, the information analysis result of the movement track of the target level terminals, the activity analysis result of the target level terminals and the risk analysis result of the target level terminals; and the information of the moving track of the target level terminal and the information of the moving track of the previous level terminal of the target level have intersection.

In this embodiment, when the level of the second terminal determined by the data analysis network element according to the information of the first movement trajectory is not consistent with the target level, the data analysis network element may further determine, according to the information of the second movement trajectory of the second terminal, that there is an intersection with the movement trajectory of the third terminal and the first movement trajectory, so as to obtain an analysis result corresponding to the third terminal, and if the level corresponding to the third terminal is not consistent with the target level, the data analysis network element may further determine a fourth terminal at a next level until the determined level of the terminal reaches the target level, so that the data analysis network element may feed back, to the first network element, an analysis result corresponding to a terminal from an initial level (i.e., a level corresponding to the first terminal) to the target level.

In a possible implementation manner, the requesting message further includes first specific area information and/or first specific time information, and the sending, by the data analysis network element, an analysis result to the first network element includes: and 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. In this embodiment, the analysis result requested by the first network element may specifically be an analysis result corresponding to the specific area, for example, the first network element may be another terminal that requests to determine that there is contact with the first terminal in the specific area, and for another terminal located outside the specific area, determination may not be needed; the first network element may also request the analysis result corresponding to a specific time period, for example, the first network element may be a terminal that requests the intersection of the movement track and the first movement track in the time period from 1/4/2020 to 8/4/2020.

In a possible implementation manner, the obtaining, by the data analysis network element, information of the first movement trajectory includes: and the data analysis network element acquires the information of the first movement track according to the identification information of the first terminal. In this embodiment, the request message received by the data analysis network element may not include the information of the first movement track but include the identification information of the first terminal, at this time, the data analysis network element may determine the information of the first movement track corresponding to the first terminal according to the identification information of the first terminal, for example, the data analysis network element may request, according to the identification information of the first terminal, other network elements (such as an AMF network element, an AF network element, and the like) in the network to acquire information of positions of the first terminal at different time periods, so that the data analysis network element may generate the information of the first movement track of the first terminal according to a time sequence.

In a possible implementation manner, the request message further includes second specified area information and/or second specified time information; the data analysis network element acquiring information of the first movement track includes: and the data analysis network element acquires the information of the first moving track according to the identification information of the first terminal and the second designated area information and/or the second designated time information. In this embodiment, when determining the information of the first movement track, the data analysis network element may use a movement track generated by the first terminal in a specific area (i.e., an area indicated by the second specified area information) as the first movement track, or use a movement track generated by the first terminal in a specific time period (i.e., a time period indicated by the second specified time information) as the first movement track, so that the data analysis network element may determine an analysis result corresponding to the specific area and/or the specific time period.

In a possible implementation manner, the information on the second movement trajectory includes information on a second location and information on a time corresponding to the second location, and the determining, by the data analysis network element, that there is an intersection between the second movement trajectory of the second terminal and the first movement trajectory includes: the data analysis network element determines that the second movement track and the first movement track have the same position; or, the data analysis network element determines that 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. In this embodiment, when determining the second terminal, the data analysis network element may specifically determine whether a second movement trajectory of the second terminal is the same as a first movement trajectory (may be a network location, or a geographic location), and if so, it indicates that the second terminal contacts the first movement trajectory, and when the first movement trajectory is specifically a first movement trajectory of the first terminal, the second terminal and the first terminal contact at the same position (even if physical contact does not occur, it may be considered that two terminals contact). Or, 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 located at the same position overlaps with the time information corresponding to the first terminal, and when the first movement track is specifically the first movement track of the first terminal, the first terminal and the second terminal simultaneously appear at the same position, and at this time, it can be considered that the first terminal contacts the second terminal.

In a possible embodiment, the same location comprises a plurality of locations, which are consecutive in the first movement trajectory and/or the second movement trajectory. In this embodiment, when determining the second terminal, the data analysis network element not only requires that the second movement trajectory has the same position as the first movement trajectory, but also requires that the same positions between the second movement trajectory and the first movement trajectory are consecutive, and when the first movement trajectory is specifically the first movement trajectory 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 continuously pass through the cell 1, the cell 2, the cell 3, and the like in sequence.

In a possible embodiment, the number of identical positions is greater than a preset number. In this embodiment, in the process of determining the second terminal, the data analysis network element may further have a certain requirement on the same number of positions on the basis of any one of the above conditions, and specifically, the same number of positions between the second movement track and the first movement track of the second terminal may be further required to exceed a preset number.

In a possible implementation manner, the corresponding overlapping duration of the same position in the second movement trajectory and the first movement trajectory is greater than a preset duration. In this embodiment, in the process of determining the second terminal, the data analysis network element may further have a certain requirement on the overlapping duration on the basis of any one of the above conditions, and when the first moving trajectory is specifically the moving trajectory of the first terminal, determine the second terminal that has contact with the first terminal, and require that the duration that the second terminal and the first terminal are located at the same position is longer than a certain duration.

In a possible implementation manner, the overlapping duration of the same position in the second movement trajectory and the first movement trajectory is greater than a preset duration, including: the overlapping duration corresponding to at least one position in the same position is longer than the preset duration; or, the same positions comprise continuous same positions, and the overlap duration corresponding to at least one position in the continuous same positions is longer than the preset duration; or, the same position comprises a plurality of positions, and the sum of the overlapping durations corresponding to the positions is greater than the preset duration; or, the same positions comprise continuous same positions, and the sum of the overlapping durations corresponding to the continuous same positions is greater than the preset duration. In this embodiment, the overlapping duration corresponding to the same position is longer than the preset duration, which may be any one of the above four examples, so that the flexibility of implementation of the scheme is increased.

In a possible embodiment, the overlapping time comprises an overlapping duration and/or an overlapping time period for which the second terminal is in the overlapping network location. In this embodiment, the overlapping time may specifically be an overlapping duration, or an overlapping time period, or a combination of the two may be used.

In one possible embodiment, the method further comprises: the data analysis network element obtains a judgment condition from the first network element; the data analysis network element determining that an intersection exists between a second movement track of a second terminal and the first movement track, including: and the data analysis network element determines that the second movement track and the first movement track have intersection according to the judgment condition. In this embodiment, the data analysis network element determines whether there is an intersection between the two movement trajectories, which may be determined according to a determination condition obtained from the first network element, for example, the first network element may send the determination condition to the data analysis network element along with the first request message, so that the data analysis network element determines whether there is an intersection between the two movement trajectories according to the determination condition. Of course, in other possible embodiments, the determination condition may also be configured in advance on the data analysis network element, so that the first network element may not carry the determination condition in sending the request message to the data analysis network element each time, thereby reducing the data volume of the request message.

In a possible implementation manner, the information analysis result of the third movement track includes any one or more of the following information: the identification information of the second terminal corresponding to the information of the third movement track, the number of the second terminals 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 analysis result of the activity of the second terminal corresponding to the information of the third movement track, and the analysis result of the risk of the second terminal corresponding to the information of the third movement track. In this embodiment, the information analysis result of the first movement track may include any one or more of the above information, which increases the flexibility in implementation of the solution.

In a possible implementation manner, the information analysis result of the second movement track of the second terminal includes any one or more of the following information: information of a second position, information of time corresponding to the second position, information of a same position in the first movement trajectory and the second movement trajectory, and information of overlap time corresponding to the same position in the first movement trajectory and the second movement trajectory. In this embodiment, the information analysis result of the second movement track may include any one or more of the above information, which increases the flexibility in implementation of the solution.

In a possible implementation, the activity analysis result of the second terminal includes any one or more of the following information: the value is used for indicating the activity level of the second terminal, the level is used for indicating the activity level of the second terminal, the number of times of re-registration of the second terminal in a network, the number of times of position change of the second terminal in the network, the number of times of the second terminal entering a preset position, the number of services initiated when the second terminal is at the preset position, and the number of times of services initiated when the second terminal is at the preset position. In this embodiment, the one or more kinds of information may be used as an activity analysis result of the second terminal, so as to characterize the mobility activity level or the session activity level of the second terminal in the network. Further, the value for indicating the activity level of the second terminal and the level for indicating the activity level of the second terminal may be generated by using the remaining one or more of the above information.

In a possible implementation, 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 risk release time of the second terminal. In this embodiment, the risk analysis result of the second terminal may include any one or more of the above information, increasing flexibility in implementation of the scenario.

In one possible embodiment, the second terminal comprises a plurality of terminals; the information analysis result of the second movement track comprises an information analysis result of the aggregation movement tracks of the plurality of terminals, and/or an information analysis result of the movement track of each terminal in the plurality of terminals; the activity analysis result of the second terminal comprises an aggregation activity analysis result of the plurality of terminals and/or an activity analysis result of each terminal in the plurality of terminals; the risk analysis result of the second terminal comprises an aggregated risk analysis result of the plurality of terminals, and/or a risk analysis result of each of the plurality of terminals. In this embodiment, if the second terminal determined by the data analysis network element is a plurality of terminals, the information analysis result of the second movement trajectory may be a set of information analysis results of the movement trajectories of the terminals, or may be obtained by aggregating the information analysis results of the movement trajectories of the terminals. The aggregation includes, but is not limited to, calculating mean values, variances, and the like.

In a second aspect, an embodiment of the present application further provides a communication method, where the method includes: a first network element sends a request message to a data analysis network element, wherein the request message includes information of a first movement track and/or identification information of a first terminal corresponding to the information of the first movement track, the request message is used for requesting an analysis result corresponding to a second terminal from the data analysis network element, and the second movement track of the second terminal and the first movement track have intersection; the first network element receives an analysis result from the data analysis network element, wherein the analysis result comprises any one or more of the following information: the identification information of the second terminal, the number of the second terminals, 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 a third movement track, where the third movement track includes at least a part of an overlapping track between the first movement track and the second movement track.

In a possible implementation, the analysis result includes identification information of the second terminal, and the method further includes: and the first network element sends indication information to the second terminal according to the identification information of the second terminal, wherein the indication information is used for indicating that an intersection exists between the second movement track and the first movement track.

In a possible implementation, the analysis result includes an information analysis result of the third movement trajectory, and the method further includes: and the first network element determines a processing strategy corresponding to the information of the third moving track according to the information analysis result of the third moving track.

In a possible embodiment, the request message further includes a determination condition for determining that the second movement trajectory intersects the first movement trajectory.

In one possible embodiment, the determination condition includes: the second moving track and the first moving track have the same position; or, 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.

In one possible embodiment, the determination condition includes: at least one same position exists in the second moving track and the first moving track, and the time interval of the corresponding starting time of the same position in the second moving track and the first moving track is less than a preset time interval.

In a possible embodiment, the same location comprises a plurality of locations, which are consecutive in the first movement trajectory and/or the second movement trajectory.

In a possible implementation manner, the corresponding overlapping duration of the same position in the second movement trajectory and the first movement trajectory is greater than a preset duration.

In a possible implementation manner, the overlapping duration of the same position in the second movement trajectory and the first movement trajectory is greater than a preset duration, including: the overlapping duration corresponding to at least one position in the same position is longer than the preset duration;

or, the same positions comprise continuous same positions, and the overlap duration corresponding to at least one position in the continuous same positions is longer than the preset duration; or, the same position comprises a plurality of positions, and the sum of the overlapping durations corresponding to the positions is greater than the preset duration; or, the same positions comprise continuous same positions, and the sum of the overlapping durations corresponding to the continuous same positions is greater than the preset duration.

In a possible implementation manner, the request message includes the association level information, where the association level information is used to indicate a target level of a terminal associated with the first movement trajectory, where there is an intersection between movement trajectories of terminals in adjacent levels, and the level of the first terminal is an initial level; the analysis results further include any one or more of the following information: the identification information of the target level terminals, the number of the target level terminals, the information analysis result of the movement track of the target level terminals, the activity analysis result of the target level terminals and the risk analysis result of the target level terminals; and the moving track of the target level terminal and the moving track of the terminal of the previous level of the target level have intersection.

In a possible implementation manner, the requesting message includes first specified area information and/or first specified time information, and the first network element receives an 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.

In one possible embodiment, the method further comprises: and the first network element determines a processing strategy corresponding to the first designated area information and/or the first designated time information according to the analysis result.

In a possible implementation manner, the request message further includes second specified area information and/or second specified time information, and the information of the first movement track is information of a movement track of the first terminal in the second specified area information and/or the second specified time information, which corresponds to the identification information of the first terminal.

In a possible implementation manner, the information analysis result of the second movement track includes any one or more of the following information: information of a second position, information of time corresponding to the second position, information of a same position in the first movement trajectory and the second movement trajectory, and information of overlap time corresponding to the same position in the first movement trajectory and the second movement trajectory.

In a possible implementation, the activity analysis result of the second terminal includes any one or more of the following information: the value is used for indicating the activity level of the second terminal, the level is used for indicating the activity level of the second terminal, the number of times of re-registration of the second terminal in a network, the number of times of position change of the second terminal in the network, the number of times of the second terminal entering a preset position, the number of services initiated when the second terminal is at the preset position, and the number of times of services initiated when the second terminal is at the preset position.

In a possible implementation, the risk analysis result of the second terminal includes any one or more of the following information: the risk category, the risk degree and the risk release time of the second terminal.

In one possible embodiment, the second terminal comprises a plurality of terminals; the information analysis result of the second movement track comprises an information analysis result of the aggregation movement tracks of the plurality of terminals, and/or an information analysis result of the movement track of each terminal in the plurality of terminals; the activity analysis result of the second terminal comprises an aggregation activity analysis result of the plurality of terminals and/or an activity analysis result of each terminal in the plurality of terminals; the risk analysis result of the second terminal comprises an aggregated risk analysis result of the plurality of terminals, and/or a risk analysis result of each of the plurality of terminals.

In a third aspect, an embodiment of the present application further provides a communication method, where the method includes: a data analysis network element acquires information of a first movement track, wherein the information of the first movement track comprises information of a first position; the data analysis network element determines that an intersection exists between a second movement track of a second terminal and the first movement track; the data analysis network element sends an analysis result to the first network element, wherein the analysis result comprises any one or more of the following information: the identification information of the second terminal, the number of the second terminals, the information analysis result of the second movement trajectory, the activity analysis result of the second terminal, the risk analysis result of the second terminal, and the information analysis result of a third movement trajectory, where the third movement trajectory includes at least a part of an overlapping trajectory between the first movement trajectory and the second movement trajectory.

In this embodiment, the information of the first movement track may only include the information of the first position, so that the second terminal having an intersection with the first movement track may be determined based on the movement track of each terminal, and a corresponding analysis result may be obtained, which may effectively improve the efficiency of determining other terminals (i.e. users related to the emergency) in contact with the terminal or information related to other terminals (i.e. information related to users related to the emergency), reduce the time and labor cost, and generally have a low possibility of missing, and overlooking.

In a possible implementation, the determining, by the data analysis network element, that there is an intersection between the second movement trajectory of the second terminal and the first movement trajectory includes: and the data analysis network element determines that the second moving track and the first moving track have the same position. In this embodiment, there is an intersection between the first movement track and the second movement track, specifically, there may be a same location between the second movement track and the first movement track, where the location may be a network location or a geographic location, and when the first movement track is a movement track of the first terminal, the second terminal and the first terminal have contact at the same location (may not have physical contact).

In one possible embodiment, the method further comprises: the data analysis network element receives a request message from the first network element, where the request message is used to request the data analysis network element for the analysis result, and the request message includes information of the first movement track.

In a possible implementation manner, the requesting message further includes first specific area information and/or first specific time information, and the sending, by the data analysis network element, an analysis result to the first network element includes:

the data analysis network element sends the first designated area information and/or the analysis result corresponding to the first designated time information to the first network element

In a possible implementation manner, the request message further includes second designated time information; the determining, by the data analysis network element, that an intersection exists between a second movement trajectory of the second terminal and the first movement trajectory includes: and the data analysis network element determines that the second moving track and the first moving track have intersection according to the second designated time information. In this embodiment, it may be determined whether a moving trajectory generated by the second terminal within the time period represented by the second specified-time information intersects with the first moving trajectory, and the determined second terminal may be limited in time.

In a possible implementation manner, the determining, by the data analysis network element according to the second specified time information, that there is an intersection between the second movement trajectory and the first movement trajectory includes: and the data analysis network element determines that the second movement track in the time corresponding to the second designated time information has the same position as the first movement track. In this embodiment, it is specifically determined that an intersection exists between the two movement tracks when it is determined that the movement track generated by the second terminal in the time period represented by the second specified time information exists at the same position as the first movement track. When the first movement trajectory is the movement trajectory of the first terminal, the first terminal and the second terminal have contact at the same position within the time period indicated by the second specified-time information.

In a possible implementation manner, the information analysis result of the second movement track includes any one or more of the following information: the information of the second position, the information of the time corresponding to the second position, the information of the same position in the first moving track and the second moving track, and the information of the overlapping time corresponding to the same position in the first moving track and the second moving track.

In a possible implementation manner, the information analysis result of the third movement track includes any one or more of the following information: the identification information of the second terminal corresponding to the information of the third movement track, the number of the second terminals 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 analysis result of the activity of the second terminal corresponding to the information of the third movement track, and the analysis result of the risk of the second terminal corresponding to the information of the third movement track. In this embodiment, the information analysis result of the third movement trajectory may be any one or more of the above exemplary information, which increases the flexibility of implementation of the solution.

In a fourth aspect, an embodiment of the present application further provides a communication method, where the method includes:

a data analysis network element acquires information of a first moving track, wherein the information of the first moving track comprises information of a first position and information of time corresponding to the first position;

the data analysis network element acquires information of a second movement track, wherein the information of the second movement track comprises information of a second position and information of time corresponding to the second position;

The data analysis network element determines that an intersection exists between the second movement track and the first movement track;

the data analysis network element sends an analysis result to the first network element, wherein the analysis result comprises any one or more of the following information: and indicating information and an information analysis result of the second movement track. The indication information is used for indicating that the second movement track and the first movement track have intersection.

In one possible implementation, the method further includes: the data analysis network element receives a request message from the first network element, where the request message is used to request the data analysis network element for the analysis result, and the request message includes information of the first movement track and/or identification information of the first terminal corresponding to the information of the first movement track.

In a possible implementation manner, the data analysis network element obtains information of the first movement trajectory, and the method includes: and the data analysis network element acquires the information of the first movement track according to the identification information of the first terminal.

In a possible implementation manner, the request message further includes information of the second movement track, and/or identification information of the second terminal corresponding to the information of the second movement track.

In a possible implementation manner, the data analysis network element obtains information of the second movement trajectory, and the method includes: and the data analysis network element acquires the information of the second movement track according to the identification information of the second terminal.

In a possible implementation manner, the request message further includes specific area information and/or specific time information.

The data analysis network element acquiring information of the first movement track includes:

and the data analysis network element acquires the information of the first moving track according to the identification information of the first terminal and the information of the designated area and/or the information of the designated time.

The data analysis network element acquiring information of the second movement track includes:

and the data analysis network element acquires the information of the second moving track according to the identification information of the second terminal and the designated area information and/or the designated time information.

In a possible implementation manner, the information analysis result of the second movement track includes any one or more of the following information:

the information of the second position, the information of the time corresponding to the second position, the information of the same position in the first moving track and the second moving track, and the information of the overlapping time corresponding to the same position in the first moving track and the second moving track.

In a fifth aspect, an embodiment of the present application further provides a communication apparatus, where the apparatus includes: the mobile terminal comprises a receiving unit, a processing unit and a processing unit, wherein the receiving unit is used for receiving information of a first moving track, and the information of the first moving track comprises information of a first position and information of time corresponding to the first position; the processing unit is used for determining that the second movement track of the second terminal and the first movement track have intersection; a sending unit, 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 terminals, 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 a third movement track, where the third movement track includes at least a part of an overlapping track between the first movement track and the second movement track.

In one possible embodiment, the apparatus is applied to a data analysis network element,

the communication apparatus described in the fifth aspect corresponds to the communication method described in the first aspect, and therefore, reference may be made to the description of the corresponding implementation manner and the beneficial effects in the first aspect for various possible implementations and beneficial effects of the fourth aspect, which is not described herein again.

In a sixth aspect, an embodiment of the present application further provides a communication apparatus, where the apparatus includes: a sending unit, configured to send a request message to a data analysis network element, where the request message includes information of a first movement trajectory and/or identification information of a first terminal corresponding to the information of the first movement trajectory, and the request message is used to request, to the data analysis network element, an analysis result corresponding to a second terminal, where an intersection exists between the second movement trajectory of the second terminal and the first movement trajectory; a receiving unit, 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: identification information of the second terminal, the number of the second terminals, an information analysis result of the second movement trajectory, an activity analysis result of the second terminal, a risk analysis result of the second terminal, and an information analysis result of a third movement trajectory, where the third movement trajectory includes at least a portion of an overlapping trajectory between the first movement trajectory and the second movement trajectory.

In one possible embodiment, the apparatus is applied to a first network element.

The communication apparatus described in the sixth aspect corresponds to the communication method described in the second aspect, and therefore, reference may be made to the description of the corresponding implementation and advantageous effects in the second aspect for various possible implementations and advantageous effects of the sixth aspect, which are not repeated herein.

In a seventh aspect, an embodiment of the present application further provides a communication apparatus, where the apparatus includes: the device comprises a receiving unit, a processing unit and a processing unit, wherein the receiving unit is used for information of a first moving track, and the information of the first moving track comprises position information; the processing unit is used for determining that an intersection exists between a second movement track of the second terminal and the first movement track; a sending unit, 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 terminals, an information analysis result of the second movement track, an activity analysis result of the second terminal, a risk analysis result of the second terminal, and an information analysis result of a third movement track, where the third movement track includes at least a part of an overlapping track between the first movement track and the second movement track.

In one possible embodiment, the apparatus is applied to a data analysis network element.

The communication apparatus described in the seventh aspect corresponds to the communication method described in the third aspect, and therefore, reference may be made to the description of the corresponding implementation and beneficial effects in the third aspect for various possible implementations and beneficial effects of the seventh aspect, which is not described herein again.

In an eighth aspect, an embodiment of the present application further provides a communication apparatus, including: a processor and a memory; the memory for storing instructions or computer programs; the processor is configured to execute the instructions or the computer program to cause the method of any of the embodiments of the first aspect to be performed.

The communication device described in the eighth aspect corresponds to the communication methods described in the first to third aspects, and therefore, reference may be made to the corresponding implementation manners and the corresponding descriptions of the advantageous effects in the first to third aspects for various possible implementations of the eighth aspect and the advantageous effects thereof, which are not repeated herein.

In a ninth aspect, this embodiment of the present application further provides a computer-readable storage medium, which includes instructions or a computer program, when the computer-readable storage medium runs on a computer, to make the computer perform the method described in any one of the above-mentioned first aspect to the method described in any one of the above-mentioned third aspect.

The computer-readable storage medium described in the ninth aspect corresponds to the communication method described in the first aspect or the second aspect, and therefore, reference may be made to various possible embodiments of the ninth aspect and relevant descriptions of the corresponding embodiments and beneficial effects in the first aspect to the third aspect, which are not repeated herein.

In a tenth aspect, an embodiment of the present application further provides a communication system, where the system may include the data analysis network element in any implementation manner in the first aspect and the first network element in any implementation manner in the second aspect; alternatively, the system may comprise the data analysis network element according to any of the embodiments of the third aspect and the first network element according to any of the embodiments of the second aspect.

The communication system described in the tenth aspect corresponds to the communication method described in the first aspect or the second aspect, and therefore, reference may be made to the description of the corresponding implementation manner and the beneficial effect in the first aspect or the second aspect for various possible implementations and beneficial effects of the tenth aspect, which is not repeated herein.

In an eleventh aspect, embodiments of the present application provide a chip, where the chip includes a processor and a communication interface, and the communication interface is coupled to the processor, and the processor is configured to execute a computer program or instructions to implement one of the communication methods described in the various possible implementations of the first aspect to the third aspect. The communication interface is used for communicating with other modules outside the chip.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings can be obtained by those skilled in the art according to the drawings.

Fig. 1 is a schematic architecture diagram of an exemplary communication system in an embodiment of the present application;

fig. 2 is a flowchart illustrating a communication method according to an embodiment of the present application;

fig. 3 is a schematic flowchart of a communication method according to an embodiment of the present application in combination with a specific scenario;

fig. 4 is a schematic flowchart of another communication method according to a specific scenario in the embodiment of the present application;

fig. 5 is a schematic structural diagram of a communication device in an embodiment of the present application;

fig. 6 is a schematic structural diagram of another communication device in the embodiment of the present application;

fig. 7 is a schematic hardware structure diagram of a communication device according to an embodiment of the present application;

fig. 8 is a schematic diagram of a hardware structure of a chip in an embodiment of the present application.

Detailed Description

The embodiments of the present application may be applied to an exemplary communication system as shown in fig. 1. The communication system may be a communication system supporting a fourth generation (4G) access technology, such as a Long Term Evolution (LTE) access technology; alternatively, the communication system may be a communication system supporting a fifth generation (5G) access technology, such as a New Radio (NR) access technology; alternatively, the communication system may be a communication system supporting a plurality of wireless technologies, for example, a communication system supporting an LTE technology and an NR technology. In addition, the communication system may also be adapted for future-oriented communication technologies.

In the communication system, a terminal accesses a core network through AN Access Network (AN) network element or a Radio Access Network (RAN). Among them, the terminal includes but is not limited to: user Equipment (UE), subscriber unit, subscriber station, mobile station, remote terminal equipment, mobile terminal equipment, user terminal equipment, wireless communication equipment, user agent, user device, cellular telephone, a cordless phone, a Session Initiation Protocol (SIP) phone, a Wireless Local Loop (WLL) station, a Personal Digital Assistant (PDA), a handheld device with a wireless communication function, a computing device, a processing device connected to a wireless modem, a vehicle-mounted device, a wearable device, a terminal device in the internet of things, a home appliance, a virtual reality device, a terminal device in a future 5G network, or a terminal device in a future evolved Public Land Mobile Network (PLMN), and the like. In the embodiments of the present application, a terminal is taken as a UE for example.

The AN (or RAN) may be a network element that communicates with the terminal. AN (or RAN) may provide communication coverage for a particular geographic area and may communicate with user equipment located within that coverage area (cell). The AN (or RAN) may communicate with any number of UEs. There may be multiple air interface connections between the AN (or RAN) and the UE, for example, there are two air interface connections between the AN (or RAN) and the UE, which are used to transmit data stream a and data stream B, respectively. The AN (or RAN) may support different standards of communication protocols or may support different modes of communication. For example, the AN (or RAN) may be AN evolved node B (eNodeB), or a wireless fidelity access point (WiFi AP), or a worldwide interoperability for microwave access base station (WiMAX BS), or a wireless controller in a Cloud Radio Access Network (CRAN), or AN access network element in a future 5G network or AN access network element in a future evolved PLMN, or the like.

The core network may include: a User Plane Function (UPF) network element, a Network Slice Selection Function (NSSF), a network capability opening function (NEF), a network storage function (NRF), a Policy Control Function (PCF) network element, a unified data management function (UDM) network element, a network data analysis function (network analysis function, NWDAF) network element, an authentication service function (AUSF) network element, an Access Management Function (AMF) network element, a Session Management Function (SMF) network element, and a Service Control Point (SCP). User plane data transmission between the UE and a Data Network (DN) can be realized through AN (or RAN) and a user plane functional network element.

The AMF network element may be configured to provide mobility management, or access authorization and authentication functions for the UE.

Application Function (AF) network elements can be classified into operator AF network elements and third-party AF network elements, and the difference is whether the AF network elements are deployed by an operator. The third-party AF network element includes various application-related servers deployed by non-operators, such as railway system-related AFs, medical system-related AFs, OTT (over the top) service-related AFs, and government community-related AFs (e.g., community service apps).

The NEF network element may be configured to open data and services of a communication operator network to an external AF, or open AF data or services to an operator in a reverse direction.

The NWDAF network element may have one or more of the following functions: data collection, training, analysis, reasoning functions. For example, the NWDAF network element is configured to collect relevant data from a network element, a third-party service server, a terminal device, or a network management system, and perform analysis training based on the relevant data, so as to provide a corresponding data analysis result to the network element, the third-party service server, the providing terminal device, or the network management system, where the analysis result may assist the network in selecting a service quality parameter of a service, or assist the network in executing a traffic routing, or assist the network in selecting a background traffic transmission policy, and the like. The NWDAF network element may be set independently in the network as an independent network element, or the NWDAF network element may be set together with other network elements, for example, the NWDAF network element function is 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, may also have the same data type analysis function.

Other NFs (network functions), i.e. other nodes or physical devices in the network, may have one or more of the following functions: corresponding function support is provided for UE to access the network, carry out conversation, authentication, policy control and the like, and corresponding network data can be generated. Such as the above-mentioned AMF, SMF, UDM, etc., are examples of NFs.

The terminal and the network element and different network elements may communicate with each other through corresponding service interfaces or point-to-point interfaces, for example, the UE may communicate with the AMF network element through AN N1 interface, the AN may communicate with the UPF network element through AN N3 interface, and the like (similar point-to-point interfaces such as N2, N4, N6, and N9); for another example, the AMF network element may communicate with other network elements in the network through a service interface Naf interface, and the AF network element may communicate with other network elements through a service interface Naf interface, and the like, which are not described herein again.

In the communication system shown in fig. 1, the functions of each constituent network element are merely exemplary, and not all the functions of each constituent network element are necessary when the respective 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 one example of the communication system provided in the embodiment of the present application, and the embodiment of the present application may be applied to any applicable communication system, and is not limited to the communication system shown in fig. 1.

Various non-limiting embodiments of the present application will now be described with reference to the accompanying drawings. Referring to fig. 2, fig. 2 is a flowchart illustrating a communication method according to an embodiment of the present application, where the method may be applied to the communication system shown in fig. 1, and may also be applied to other applicable communication systems. When applied to the communication system shown in fig. 1, the data analysis network element in the present embodiment may be an NWDAF network element in the communication system shown in fig. 1; the first network element may be another network element (including another NWDAF network element) in the communication system except for the NWDAF network element (such as an AF network element, an AMF network element, a UDM network element, a RAN network element, a UE, etc.), and the first network element and the data analysis network element may be collocated or separately deployed in the network. The method specifically comprises the following steps:

s201: the data analysis network element obtains information of a first movement track, wherein the information of the first movement track comprises information of a first position and information of time corresponding to the first position.

S202: and the data analysis network element determines that the second movement track of the second terminal has intersection with the first movement track.

S203: and the data analysis network element sends an analysis result to the first network element, wherein the analysis result comprises any one or more of identification information of the second terminals, the number of the second terminals, an information analysis result of the second movement track, an activity analysis result of the second terminals, a risk analysis result of the second terminals and an information analysis result of a third movement track, and the third movement track comprises at least one part of an overlapped track between the first movement track and the second movement track.

In this embodiment, the data analysis network element may analyze according to the corresponding data to determine which terminal movement tracks intersect with the first movement track. The first movement track may be a movement track of a certain terminal or terminals (hereinafter referred to as a first terminal), or may be a pre-specified movement track. The information of the first movement track may include information of a first position and information of a time corresponding to the first position. For example, when the first movement track is a movement track of the first terminal, the information of the first movement track may include information of a first location where the first terminal is located, and a time (such as a start time, an end time, a duration, and the like) when the first terminal is located at the first location.

Accordingly, the data analysis network element may first execute step S201 to obtain the information of the first movement track.

In an exemplary embodiment of obtaining the information of the first movement track, if the first movement track is a movement track of the first terminal, the data analysis network element may obtain the information of the corresponding first movement track according to the identification information of the first terminal. For example, a first network element in the network may send a request message to a data analysis network element to request the data analysis network element to feed back, to the first network element, information related to a second terminal in contact with the first terminal, such as information of a location where the second terminal is in contact with the first terminal, information of time of contact at the location (e.g., start time, end time, and contact duration of contact start time, etc.) and the like. Wherein the request message may include identification information of the first terminal.

The first network element may be another network element (including another network element of the data analysis network element) other than the network element of the data analysis network element, such as an AMF network element, a RAN network element, a UDM network element, a RAN network element, and a UE. In some examples, the first network element may be another data analysis network element in the network. For example, when a part of the data analysis network elements in the network does not have a function of determining that there is a contact with the first terminal, the part of the data analysis network elements may send a request message to the data analysis network elements in the network having the function, thereby obtaining a required analysis result. In other examples, the request message may also be initiated by a terminal device directly or indirectly communicating with the first network element, and forwarded to the data analysis network element through the first network element, or the like. When the first network element and the data analysis network element are jointly arranged in the network, the first network element can directly obtain the corresponding analysis result from the data analysis network element without sending a request to the data analysis network element.

In some possible embodiments, the identification information of the first terminal may be, for example, any one or more of General Public Subscription Identifier (GPSI), subscription permanent identifier (SUPI), International Mobile Subscriber Identity (IMSI), International Mobile Equipment Identity (IMEI), GEI, application user ID, and IP quintuple information of the first terminal. .

In some possible embodiments, the information about the location where the first terminal is located may specifically be at least one of the following examples: information of network locations such as cell, cell list, TA (tracking area), TA list, MR (measurement report) location information, LCS (location services) location information, and the like; or, the geographic location information may be represented by longitude and latitude, administrative region, and other manners; the location of the base station is usually relatively fixed, so that when the first terminal contacts the base station, the location corresponding to the base station (or the base station identifier) can be used as the geographical location or the network location of the first terminal. Further, when the position-related information fed back by the other network elements is information of geographical positions such as longitude and latitude or administrative regions, the information of the geographical positions can be converted into position information which can be recognized by the data analysis network element in the process of being transmitted to the data analysis network element.

In the embodiment, the first terminal and the second terminal are in contact (that is, the movement track of the first terminal and the movement track of the second terminal have an intersection), which is not limited to that the terminals are physically touched, and in the case that the first terminal and the second terminal are not physically touched, if the first terminal and the second terminal are located in the same area or the distance between the first terminal and the second terminal is short, it may be considered that the first terminal and the second terminal are in contact. For example: when 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 middle and high end and the second terminal.

Then, the data analysis network element may send a request for acquiring the location related information of the first terminal to other network elements in the network, such as an AF network element and/or an NF network element, by using the identification information of the first terminal analyzed from the request message, where the request carries the identification information of the first terminal, so as to acquire the location related information of the first terminal from other network elements.

The NF network element may be, for example, an AMF network element, a RAN network element, an OAM (operation, administration and maintenance) network element, a GMLC (gateway mobile location center) network element, an LMF (location management function) network element, or the like.

As an example, the obtained location related information of the first terminal may include at least one of the following information: the information of the position of the first terminal, the time of the first terminal entering each position, the time of the first terminal leaving the position, the time length of the first terminal in the position and the like. In this way, the data analysis network element generates information of a first movement track corresponding to the first terminal according to the position-related information of the first terminal fed back by each network element response request, for example, the first movement track may be obtained by arranging positions of the plurality of first terminals according to a time sequence.

As an example, the location related information of the first terminal may include information of a first location where the first terminal is located and time information of the first location where the first terminal is located, and the time information may be, for example, one or more time information of a start time of the first terminal entering the first location, an end time of the first terminal entering the first location, and a duration of the first terminal being located at the first location. In this way, the data analysis network element may generate a continuous function y ═ f (x) based on the position-related information of the first terminal, where x denotes the time and y denotes the position where the first terminal is located at the time, so that the continuous function y ═ f (x) is information of the first movement trajectory of the UE 1.

Of course, in other possible embodiments, the information of the first movement track may also include information discretely characterizing the position entered by the first terminal and information of the time when the first terminal entered the position. For example, the information of the first moving trajectory may include discrete cell identifiers and a start time, a duration, and an end time (here, a plurality of cells are taken as an example, and may be one cell, the same applies below) corresponding to a cell indicated by the first terminal entering each cell identifier, as shown in table 1 below (assuming that the moving trajectory of the first terminal is cell 1 → cell 2 → cell 3 → cell 4):

TABLE 1

Cell identity	Starting time	Duration of time	End time
				Cell 1	08:00:00	5 minutes	08:05:00
Cell 2	08:05:01	5 minutes	08:10:00
				Cell 3	08:10:01	5 minutes	08:15:00
Cell 4	08:15:01	5 minutes	08:20:00

For another example, the information of the first moving track may include a plurality of cell identifiers and a start time, a duration, and an end time of the first moving track, as shown in table 2 below (still taking the moving track of the UE1 as cell 1 → cell 2 → cell 3 → cell 4 as an example):

TABLE 2

For 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.

In some possible designs, when the other network element feeds back the position-related information of the first terminal to the data analysis network element, the position-related information of the other terminal may also be fed back to the data analysis network element, so as to subsequently determine which moving tracks of the terminals intersect with the first moving track. For example, the request message sent by the first network element to the data analysis network element may include first specified area information and/or first specified time information, and the data analysis network element may request, from another network element, to acquire the location-related information of another terminal located in the area indicated by the first specified area information and/or the location-related information of another terminal located in the time period indicated by the first specified time information.

In another exemplary embodiment of obtaining the information of the first movement trajectory, the first network element may also directly send the information of the first movement trajectory to the data analysis network element. Specifically, when the first network element requests the data analysis network element to acquire the related information of the second terminal that is in contact with the first terminal, the first network element may send the information of the first movement track to the data analysis network element along with the request message, so that the data analysis network element may directly analyze the information of the first movement track from the received request message, and at this time, the first movement track may be a movement track of the first terminal, or a movement track specified in advance by the first network element, or the like. Therefore, when the information of the first moving track is acquired, the identification information of the first terminal does not need to be acquired, and the privacy security of the user holding the first terminal can be protected.

In a further possible implementation manner, the request message sent by the first network element to the data analysis network element may further include any one or more of analysis type identification information, association level information, first specified area information, second specified area information, first specified time information, and second specified 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. For example, the request message may include an identifier requesting the number of the second terminals, and may be used to request the data analysis network element to feed back the number of the second terminals corresponding to the movement trajectory overlapped with the first movement trajectory; for another example, the request message may include an identifier requesting the movement track of the second terminal, and is used to request the data analysis network element to feed back information of the movement track of the second terminal. The request message may contain one or more category type identification information for requesting one or more different contents from the data analysis network element.

And the association level information can be used for indicating a terminal target level associated with the terminal corresponding to the first movement track. The association level information may be represented by a value, such as 3, for example, which characterizes the determined target level terminal as a third level terminal, and is associated with the second terminal of the second level, and the second terminal of the second level is associated with the first terminal of the first level. The association between two terminals of adjacent levels is specifically represented by the intersection of the movement tracks of the two terminals. When the request message includes the association level information, the data analysis network element may determine, as a second-level terminal, a terminal corresponding to a second movement trajectory having an intersection with a first movement trajectory corresponding to the first-level terminal, and generate an analysis result corresponding to the second-level terminal, then may determine, as a third-level terminal, a terminal corresponding to a movement trajectory having an intersection with the second movement trajectory, and generate an analysis result corresponding to the third-level terminal, and so on, and may obtain analysis results corresponding to respective levels. In this way, the data analysis network element may feed back, to the first network element, the analysis result corresponding to the terminal at the first level (that is, the initial level), the second level to the target level, or only feed back the analysis result corresponding to the terminal at the target level, and the like.

The first designated area information may be used to instruct the data analysis network element to feed back an analysis result corresponding to the second terminal in the area represented by the first designated area information. For example, the first designated area information may be specifically expressed as coordinate values for dividing the area, such as the first designated area may be characterized by coordinate values of a plurality of area boundaries; alternatively, it may be presented as an administrative area, such as province, city, county, etc.; but also a network area or the like that appears to be served by a certain network element or elements in the network. For example, when the city indicated by the first designated area information is a city a, the second terminal that has contact with the first terminal may be determined from all terminals belonging to the city a. Further, the request message may further include second specified area information, which may be used to determine the first movement track located in the second specified area. The data analysis network element may determine a second terminal corresponding to a second movement trajectory having an intersection with the first movement trajectory in the second specified area. For example, the first moving track of the first terminal includes a cell (cell) 1 → cell 2 → cell 3 of the city a, and the area indicated by the second specified area information includes two locations, namely, cell1 and cell 2, then the data analysis network element may use the moving track cell1 → cell 2 as the first moving track, and feed back a corresponding analysis result. In a further possible implementation manner, when the request message only includes the first specified area information, the data analysis network element may also use a movement trajectory of the first terminal within the first specified area as the first movement trajectory. For example, when the request message does not include the second designated area information, the data analysis network element may use the cell1 → cell 2 → cell 3 as the first movement trajectory of the first terminal.

The first specific time information may be used to instruct the data analysis network element to feed back the analysis result in which time period. For example, the first specific time information may be used to indicate 3 months 1 to 3 months 20, and accordingly, the data analysis network element may feed back an analysis result corresponding to the second terminal with which the first terminal has contact during the time period. Further, the request message may further include second designated time information, where the second designated time information may be used to determine a movement trajectory of the first terminal within a 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 trajectory of the first terminal within the time period. For example, if the time period indicated by the second designated time information is 3 month 1, early 0:00 in morning to 3 month 2, early 0:00 in morning, the data analysis network element may feed back a corresponding analysis result based on the movement track of the first terminal in the time period. The first designated time information or the second designated time information may be information of a historical time, information of a current time, or information of a future time. In a further possible embodiment, when only the first specified time information is included in the request message, the data analysis network element may also use a movement trajectory generated by the first terminal within a time period indicated by the first specified time information as the first movement trajectory. For example, when the request message does not include the second designated time information, the data analysis network element may use a movement trajectory generated by the first terminal in the period from 3 months 1 to 3 months 20 as the first movement trajectory, and obtain a corresponding analysis result.

Any one or more of the analysis type identification information, the association hierarchy information, the first designated area information, the second designated area information, the first designated time information, and the second designated time information may be configured in advance in the data analysis network element. For example, the association level information may be configured at a fixed second level or a fixed third level in the data analysis network element; for another example, the second designated time information may be the time of the last three days, and the data analysis network element may calculate the second designated time information in real time. In this way, each time the first network element requests the data analysis network element to feed back a corresponding analysis result, the information configured on the data analysis network element does not need to be added to the request message, so that the data volume of the request message can be reduced, and the efficiency of the first network element for requesting the analysis result can be improved.

In this embodiment, after obtaining the information of the first movement track, the data analysis network element may further execute step S202 according to the information of the first movement track, so as to determine which terminal movement tracks have an intersection with the first movement track.

In some possible embodiments, the data analysis network element may determine information of the movement trajectories of a plurality of terminals (which may not include the first terminal) while determining information of the first movement trajectory, so as to determine, according to the information of the movement trajectories of the plurality of terminals, a terminal (hereinafter, referred to as a second terminal) corresponding to a movement trajectory intersecting with the first movement trajectory.

As a specific implementation example, the data analysis network element may obtain, from other network elements in the network, position-related information of the multiple terminals, and determine, based on the position-related information corresponding to each terminal, information of the moving tracks corresponding to each terminal. Then, the data analysis network element may compare the information of the first movement track with the information of the movement tracks corresponding to the terminals, respectively, to determine whether an intersection exists between the two movement tracks, and if so, determine the terminal corresponding to the movement track that intersects with the first movement track as the second terminal, so as to obtain the relevant information of the second terminal subsequently; if the terminal does not exist, the information of the first movement track may be continuously compared with the information of the movement track of the next terminal to determine whether an intersection exists between the movement track of the next terminal and the first movement track until all second terminals of which the movement tracks intersect with the first movement track are determined from the plurality of terminals, and the number of the determined second terminals may be one or more. The specific implementation manner of the data analysis network element obtaining the information of the movement track corresponding to each terminal is similar to the specific implementation manner of the data analysis network element obtaining the information of the first movement track corresponding to the first terminal, and is not described herein again.

In some possible embodiments, the request message may further include a decision condition. After the data analysis network element analyzes the judgment condition from the received request message, it can determine whether the movement tracks of the two terminals have an intersection according to the judgment condition.

As an example, the determination condition may specifically be any one or more of the following determination conditions, where the information of the second movement trajectory of the second terminal may include information of the second location and information of a time corresponding to the second location:

(1) the first movement trace of the first terminal and the second movement trace of the second terminal have the same position.

If the data analysis network element determines that at least one position in the first movement track of the first terminal is the same as at least one position in the second movement track of the second terminal, the data analysis network element may determine that an intersection exists between the first movement track and the second movement track.

For example, it is assumed that the moving trajectory of the first terminal is cell 1 → cell 2 → cell 3, and the moving trajectory of the second terminal is cell 4 → cell 2 → cell 5, that is, there is an overlapped network location cell 2 between the moving trajectory of the first terminal and the moving trajectory of the second terminal, at this time, the data analysis network element may determine that there is an intersection between the moving trajectory of the first terminal and the moving trajectory of the second terminal.

(2) The first moving track of the first terminal and the second moving track of the second terminal have the same position, and the time corresponding to the position of the first terminal and the time corresponding to the position of the second terminal are at least partially overlapped.

If the data analysis network element determines that at least one position in the first movement track of the first terminal is the same as at least one position in the second movement track of the second terminal, and the time when the first terminal is at the same position is at least partially overlapped with the time when the second terminal is at the position, it may be determined that an intersection exists between the first movement track of the first terminal and the second movement track of the second terminal.

Still taking the moving trajectory of the first terminal as cell 1 → cell 2 → cell 3, and the moving trajectory of the second terminal as cell 4 → cell 2 → cell 5 as examples, not only the overlapping position cell 2 exists in the moving trajectories respectively corresponding to the first terminal and the second terminal, but also the time when the first terminal is in the cell 2 is 8:00 to 9:00, and the time when the second terminal is in the cell 2 is 8:30 to 9:15, the time when the first terminal and the second terminal are in the cell 2 is overlapping, and the overlapping time period is 8:30 to 9:30, at this time, the data analysis network element may determine that the moving trajectory of the first terminal and the moving trajectory of the second terminal have an intersection.

(3) At least one same position exists in a first moving track of the first terminal and a second moving track of the second terminal, and the time interval of the starting time of the first terminal and the starting time of the second terminal, which are located at the same position, in the second moving track and the first moving track is smaller than the preset time interval.

At this time, if the data analysis network element determines that at least one position exists in the first movement track of the first terminal and the second movement track of the second terminal, and the time interval between the starting time of the first terminal entering the same position and the starting time of the second terminal entering the same position is greater than the preset time interval, it may be determined that an intersection exists between the first movement track and the second movement track.

Still taking the moving trajectory of the first terminal as cell 1 → cell 2 → cell 3, and the moving trajectory of the second terminal as cell 4 → cell 2 → cell 5 as examples, not only the overlapping position cell 2 exists in the moving trajectories respectively corresponding to the first terminal and the second terminal, but also the starting time of the first terminal entering the cell 2 is 8:00, the starting time of the second terminal entering the cell 2 is 8:01, and the time interval of the starting time when the first terminal and the second terminal enter the cell 2 is 1 minute, which is smaller than the preset time interval (assumed to be 3 minutes), at this time, the data analysis network element may determine that the moving trajectory of the first terminal and the moving trajectory of the second terminal have an intersection.

(4) The first moving track of the first terminal and the second moving track of the second terminal have the same positions, and the number of the positions in the first moving track and the second moving track which are the same is larger than the preset number.

If the data analysis network element determines that at least one position in the first movement track of the first terminal is the same as at least one position in the second movement track of the second terminal, and the number of the same positions is greater than the preset number, it may be determined that an intersection exists between the first movement track and the second movement track.

For example, the moving track of the first terminal is cell 1 → cell 2 → cell 3 → cell 4 → cell 5, and the moving track of the second terminal is cell 6 → cell 2 → cell 3 → cell 4 → cell 7, where not only the overlapping positions of cell 2, cell 3 and cell 4 exist in the moving tracks respectively corresponding to the first terminal and the second terminal, but also the number of the same positions is 3 and is greater than the preset number (assumed to be 2), at this time, the data analysis network element may determine that the moving track of the first terminal and the moving track of the second terminal have an intersection.

(5) The first movement track of the first terminal and the second movement track of the second terminal have the same position, and the same position is continuous in the first movement track and/or the second movement track.

At this time, if the NWDAF network element determines that at least one position in the movement trajectory of the UE1 is the same as at least one position in the movement trajectory of the UE2, and the same position is continuous in the first movement trajectory or the second movement trajectory, it may determine that the movement trajectories of the two UEs intersect.

For example, the moving track of the first terminal is cell 1 → cell 2 → cell 3 → cell 4 → cell 5, and the moving track of the second terminal is cell 6 → cell 2 → cell 3 → cell 4 → cell 7, where not only the overlapping positions of cell 2, cell 3 and cell 4 exist in the moving tracks respectively corresponding to the first terminal and the second terminal, but also the same positions are continuous in both the first moving track and the second moving track, at this time, the data analysis network element may determine that the moving track of the first terminal and the moving track of the second terminal have an intersection.

(6) The first moving track of the first terminal and the second moving track of the second terminal have the same position, and the corresponding overlapping duration of the same position in the first moving track and the second moving track is longer than the preset duration.

If the data analysis network element determines that at least one position in a first movement track of the first terminal is the same as a second movement track of the second terminal, and the corresponding overlapping duration of the first terminal and the second terminal at the same position is longer than a preset duration, it may be determined that an intersection exists between the first movement track and the second movement track.

The decision conditions may also be adaptively combined with the five exemplary decision conditions described above. For example, in combination with the second determination condition and the third determination condition, the determination condition may also be that a first movement trajectory of the first terminal and a second movement trajectory of the second terminal have the same position, and times corresponding to the same position of the first terminal and the second terminal at least partially overlap, and a time interval of a start time of the same position is smaller than a preset time interval.

For example, a specific implementation that the overlapping duration corresponding to the same position in the first movement track and the second movement track is longer than a preset duration may be any one of the following embodiments:

the first implementation mode comprises the following steps: the overlapping duration corresponding to at least one position in the same position in the first moving track and the second moving track is longer than the preset duration. For example, assuming that the moving trajectory of the UE1 is cell 1 → cell 2 → cell 3, and the moving trajectory of the UE2 is cell 4 → cell 2 → cell 5, and the time that the UE1 is in cell 2 is 8:00 to 9:00, and the time that the UE2 is in cell 2 is 8:30 to 9:15, the same position cell 2 exists in the moving trajectories respectively corresponding to the UE1 and the UE2, and the overlapping duration that the UE1 and the UE2 are in the cell 2 is 30 minutes (i.e., 8:30 to 9:00) longer than a preset duration (assumed to be 10 minutes), so the NWDAF network element may determine that the overlapping duration corresponding to the same position in the moving trajectories of the UE1 and the UE2 is longer than the preset duration.

The second embodiment: the same positions in the first movement track and the second movement track comprise continuous same positions (namely, the same position change continuously occurs to the first terminal and the second terminal), and the overlapping duration corresponding to at least one position in the continuous same positions is longer than the preset duration. For example, the moving trajectory of the UE1 is cell 1 → cell 2 → cell3 → cell 4 → cell 5, and the moving trajectory of the UE2 is cell 6 → cell 2 → cell3 → cell 4 → cell 7, then the continuous same positions cell 2, cell3 and cell 4 exist in the moving trajectories respectively corresponding to the UE1 and the UE2, and when the overlapping duration of the UE1 and the UE2 in any one or more of the cells 2, cell3 and cell 4 is greater than the preset duration, the NWDAF network element may determine that the overlapping duration corresponding to the same position in the moving trajectories of the UE1 and the UE2 is greater than the preset duration.

The third embodiment is as follows: the same position in the first moving track and the second moving track comprises a plurality of positions, and the sum of the overlapping duration corresponding to each position is greater than the preset duration. For example, suppose that the moving track of the UE1 is cell 1 → cell 2 → cell3, the moving track of the UE2 is cell 4 → cell 2 → cell3, and the time when the UE1 is in cell 2 and cell3 is 8:00 to 9:00, 9:00 to 10:00, respectively, the time when the UE2 is in cell 2 and cell3 is 8:30 to 9:15, 9:15 to 10:30, respectively, the same positions cell 2 and cell3 exist in the moving tracks corresponding to the UE1 and the UE2 respectively, and, the overlapping duration of the UE1 and the UE2 at the cell 2 is 30 minutes (i.e., 8:30 to 9:00), the overlapping duration at the cell3 is 45 minutes (i.e., 9:15 to 10:00), that is, the sum of the overlapping time lengths of the UE1 and the UE2 in the cell 2 and the cell3 is 75 minutes, which is greater than the preset time length (assumed to be 60 minutes), therefore, the NWDAF network element may determine that the sum of the overlapping durations corresponding to the same positions in the movement trajectories of the UE1 and the UE2 is greater than the preset duration.

The fourth embodiment: the same positions in the first moving track and the second moving track comprise continuous same positions, and the sum of the overlapping duration corresponding to the continuous same positions is greater than the preset duration.

For example, if the moving trajectory of the UE1 is cell 1 → cell 2 → cell3, and the moving trajectory of the UE2 is cell 4 → cell 2 → cell3, and the times of the UE1 in the cell 2 and the cell3 are 8:00 to 9:00, 9:00 to 10:00, respectively, and the times of the UE2 in the cell 2 and the cell3 are 8:30 to 9:15, and 9:15 to 10:30, respectively, the sum of the overlapping durations of the UE1 and the UE2 in the cell 2 and the cell3 is 75 minutes and is greater than the preset duration (assumed to be 60 minutes), so the NWDAF may determine that the sum of the overlapping durations corresponding to the same positions in the moving trajectories of the UE1 and the UE2 is greater than the preset duration. If the moving track of the UE1 is cell 1 → cell 2 → cell5 → cell3, the moving track of the UE2 is still cell 4 → cell 2 → cell3, that is, the moving tracks of the two UEs do not have continuous identical positions, at this time, the NWDAF network element may determine that the sum of the overlapping durations corresponding to the identical positions in the moving tracks of the UE1 and the UE2 is not greater than the preset duration.

The data analysis network element may also determine, by combining any multiple of the four embodiments, whether the overlapping duration corresponding to the same position in the two movement trajectories is longer than a preset duration, which is not limited in this embodiment.

After determining the second terminal, the data analysis network element may execute step S203, and generate a corresponding analysis result for the second terminal. In this embodiment, the analysis result may include any one or more of the following information:

the identification information of the second terminals, the number of the second terminals, the information analysis result of the second movement track, the activity analysis result of the second terminals, the risk analysis result of the second terminals, and the information analysis result of the third movement track. The third movement trajectory may be at least a part of the overlapping trajectory between the first movement trajectory and the second movement trajectory, specifically, a partially overlapping trajectory, or a completely overlapping trajectory. Optionally, when the analysis result generated by the data analysis network element includes identification information of the second terminal, and the number of the second terminals is multiple, 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 any one or more of a second position where the second terminal is located, information of time corresponding to the second position where the second terminal is located (for example, start time, end time, or dwell time of the second terminal being located at the second position), information of a same position in the first movement track and the second movement track, and information of overlap time corresponding to the same position in the first movement track and the second movement track (for example, a time period when the first terminal and the second terminal are located at the same position at the same time).

The activity analysis result of the second terminal may be used to indicate the mobility level or the session level of the second terminal in the network. In some examples, the activity analysis result of the second terminal may specifically be any one or more of a numerical value used for indicating the activity level of the second terminal, a level used for indicating the activity level of the second terminal, the number of times of re-registration of the second terminal in the network, the number of times of location change of the second terminal in the network, the number of times of entering the preset location by the second terminal, the number of services initiated when the second terminal is at the preset location, and the number of times of services initiated when the second terminal is at the preset location. In a further possible embodiment, the value used for indicating the activity level of the second terminal and/or the level used for indicating the activity level of the second terminal may also be determined by the data analysis network element according to any one or more of the number of times of re-registration of the second terminal in the network, the number of times of location change of the second terminal in the network, the number of times of entry of the second terminal into the preset location, the number of services initiated when the second terminal is at the preset location, and the number of times of services initiated when the second terminal is at the preset location.

Optionally, the activity analysis result of the second terminal may further be refined according to a second location where the second terminal is located and/or a difference of a service initiated by the second terminal. As an example, different weight parameters may be set for different second locations where the second terminals are located, for example, in an epidemic situation monitoring scenario, a second location a with a higher disease infection rate may be set with a larger weight parameter, and a second location B with a lower disease infection rate may be set with a smaller weight parameter, so that the activity of the second terminal located at the second location a may be higher/greater than the activity of the second terminal located at the second location B. In another example, different weight parameters may also be configured for different services initiated by the second terminal, for example, a larger weight parameter may be set for the type a service (for example, in an epidemic situation monitoring scenario, a medical service, etc.), and a smaller weight parameter may be set for the type B service (for example, a game service, etc.), so that the activity level corresponding to the second terminal initiating the type a service is higher/greater than the activity level corresponding to the second terminal initiating the type B service.

The risk analysis result of the second terminal may specifically include any one or more of a risk category, a risk degree, and a risk resolution time of the second terminal.

The risk category of the second terminal may indicate a risk category to which the user holding the second terminal belongs, for example, the second terminal may be classified into a category with a greater risk, a category with a smaller risk, and a category without a risk, so as to indicate that the user holding the second terminal may be classified into a user with a greater risk (e.g., an infected risk in an epidemic situation monitoring scenario), a user with a smaller risk, and a user without a risk, and so on. Of course, the specific implementation of the risk category of the second terminal is not limited to the above example.

The risk degree may be used to represent the risk degree of the user having the second terminal, for example, in an epidemic situation monitoring scenario, the risk degree may represent the risk degree of the user having the second terminal being infected. In some examples, different levels, values, etc. may be defined to characterize the level of risk. For example, four levels of "high", "medium", "low", and "no" may be used as the indication of the high or low degree of risk, wherein "high" means higher risk, "no" means no risk, and the like. For another example, letters or numerical values may be used as the indicators of the high or low risk levels, such as "a", "B", "C", and "D" to sequentially represent high, medium, low, and no risk, or "3", "2", "1", and "0" to sequentially represent high, medium, low, and no risk. For another example, the degree of risk may be represented by a value, such as a value between 0 and 100, and the larger the value, the higher the degree of risk, and the smaller the value, the lower the degree of risk. Further, when the levels of the risk degrees are represented by different levels, the data analysis network element may further determine the level of the risk degrees according to the numerical value representing the risk degrees of the second terminal, for example, when the numerical value is between 70 and 100, the level of the risk degrees of the second terminal may be determined as "high", and when the numerical value is between 30 and 70, the level of the risk degrees of the second terminal may be determined as "medium", and the like. For a specific implementation manner of characterizing the degree of risk, the embodiment is not limited.

The risk release time may be a time when the second terminal reaches a state of no risk or a low risk degree from the current risk degree. For example, in an epidemic situation monitoring scenario, if the disease latency is 14 days, the risk release time of the second terminal may be 15 days from the day of contact between the second terminal and the first terminal.

Further, when the number of the second terminals is plural, 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 the information analysis result of the aggregated movement trajectory obtained by performing aggregation processing according to the information analysis result of the movement trajectory of each second terminal, and of course, both the information analysis results may be included. The information analysis result of the aggregated movement track may include any one or more of a position in the first movement track where an intersection exists with the second movement tracks of the second terminals, an average value of the overlapping duration of the first movement track and the same position in the second movement tracks of the second terminals, a union set of positions in the second movement tracks of the second terminals or a union set of the second movement tracks, an average activity analysis result of the second terminals, and an average risk degree analysis result. When the activity of each second terminal is represented as a numerical value, the average activity analysis result of the plurality of second terminals may be an average value of the activity numerical values corresponding to the respective second terminals; when the activity of each second terminal is represented as a level, weighting calculation may be performed on each level corresponding to different second terminals in proportion to obtain a weighted value, and cosine classification processing may be performed on the weighted value, and the level indicated by the obtained cosine classification result is used as an average activity analysis result of the plurality of second terminals. An average risk degree analysis result, similar to the average activity degree analysis result, when the risk degree of each second terminal is represented as a numerical value, the average risk degree analysis result of the plurality of second terminals may be an average value of the risk degree numerical values corresponding to the respective second terminals; when the risk degree of each second terminal is represented as a grade, weighting calculation may be performed on each grade corresponding to different second terminals in proportion to obtain a weighted value, cosine classification processing may be performed on the weighted value, and the grade indicated by the obtained cosine classification result is used as an average risk degree analysis result of the plurality of second terminals.

In some possible embodiments, the analysis result determined by the data analysis network element may also include an information analysis result of a third movement trajectory of the second terminal, where the information analysis result of the third movement trajectory may include any one or more of the following information:

identification information of the second terminal corresponding to the information of the third movement track (at this time, the second movement tracks of all the second terminals include the third movement track), the number of the second terminals corresponding to the information of the third movement track, information of each second position included in the information of the third movement track, information of time corresponding to the second position included in the information of the third movement track in which the second terminal is located, an activity analysis result of the second terminal corresponding to the information of the third movement track, and a risk analysis result of the UE2 corresponding to the information of the third movement track. The second terminal corresponding to the information of the third movement track refers to a second terminal of which the movement track includes the third movement track. In this embodiment, the information analysis result of the third movement track is similar to the information analysis result of the second movement track of the second terminal, and specific reference may be made to the description of the relevant part of the information analysis result of the second movement track, which is not described herein again.

Similarly, when the number of the second terminals corresponding to the information of the third movement track is multiple, the information analysis result of the third movement track may include an information analysis result of the second movement track of each second terminal, and/or an information analysis result of an aggregated movement track obtained by aggregating the information analysis results of the second movement tracks of the multiple second terminals corresponding to the information of the third movement track. The information analysis result of the aggregated movement tracks of the plurality of second terminals corresponding to the third movement track information is similar to the information analysis result of the aggregated movement tracks of the plurality of second terminals, which may be referred to the description of the relevant parts specifically, and is not repeated here.

In addition, the analysis result fed back to the first network element by the data analysis network element may include, in addition to the above-mentioned related information of the second terminal, related information of the first terminal, such as any one or more of information including a first movement trajectory of the first terminal, an activity analysis result of the first terminal, and a risk analysis result of the first terminal.

Further, when the analysis result fed back to the first network element by the data analysis network element includes a plurality of information, the analysis result may further include analysis type identification information, so as to identify what information is included in the analysis result by using the analysis type identification information. For example, when the analysis result includes the activity analysis result of the second terminal, the analysis result may further include an analysis type identifier of the activity analysis result.

In some possible embodiments, when the request message sent by the first network element to the data analysis network element further includes the association level information, and the level of the second terminal is not consistent with the target level of the terminal represented by the association level information, the data analysis network element may further determine, according to the information of the second movement trajectory of the second terminal, a next-level terminal corresponding to a movement trajectory of an intersection with the second movement trajectory, thereby determining the related information of the next-level terminal, and feeding back the related information to the data analysis network element along with the analysis result. The specific implementation manner of determining the related information of the terminal at the next level according to the information of the second movement track is similar to the specific implementation manner of determining the related information of the second terminal according to the information of the first movement track, and is not described herein again. According to the above process, the related information of the terminal of the target level can be determined step by step. In this way, the analysis result fed back to the first network element by the data analysis network element may include identification information of the target level terminals, the number of the target level terminals, an information analysis result of the movement trajectory of the target level terminals, an activity analysis result of the target level terminals, and a risk analysis result of the target level terminals; or, the analysis result fed back to the first network element by the data analysis network element may include, in addition to the target-level related information, related information from an initial-level terminal (the first terminal) to a previous-level terminal at the target level.

After receiving the analysis result sent by the data analysis network element, the first network element may determine a corresponding processing policy according to the analysis result, so that the first network element executes the processing operation corresponding to the processing policy. For example, when the analysis result received by the first network element includes the identifier of the second terminal, the first network element may send instruction information to the second terminal to instruct the second terminal that the movement track of the second terminal intersects with the first movement track, so that the user holding the second terminal can know that the user holding the second terminal contacts the user holding the first terminal. Specifically, in an epidemic situation monitoring scenario, when the analysis result includes the identifier of the second terminal and the activity analysis result of the second terminal, if the activity analysis result of the second terminal is at a "high" level, it is characterized that the user holding the second terminal is infected with a high possibility, the first network element may send corresponding warning information to the second terminal according to the identifier of the second terminal to inform the user that the user has contacted with the diagnosed user, so as to facilitate the user to perform isolation or treatment in time.

As an example, when a request message sent by a first network element to a data analysis network element includes first specified area information and/or first specified time information, a data analysis result requested by the first network element is an analysis result corresponding to the first specified area information and/or the first specified time information, so that the first network element may further determine, according to the analysis result, a processing policy corresponding to the first specified area information and/or the first specified time information to perform a processing operation corresponding to the processing policy. For example, the first network element may send notification information to all terminals whose moving tracks are located in the area indicated by the first designated area information and/or whose moving tracks are within the time period indicated by the first designated time information, so as to notify the terminals of relevant information about the second terminal, such as notifying the terminals of the risk level of the second terminal in the first designated area or the first designated time. Still alternatively, the first network element may determine the risk level of the area according to the number of the second terminals located in the area indicated by the first designated area information (in general, the greater the number of the second terminals, the greater the risk level), so as to adopt the same processing policy according to the risk level of the area, where different risk levels may correspond to different processing policies.

When the analysis result received by the first network element includes the information analysis result of the third movement trajectory, the first network element may determine, according to the information analysis result of the third movement trajectory, a processing policy corresponding to the information of the third movement trajectory, so that the first network element may perform a corresponding operation according to the processing policy. For example, the first network element may send a notification message to all terminals intersecting the third movement track, or all terminals located closer to the third movement track, so as to notify the user holding the terminals to avoid going to the position included in the third movement track (i.e. the position passed by the second terminal), and so on.

In this embodiment, the data analysis network element determines the second terminal according to the information of the first movement track including the location information and the time information, and in other possible implementations, the information of the first movement track may also only include the location information, and at this time, when determining that the second movement track of the second terminal and the first movement track have an intersection, in one possible implementation, the data analysis network element may specifically determine whether the same location exists between the first movement track and the second movement track, and if so, determine that the intersection exists between the first movement track and the second movement track; in another possible implementation manner, on the basis that the data analysis network element determines that the same positions exist, it is further determined whether the number of the same positions is greater than a preset number, if so, it is determined that the two movement tracks have an intersection, and if not, it is determined that the two movement tracks do not have an intersection. In another possible implementation manner, on the basis that the data analysis network element determines that the first movement track and the second movement track have the same position, it is further determined whether the same position is continuous in the first movement track and/or the second movement track, if so, it is determined that the two movement tracks have an intersection, and if not, it is determined that the two movement tracks do not have an intersection. In yet another possible implementation manner, the data analysis network element may further determine, according to the first specified time information, which terminals generated the movement trajectory and intersection with the first movement trajectory exist in the time period represented by the first specified time information.

In this embodiment, a user may carry a terminal with him, and the moving track of the terminal is also the moving track of an object carrying the terminal, so that the data analysis network element may obtain information of the first moving track, where the information of the first moving track may specifically include information of a first location and time information corresponding to the first location; then, the data analysis network element may determine, according to the information of the first movement trajectory, that an intersection exists between a second movement trajectory of the second terminal and the first movement trajectory, since when there is an intersection between movement trajectories of the terminals, it may generally be considered that there is direct or indirect contact between the terminals, so that after determining the second terminal, the data analysis network element may send an analysis result corresponding to the second terminal to the first network element, where the analysis result may include second terminal-related information, such as any one or more of identification information of the second terminal, the number of the second terminals, an information analysis result of the movement trajectories of the second terminals, an activity analysis result of the second terminals, a risk analysis result of the second terminals, and an information analysis result of the third movement trajectories, so that the first network element obtains the information related to the second terminal (directly or indirectly) in contact with the terminal, wherein the third movement trajectory may include at least a portion of an overlapping trajectory between the first movement trajectory and the second movement trajectory. Compared with a manual checking mode, the information of the analysis result of the second terminal corresponding to the second movement track with intersection with the first movement track is obtained based on the process, so that the detection efficiency can be improved, and the possibility of errors can be reduced.

For convenience of understanding, the technical solution of the embodiment of the present application is exemplarily described below with reference to a specific scenario of epidemic situation monitoring. It should be noted that the scenario embodiment shown in fig. 3 is only used as an exemplary illustration, and is not used to limit the technical solution of the embodiment of the present application to the example shown in fig. 3 in specific implementation. For example, the technical solution of the embodiment of the present application may be applied to other scenarios of epidemic situation elimination monitoring, or steps and/or information content shown in fig. 3 may be added or deleted as appropriate, for example, the following request message may only include any one or more of the identifier of the UE1, the analysis type identifier information, the association level information, the first specified area information, the first specified time information, and the determination condition, and specific implementation details of some embodiments may be described with reference to relevant places in the foregoing embodiment of the solution. The method specifically comprises the following steps:

s301: the AF network element or the NF network element sends a request message to the NWDAF network element, where the request message carries an identifier of the specified UE1, analysis type identifier information, a determination condition, association level information, first specified area information, and first specified time information.

The user will typically carry with him or her a terminal device such as a cell phone, wearable device, etc., and thus, when it is desired to determine other users who have (direct or indirect) contact with the user holding the UE1, it may be determined whether there is contact between the users by using information of movement trajectories between UEs held by the respective users. Therefore, in the present embodiment, the UE1 related information may be utilized to determine the UE2 related information in contact with the UE 1.

In a specific implementation, the AF network element or the NF network element in the network may send a request message to the NDWAF network element to request information about the UE2 in contact with the UE 1. In some examples, it may be the AF network element triggered by the UE1 or the NF network element requesting the NWDAF network element to feed back the analysis result corresponding to the UE1 to determine whether the UE1 has contact with certain UE(s) 2 at certain position(s), time information of the contact at the position (such as start time, end time, and contact duration of the start contact, etc.), and so on. In an epidemic monitoring scenario, if a UE2 is determined to have an intersection of movement trajectories with a certain UE(s) 1, the user holding the UE2 has a greater likelihood of being infected, so that one or more UEs 2 infected with the UE1 can be determined based on the information of the movement trajectories of the UE 1. In other examples, the UE2 may generate the request message, forward the request message to the NWDAF network element through the AF network element or the NF network element, and forward the analysis result fed back by the NWDAF network element to the UE2 through the AF network element or the NF network element. In an epidemic monitoring scenario, the UE2, by initiating a request message and obtaining the analysis results, can determine whether the UE2 has contact with certain UEs 1 held by users confirming infection with disease, in order for the users holding the UE2 to confirm whether themselves are infected and the risk of infection. In still other examples, the AF network element or the NF network element may request to compare whether contact exists between the UE1 and the UE2, and may send a request message containing identification information of the UE1 and the UE2, or send a request message containing information of a movement trajectory of the UE1 and information of a movement trajectory of the UE2, or a request message including identification information of one of the UEs and movement trajectory information of the other UE, to the data analysis network element to request the data analysis network element to determine whether contact exists between the UE1 and the UE 2. For example, in an epidemic monitoring scenario, if the UE1 and the UE2 are terminals held between friends and couples respectively, after one of the two parties is confirmed to be infected, the other party is determined to be infected and/or the risk level of infection by determining whether an intersection exists between the movement tracks of the UE1 and the UE 2.

The NF network element may be an AMF network element, a UDM network element, or other NWDAF network element. When the network element initiating the request message is an AF network element of the third party, the request message may be transmitted to the requested NWDAF network element through the NEF network element. Further, when the NEF network element forwards the request message, the external information that is contained in the request message and is not recognizable by the NWDAF network element may be mapped and converted into internal information that is recognizable by the NWDAF network element, so as to facilitate information recognition of the NWDAF network element. For example, the request message may include geographic location information corresponding to the specified area information, where the geographic location information may be represented by latitude and longitude, an administrative area, or the like, and the NEF network element may map the geographic location information to network location information that is recognizable by the NWDAF network element, such as a cell, a Tracking Area (TA), or the like. For another example, if the identification information of the UE1 included in the request message is external identification information (e.g., GPSI), the NEF element may convert the identification information of the UE1 from the external identification information to another internal identification information (e.g., SUPI).

In addition, the NEF network element may also authenticate the first network element. Specifically, the NEF network element may determine whether the first network element has the right to obtain the analysis result, determine to forward the request message to the data analysis network element if the first network element has the right to obtain the analysis result, and deny forwarding of the request message to the first network element if the first network element does not have the right to obtain the analysis result. For example, the NEF network element may first determine whether a request message sent by the AF network element includes emergency indication information, where the emergency indication information is used to indicate the request message sent by the first network element due to an emergency event or a public security event, if so, determine that the AF network element has an authority to acquire an analysis result, and forward the request message to the data analysis network element for the AF network element, and if not, determine that the AF network element does not have the authority to acquire the analysis result, so that the NEF network element may refuse to forward the request message to the data analysis network element for the AF network element. Therefore, the NEF network element may send the first network element send request message to the data analysis network element only in case of receiving the emergency indication information. Similarly, the NWDAF network element may also authenticate the first network element, and the method refers to the method for authenticating the first network element by the NEF.

The designated UE1, for example, may be a UE held by a confirmed user in an epidemic monitoring scenario in order to determine other UEs 2 that have contact with the UE1, while there is a greater likelihood that the user holding the UE2 is infected due to contact with the confirmed user; alternatively, the designated UE1 may be a UE owned by a user with a greater risk of being infected in an epidemic situation monitoring scenario, so as to determine other users with whom the user has contact, and the like. The number of the UE1 may be one or more, and when the number of the UE1 is multiple, the AF or NF network element may be a request NWDAF network element to feed back information about the UE2 respectively in contact with multiple different UEs 1. As an example, the identification information of the 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. For example, the request message may include an analysis type identifier requesting the number of UEs 2, and may be used to request the NWDAF network element to feed back the number of UEs 2 overlapping with the movement trajectory of the UE 1; for another example, the request message may include an analysis type identifier of the activity of the requesting UE2, and is used to request the NWDAF network element to feed back the activity analysis result of the UE 2. In some examples, the request message may include one or more analysis type identification information for requesting one or more different contents from the NWDAF network element. In yet another example, the request message may also be analysis type identification information including a higher order, that is, when the request message includes the analysis type identification information including the higher order, the NWDAF network element may be instructed to feed back analysis results corresponding to multiple analysis types, such as the above-mentioned identification, number of the UE2, information analysis result of the second movement trajectory, activity analysis result, risk analysis result, and the like.

Association level information may be used to indicate a target level of the UE associated with the movement trajectory of the UE 1. Illustratively, the association level information may be expressed as a numerical value. The association between two adjacent generations of UEs (that is, two adjacent levels of terminals) may specifically mean that the movement trajectories of the two generations of UEs have an intersection. In an epidemic monitoring scenario, a first generation UE (i.e., UE1) may be a UE held by a disease confirmed user, a second generation UE may be a UE held by a user in contact with the presence of a disease confirmed user (i.e., a suspected infected user), a user holding a third generation UE may be a user in contact with a held user holding a second generation UE, and so on. When the association level information is specifically a numerical value N (N is a positive integer greater than 1), the AF network element or the NF network element may request the NWDAF network element to feed back an analysis result corresponding to the nth generation UE, or feed back an analysis result corresponding to any one of the first generation UE to the nth generation UE, or the like.

In some embodiments of practical applications, the association level information may also be pre-configured in the NDWAF network element. 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, the NWDAF network element may default to feed back the analysis result corresponding to the second-generation UE, the analysis result corresponding to the third-generation UE, the analysis result corresponding to the nth-generation UE, and the like. Of course, when the request message carries the associated hierarchy information (for example, N is 2), and the NWDAF network element configures associated hierarchy information (for example, N is 5) in advance, the NWDAF network element may feed back a corresponding analysis result (for example, only an analysis result corresponding to the second generation UE is fed back, but not analysis results corresponding to the third generation to the fifth generation) based on the associated hierarchy information carried in the request message.

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. In some possible embodiments, the request message may further include second specified area information, which may be used to determine a movement trajectory of the UE1 located within the second specified area, so that the NWDAF network element determines the analysis result based on the movement trajectory within the second specified area. In a further possible embodiment, when only the first specified area information is included in the request message, the data analysis network element may also take the movement trajectory of the UE1 within the first specified area as the first movement trajectory.

The first specific time information may be used to indicate to the NWDAF network element which time period to feed back the analysis result. In some possible embodiments, the request message may further include second designated time information, which may be used to determine a movement trajectory of the UE1 within a time period indicated by the second designated time information as the first movement trajectory, so that the NWDAF network element determines an analysis result based on the movement trajectory generated by the UE1 during the time period. The first designated time information or the second designated time information may be information of a historical time, information of a current time, or information of a future time. In a further possible embodiment, when only the first specified time information is included in the request message, the data analysis network element may also use a movement trajectory generated by the UE1 within a time period indicated by the first specified time information as the first movement trajectory.

The determination condition is a determination condition for determining whether the two movement trajectories intersect, and when the movement trajectories respectively corresponding to the two UEs satisfy the determination condition, it may be determined that the movement trajectories of the two UEs intersect. The movement track of the UE refers to a track formed by network positions where the UE is located in sequence.

In other possible embodiments, the decision condition may also be pre-configured in the NDWAF network element, and thus need not 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, it is not necessary that the request message sent each time carries the determination condition.

As an optional design, the determination condition may also be 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 of the movement trajectories of the UE1 and the UE2 meets the determination condition, the NWDAF network element reports the corresponding analysis result to the AF network element or NF network element.

In this embodiment, an example is given that an AF network element or an NF network element sends a request message to request to obtain an analysis result corresponding to the UE1, and in other possible embodiments, the NWDAF may also actively feed back the analysis result corresponding to the UE1 to the AF network element or the NF network element, for example, the NWDAF may periodically feed back the analysis result corresponding to the UE1, or actively feed back the analysis result corresponding to the UE1 under a certain report condition.

S302: and the NWDAF network element acquires the position related information of the UE1 according to the identifier of the UE1 contained in the request message.

In this embodiment, the NWDAF may obtain the location related information corresponding to the UE1 from the AF network element and/or the NF network element according to the identifier of the UE1 included in the request message, where the NF network element may be, for example, an AMF network element, a RAN network element, an OAM network element, a GMLC (gateway mobile location center) network element, an LMF network element, and the like. As an example, the NWDAF network elements may send requests to the network elements to obtain location related information of the UE1 to request the network elements to feed back the location related information of the UE1 to the NWDAF network elements.

In some possible designs, when the other network elements feed back the location related information of the UE1 to the NWDAF network element, the location related information of the other UE may also be fed back to the NWDAF network element. For example, when the request message includes the first specified area information, other UEs located in the first specified area may be in contact with the UE1, and therefore, when the other network elements feed back the location-related information of the UE1 to the NWDAF network element, the location-related information of other UEs in the first specified area may also be fed back to the NWDAF, so that the NWDAF may determine which UEs in the first specified area are in contact with the UE 1. For another example, when the first specified time information is included in the request message, the other network element may feed back, to the NWDAF network element, the position-related information of the other UE within the time period indicated by the first specified time information.

S303: the NWDAF network element determines information of a first movement track of the UE1 according to the position-related information of the UE1, where the information of the first movement track includes information of a first position and information of a time corresponding to the first position.

In this embodiment, information of the first movement trajectory of the UE1 may be generated according to a position (hereinafter referred to as a first position) where the UE1 is located during the movement and a corresponding time. S304: and the NWDAF network element determines the UE2 corresponding to the second movement track which has intersection with the first movement track of the UE1 according to the judgment condition in the request message.

In this embodiment, the NWDAF network element may determine which UE (hereinafter referred to as UE2) has an intersection with the first movement track of the UE1 according to the determination condition carried in the request message. The UE2 determined by the NWDAF network element may be one UE or multiple UEs.

In this embodiment, assuming that the movement trajectory of the UE2 (hereinafter referred to as the second movement trajectory) intersects with the first movement trajectory, it may be determined that there is contact between the UE2 and the UE1, that is, it may be determined that there is contact between the user holding the UE2 and the user holding the UE 1. The contact in this embodiment is not limited to the two UEs touching physically, and when the two UEs are not touching physically but located at the same position, the two UEs may also be considered to be in contact with each other.

As an example, in this embodiment, the determination condition may specifically be any one or more of the following determination conditions, where the information of the second movement trajectory of the UE2 includes information of the second location and information of a time corresponding to the second location:

(1) the two UEs have the same position in the corresponding movement tracks.

At this time, if the NWDAF network element determines that at least one position in the first movement trajectory of the UE1 is the same as that in the second movement trajectory of the UE2, the NWDAF network element may determine that the movement trajectories of the two UEs have an intersection.

(2) The same position exists in the moving tracks corresponding to the two UEs respectively, and the time corresponding to the same position at least partially overlaps.

At this time, if the NWDAF network element determines that at least one position in the movement trajectory of the UE1 is the same as that of the UE2, and the time when the UE1 is at the same position at least partially overlaps with the time when the UE2 is at the position, it may determine that the movement trajectories of the two UEs intersect.

(3) The two UEs respectively have the same position in the corresponding movement tracks, and the time interval of the start time of the UE1 and the start time of the UE2 at the same position is less than the preset time interval.

At this time, if the NWDAF network element determines that at least one position in the movement trajectory of the UE1 is the same as that in the movement trajectory of the UE2, and the time interval between the starting time of the UE1 entering the same position and the starting time of the UE2 entering the same position is less than the preset time interval, it may determine that the movement trajectories of the two UEs intersect.

In this embodiment, the moving speed of the UE1 and the UE2 may be determined according to the time interval between the starting time of each entering of the UE1 and the UE2 into different positions, so that it may be further determined whether the UE1 and the UE2 are located in the same vehicle, for example, whether the UE1 and the UE2 are located in the same bus, according to the moving speed of the UE1 and the UE 2.

(4) The two UEs respectively have the same position in the corresponding movement tracks, and the number of the same positions in the two movement tracks is larger than the preset number.

At this time, if the NWDAF network element determines that at least one position in the movement trajectory of the UE1 is the same as at least one position in the movement trajectory of the UE2, and the number of the same positions is greater than the preset number, it may determine that the movement trajectories of the two UEs have an intersection.

(5) The same position exists in the movement tracks corresponding to the two UEs respectively, and the same position is continuous in the first movement track and/or the second movement track.

(6) The two UEs respectively correspond to the same positions in the movement tracks, and the overlapping duration corresponding to the same positions in the two movement tracks is longer than the preset duration.

At this time, if the NWDAF network element determines that at least one position in the movement trajectory of the UE1 is the same as that in the movement trajectory of the UE2, and the overlapping duration of the UE1 and the UE2 at the same position is greater than the preset duration, it may be determined that the movement trajectories of the two UEs intersect.

For example, a specific implementation that the overlapping duration corresponding to the same position in the two movement trajectories is greater than the preset duration may be any one of the following implementation manners:

the first implementation mode comprises the following steps: the overlap duration corresponding to at least one position in the same position in the moving trajectory of the UE1 and the UE2 is greater than the preset duration.

The second embodiment: there are continuously same positions (i.e., the same position changes of the UE1 and the UE2 continuously occur) in the same positions in the moving tracks of the UE1 and the UE2, and the overlap duration corresponding to at least one position in the continuously same positions is greater than the preset duration.

The third embodiment is as follows: the UE1 has the same position in the moving trajectory of the UE2, and the sum of the overlapping time lengths corresponding to the same position is greater than the preset time length. The fourth embodiment: the same position exists in the same positions in the moving trajectories of the UE1 and the UE2, and the sum of the overlapping time lengths corresponding to successively the same positions in the same positions is greater than the preset time length. With respect to the third embodiment, the fourth embodiment further requires that the sum of the overlapping time lengths be the sum of the overlapping time lengths of the consecutive identical positions.

Of course, the NWDAF network element may also determine whether the overlapping time duration corresponding to the same position in the two movement tracks is greater than the preset time duration by combining any multiple embodiments of the four embodiments, which is not limited in this embodiment.

S305: when the level characterized by UE2 is not consistent with the target level characterized by the association level information in the request message, the NWDAF network element determines the UEs of the remaining respective association levels.

When the level characterized by the UE2 is not the target level characterized by the association level information in the request message, the NWDAF network element may further continue to determine, according to the information of the second movement trajectory of the UE2, the third generation UE corresponding to the movement trajectory intersecting the second movement trajectory of the UE2 (second generation UE). And when the level corresponding to the third generation UE is not the target level represented by the association level information, the NWDAF network element may further determine, according to the information of the movement trajectory of the third generation UE, the fourth generation UE corresponding to the movement trajectory having an intersection with the movement trajectory of the third generation UE. In this way, UEs of respective association levels within the target level may be determined.

The specific embodiment of determining the third generation UE according to the information of the second movement track of the UE2 is similar to the embodiment of determining the UE2 according to the information of the first movement track of the UE1, and can be described with reference to the foregoing description, which is not repeated herein. Similarly, the same is true for the embodiments of the fourth generation UE up to the nth generation UE, where N is the target level number characterized by the association level information.

When the level characterized by the UE2 is consistent with the target level characterized by the association level information in the request message, the NWDAF network element directly performs step S306 after performing step S304.

S306: the NWDAF network element determines an analysis result that includes at least identification information of the UE2, a number of the UEs 2, an information analysis result of a second movement trajectory of the UE2, an activity analysis result of the UE2, a risk analysis result of the UE2, and an information analysis result of a third movement trajectory, wherein the third movement trajectory includes at least a portion of an overlapping trajectory between the first movement trajectory and the second movement trajectory.

After determining the UE2, the NWDAF network element may generate a corresponding analysis result, where the generated analysis result may include at least any one or more of identification information of the UE2, the number of UEs 2, an information analysis result of the second movement trajectory of the UE2, an activity analysis result of the UE2, a risk analysis result of the UE2, and an information analysis result of the third movement trajectory, and this embodiment includes the above 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, specifically, a partially overlapping trajectory, or a fully overlapping trajectory.

Optionally, when the analysis result generated by the NWDAF network element includes the identification information of the UE2 and the number of UEs 2 is multiple, the identification information of multiple UEs 2 may be fed back in the form of an identification list.

The information analysis result of the second movement track of the UE2 may include any one or more of information of the second location where the UE2 is located, information of a stay time corresponding to the UE2 located at the second location (e.g., a start time when the UE2 enters the second location, an end time when the UE2 leaves the second location, or a time period corresponding to each second location, etc.), information of the same position in the first movement track of the UE1 and the second movement track of the UE2, and information of an overlap time corresponding to the same position in the first movement track of the UE1 and the second movement track of the UE2 (e.g., a time period when the UE1 and the UE2 are located at the same position at the same time, etc.).

The result of the activity analysis of the UE2 may be used to indicate how high the UE2 has mobility in the network or how high the session is. As an example, the activity analysis result of the UE2 may be expressed as a specific numerical value, for example, the activity analysis result may be expressed as a numerical value of 1 to 100, wherein the larger the numerical value, the higher the mobility degree or the conversation degree of the UE2 in the network is represented, and the smaller the numerical value, the lower the mobility degree or the conversation degree of the UE2 in the network is represented; the activity analysis result can be represented as five grades, for example, five grades of "high", "higher", "medium", "lower" and "low" (arranged according to the activity level), and the like.

In other examples, the activity analysis result of the UE2 may also be expressed as the number of times the UE2 re-registers in the network, for example, the UE2 may complete different registration procedures in different registration areas of the same network during the moving process, so that the number of times the UE2 re-registers in the network may be used as the activity analysis result indicating the mobility level or the session level of the UE2 in the network; further, the number of times of re-registration of the UE2 in the network may specifically be the number of times of re-registration of the UE2 within a preset time duration, so that the activity analysis result of the UE2 may specifically be expressed as the frequency of re-registration of the UE2 in the network, and the like.

In yet another example, the activity analysis result of the UE2 can also be expressed as the number of location changes of the UE2 in the network, for example, when the second movement track of the UE2 is cell 1 → cell 2 → cell3 → cell 4, the number of location changes of the UE2 in the network is 3; further, the number of location changes of the UE2 in the network may specifically be the number of location changes of the UE2 within a preset time duration, so that the result of activity analysis of the UE2 may specifically be represented as the frequency of location changes of the UE2 in the network, and the like.

In yet another example, the result of the activity analysis of the UE2 may also be expressed as a number of times the UE2 enters a preset location (i.e., one or more particular locations), or a frequency of times the UE2 enters the preset location within a preset duration.

In yet another example, the activity analysis result of the UE2 may also indicate the number of services initiated by the UE2 when the UE2 is in the preset location, or the number of times of services initiated by the UE 3526 when the UE 3526 is in the preset location, where the services may be specific services included in a specific service set, or any services that the UE2 may initiate. The number of services initiated by the UE2 may be equal to the number of services initiated by the UE2, that is, the services initiated by the UE2 each time are different; alternatively, the number of services initiated by the UE2 is numerically smaller than the number of services initiated by the UE2, for example, the UE2 initiates service requests for the same service multiple times.

For example, the activity analysis result of the UE2 may include any one or more of a value indicating the activity level of the UE2, a level indicating the activity level of the UE2, the number of times of re-registration of the UE2 in the network, the number of times of location change of the UE2 in the network, the number of times of entering the preset location by the UE2, the number of services initiated when the UE2 is in the preset location, and the number of times of services.

In some optional embodiments, the NWDAF network element may determine the value and/or the level indicating the activity level of the UE2 according to any one or more of the number of times the UE2 re-registers in the network, the number of times the UE2 changes its location in the network, the number of times the UE2 enters the preset location, the number of times the UE2 initiates traffic when it is in the preset location, and/or the number of times of traffic. For example, when the number of location changes of the UE2 in the network is 10, greater than the threshold number of location changes corresponding to the rank "high", and less than the threshold number of location changes corresponding to the rank "high", the NWDAF network element may determine that the rank indicating the high or low activity level of the UE2 is "high".

In a further possible embodiment, the activity analysis result of the UE2 may also be finely adjusted according to the location of the UE2 and/or the service initiated by the UE 2. In one design, different weight parameters may be set for different positions where the UE is located, for example, in an epidemic situation monitoring scenario, a position a with a higher disease infection rate may be set with a larger weight parameter, and a position B with a lower disease infection rate may be set with a smaller weight parameter, so that the activity of the UE located in the position a may be higher than/greater than the activity of the UE located in the position B. In another design, different weight parameters may also be configured for different services initiated by the UE, for example, a larger weight parameter may be set for the type a service (for example, a medical service in an epidemic situation monitoring scenario), and a smaller weight parameter may be set for the type B service (for example, a game service, etc.), so that the activity level corresponding to the UE initiating the type a service is higher/greater than the activity level corresponding to the UE initiating the type B service.

In some practical scenarios, the activity analysis result of the UE2 may also be used to indirectly reflect the relevance of the UE2 to the emergency event, and the relevance of the UE with higher activity to the emergency event may be higher than the relevance of the UE with lower activity to the emergency event. For example, in an epidemic situation monitoring scenario, an emergency may be represented as a suspected infected event, and when the activity of the UE is high, the UE is characterized to have a high correlation with the emergency, that is, the probability that a user holding the UE is suspected to be infected by a disease is relatively high; and when the activity of the UE is low, the relevance of the UE and the emergency is low, and the possibility that the user holding the UE is suspected to be infected by the disease is low. Further, when the correlation between the activity analysis result of the UE2 and the emergency event shows a value or a level, if the value is greater than a preset value or the level is higher than a preset level, the NWDAF network element or another network element (which may obtain the activity analysis result of the UE2 from the NWDAF in advance) may further perform a preset processing operation for the emergency event, for example, may send an indication message to the UE2 to indicate that the second movement track of the UE2 intersects with the first movement track of the UE 1.

The risk analysis result of the UE2 may specifically include any one or more of the risk category, the risk degree, and the risk release time of the UE 2.

The risk category of the UE2 may be utilized to indicate a risk category to which the user holding the UE2 belongs, such as a category into which the UE2 may be classified as a higher risk category, a smaller risk category, and a non-risk category, so as to indicate that the user holding the UE2 may be classified as a user with a higher risk (e.g., a risk of infection in an epidemic situation monitoring scenario), a user with a lower risk, and a non-risk user, etc. As an example, the risk categories may be represented as a first category, a second category, a third category, and the like according to the risk level, and the different categories may be divided according to the relevance of the UE2 to the emergency event, such as the risk categories for the UE2 according to the relevance of the UE2 to the emergency event indirectly reflected by the activity analysis result. Wherein a strong correlation between the UE2 and the emergency event may be characterized when the risk analysis result indicates that the user holding the UE2 belongs to the first category, a medium correlation between the UE2 and the emergency event may be characterized when the risk analysis result indicates that the user holding the UE2 belongs to the second category, and a weak correlation between the UE2 and the emergency event may be characterized when the risk analysis result indicates that the user holding the UE2 belongs to the third category. Of course, the specific implementation of the UE2 risk category is not limited to the above examples.

The risk level may be used to characterize the level of risk associated with an emergency event for the user holding the UE 2. When the risk degree is high, the user can be characterized to have high possibility of being related to the emergency, for example, in an epidemic situation monitoring scene, the user can be characterized to have high possibility of being infected, and correspondingly, when the risk degree is low, the user can be characterized to have low possibility of being infected. In some examples, different levels, values, etc. may be defined to characterize the level of risk. For example, four levels of "high", "medium", "low", and "no" may be used as the identifiers for representing the degree of risk, where "high" means higher risk, "no" means no risk, and the like. For another example, letters or numerical values may be used as the identifiers of the high risk level and the low risk level, such as "a", "B", "C", and "D" to sequentially represent high risk, medium risk, low risk, and no risk, or "3", "2", "1", and "0" to sequentially represent high risk, medium risk, low risk, and no risk, etc. For another example, the degree of risk may be represented by a value, such as a value between 0 and 100, and the larger the value, the higher the degree of risk, and the smaller the value, the lower the degree of risk. Further, the NWDAF network element may also determine the level of risk degree according to the value characterizing the risk degree of the UE2 when the level of risk degree is represented in different levels, such as "high" for the UE2 when the value is between 70 and 100, and "medium" for the UE2 when the value is between 30 and 70. For a specific implementation manner of characterizing the degree of risk, the embodiment is not limited.

The risk release time may be a time when the UE reaches no risk or a low risk profile from the current risk level. For example, in an epidemic monitoring scenario, if the latency of a disease is 14 days, the risk release time for UE2 that has contact with UE1 may be day 15 from the day of contact. It can be understood that, assuming that the user holding the UE1 is a confirmed user, the user holding the UE2 who has made contact with the confirmed user may be considered as having no risk of disease occurrence (i.e., the user is not infected) if there is no sign of disease occurrence within 15 days after 14 days of the lapse of the disease latency, so that the 15 th day after the contact between the UE2 and the UE1 (or other times after the 15 th day) may be used as the risk resolution time of the UE 2.

Further, when the number of the UEs 2 is multiple, the information analysis result of the second movement track of the UE2 may include the information analysis result of the movement track of each UE2, or may include the information analysis result of the aggregated movement track obtained by performing aggregation processing according to the information analysis result of the movement track of each UE2, or of course, may include both the two analysis results. The information analysis result of the aggregated movement track may include any one or more of a position in the first movement track of the UE1 where the position intersects with the movement track of each UE2, an average value of the overlapping time lengths of the first movement track of the UE1 and the same position in the movement track of each UE2, a union of positions in the movement tracks of each UE2, or a union of movement tracks.

When the number of the UEs 2 is multiple, the activity analysis result of the UE2 may include the activity analysis result of each UE2, or may include an aggregation activity analysis result obtained by performing aggregation processing according to the activity analysis result of each UE2, or of course, may include both the activity analysis result and the aggregation activity analysis result. The polymerization activity analysis results may include: an average activity analysis result of the plurality of UEs 2 or an activity variance analysis result of the plurality of UEs 2. When the activity of each UE2 is represented as a numerical value, the average activity analysis result of the UEs 2 may be an average value of the activity numerical values corresponding to the UEs 2, and the activity variance analysis result of the UEs 2 may be a variance of the activity numerical values corresponding to the UEs 2; when the activity of each UE2 appears as a class, the classes corresponding to different UEs 2 may be weighted proportionally to obtain a weighted value, and the weighted value is subjected to cosine classification processing, and the class indicated by the obtained cosine classification result is taken as an average activity analysis result of the UEs 2, and the activity variance analysis result of the UEs 2 may be a variance corresponding to the activity class corresponding to each UE 2.

When the number of the UEs 2 is multiple, the risk analysis result of the UE2 may include the risk analysis result of each UE2, or may include an aggregation risk analysis result obtained by performing aggregation processing according to the risk analysis result of each UE2, or of course, may include both the risk analysis result and the aggregation risk analysis result. The aggregated risk analysis results may include: an average risk analysis result of a plurality of UEs 2 or a risk analysis of variance result of a plurality of UEs 2. An average risk degree analysis result, similar to the average activity degree analysis result, when the risk degree of each UE2 is expressed as a numerical value, the average risk degree analysis result of the plurality of UEs 2 may be an average of the risk degree numerical values corresponding to the respective UEs 2, and the risk degree variance analysis result of the plurality of UEs 2 may be a variance of the risk degree numerical values corresponding to the respective UEs 2; when the risk level of each UE2 is represented as a level, the weighted value may be obtained by performing weighted calculation on the levels corresponding to different UEs 2 in proportion, and performing cosine classification processing on the weighted value, and the level indicated by the obtained cosine classification result may be used as an average risk level analysis result of the UEs 2, and the risk level analysis result of the UEs 2 may be a variance of the risk level levels corresponding to the UEs 2.

The analysis result determined by the NWDAF network element may also include an information analysis result of a third movement track, where the third movement track includes at least a part of an overlapping track between the first movement track and the second movement track, and the information analysis result of the third movement track may include any one or more of the following information:

the identification information of the UE2 corresponding to the information of the third movement trajectory, the number of UEs 2 corresponding to the information of the third movement trajectory, the information of each position included in the information of the third movement trajectory, and the information of the time corresponding to the position included in the information of the third movement trajectory (for example, the start time, the end time, and the duration corresponding to the entire third movement trajectory, or the start time, the end time, the duration, and the like of each position in the third movement trajectory), the result of the activity analysis of the UE2 corresponding to the information of the third movement trajectory, and the result of the risk analysis of the UE2 corresponding to the information of the third movement trajectory. The UE2 corresponding to the information of the third movement trajectory refers to a UE whose movement trajectory includes the third movement trajectory. For example, when the first moving track of the UE1 is cell 1 → cell 2 → cell3, and the third moving track is cell 2 → cell3, if the moving track of the UE is cell 2 → cell3 → cell4, the UE may be used as the UE2 corresponding to the information of the third moving track, and if the moving track of the UE is cell 1 → cell 2 → cell4, the UE may not be used as the UE2 corresponding to the information of the third moving track. In this embodiment, the information analysis result of the third movement trajectory is similar to the information analysis result of the second movement trajectory of the UE2, and the only difference is that the third movement trajectory is the entire or partial movement trajectory of the second movement trajectory, and the movement trajectory overlaps with the first movement trajectory. For details, reference may be made to the description of the relevant part of the information analysis result related to the second movement trajectory, which is not described herein again.

Similarly, when the number of the UEs 2 corresponding to the information of the third movement track is multiple, the activity analysis result of the UE2 corresponding to the information of the third movement track may include an activity analysis result of each UE2 corresponding to the information of the third movement track, and/or an aggregation activity analysis result obtained by aggregating the activity analysis results of the UEs 2 corresponding to the information of the third movement track. The aggregation activity analysis result of the plurality of UEs 2 corresponding to the third movement trace information is similar to the aggregation activity analysis result of the plurality of UEs 2, and is different only in that the third movement trace is all or part of the second movement trace, and the movement trace overlaps with the first movement trace. For details, reference may be made to the description of the related parts, which is not repeated herein.

Similarly, when the number of the UEs 2 corresponding to the information of the third movement trajectory is multiple, the risk analysis result of the UE2 corresponding to the information of the third movement trajectory may include a risk analysis result of each UE2 corresponding to the information of the third movement trajectory, and/or an aggregated risk analysis result obtained by aggregating the risk analysis results of the multiple UEs 2 corresponding to the information of the third movement trajectory. The aggregate risk analysis results of the plurality of UEs 2 corresponding to the third movement trace information are similar to the aggregate risk analysis results of the plurality of UEs 2, and only differ in that the third movement trace is the entire or partial movement trace of the second movement trace, and the movement trace overlaps with the first movement trace. For details, reference may be made to the description of the related parts, which is not repeated herein.

In other possible embodiments, the analysis result generated by the NWDAF network element may include information about the UE1 in addition to information about the UE2 (e.g., identification information, number, etc., as described above). The related information of the UE1 may include, for example, any one or more of an information analysis result of the first movement trajectory of the UE1, an activity analysis result of the UE1, and a risk analysis result of the UE 1. Specifically, when the association level of the UE2 is not consistent with the target level represented by the association level information, the NWDAF network element may further determine, according to the above process, related information of the third-generation UE (e.g., identification information, number of the third-generation UE, information analysis result of the movement trajectory, activity analysis result, risk analysis result, etc.) and related information of the fourth-generation UE to the target-level UE according to the information of the second movement trajectory of the UE 2. At this time, the analysis result generated by the NWDAF network element may further include the relevant information of the third generation UE to the UE of the target level. The relevant information of the UE of the next level may be determined according to the relevant information of the UE of the previous level, and the specific determination manner is similar to the above implementation manner for determining the relevant information, such as the identification information and the number of the UE2, which may specifically refer to the above description, and is not repeated herein.

For example, the analysis result generated by the NWDAF network element may include the contents as shown in table 3. The left column in table 3 is the information content included in the analysis result, and the right column in table is the corresponding interpretation of the left information content.

Table 3:

s307: and the NWDAF network element sends a response message to the AF network element or the NF network element, wherein the response message at least comprises the analysis result.

After the NWDAF network element generates the analysis result, a response message including the analysis result may be generated, and the response message may be sent to the AF network element or the NF network element. The response message may include, in addition to the analysis result, an analysis type identifier to indicate which analysis type the corresponding content in the analysis result corresponds to, for example, the response message may include an analysis type identifier 1 to identify the liveness analysis result, an analysis type identifier 2 to identify the risk analysis result, and the like; first indication region information and/or first specified time information may be further included to indicate that the analysis result is an analysis result corresponding to the first indication region and/or an analysis result corresponding to the first specified time.

For example, the NWDAF network element may feed back a response message to the AF network element of the third party through the NEF network element. In the process of forwarding the response message, the NEF network element may also map internal information that is contained in the response message and that is unrecognizable by the AF network element into external information that is recognizable by the AF network element, so as to facilitate information recognition by the AF network element. For example, the response message may include network location information, which may be embodied as a cell, a tracking area, or the like, and the NEF element may map the network location information to geographical location information that is recognizable by the AF element, such as longitude and latitude or an administrative area. For another example, the response message may include network internal identification information, such as SUPI as the identification information of UE2, and the NEF element may map the network internal identification information to a network external identification recognizable by the AF element, such as GPSI or application user ID as the identification information of UE 2.

In this embodiment, the identification information of the UE2, the number of the UEs 2, the information analysis result of the second movement track of the UE2, the activity analysis result of the UE2, the risk analysis result of the UE2, the information analysis result of the third movement track, and the related information of the UEs at other related levels may be fed back to the AF network element or the NF network element as the analysis result along with the response message. In other embodiments, part of the information may be fed back separately. For example, the analysis result fed back by the NWDAF network element may only include the identifier and the number of the UE2, and then the NWDAF network element may feed back one or more information of the information analysis result of the second movement track of the UE2, the activity analysis result of the UE2, the risk analysis result of the UE2, the information analysis result of the third movement track, and the related information of other UEs at relevant levels.

S308: and the AF network element or the NF network element executes corresponding processing operation according to the analysis result in the response message.

After the AF network element or the NF network element analyzes the analysis result from the received response message, a corresponding processing policy may be determined according to the analysis result, so as to execute the processing operation corresponding to the processing policy. For example, in an epidemic situation monitoring scenario, when the analysis result includes the identifier of the UE2 and the activity analysis result of the UE2, if the activity analysis result of the UE2 is at a "high" level, which indicates that the user holding the UE2 is more likely to be infected, the AF network element or the NF network element may send corresponding warning information to the UE2 according to the identifier of the UE2 to inform the user of timely isolation, or determine the user holding the UE2 as a suspected infected person, and inform an operator for epidemic situation prevention and control to take corresponding prevention and control measures such as isolation, disinfection, and the like for the user. For another example, 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 trajectory of the UE2 in the analysis result. For another example, when the analysis result includes an information analysis result of the third movement track, the AF network element or the NF network element may send a prompt to all UEs 2 corresponding to the information of the third movement track, so as to notify the risk level of the third movement track, and the like.

In the foregoing scenario embodiment, the request message sent by the AF network element or the NF network element to the NWDAF network element includes the identification information of the UE1, and in other possible implementations, the AF network element or the NF network element may also be a request message that includes the information of the movement trajectory to the NWDAF network element. Specifically, referring to fig. 4, fig. 4 shows a signaling interaction diagram of another communication method in the embodiment of the present application, where the method specifically may include:

s401: and the AF network element or the NF network element sends a request message to the NWDAF network element, wherein the request message carries information of the first moving track, analysis type identification information, a judgment condition, associated level information, first designated area information and first designated time information.

Different from the embodiment shown in fig. 3, in this embodiment, the request message sent by the AF network element or the NF network element may carry information of the first movement track. In this way, the NWDAF network element does not need to acquire the information of the first movement track through the identity of the UE1, and when the first movement track is specifically the movement track of the UE1, the information of the first movement track may not need to be determined through the identity of the UE1, so that the privacy of the user may be protected. The information of the first movement path in this embodiment is not limited to the information of the movement path of a certain UE or some UEs, and may be information of an arbitrarily specified movement path.

The analysis type identifier 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 manner of step S301 in the foregoing method embodiment, and reference may be made to the foregoing description for related parts, which is not repeated herein.

S402: and the NWDAF network element acquires the position related information of the plurality of UEs from the AF network element and/or the NF network element.

In this embodiment, the NWDAF network element may send a request for obtaining the location related information of the multiple UEs to network elements such as an AF network element, an AMF network element, a RAN network element, an OAM network element, a GMLC network element, and an LMF network element, so as to request the network elements to feed back the location related information of the multiple UEs to the NWDAF network element. The obtained location-related information of the UEs may include information of locations where the UEs are located, time when the UEs enter the locations, time when the UEs leave the locations, and time length when the UEs are located in the locations. In this embodiment, the location related information of each UE is similar to the location related information of the UE1 obtained in the foregoing method embodiment, and is not described herein again.

Further, when the request message received by the NWDAF network element includes the first specified area information and/or the first specified time information, the NWDAF network element acquires the location related information of each UE, which may specifically be the location related information of the UE1 located in the first specified area, and/or the location related information of the UE accessing the network within the first specified time.

S403: and the NWDAF network element determines the information of the moving track of each UE according to the position related information of each UE, wherein the information of the moving track of each UE comprises the information of the corresponding position and the information of the time corresponding to the position.

S404: and the NWDAF network element determines the UE corresponding to each movement track with intersection with the first movement track according to the judgment condition in the request message.

In this embodiment, the UE corresponding to the movement track having the intersection with the first movement track may be determined. The specific implementation manner of the UE corresponding to the movement track determined to have the intersection with the first movement track is similar to the specific implementation manner of the UE2 corresponding to the second movement track determined to have the intersection with the first movement track in the embodiment of the method shown in fig. 3, and reference may be made to the foregoing description, which is not repeated herein.

S405: and when the determined level represented by the UE is inconsistent with the target level represented by the association level information in the request message, the NWDAF network element determines the UE of each rest association level.

S406: the NWDAF network element determines an analysis result, where the analysis result at least includes the determined identification information of the UE, the number of the UEs, an information analysis result of a movement track of the UE, an activity analysis result of the UE, a risk analysis result of the UE, and an information analysis result of a third movement track, where the third movement track includes at least a part of an overlapping track between the first movement track and the determined movement track of the UE.

S407: and the NWDAF network element sends a response message to the AF network element or the NF network element, wherein the response message at least comprises the analysis result.

S408: the AF network element or NF network element executes corresponding processing operation according to the analysis result in the response message

In this embodiment, the specific implementation manner of step S402 to step S408 is similar to the specific implementation manner of step S302 to step S308 in the foregoing method embodiment, and details thereof are not repeated in this embodiment, and reference may be made to the description of the foregoing related points.

In addition, in the embodiment shown in fig. 4, the information of the first movement track includes information of a time corresponding to the first position of the information of the first position, and in other possible implementations, the information of the first movement track sent by the AF network element or the NF network element to the NWDAF network element may also include only the information of the first position. At this time, a specific implementation process of the AF network element or the NF network element obtaining the analysis result is similar to a specific implementation process of the AF network element or the NF network element (i.e., the first network element) obtaining the analysis result in the foregoing embodiments, and the difference is that, when determining whether there is an intersection between the first movement track and the second movement track, the NWDAF network element may specifically determine whether there is an identical position between the first movement track and the second movement track, if so, it is determined that there is an intersection between the first movement track and the second movement track, and if not, it is determined that there is no intersection between the first movement track and the second movement track. Or, on the basis that the NWDAF network element determines that the same positions exist, it may further determine whether the number of the same positions is greater than a preset number, if so, determine that an intersection exists between the first movement trajectory and the second movement trajectory, and if not, determine that the intersection does not exist between the first movement trajectory and the second movement trajectory. Or, on the basis that the NWDAF network element determines that the first movement track and the second movement track have the same position, further determining whether the same position is continuous in the first movement track and/or the second movement track, if so, determining that the first movement track and the second movement track have an intersection, and if not, determining that the first movement track and/or the second movement track do not have an intersection.

In addition, based on the above scenario embodiments, in other possible scenario embodiments, the NWDAF network element may also analyze two specific UEs (i.e., UE1 and UE2) or two specific movement traces, determine whether there is contact between the two UEs or the two movement traces, the specific embodiment of determining whether two UEs are in contact is similar to the above-described specific embodiment of determining whether UE1 is in contact with UE2, except that in the request message received by the NWDAF network element, the identification information of UE1 and the identification information of UE2 may be included, when the first movement track of the UE1 and the second movement track of the UE2 are obtained, the NWDAF network element may determine information of the first movement track according to the identification information of the UE1 in the request message, and determine information of the second movement track according to the identification information of the UE2 in the request message; or, the request message may include information of the first movement trajectory or information of the second movement trajectory; still alternatively, the request message may include identification information of one of the UEs (e.g., UE1) and information of one of the movement tracks (e.g., information of the movement track of UE2), so that the NWDAF network element may parse the information of one of the movement tracks from the request message, and determine information of the corresponding movement track (e.g., information of the movement track of UE1) according to the identification information of the UE in the request message, thereby obtaining information of two movement tracks. Of course, for each movement track, the information of the movement track may also be limited by using the specified time information and/or the specified area information, and the like, and specifically, the related description of the information of the movement track defined by using the first (or second) specified area information and/or the first (or second) specified time information may be referred to in the foregoing.

Accordingly, the analysis result fed back by the NWDAF network element may include an information analysis result of the indication information and/or the movement track of one of the UEs, such as an information analysis result of the second movement track corresponding to the UE 2. The indication information can be used for indicating that the two movement tracks have an intersection; the information analysis result of the movement track of one UE may include any one or more of the following information: the UE movement track information includes information of a position, information of time corresponding to the position, information of the same position in the two movement tracks, and information of overlap time corresponding to the same position in the two movement tracks.

In addition, the embodiment of the application also provides a communication device. Referring to fig. 5, fig. 5 shows a schematic structural diagram of a communication apparatus in an embodiment of the present application, where the apparatus 500 may be applied to a data analysis network element, and may perform the method steps performed by the data analysis network element in the foregoing method embodiment. Specifically, the apparatus 500 may include: receiving section 501, processing section 502, and transmitting section 503. The apparatus 500 may also include a storage unit 504.

A receiving unit 501, configured to receive information of a first movement track, where the information of the first movement track includes information of a first position and information of time corresponding to the first position;

A processing unit 502, configured to determine that an intersection exists between a second movement trajectory of a second terminal and the first movement trajectory;

a sending unit 503, 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 terminals, 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 a third movement track, where the third movement track includes at least a part of an overlapping track between the first movement track and the second movement track.

The storage unit 504 in the apparatus 500 may be configured to store corresponding data, such as information of the first movement track, a second movement track of the second terminal, and an analysis result. Optionally, the storage unit 504 may further store data received by the receiving unit 501 and data processed by the processing unit 502 in the following possible embodiments, and the sending unit 503 may send part or all of the data in the storage unit 504.

In a possible implementation manner, the receiving unit 501 is further configured to receive a request message from the first network element, where the request message is used to request the data analysis network element for the analysis result, and the request message includes information of the first movement trajectory and/or identification information of the first terminal corresponding to the information of the first movement trajectory.

In a possible implementation manner, the request message further includes first designated area information and/or first designated time information;

the sending unit 503 is specifically configured to send, to the first network element, an analysis result corresponding to the first specified area information and/or the first specified time information.

In a possible implementation manner, the request message further includes second specified area information and/or second specified time information;

the receiving unit 501 is specifically configured to obtain information of the first moving trajectory according to the identification information of the first terminal and the second specified area information and/or the second specified time information.

In a possible implementation manner, the information of the second movement track includes information of a second position and information of a 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;

or determining that 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 processing unit 502 is specifically configured to determine that at least one identical position exists in the second movement trajectory and the first movement trajectory, and a time interval of the identical position in a corresponding start time of the second movement trajectory and the first movement trajectory is less than a preset time interval.

In a possible implementation manner, the overlapping duration of the same position in the second movement trajectory and the first movement trajectory is greater than a preset duration, including:

the overlapping duration corresponding to at least one position in the same position is longer than the preset duration;

or, the same positions comprise continuous same positions, and the overlap duration corresponding to at least one position in the continuous same positions is longer than the preset duration;

Or, the same position comprises a plurality of positions, and the sum of the overlapping durations corresponding to the positions is greater than the preset duration;

or, the same positions comprise continuous same positions, and the sum of the overlapping durations corresponding to the continuous same positions is greater than the preset duration.

In a possible implementation manner, the receiving unit 501 is further configured to obtain a decision condition from the first network element;

the processing unit 502 is specifically configured to determine that an intersection exists between the second movement trajectory and the first movement trajectory according to the determination condition.

In a possible implementation manner, the information analysis result of the third movement track includes any one or more of the following information:

the identification information of the second terminal corresponding to the information of the third movement track, the number of the second terminals 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 analysis result of the activity of the second terminal corresponding to the information of the third movement track, and the analysis result of the risk of the second terminal corresponding to the information of the third movement track.

In one possible embodiment, the second terminal comprises a plurality of terminals; the information analysis result of the second movement track comprises an information analysis result of the aggregation movement tracks of the plurality of terminals, and/or an information analysis result of the movement track of each terminal in the plurality of terminals;

the activity analysis result of the second terminal comprises an aggregation activity analysis result of the plurality of terminals and/or an activity analysis result of each terminal in the plurality of terminals;

the risk analysis result of the second terminal includes an aggregated risk analysis result of the plurality of terminals, and/or a risk analysis result of each of the plurality of terminals.

In a possible implementation manner, the receiving unit is specifically configured to obtain information of the first movement trajectory according to the identification information of the first terminal.

In a possible embodiment, the number of identical positions is greater than a preset number.

In a possible implementation, the activity analysis result of the second terminal includes any one or more of the following information:

the value is used for indicating the activity level of the second terminal, the level is used for indicating the activity level of the second terminal, the number of times of re-registration of the second terminal in a network, the number of times of position change of the second terminal in the network, the number of times of the second terminal entering a preset position, the number of services initiated when the second terminal is at the preset position, and the number of times of services initiated when the second terminal is at the preset position.

In a possible implementation, 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 risk release time of the second terminal.

Alternatively, in other possible embodiments, the receiving unit 501, the processing unit 502, the sending unit 503 and the storing unit 504 in the apparatus shown in fig. 5 may also have the following functions:

A receiving unit 501, configured to receive information of a first movement trajectory, where the information of the first movement trajectory includes information of a location;

a sending unit 503, 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 terminals, 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 a third movement track, where the third movement track includes at least a part of an overlapping track between the first movement track and the second movement track.

The storage unit 504 in the apparatus 500 may be configured to store corresponding data, such as information of the first movement track, a second movement track of the second terminal, and the analysis result. Optionally, the storage unit 504 may further store data received by the receiving unit 501 and data processed by the processing unit 502 in the following possible embodiments, and the sending unit 503 may send part or all of the data in the storage unit 504.

In a possible implementation manner, the processing unit 502 is specifically configured to determine that the second movement trajectory and the first movement trajectory exist at the same position.

In a possible implementation manner, the receiving unit 501 is further configured to receive a request message from the first network element, where the request message is used to request the data analysis network element for the analysis result, and the request message includes specific time information;

the processing unit 502 is specifically configured to determine that an intersection exists between the second movement trajectory and the first movement trajectory according to the specified time information.

In a possible implementation manner, the processing unit is specifically configured to determine that a second movement trajectory in the time corresponding to the specified time information exists at the same position as the first movement trajectory.

Because the contents of information interaction, execution process, and the like between the modules of the above-mentioned apparatus are based on the same concept as that of the method embodiment in the embodiment of the present application, the technical effects brought by the method embodiment are the same as those of the method embodiment in the embodiment of the present application, and for convenience and conciseness of description, the specific working processes of the above-mentioned apparatus and modules may refer to the corresponding processes in the foregoing method embodiment, and are not described herein again.

In addition, the embodiment of the application also provides a communication device. Referring to fig. 6, fig. 6 shows a schematic structural diagram of a communication apparatus in an embodiment of the present application, where the apparatus 600 may be applied to a first network element, and may perform the method steps performed by the first network element in the foregoing method embodiment. Specifically, the apparatus 600 may include: transmission section 601, reception section 602, and storage section 603. The apparatus 600 may also include a processing unit 604.

A sending unit 601, configured to send a request message to a data analysis network element, where the request message includes information of a first movement trajectory and/or identification information of a first terminal corresponding to the information of the first movement trajectory, and the request message is used to request, to the data analysis network element, an analysis result corresponding to a second terminal, where a second movement trajectory of the second terminal and the first movement trajectory have an intersection;

A receiving unit 602, 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 storage unit 603 in the apparatus 600 may be configured to store corresponding data, such as the request message and the analysis result. Optionally, the storage unit 603 may further store data received by the receiving unit 601 in various possible embodiments described below, and the apparatus 600 may further include a processing unit that obtains data when performing corresponding processing, and the transmitting unit 601 may transmit part or all of the data in the storage unit 603.

In a possible implementation manner, the analysis result includes identification information of the second terminal, and the sending unit 601 is further configured to send, to the second terminal, indication information according to the identification information of the second terminal, where the indication information is used to indicate that an intersection exists between the second movement trajectory and the first movement trajectory.

In a possible implementation, the analysis result includes an information analysis result of the third movement trajectory;

the processing unit 604 is configured to determine a processing policy corresponding to the information of the third moving trajectory according to the information analysis result of the third moving trajectory.

In one possible embodiment, the determination condition includes:

the second movement track and the first movement track have the same position;

or, 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.

In one possible embodiment, the determination condition includes:

at least one same position exists in the second moving track and the first moving track, and the time interval of the same position in the corresponding starting time of the second moving track and the first moving track is smaller than a preset time interval.

In a possible implementation manner, the request message includes the association level information, where the association level information is used to indicate a target level of a terminal associated with the first movement trajectory, where there is an intersection between movement trajectories of terminals in adjacent levels, and the level of the first terminal is an initial level; the analysis results further include any one or more of the following information:

The identification information of the target level terminals, the number of the target level terminals, the information analysis result of the movement track of the target level terminals, the activity analysis result of the target level terminals and the risk analysis result of the target level terminals; and the moving track of the target level terminal and the moving track of the terminal of the previous level of the target level have intersection.

In a possible implementation manner, the requesting message includes first specified area information and/or first specified time information, and the first network element receives an 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.

In a possible implementation manner, the processing unit 604 is further configured to determine a processing policy corresponding to the first specified area information and/or the first specified time information.

information of a second position, information of time corresponding to the second position, information of a same position in the first movement trajectory and the second movement trajectory, and information of overlap time corresponding to a same position in the first movement trajectory and the second movement trajectory.

In one possible embodiment, the second terminal comprises a plurality of terminals;

the information analysis result of the second movement track comprises an information analysis result of the aggregated movement track of the plurality of terminals, and/or an information analysis result of the movement track of each terminal in the plurality of terminals;

In the apparatuses shown in fig. 5 and 6, the processing unit, the receiving unit, the sending unit, and the storage unit may be physically separated units, or may be integrated into one or more physical units, which is not limited herein.

The receiving unit and the sending unit are used for realizing the content interaction of the device and other units or network elements. The transmitting unit may be a transmitting circuit or a transmitter. The receiving unit may be a receiving circuit or a receiver. The transmitting unit and the receiving unit may also be communication units of the communication device. The transmitting unit and the receiving unit may also be communication interfaces or transceiving circuits of the processing unit. Optionally, the transmitting unit and the receiving unit may be a transceiver chip. The communication device may also include a plurality of transmitting units and a plurality of receiving units. The transmitting unit and the receiving unit may also be subunits of one or more transceiving units.

The processing unit is used for realizing the processing of the data by the communication device. The processing unit may be a processing circuit or a processor. The communication device may also comprise a plurality of processing units or the processing unit may comprise a plurality of sub-data processing units. Specifically, the processor may be a single-core (single-CPU) processor or a multi-core (multi-CPU) processor.

The storage unit may be a unit independent from the processing unit, or may be a storage unit in the processing unit, and is not limited herein. The communication device may also include a plurality of memory cells or the memory cell may include a plurality of sub-memory cells.

In addition, the embodiment of the application also provides a communication device. The communication switching apparatus may be applied to the first network element or the data analysis network element mentioned in the above method embodiment. The communication device may include a processor and a memory, the processor coupled with the memory;

the memory is for storing a computer program or instructions;

the processor is configured to execute the computer program or the instructions, so as to cause the communication method performed by the first network element in the above method embodiment to be performed, or cause the communication method performed by the data analysis network element in the above method embodiment to be performed.

In some possible implementations, the processor executes the computer program or the instructions to also enable the communication method performed by the core network element in the above method embodiment to be performed.

Fig. 7 is a schematic hardware structure diagram of a communication device, which may be a first network element or a data analysis network element in this embodiment of the present application. The communication device includes at least one processor 71 (such as processor 75 may also be included in fig. 7), 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, by a communication line 74, in this embodiment, the processor 71 may include one CPU, for example, the processor 71 in fig. 7 may include only the CPU0, or the processor 71 may include a plurality of CPUs, for example, the processor 71 in fig. 7 may include the CPU0 and the CPU1, and the like, and of course, the processor 71 may include more than three (including three) CPUs. Optionally, the communication device further includes other processors, such as the processor 75 shown in fig. 7, and one or more CPUs may be included in the other processors. The connection may include various interfaces, transmission lines, buses, and the like, which is not limited in this embodiment. The communication interface 73 is used for connecting the communication apparatus with other communication devices through communication links, for example, the communication interface 73 may be an S1 interface, or an X2, Xn interface, etc.

The processor 71 shown in fig. 7 may specifically complete the actions of processing the data analysis network element or the first network element in the method, the memory 72 may complete the actions stored in the method, and the communication interface 73 may complete the actions of interacting between the communication device and other network elements in the method, which is described below by taking the example that the communication device shown in fig. 7 is applied to a data analysis network element as an example:

the processor 71 may determine that there is an intersection of the second movement trajectory of the second terminal with the first movement trajectory. The communication means may receive the information of the first movement trajectory using the communication interface 73 and send the analysis result to the first network element. The memory 72 may store information of the first movement trajectory, an analysis result, and the like. The information of the first movement track and the specific content in the analysis result may specifically refer to the descriptions related to other embodiments.

The processor in the embodiment of the present application, for example, the processor 71, may include, but is not limited to, at least one of the following: various computing devices that run software, such as a Central Processing Unit (CPU), a microprocessor, a Digital Signal Processor (DSP), a Microcontroller (MCU), or an artificial intelligence processor, may each include one or more cores for executing software instructions to perform operations or processing. The processor may be a single semiconductor chip or integrated with other circuits to form a semiconductor chip, for example, an SoC (system on chip) with other circuits (such as a codec circuit, a hardware acceleration circuit, or various buses and interface circuits), or may be integrated as a built-in processor of an ASIC, which may be packaged separately or together with other circuits. The processor may further include necessary hardware accelerators such as Field Programmable Gate Arrays (FPGAs), PLDs (programmable logic devices), or logic circuits implementing dedicated logic operations, in addition to cores for executing software instructions to perform operations or processes.

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 memory devices that may store static information and instructions, Random Access Memory (RAM) or other types of dynamic memory devices that may store information and instructions, and Electrically erasable programmable read-only memory (EEPROM). In some scenarios, the memory may also be, but is not limited to, a compact disk-read-only memory (CD-ROM) or other optical disk storage, optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.

The memory 72 may be separate and coupled to the processor 71 (and the processor 75). Alternatively, the memory 72 may be integrated with the processor 71 (and the processor 75), for example within 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 executed computer program codes can also be regarded as drivers of the processor 71. For example, the processor 71 is configured to execute the computer program code stored in the memory 72, so as to implement the technical solution in the embodiment of the present application.

In the above embodiments, the instructions stored by 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 may be downloaded in the form of software and installed in the memory.

The computer program product includes one or more computer instructions. The procedures or functions according to the embodiments of the present application are all or partially generated when the computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, e.g., the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. A computer-readable storage medium may be any available medium that a computer can store or a data storage device including one or more available media integrated servers, data centers, and the like. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.

Fig. 8 is a schematic diagram of a hardware structure of a chip 80 according to an embodiment of the present disclosure. 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, and in this embodiment, the connection may include various interfaces, transmission lines, or buses, which is not limited in this embodiment. Communication interface 830 is used to enable chip 80 to connect to other communication devices via a communication link.

Optionally, the chip 80 further comprises a memory 840, and the memory 840 may be connected to the processor 810 and the communication interface 830, for example, via a communication line 820. Memory 840 may include both read-only memory and random-access memory, and provides operating instructions and data to processor 810. A portion of the memory 840 may also include non-volatile random access memory (NVRAM).

In some embodiments, memory 840 stores elements, execution modules or data structures, or subsets thereof, or expanded sets thereof.

In the embodiment of the present application, the corresponding operation is performed by calling an operation instruction stored in the memory 840 (the operation instruction may be stored in an operating system).

The processor 810 shown in fig. 8 may specifically complete the actions of processing the data analysis network element or the first network element in the method, the memory 840 may complete the actions stored in the method, and the communication interface 830 may complete the actions of interacting with other network elements (or modules in other network elements) in the method, which is described below by taking the chip shown in fig. 8 as an example for applying to a data analysis network element:

the processor 810 may determine that a second movement trace of the second terminal intersects the first movement trace. The communication device may receive the information of the first movement trajectory using the communication interface 830 and send the analysis result to the first network element. The memory 820 may store information of the first movement trace, an analysis result, and the like. The information of the first movement track and the specific content in the analysis result may specifically refer to the descriptions related to other embodiments.

The embodiment of the application also provides a computer readable storage medium. The methods described in the above embodiments may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. If implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media may include computer storage media and communication media, and may include any medium that can communicate a computer program from one place to another. A storage medium may be any target medium that can be accessed by a computer.

As an alternative design, a 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 for carriage or that stores desired program code in the form of instructions or data structures and that is accessible by a computer. Also, any connection is properly termed a computer-readable medium. For example, if the software is transmitted from a website, server, or other remote source using a coaxial cable, fiber optic cable, twisted pair, Digital Subscriber Line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included in the definition of medium. Disk and disc, as used herein, includes Compact Disc (CD), laser disc, optical disc, Digital Versatile Disc (DVD), floppy disk and blu-ray disc where disks usually reproduce data magnetically, while discs reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media.

The embodiment of the application also provides a computer program product. The methods described in the above embodiments may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. If implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. The procedures or functions described in the above method embodiments are generated in whole or in part when the above computer program instructions are loaded and executed on a computer. The computer may be a general purpose computer, a special purpose computer, a computer network, a base station, a terminal, or other programmable device.

It should be noted that "of, corresponding to" and "corresponding" may be sometimes used in combination in the present application, and it should be noted that the intended meaning is consistent when the difference is not emphasized.

It should be noted that in the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.

In the present application, "at least one" means one or more. "plurality" means two or more. "and/or" describes the association relationship of the associated objects, indicating that there may be three relationships, e.g., a and/or B, which may indicate: a exists alone, A and B exist simultaneously, and B exists alone, wherein A and B can be singular or plural. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one of the following" or similar expressions refer to any combination of these items, including any combination of the singular or plural items. For example, at least one (one) of a, b, or c, may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or multiple. In addition, in order to facilitate clear description of technical solutions of the embodiments of the present application, in the embodiments of the present application, terms such as "first" and "second" are used to distinguish the same items or similar items having substantially the same functions and actions. Those skilled in the art will appreciate that the terms "first," "second," etc. do not denote any order or quantity, nor do the terms "first," "second," etc. denote any order or importance.

The system architecture and the service scenario described in the embodiment of the present application are for more clearly illustrating the technical solution of the embodiment of the present application, and do not form a limitation on the technical solution provided in the embodiment of the present application, and as a person of ordinary skill in the art knows that along with the evolution of the network architecture and the appearance of a new service scenario, the technical solution provided in the embodiment of the present application is also applicable to similar technical problems.

Claims

1. A method of communication, the method comprising:

a data analysis network element acquires information of a first movement track, wherein the information of the first movement track comprises information of a first position and information of time corresponding to the first position;

the data analysis network element determines that an intersection exists between a second movement track of a second terminal and the first movement track;

the data analysis network element sends an analysis result to the first network element, wherein the analysis result comprises any one or more of the following information: the identification information of the second terminal, the number of the second terminals, 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 a third movement track, where the third movement track includes at least a part of an overlapping track between the first movement track and the second movement track.

2. The method of claim 1, further comprising:

the data analysis network element receives a request message from the first network element, where the request message is used to request the data analysis network element for the analysis result, and the request message includes information of the first movement track and/or identification information of the first terminal corresponding to the information of the first movement track.

3. The method of claim 2, wherein the request message further includes first specific area information and/or first specific time information, and the sending, by the data analysis network element, the analysis result to the first network element includes:

and 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.

4. The method according to claim 2 or 3, characterized in that the request message further comprises second designated area information and/or second designated time information;

and the data analysis network element acquires the information of the first moving track according to the identification information of the first terminal and the second designated area information and/or the second designated time information.

5. The method according to any one of claims 1 to 4, wherein the information of the second movement trajectory includes information of a second location and information of a time corresponding to the second location, and the determining, by the data analysis network element, that there is an intersection between the second movement trajectory of the second terminal and the first movement trajectory includes:

the data analysis network element determines that the second movement track and the first movement track have the same position;

or the like, or, alternatively,

and the data analysis network element determines that 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.

6. The method according to any one of claims 1 to 4, wherein the information of the second movement trajectory includes information of a second location and information of a time corresponding to the second location, and the determining, by the data analysis network element, that there is an intersection between the second movement trajectory of the second terminal and the first movement trajectory includes:

and the data analysis network element determines that at least one identical position exists in the second movement track and the first movement track, and the time interval of the identical position in the corresponding starting time in the second movement track and the first movement track is less than a preset time interval.

7. The method according to claim 5 or 6, characterized in that the same location comprises a plurality of locations, which are consecutive in the first movement trajectory and/or the second movement trajectory.

8. The method according to any one of claims 5 to 7, wherein the corresponding overlap duration of the same position in the second movement trajectory and the first movement trajectory is greater than a preset duration.

9. The method of claim 8, wherein the corresponding overlap duration of the same position in the second movement trajectory and the first movement trajectory is greater than a preset duration, comprising:

10. The method according to any one of claims 1 to 9, further comprising:

the data analysis network element obtains a judgment condition from the first network element;

the determining, by the data analysis network element, that an intersection exists between a second movement trajectory of the second terminal and the first movement trajectory includes:

and the data analysis network element determines that the second movement track and the first movement track have intersection according to the judgment condition.

11. The method according to any one of claims 1 to 10, wherein the information analysis result of the third movement track comprises any one or more of the following information:

12. The method according to any one of claims 1 to 11, wherein the information analysis result of the second movement track comprises any one or more of the following information:

13. The method according to any of claims 1 to 12, wherein the second terminal comprises a plurality of terminals;

the information analysis result of the second movement track comprises an information analysis result of an aggregated movement track of the plurality of terminals, and/or an information analysis result of a movement track of each terminal in the plurality of terminals;

14. A communications apparatus, comprising:

the mobile terminal comprises a receiving unit, a processing unit and a processing unit, wherein the receiving unit is used for receiving information of a first moving track, and the information of the first moving track comprises information of a first position and information of time corresponding to the first position;

The processing unit is used for determining that an intersection exists between a second movement track of the second terminal and the first movement track;

a sending unit, 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 terminals, 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 a third movement track, where the third movement track includes at least a part of an overlapping track between the first movement track and the second movement track.

15. The apparatus of claim 14, wherein the receiving unit is further configured to receive a request message from the first network element, where the request message is used to request the data analysis network element for the analysis result, and the request message includes information of the first movement trajectory and/or identification information of the first terminal corresponding to the information of the first movement trajectory.

16. The apparatus according to claim 15, wherein the request message further comprises first specific area information and/or first specific time information;

The sending unit is specifically configured to send, to the first network element, an analysis result corresponding to the first specified area information and/or the first specified time information.

17. The apparatus according to claim 15 or 16, wherein the request message further comprises second designated area information and/or second designated time information;

the receiving unit is specifically configured to acquire information of the first moving trajectory according to the identification information of the first terminal and the second specified area information and/or the second specified time information.

18. The apparatus according to any one of claims 14 to 17, wherein the information of the second movement track comprises information of a second position and information of a time corresponding to the second position;

the processing unit is specifically configured to determine that the second movement trajectory and the first movement trajectory have the same position;

19. The apparatus according to any one of claims 14 to 17, wherein the information of the second movement track comprises information of a second position and information of a time corresponding to the second position;

The processing unit is specifically configured to determine that at least one identical position exists in the second movement trajectory and the first movement trajectory, and a time interval of the identical position in a corresponding start time of the second movement trajectory and the first movement trajectory is smaller than a preset time interval.

20. The apparatus according to claim 18 or 19, wherein the same location comprises a plurality of locations, the plurality of locations being consecutive in the first movement trajectory and/or the second movement trajectory.

21. The apparatus according to any one of claims 18 to 20, wherein the corresponding overlap duration of the same position in the second movement trajectory and the first movement trajectory is greater than a preset duration.

22. The apparatus of claim 21, wherein the corresponding overlap duration of the same position in the second movement trajectory and the first movement trajectory is greater than a preset duration, comprising:

23. The apparatus according to any one of claims 14 to 22, wherein the receiving unit is further configured to obtain a decision condition from the first network element;

the processing unit is specifically configured to determine that an intersection exists between the second movement trajectory and the first movement trajectory according to the determination condition.

24. The apparatus according to any one of claims 14 to 23, wherein the information analysis result of the third movement track comprises any one or more of the following information:

25. The apparatus according to any one of claims 14 to 24, wherein the information analysis result of the second movement track comprises any one or more of the following information:

26. The apparatus according to any of claims 14 to 25, wherein the second terminal comprises a plurality of terminals;

27. A communications apparatus comprising a processor and a memory, the memory being adapted to store a computer program or instructions, the processor being adapted to execute the computer program or instructions such that the method of any of claims 1 to 13 is performed.

28. A computer-readable storage medium comprising instructions or a computer program which, when run on a computer, cause the computer to perform the method of any of claims 1 to 13 above.

29. A communication system, characterized in that the system comprises a first network element for performing the data analysis network element according to any one of claims 1 to 13 and for communicating with the data analysis network element.