CN110557722B - Target group partner identification method and related device - Google Patents
Target group partner identification method and related device Download PDFInfo
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- CN110557722B CN110557722B CN201910696504.4A CN201910696504A CN110557722B CN 110557722 B CN110557722 B CN 110557722B CN 201910696504 A CN201910696504 A CN 201910696504A CN 110557722 B CN110557722 B CN 110557722B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/021—Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/023—Services making use of location information using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/029—Location-based management or tracking services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
- H04W64/006—Locating users or terminals or network equipment for network management purposes, e.g. mobility management with additional information processing, e.g. for direction or speed determination
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Abstract
The embodiment of the application discloses a target group identification method and a related device, wherein the method comprises the following steps: acquiring equipment information of a first mobile terminal of a target person through at least one sensing equipment; determining target position information of the first mobile terminal in a preset time period according to the equipment information and a preset positioning strategy; acquiring device information of a first number of mobile terminals in a preset range by taking target position information as a center through at least one sensing device; acquiring a first moving track of a first mobile terminal and a first number of moving tracks of a first number of mobile terminals in a preset time length; and determining a second number of mobile terminals in the first number of mobile terminals according to the first movement track and the first number of movement tracks, and determining that the holders of the second number of mobile terminals are target group partners. The embodiment of the application is beneficial to determining the partnerships of the target person.
Description
Technical Field
The present application relates to the field of electronic technologies, and in particular, to a method and a related apparatus for identifying a target group.
Background
At present, illegal persons often carry out case making in groups, and a public security organization can only determine one or a few criminal suspects through some clues in the detection process; how to capture and report criminal suspects at one time is an important link for improving capture efficiency and improving security guarantee; therefore, how to successfully determine the partnerships of the target people is one of the biggest obstacles for improving security.
Disclosure of Invention
The embodiment of the application provides a target group partner identification method and a related device, and the application is favorable for determining the partner of the target person.
In a first aspect, an embodiment of the present application provides a target group identification method, which is applied to a cloud server, where the cloud server is in communication connection with at least one sensing device, and the method includes:
acquiring equipment information of a first mobile terminal of a target person through the at least one sensing equipment;
determining target position information of the first mobile terminal in a preset time period according to the equipment information and a preset positioning strategy;
acquiring device information of a first number of mobile terminals in a preset range by taking the target position information as a center through the at least one sensing device;
acquiring a first moving track of the first mobile terminal and a first number of moving tracks of the first number of mobile terminals in a preset time length;
and determining a second number of mobile terminals in the first number of mobile terminals according to the first movement track and the first number of movement tracks, and determining that the holders of the second number of mobile terminals are the target group.
In a second aspect, the embodiment of the application provides a target group identification device, which is applied to a cloud server, wherein the cloud server is in communication connection with at least one sensing device, and the target group identification device includes a processing unit and a communication unit, wherein the processing unit is configured to obtain device information of a first mobile terminal of a target person through the communication unit; the target position information of the first mobile terminal in a preset time period is determined according to the equipment information and a preset positioning strategy; acquiring equipment information of a first number of mobile terminals in a preset range by taking the target position information as a center through the communication unit; the communication unit is used for acquiring a first moving track of the first mobile terminal and a first number of moving tracks of the first number of mobile terminals in a preset time length; and the mobile terminal processing unit is used for determining a second number of mobile terminals in the first number of mobile terminals according to the first movement track and the first number of movement tracks and determining that holders of the second number of mobile terminals are the target group. In a third aspect, an embodiment of the present application provides a cloud server, including a processor, a memory, a communication interface, and one or more programs, where the one or more programs are stored in the memory and configured to be executed by the processor, and the program includes instructions for executing steps in any method of the first aspect of the embodiment of the present application.
In a fourth aspect, the present application provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program for electronic data exchange, where the computer program makes a computer perform part or all of the steps described in any one of the methods of the first aspect of the present application.
In a fifth aspect, the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to perform some or all of the steps as described in any one of the methods of the first aspect of the embodiments of the present application. The computer program product may be a software installation package.
In the embodiment of the application, the cloud server first obtains the device information of a first number of mobile terminals near the first mobile terminal in a preset time period through at least one sensing device to determine the first number of mobile terminals possibly related to the target person; tracking the moving tracks of the first mobile terminal and the first number of mobile terminals, screening the moving tracks of the first number of mobile terminals according to the moving track of the first mobile terminal to determine a second number of mobile terminals, and determining that holders of the second number of mobile terminals are partnerships of target figures; the embodiment of the application is beneficial to determining the target group related to the target person according to the activities of the target person.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of a system architecture constructed by a cloud server and a sensing device according to an embodiment of the present application;
fig. 2 is a schematic flowchart of a target group identification method according to an embodiment of the present application;
fig. 3 is a schematic flow chart of another target group identification method provided in the embodiment of the present application;
fig. 4 is a schematic flow chart of another target group identification method provided in the embodiment of the present application;
fig. 5 is a schematic structural diagram of a cloud server provided in an embodiment of the present application;
fig. 6 is a block diagram illustrating functional units of a target group partner recognition apparatus according to an embodiment of the present disclosure;
Detailed Description
In order to make the technical solutions of the present application better understood, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The terms "first," "second," and the like in the description and claims of the present application and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
The cloud server according to the embodiment of the present application may include various handheld devices, vehicle-mounted devices, wearable devices, computing devices or other processing devices connected to a wireless modem, and various forms of User Equipment (UE), Mobile Stations (MS), electronic devices (terminal services), and the like.
The embodiment of the present application provides a method for identifying a target group, which is described in detail below with reference to the accompanying drawings.
As shown in fig. 1, fig. 1 is a schematic diagram of a system architecture of an early warning system constructed by a cloud server 110 and a sensing device 120 according to an embodiment of the present application, where the system architecture includes the cloud server 110 and at least one sensing device 120, and the cloud server 110 is in communication connection with the at least one sensing device 120. The at least one sensing device can be installed at a fixed position or can be a mobile terminal carried by a user, and the at least one sensing device has the functions of face recognition, photographing, camera shooting, device information acquisition of the mobile terminal, user data acquisition and the like; the device information of the mobile terminal may include at least one of the following: an International Mobile Equipment Identity (IMEI), an International Mobile Subscriber Identity (IMSI), device information of the Mobile terminal, a Media Access Control address (MAC), a QQ Number, a micro signal code, and the like, which are not limited herein. The cloud server 110 may control the at least one perceiving device 120 to perform different operations.
Referring to fig. 2, fig. 2 is a schematic flowchart of a target group identification method provided in an embodiment of the present application, and the target group identification method is applied to a cloud server, where the cloud server is in communication connection with at least one sensing device, and as shown in the drawing, the target group identification method includes:
Wherein the device information includes at least one of: an International Mobile Equipment Identity (IMEI), an International Mobile Subscriber Identity (IMSI), and device information of the Mobile terminal, a Media Access Control address (MAC), a QQ Number, a micro signal code, and the like, which are not limited herein.
The preset time period may be any time period in a natural day.
The preset range can be preset by a user, and comprises the size and the shape of the preset range. For example, the preset range may be a circle having a radius of 300 meters with the position point indicated by the target position information as the center; a square with a side length of 200 m may be used as the center of the position point indicated by the target position information.
The first number of mobile terminals corresponds to the first number of moving tracks one by one, and each mobile terminal in the first number of moving tracks corresponds to one moving track to obtain the first number of moving tracks.
The preset duration may be any duration set by a user.
In the embodiment of the application, the cloud server first obtains the device information of a first number of mobile terminals near the first mobile terminal in a preset time period through at least one sensing device to determine the first number of mobile terminals possibly related to the target person; tracking the moving tracks of the first mobile terminal and the first number of mobile terminals, screening the moving tracks of the first number of mobile terminals according to the moving track of the first mobile terminal to determine a second number of mobile terminals, and determining that holders of the second number of mobile terminals are partnerships of target figures; the embodiment of the application is beneficial to determining the target group related to the target person according to the activities of the target person.
For example, the target person may be a crime suspect whose identity has been determined by a public security organization, and the cloud server controls the sensing device to obtain device information of the first mobile terminal of the target person; the cloud server locks the device information, and determines target position information of the first mobile terminal in a preset time period (for example, 2 to 6 points in the morning, since criminals often move at night, the target personnel has a high probability of being together with the criminal group members) through satellite positioning or through a plurality of sensing devices; acquiring device information of a first number of mobile terminals in a circle with a preset radius as the center and the target position as the center through at least one sensing device; the cloud server acquires the moving tracks of the first mobile terminal and the first number of mobile terminals within a preset time (for example, within two days) according to the device information of the first mobile terminal and the first number of mobile terminals; screening out a second number of mobile terminals according to the similarity degree of the movement track of each device in the first number of mobile terminals and the movement track of the first mobile terminal, and determining that the holders of the second number of mobile terminals are target group partners.
In one possible example, the cloud server is communicatively connected to at least three perception devices; the cloud server determines target position information of the first mobile terminal in a preset time period according to the device information and a preset positioning strategy, and the method comprises the following steps: the cloud server receives the device information of at least one mobile terminal in the local sensing range, which is sent by each sensing device in the at least three sensing devices, in the preset time period; determining the first mobile terminal in the equipment information of the at least one mobile terminal according to the equipment information of the first mobile terminal and the equipment information of the at least one mobile terminal; sending a distance detection instruction to the at least three sensing devices so that each sensing device of the at least three sensing devices detects the distance to the first mobile terminal; receiving the distance between each sensing device and the first mobile terminal, which is sent by each sensing device; acquiring the position information of each sensing device in the at least three sensing devices; and determining the target position information according to the position information of each sensing device in the at least three sensing devices and the distance between each sensing device in the at least three sensing devices and the first mobile terminal.
Wherein the device information includes: an International Mobile Equipment Identity (IMEI), an International Mobile Subscriber Identity (IMSI), device information of the Mobile terminal, a Media Access Control address (MAC), a QQ Number, a micro signal code, and the like, which are not limited herein.
Wherein, the determining the first mobile terminal in the device information of the at least one mobile terminal according to the device information of the first mobile terminal and the device information of the at least one mobile terminal includes: and matching the device information of the first mobile terminal with the obtained device information of the at least one mobile terminal one by one, and determining that the device with the same device information as the device information of the first mobile terminal in the at least one mobile terminal is the first mobile terminal.
The specific step of determining the target location information according to the location information of each of the at least three sensing devices and the distance between each of the at least three sensing devices and the first mobile terminal may include: the cloud server can display the position of each sensing device on a map, and draw a circle by taking the distance detected by each sensing device of the at least three sensing devices as a radius to obtain at least three circles, wherein the common intersection point of the at least three circles is a target position point, and then the position information of the target position point is determined to be the target position information.
Therefore, in this example, the cloud server can determine the first mobile terminal from the detected multiple devices according to the device information of the first mobile terminal, and then determine the target location information according to the location information of the multiple sensing devices and the distance from the first mobile terminal, so that the accuracy of positioning and the efficiency of obtaining the location information of the first mobile terminal are improved.
In one possible example, the cloud server is communicatively coupled to a communication positioning system; the cloud server determines target position information of the first mobile terminal in a preset time period according to the device information and a preset positioning strategy, and the method comprises the following steps: the cloud server sends the equipment information to the communication positioning system; and receiving the target position information of the first mobile terminal, which is sent by the communication positioning system and determined according to the equipment information.
The equipment information can be a mobile phone number; the communication positioning system can be a positioning system special for police personnel, and the system can position the mobile terminal according to the telephone number of the mobile terminal so as to determine the position information of the mobile terminal.
Optionally, the device information may be account information of an application program, where the application program has a right to acquire location information of the mobile terminal; the cloud server determines target position information of the first mobile terminal in a preset time period according to the device information and a preset positioning strategy, and the method comprises the following steps: the cloud server sends a position request instruction to corresponding account information; after receiving the position request instruction, the mobile terminal acquires the current position information of the terminal and sends the position information to the cloud server, and the cloud server receives the position information sent by the mobile terminal to obtain target position information.
Therefore, in the example, the cloud server can be connected with the communication positioning system, so that the first mobile terminal is positioned, and the positioning reliability is ensured.
In one possible example, the determining, by the cloud server, a second number of mobile terminals in the first number of mobile terminals according to the first movement trajectory and the first number of movement trajectories includes: the cloud server displays the first moving track and the first number of moving tracks on a preset map interface; determining a third number of position points in the first moving track according to the generation time of each position point in the first moving track, wherein the generation time of any one position point in the third number of position points is the same as the time interval of the generation time of the adjacent position points; determining a third number of reference areas centered around each of the third number of location points and a proportion of each of the first number of movement trajectories within the reference areas; and determining the second number of mobile terminals according to the proportion of each moving track in the reference area.
For example, the cloud server displays a first movement trajectory and a first number of movement trajectories on a map; setting the preset time interval to be 20 minutes, and starting from the starting point of the first movement track, taking a position point every 20 minutes on the first movement track to obtain a third number of position points; determining a third number of reference areas with preset sizes and preset shapes by taking the third number of position points as centers, calculating the proportion of each moving track in the first number of moving tracks in the reference areas, and screening out a second number of mobile terminals from the first number of mobile terminals according to the proportion.
As can be seen, in this example, the cloud server may select a position point on the first movement trajectory, and determine the reference area with the position point as a center; then determining the proportion of the first number of moving tracks in the reference area; according to the method and the device, the second number of the moving tracks in the first number of the moving tracks are determined according to the proportion, and then the second number of the moving terminals are determined.
In one possible example, the determining, by the cloud server, the second number of mobile terminals according to the proportion of each moving trajectory in the reference area includes: determining a second number of movement trajectories of the first number of movement trajectories, the proportion of which in the reference area is greater than a preset proportion; and determining that the mobile terminals corresponding to the second number of movement tracks are the second number of mobile terminals.
The preset proportion can be adjusted according to actual conditions, such as the length of the first moving track, the number of the third number of position points and the size of the reference area; for example, if the length of the first movement track is longer, the number of the third number of position points is larger, and the reference area is larger, the preset ratio can be properly reduced; conversely, the preset ratio is correspondingly increased.
As can be seen, in this example, the cloud server may screen out a second number of movement tracks of which the ratio in the reference area is higher than the preset ratio, and then determine a second number of mobile terminals corresponding to the second number of movement tracks.
In one possible example, the determining, by the cloud server, a second number of mobile terminals in the first number of mobile terminals according to the first movement trajectory and the first number of movement trajectories includes: determining N reference position points in the first moving track, wherein the accumulated stay time length of the reference position points is longer than a preset time length, and N is a positive integer; determining at least one target position point with the accumulated stay time length being greater than the preset time length in each moving track according to the generation time of each moving track in the first number of moving tracks; determining a repetition rate of the at least one target location point and the N reference location points in each movement trajectory; determining a second number of movement tracks with the repetition rate larger than a preset proportion; and determining that the mobile terminals corresponding to the second number of movement tracks are the second number of mobile terminals.
For example, if N is 5, the preset time is 1 hour, the preset proportion is sixty percent, and in the first movement track, the dwell time of 5 positions, namely the position a, the position B, the position C, the position D, and the position E, is greater than 1 hour, then the 5 positions are determined as reference position points; detecting position points with the dwell time longer than 1 hour in the first number of moving tracks as target position points; for example, if a second movement track in the first number of movement tracks includes four target position points, the dwell time of which is longer than 1 hour, of the position a, the position B, the position C, and the position D, it is determined that the repetition rate is eighty percent and is greater than sixty percent of the preset proportion, and therefore the mobile terminal corresponding to the second movement track is determined to be one mobile terminal in the second number of mobile terminals.
Therefore, in this example, the cloud server can determine the repetition rate of the position points according to the first movement track and the position points of which the stay time is longer than the preset time in the first number of movement tracks, and predict the relevance between the first number of movement tracks and the first movement tracks according to the repetition rate, so that the intelligence of the server is improved.
In one possible example, the cloud server determining that the holder of the second number of mobile terminals is the target group comprises: the cloud server acquires the equipment information of the second number of mobile terminals through the at least one sensing equipment; inquiring a preset database by taking the equipment information as an inquiry identifier to obtain the figure information corresponding to the inquiry identifier, wherein the database comprises a matching relation between the equipment information and the figure information; and determining the target group according to the character information.
Wherein the personal information may include at least one of: name, gender, age, face photos, etc.
Therefore, in the example, the cloud server can determine the corresponding character information according to the device information of the mobile terminal, and the identification efficiency for the target group is improved.
Referring to fig. 3, in accordance with the embodiment shown in fig. 2, fig. 3 is a schematic flowchart of another target group identification method provided in the embodiment of the present application, and is applied to a cloud server, where the cloud server is in communication connection with at least one sensing device, and as shown in the figure, the target group identification method includes:
And 310, displaying the first moving track and the first number of moving tracks on a preset map interface by the cloud server.
And the time interval between the generation time of any one position point in the third number of position points and the generation time of the adjacent position point is the same.
In the embodiment of the application, the cloud server first obtains the device information of a first number of mobile terminals near the first mobile terminal in a preset time period through at least one sensing device to determine the first number of mobile terminals possibly related to the target person; tracking the moving tracks of the first mobile terminal and the first number of mobile terminals, screening the moving tracks of the first number of mobile terminals according to the moving track of the first mobile terminal to determine a second number of mobile terminals, and determining that holders of the second number of mobile terminals are partnerships of target figures; the embodiment of the application is beneficial to determining the target group related to the target person according to the activities of the target person.
In addition, the cloud server can determine the first mobile terminal from the detected multiple devices according to the device information of the first mobile terminal, and then determine the target position information according to the position information of the multiple sensing devices and the distance between the multiple sensing devices and the first mobile terminal, so that the positioning accuracy and the efficiency of obtaining the position information of the first mobile terminal are improved.
In addition, the cloud server can select a position point on the first moving track, and determine a reference area by taking the position point as a center; then determining the proportion of the first number of moving tracks in the reference area; according to the method and the device, the second number of the moving tracks in the first number of the moving tracks are determined according to the proportion, and then the second number of the moving terminals are determined.
Referring to fig. 4, in accordance with the embodiment shown in fig. 2, fig. 4 is a schematic flowchart of another target group identification method provided in the embodiment of the present application, and is applied to a cloud server, where the cloud server is in communication connection with at least one sensing device, and as shown in the figure, the target group identification method includes:
And step 406, the cloud server determines N reference position points in the first moving track, where the accumulated stay time is longer than a preset time, according to the generation time of each position point in the first moving track, where N is a positive integer.
In the embodiment of the application, the cloud server first obtains the device information of a first number of mobile terminals near the first mobile terminal in a preset time period through at least one sensing device to determine the first number of mobile terminals possibly related to the target person; tracking the moving tracks of the first mobile terminal and the first number of mobile terminals, screening the moving tracks of the first number of mobile terminals according to the moving track of the first mobile terminal to determine a second number of mobile terminals, and determining that holders of the second number of mobile terminals are partnerships of target figures; the embodiment of the application is beneficial to determining the target group related to the target person according to the activities of the target person.
In addition, the cloud server can be connected with a communication positioning system, and then positioning is carried out on the first mobile terminal, so that the positioning reliability is guaranteed.
In addition, the cloud server can determine the repetition rate of the position points according to the position points of which the stay time is longer than the preset time in the first moving track and the first number of moving tracks, and predict the relevance between the first number of moving tracks and the first moving track according to the repetition rate, so that the intelligence of the server is improved.
In addition, the cloud server can determine corresponding figure information according to the equipment information of the mobile terminal, and the identification efficiency for the target group is improved
Consistent with the embodiments shown in fig. 2, fig. 3, and fig. 4, please refer to fig. 5, and fig. 5 is a schematic structural diagram of a cloud server 500 provided in an embodiment of the present application, as shown in the figure, the cloud server 500 includes an application processor 510, a memory 520, a communication interface 530, and one or more programs 521, where the one or more programs 521 are stored in the memory 520 and configured to be executed by the application processor 510, and the one or more programs 521 include instructions for performing the following steps;
acquiring equipment information of a first mobile terminal of a target person through the at least one sensing equipment;
determining target position information of the first mobile terminal in a preset time period according to the equipment information and a preset positioning strategy;
acquiring device information of a first number of mobile terminals in a preset range by taking the target position information as a center through the at least one sensing device;
acquiring a first moving track of the first mobile terminal and a first number of moving tracks of the first number of mobile terminals in a preset time length;
and determining a second number of mobile terminals in the first number of mobile terminals according to the first movement track and the first number of movement tracks, and determining that the holders of the second number of mobile terminals are the target group.
In the embodiment of the application, the cloud server acquires the device information of the first mobile terminal of the target person through at least one sensing device; secondly, determining target position information of the first mobile terminal in a preset time period according to the equipment information and a preset positioning strategy; secondly, acquiring device information of a first number of mobile terminals in a preset range by taking the target position information as the center through at least one sensing device; secondly, acquiring a first moving track of a first mobile terminal and a first number of moving tracks of a first number of mobile terminals within a preset time length; and finally, determining a second number of mobile terminals in the first number of mobile terminals according to the first movement track and the first number of movement tracks, and determining that the holders of the second number of mobile terminals are target group partners. As can be seen, in the embodiment of the application, the cloud server first obtains, through at least one sensing device, device information of a first number of mobile terminals near a first mobile terminal in a preset time period, so as to determine the first number of mobile terminals possibly associated with a target person; tracking the moving tracks of the first mobile terminal and the first number of mobile terminals, screening the moving tracks of the first number of mobile terminals according to the moving track of the first mobile terminal to determine a second number of mobile terminals, and determining that holders of the second number of mobile terminals are partnerships of target figures; the embodiment of the application is beneficial to determining the target group related to the target person according to the activities of the target person.
In one possible example, the cloud server is communicatively connected to at least three perception devices; in the aspect that the cloud server determines, according to the device information and a preset positioning policy, target location information of the first mobile terminal in a preset time period, the instructions in the program are specifically configured to perform the following operations: the cloud server receives the device information of at least one mobile terminal in the local sensing range, which is sent by each sensing device in the at least three sensing devices, in the preset time period; determining the first mobile terminal in the equipment information of the at least one mobile terminal according to the equipment information of the first mobile terminal and the equipment information of the at least one mobile terminal; sending a distance detection instruction to the at least three sensing devices so that each sensing device of the at least three sensing devices detects the distance to the first mobile terminal; receiving the distance between each sensing device and the first mobile terminal, which is sent by each sensing device; acquiring the position information of each sensing device in the at least three sensing devices; and determining the target position information according to the position information of each sensing device in the at least three sensing devices and the distance between each sensing device in the at least three sensing devices and the first mobile terminal.
In one possible example, the cloud server is communicatively coupled to a communication positioning system; in the aspect that the cloud server determines, according to the device information and a preset positioning policy, target location information of the first mobile terminal in a preset time period, the instructions in the program are specifically configured to perform the following operations: the cloud server sends the equipment information to the communication positioning system; and receiving the target position information of the first mobile terminal, which is sent by the communication positioning system and determined according to the equipment information.
In a possible example, in the aspect that the cloud server determines, according to the first movement trajectory and the first number of movement trajectories, a second number of mobile terminals in the first number of mobile terminals, the instructions in the program are specifically configured to perform the following operations: the cloud server displays the first moving track and the first number of moving tracks on a preset map interface; determining a third number of position points in the first moving track according to the generation time of each position point in the first moving track, wherein the generation time of any one position point in the third number of position points is the same as the time interval of the generation time of the adjacent position points; determining a third number of reference areas centered around each of the third number of location points and a proportion of each of the first number of movement trajectories within the reference areas; and determining the second number of mobile terminals according to the proportion of each moving track in the reference area.
In one possible example, in the aspect that the cloud server determines the second number of mobile terminals according to a ratio of each movement trajectory in the reference area, the instructions in the program are specifically configured to perform the following operations: determining a second number of movement trajectories of the first number of movement trajectories, the proportion of which in the reference area is greater than a preset proportion; and determining that the mobile terminals corresponding to the second number of movement tracks are the second number of mobile terminals.
In a possible example, in the aspect that the cloud server determines, according to the first movement trajectory and the first number of movement trajectories, a second number of mobile terminals in the first number of mobile terminals, the instructions in the program are specifically configured to perform the following operations: determining N reference position points in the first moving track, wherein the accumulated stay time length of the reference position points is longer than a preset time length, and N is a positive integer; determining at least one target position point with the accumulated stay time length being greater than the preset time length in each moving track according to the generation time of each moving track in the first number of moving tracks; determining a repetition rate of the at least one target location point and the N reference location points in each movement trajectory; determining a second number of movement tracks with the repetition rate larger than a preset proportion; and determining that the mobile terminals corresponding to the second number of movement tracks are the second number of mobile terminals.
In one possible example, in terms of the cloud server determining that the holder of the second number of mobile terminals is the target group, the instructions in the program are specifically for: the cloud server acquires the equipment information of the second number of mobile terminals through the at least one sensing equipment; inquiring a preset database by taking the equipment information as an inquiry identifier to obtain the figure information corresponding to the inquiry identifier, wherein the database comprises a matching relation between the equipment information and the figure information; and determining the target group according to the character information.
It is understood that the electronic device comprises corresponding hardware structures and/or software modules for performing the respective functions in order to realize the above-mentioned functions. Those of skill in the art will readily appreciate that the present application is capable of hardware or a combination of hardware and computer software implementing the various illustrative elements and algorithm steps described in connection with the embodiments provided herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiment of the present application, the electronic device may be divided into the functional units according to the method example, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit. It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
Fig. 6 is a block diagram of functional elements of a target group partner identifying apparatus 600 according to an embodiment of the present application. The control device 600 is applied to an electronic apparatus, and includes a processing unit 601 and a communication unit 602, wherein,
the processing unit 601 is configured to acquire device information of a first mobile terminal of a target person through the communication unit 602; the target position information of the first mobile terminal in a preset time period is determined according to the equipment information and a preset positioning strategy; and acquiring device information of a first number of mobile terminals within a preset range centered on the target location information through the communication unit 602; and is configured to obtain, through the communication unit 602, a first movement trajectory of the first mobile terminal and a first number of movement trajectories of the first number of mobile terminals within a preset time duration; and the mobile terminal processing unit is used for determining a second number of mobile terminals in the first number of mobile terminals according to the first movement track and the first number of movement tracks and determining that holders of the second number of mobile terminals are the target group.
The target group identification apparatus 600 may further comprise a storage unit 603 for storing program codes and data of the electronic device. The processing unit 601 may be a processor, the communication unit 602 may be a touch display screen or a transceiver, and the storage unit 603 may be a memory.
In the embodiment of the application, the cloud server first obtains the device information of a first number of mobile terminals near the first mobile terminal in a preset time period through at least one sensing device to determine the first number of mobile terminals possibly related to the target person; tracking the moving tracks of the first mobile terminal and the first number of mobile terminals, screening the moving tracks of the first number of mobile terminals according to the moving track of the first mobile terminal to determine a second number of mobile terminals, and determining that holders of the second number of mobile terminals are partnerships of target figures; the embodiment of the application is beneficial to determining the target group related to the target person according to the activities of the target person.
In one possible example, the cloud server is communicatively connected to at least three perception devices; in an aspect that the cloud server determines, according to the device information and a preset positioning policy, target location information of the first mobile terminal in a preset time period, the processing unit 601 is specifically configured to: the cloud server receives, through the communication unit 602, the device information of at least one mobile terminal in the home sensing range sent by each of the at least three sensing devices in the preset time period; determining the first mobile terminal in the equipment information of the at least one mobile terminal according to the equipment information of the first mobile terminal and the equipment information of the at least one mobile terminal; sending a distance detection instruction to the at least three sensing devices through the communication unit 602, so that each of the at least three sensing devices detects a distance to the first mobile terminal; receiving, by the communication unit 602, a distance between each sensing device and the first mobile terminal, where the distance is sent by each sensing device; acquiring location information of each of the at least three sensing devices through the communication unit 602; and determining the target position information according to the position information of each sensing device in the at least three sensing devices and the distance between each sensing device in the at least three sensing devices and the first mobile terminal.
In one possible example, the cloud server is communicatively coupled to a communication positioning system; in an aspect that the cloud server determines, according to the device information and a preset positioning policy, target location information of the first mobile terminal in a preset time period, the processing unit 601 is specifically configured to: the cloud server sends the device information to the communication positioning system through the communication unit 602; and receiving the target position information of the first mobile terminal, which is sent by the communication positioning system and determined according to the equipment information.
In a possible example, in terms that the cloud server determines, according to the first movement trajectory and the first number of movement trajectories, a second number of mobile terminals in the first number of mobile terminals, the processing unit 601 is specifically configured to: the cloud server displays the first moving track and the first number of moving tracks on a preset map interface; determining a third number of position points in the first moving track according to the generation time of each position point in the first moving track, wherein the generation time of any one position point in the third number of position points is the same as the time interval of the generation time of the adjacent position points; determining a third number of reference areas centered around each of the third number of location points and a proportion of each of the first number of movement trajectories within the reference areas; and determining the second number of mobile terminals according to the proportion of each moving track in the reference area.
In a possible example, in the aspect that the cloud server determines the second number of mobile terminals according to a ratio of each moving trajectory in the reference area, the processing unit 601 is specifically configured to: determining a second number of movement trajectories of the first number of movement trajectories, the proportion of which in the reference area is greater than a preset proportion; and determining that the mobile terminals corresponding to the second number of movement tracks are the second number of mobile terminals.
In a possible example, in terms that the cloud server determines, according to the first movement trajectory and the first number of movement trajectories, a second number of mobile terminals in the first number of mobile terminals, the processing unit 601 is specifically configured to: determining N reference position points in the first moving track, wherein the accumulated stay time length of the reference position points is longer than a preset time length, and N is a positive integer; determining at least one target position point with the accumulated stay time length being greater than the preset time length in each moving track according to the generation time of each moving track in the first number of moving tracks; determining a repetition rate of the at least one target location point and the N reference location points in each movement trajectory; determining a second number of movement tracks with the repetition rate larger than a preset proportion; and determining that the mobile terminals corresponding to the second number of movement tracks are the second number of mobile terminals.
In a possible example, in terms of the cloud server determining that the holder of the second number of mobile terminals is the target group, the processing unit 601 is specifically configured to: the cloud server acquires the equipment information of the second number of mobile terminals through the at least one sensing equipment; inquiring a preset database by taking the equipment information as an inquiry identifier to obtain the figure information corresponding to the inquiry identifier, wherein the database comprises a matching relation between the equipment information and the figure information; and determining the target group according to the character information.
Embodiments of the present application also provide a computer storage medium, where the computer storage medium stores a computer program for electronic data exchange, the computer program enabling a computer to execute part or all of the steps of any one of the methods described in the above method embodiments, and the computer includes an electronic device.
Embodiments of the present application also provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform some or all of the steps of any of the methods as described in the above method embodiments. The computer program product may be a software installation package, the computer comprising an electronic device.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required in this application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the above-described division of the units is only one type of division of logical functions, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit may be stored in a computer readable memory if it is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be substantially implemented or a part of or all or part of the technical solution contributing to the prior art may be embodied in the form of a software product stored in a memory, and including several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the above-mentioned method of the embodiments of the present application. And the aforementioned memory comprises: various media capable of storing program codes, such as a usb disk, a read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic disk, or an optical disk.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable memory, which may include: flash Memory disks, read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The foregoing detailed description of the embodiments of the present application has been presented to illustrate the principles and implementations of the present application, and the above description of the embodiments is only provided to help understand the method and the core concept of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.
Claims (8)
1. A target group identification method is applied to a cloud server, the cloud server is in communication connection with at least one perception device, and the method comprises the following steps:
acquiring equipment information of a first mobile terminal of a target person through the at least one sensing equipment;
determining target position information of the first mobile terminal in a preset time period according to the equipment information and a preset positioning strategy;
acquiring device information of a first number of mobile terminals in a preset range by taking the target position information as a center through the at least one sensing device;
acquiring a first moving track of the first mobile terminal and a first number of moving tracks of the first number of mobile terminals in a preset time length;
determining a second number of mobile terminals in the first number of mobile terminals according to the first movement track and the first number of movement tracks, and determining that holders of the second number of mobile terminals are the target group;
wherein the determining a second number of mobile terminals of the first number of mobile terminals according to the first movement trajectory and the first number of movement trajectories includes: displaying the first moving track and the first number of moving tracks on a preset map interface; determining a third number of position points in the first moving track according to the generation time of each position point in the first moving track, wherein the generation time of any one position point in the third number of position points is the same as the time interval of the generation time of the adjacent position points; determining a third number of reference areas centered around each of the third number of location points and a proportion of each of the first number of movement trajectories within the reference areas; determining the second number of mobile terminals according to the proportion of each moving track in the reference area;
or, the determining a second number of mobile terminals in the first number of mobile terminals according to the first movement track and the first number of movement tracks includes: determining N reference position points in the first moving track, wherein the accumulated stay time length of the reference position points is longer than a preset time length, and N is a positive integer; determining at least one target position point with the accumulated stay time length being greater than the preset time length in each moving track according to the generation time of each moving track in the first number of moving tracks; determining a repetition rate of the at least one target location point and the N reference location points in each movement trajectory; determining a second number of movement tracks with the repetition rate larger than a preset proportion; and determining that the mobile terminals corresponding to the second number of movement tracks are the second number of mobile terminals.
2. The method of claim 1, wherein the cloud server is communicatively coupled to at least three sensing devices; the determining the target location information of the first mobile terminal in a preset time period according to the device information and a preset positioning strategy includes:
receiving the device information of at least one mobile terminal in the local sensing range, which is sent by each sensing device in the at least three sensing devices, in the preset time period;
determining the first mobile terminal in the equipment information of the at least one mobile terminal according to the equipment information of the first mobile terminal and the equipment information of the at least one mobile terminal;
sending a distance detection instruction to the at least three sensing devices so that each sensing device of the at least three sensing devices detects the distance to the first mobile terminal;
receiving the distance between each sensing device and the first mobile terminal, which is sent by each sensing device;
acquiring the position information of each sensing device in the at least three sensing devices;
and determining the target position information according to the position information of each sensing device in the at least three sensing devices and the distance between each sensing device in the at least three sensing devices and the first mobile terminal.
3. The method of claim 1, wherein the cloud server is communicatively coupled to a communication positioning system; the determining the target location information of the first mobile terminal in a preset time period according to the device information and a preset positioning strategy includes:
sending the device information to the communication positioning system;
and receiving the target position information which is sent by the communication positioning system and determined according to the equipment information.
4. The method according to any of claims 1-3, wherein said determining said second number of mobile terminals according to a proportion of said each movement trajectory within said reference area comprises:
determining a second number of movement trajectories of the first number of movement trajectories, the proportion of which in the reference area is greater than a preset proportion;
and determining that the mobile terminals corresponding to the second number of movement tracks are the second number of mobile terminals.
5. A method according to any of claims 1-3, wherein said determining that the holder of said second number of mobile terminals is said target group comprises:
acquiring the equipment information of the second number of mobile terminals through the at least one sensing equipment;
inquiring a preset database by taking the equipment information as an inquiry identifier to obtain the figure information corresponding to the inquiry identifier, wherein the database comprises a matching relation between the equipment information and the figure information;
and determining the target group according to the character information.
6. An identification device of target group is characterized in that the identification device is applied to a cloud server which is connected with at least one sensing device in a communication mode, the identification device of target group comprises a processing unit and a communication unit,
the processing unit is used for acquiring the equipment information of the first mobile terminal of the target person through the communication unit; the target position information of the first mobile terminal in a preset time period is determined according to the equipment information and a preset positioning strategy; acquiring equipment information of a first number of mobile terminals in a preset range by taking the target position information as a center through the communication unit; the communication unit is used for acquiring a first moving track of the first mobile terminal and a first number of moving tracks of the first number of mobile terminals in a preset time length; and the mobile terminal processing unit is used for determining a second number of mobile terminals in the first number of mobile terminals according to the first movement track and the first number of movement tracks and determining that holders of the second number of mobile terminals are the target group;
the processing unit is configured to determine a second number of mobile terminals in the first number of mobile terminals according to the first movement trajectory and the first number of movement trajectories, and the processing unit is specifically configured to: displaying the first moving track and the first number of moving tracks on a preset map interface; determining a third number of position points in the first moving track according to the generation time of each position point in the first moving track, wherein the generation time of any one position point in the third number of position points is the same as the time interval of the generation time of the adjacent position points; determining a third number of reference areas centered around each of the third number of location points and a proportion of each of the first number of movement trajectories within the reference areas; determining the second number of mobile terminals according to the proportion of each moving track in the reference area;
or, the processing unit is configured to determine, according to the first movement trajectory and the first number of movement trajectories, a second number of mobile terminals in the first number of mobile terminals, and the processing unit is specifically configured to: determining N reference position points in the first moving track, wherein the accumulated stay time length of the reference position points is longer than a preset time length, and N is a positive integer; determining at least one target position point with the accumulated stay time length being greater than the preset time length in each moving track according to the generation time of each moving track in the first number of moving tracks; determining a repetition rate of the at least one target location point and the N reference location points in each movement trajectory; determining a second number of movement tracks with the repetition rate larger than a preset proportion; and determining that the mobile terminals corresponding to the second number of movement tracks are the second number of mobile terminals.
7. A cloud server comprising a processor, a memory, a communication interface, and one or more programs stored in the memory and configured to be executed by the processor, the programs comprising instructions for performing the steps in the method of any of claims 1-5.
8. A computer-readable storage medium, characterized in that a computer program for electronic data exchange is stored, wherein the computer program causes a computer to perform the method according to any one of claims 1-5.
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| CN111612675B (en) * | 2020-05-18 | 2023-08-04 | 浙江宇视科技有限公司 | Method, device, equipment and storage medium for determining peer objects |
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