CN114339642B - Identification method, device, equipment and medium for accompanying user - Google Patents
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Abstract
The embodiment of the invention discloses a method, a device, equipment and a medium for identifying accompanying users, wherein the method comprises the following steps: acquiring signaling ticket data corresponding to a plurality of users respectively, and acquiring balanced positioning information of each user under each time slice in a monitoring time period according to positioning information and time point information included in each signaling ticket data; and screening out the accompanying users of the monitoring user from the other users according to the association degree of the monitoring user and the balanced positioning information of the other users under each time slice. According to the technical scheme, the positioning information of each user is obtained from the signaling ticket data, and the accompanying user identification is carried out based on the positioning information, so that the accompanying user can be accurately identified, the data calculation amount of the accompanying user identification can be reduced, the identification efficiency can be improved, the influence of external factors on the accompanying identification result can be avoided, and the accompanying user can be accurately identified in any scene.
Description
Technical Field
The embodiment of the invention relates to the technical field of computers, in particular to a method, a device, equipment and a medium for identifying accompanying users.
Background
The method has important significance for realizing safety early warning and effectively preventing and controlling crime occurrence by carrying out real-time accompanying personnel detection on key monitoring personnel.
At present, the existing accompanying detection methods mainly comprise an accompanying detection method based on track similarity and an accompanying detection method based on an accompanying model. The accompanying detection method based on the track similarity mainly acquires the position information of the personnel based on the Internet protocol address, and recommends the personnel with the track similarity through a measurement algorithm of the cosine similarity; however, for the scenario that the position activity of the internet protocol address is not strong and the position of the personnel is changed much, such as mobile telecommunication fraud molecules, the detection accuracy is low. In the companion detection method based on the companion model, the companion detection performance is easily affected by factors such as weather, video definition and the like, the data calculation amount is large, and a large amount of calculation and time resources are easily consumed.
Disclosure of Invention
The embodiment of the invention provides a method, a device, equipment and a medium for identifying an accompanying user, which can realize accurate identification of the accompanying user, reduce the data calculation amount of the accompanying user identification, improve the identification efficiency, avoid the influence of external factors on the accompanying identification result and realize the accurate identification of the accompanying user in any scene.
In a first aspect, an embodiment of the present invention provides a method for identifying an accompanying user, including:
acquiring signaling call ticket data corresponding to a plurality of users respectively, wherein the plurality of users comprise monitoring users;
according to the positioning information and the time point information included in the signaling ticket data, acquiring balanced positioning information of each user under each time slice in the monitoring time period;
and screening the other users to obtain the accompanying users of the monitoring user according to the association degree of the monitoring user and the other users for balancing the positioning information under each time slicing.
In a second aspect, an embodiment of the present invention further provides an identification device accompanying a user, including:
the system comprises a signaling call ticket data acquisition module, a monitoring module and a data processing module, wherein the signaling call ticket data acquisition module is used for acquiring signaling call ticket data corresponding to a plurality of users respectively, and the plurality of users comprise monitoring users;
the balanced positioning information acquisition module is used for acquiring balanced positioning information of each user under each time slice in the monitoring time period according to the positioning information and the time point information included in each signaling ticket data;
and the accompanying user acquisition module is used for screening the accompanying users of the monitoring user from the other users according to the association degree of the monitoring user and the other users for balancing the positioning information under the time slices.
In a third aspect, an embodiment of the present invention further provides an electronic device, including:
one or more processors;
a memory for storing one or more computer programs;
the identification method accompanying the user provided by any embodiment of the present invention is implemented when the one or more computer programs are executed by the one or more processors, such that the one or more processors execute the computer programs.
In a fourth aspect, an embodiment of the present invention further provides a computer readable storage medium, where a computer program is stored, where the program when executed by a processor implements the identification method accompanying the user provided in any embodiment of the present invention.
According to the technical scheme provided by the embodiment of the invention, the balanced positioning information of each user under each time slice in the monitoring time period is obtained by obtaining the signaling ticket data corresponding to a plurality of users respectively and according to the positioning information and the time point information included in each signaling ticket data; according to the association degree of the monitoring user and the balanced positioning information of other users in each time slice, the companion user of the monitoring user is obtained by screening among the other users; the positioning information of each user is obtained from the signaling ticket data, and the accompanying user identification is carried out based on the positioning information, so that the accurate identification of the accompanying user can be realized, the data calculation amount of the accompanying user identification can be reduced, the identification efficiency can be improved, the influence of external factors on the accompanying identification result can be avoided, and the accurate identification of the accompanying user in any scene can be realized.
Drawings
FIG. 1A is a flow chart of a method of identification of an accompanying user in an embodiment of the invention;
FIG. 1B is a schematic diagram of a time slicing according to one embodiment of the present invention;
FIG. 1C is a schematic diagram of a sphere model in accordance with an embodiment of the present invention;
FIG. 1D is a schematic diagram of an accompanying scope in an embodiment of the invention;
FIG. 1E is a schematic diagram of a process for identifying accompanying personnel according to an embodiment of the invention;
FIG. 2A is a flow chart of a method of identification of an accompanying user in another embodiment of the invention;
FIG. 2B is a schematic diagram of a user motion profile according to another embodiment of the present invention;
FIG. 2C is a schematic diagram of a process for identifying accompanying personnel in another embodiment of the invention;
FIG. 3 is a schematic diagram of an identification device associated with a user according to another embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to another embodiment of the present invention.
Detailed Description
Embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While the invention is susceptible of embodiment in the drawings, it is to be understood that the invention may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided to provide a more thorough and complete understanding of the invention. It should be understood that the drawings and embodiments of the invention are for illustration purposes only and are not intended to limit the scope of the present invention.
It should be understood that the various steps recited in the method embodiments of the present invention may be performed in a different order and/or performed in parallel. Furthermore, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the invention is not limited in this respect.
The term "including" and variations thereof as used herein are intended to be open-ended, i.e., including, but not limited to. The term "based on" is based at least in part on. The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments. Related definitions of other terms will be given in the description below.
It should be noted that the terms "first," "second," and the like herein are merely used for distinguishing between different devices, modules, or units and not for limiting the order or interdependence of the functions performed by such devices, modules, or units.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and it should be understood by those skilled in the art that "one or more" is intended to be interpreted as "one or more" unless the context clearly indicates otherwise.
The names of messages or information interacted between the devices in the embodiments of the present invention are for illustrative purposes only and are not intended to limit the scope of such messages or information.
Fig. 1A is a flowchart of a method for identifying an accompanying user according to an embodiment of the present invention, where the embodiment of the present invention is applicable to determining a situation of an accompanying user of a monitoring user by using user positioning information in signaling call ticket data; the method may be performed by an identification means accompanying the user, which means may consist of hardware and/or software and may be integrated in an electronic device in general, and in a computer device or a server in typical cases. As shown in fig. 1A, the method specifically includes the following steps:
s110, obtaining signaling ticket data corresponding to a plurality of users respectively.
Wherein the plurality of users comprises monitoring users and other users; in this embodiment, the monitoring user is a predetermined user who needs to perform the accompanying detection; the other users may be users at the same base station as the monitoring user or at nearby base stations.
In this embodiment, signaling ticket data corresponding to each user may be obtained by an operator, where the signaling ticket data may include information such as start time, end time, mobile phone number, longitude, latitude, tracking area code (Tracking Area Code, TAC), cell identifier (E-UTRAN Cell Identifier, ECI), base station Identifier (ID), base station name, cell longitude, and cell latitude.
It will be appreciated that each user currently typically has two or even more handset numbers, and thus each user may correspond to multiple types of signaling ticket data. In this embodiment, the correspondence between the user and the mobile phone number may be obtained in advance, so as to determine, according to the mobile phone number in the signaling ticket data, the user corresponding to each signaling ticket data.
S120, according to the positioning information and the time point information included in the signaling ticket data, the balanced positioning information of each user in each time slice in the monitoring time period is obtained.
The positioning information may be longitude and latitude information in the signaling call ticket data, and the time point information may be a start time in the signaling call ticket data. The monitoring period may be a preset time interval, for example, a month or a week, etc.
In this embodiment, after acquiring the signaling ticket data of each user, longitude and latitude information and time point information contained in each signaling ticket data may be extracted first to acquire positioning information of each user at different time points; and then sequencing the longitude and latitude information according to the time sequence to acquire continuous positioning information of each user in the monitoring time period. Finally, each longitude and latitude information can be mapped to the corresponding time slice according to the time point information corresponding to each longitude and latitude information.
In this embodiment, the time slicing process may be performed on the monitoring period in advance to obtain a plurality of time slices corresponding to the monitoring period. The time length of each time slice is the same, and the time length can be adaptively adjusted according to task requirements.
Furthermore, the method can summarize a plurality of positioning information corresponding to each user in each time slice so as to acquire balanced positioning information of each user in each time slice; for example, an average of a plurality of longitudes and longitudes in each time slice may be calculated to obtain the average longitude and average latitude as balanced positioning information in the corresponding time slice; alternatively, the longitudes and the longitudes in each time slice may be weighted and summed to obtain weighted and summed longitudes and longitudes as corresponding balanced positioning information.
In an optional implementation manner of this embodiment, according to the positioning information and the time point information included in each signaling ticket data, obtaining the balanced positioning information of each user under each time slice in the monitoring time period may include: acquiring each target signaling call ticket data corresponding to a current processing user; mapping the positioning information in each target signaling ticket data to the matched time slices in the monitoring time period according to the time point information in each target signaling ticket data; and calculating the balanced positioning information of the current processing user under each time slicing according to the positioning information included in each time slicing.
In this embodiment, as shown in fig. 1B, the monitoring period may be divided into a plurality of time slices; and determining the corresponding time slices according to the time point information in the target signaling ticket data corresponding to the current processing user so as to divide the positioning information in the target signaling ticket data into the time slices. Thus, in each time slice, a plurality of pieces of positioning information corresponding to the current processing user can be acquired. Further, in each time slice, corresponding balanced positioning information can be obtained according to a plurality of positioning information.
According to the positioning information included in each time slice, the balanced positioning information of the current processing user under each time slice is calculated, which may include: and respectively carrying out averaging processing on the positioning information included in each time slice, and calculating to obtain the average value of the positioning information of the current processing user under each time slice as balanced positioning information.
In this embodiment, an average value of positioning information of a user in one time slice may be used as balanced positioning information of the user in the current time slice; for example, an average value of a plurality of longitudes is taken as an equalized longitude, and an average value of a corresponding plurality of longitudes is taken as an equalized latitude.
The advantages of the above arrangement are that: by summarizing a plurality of position information of a user in one time slice into one balanced positioning information, scattered and irregular positioning information in signaling call ticket data can be normalized.
In another optional implementation manner of this embodiment, after mapping the positioning information in each target signaling ticket data to the matched time slices in the monitoring time period according to the time point information in each target signaling ticket data, the method may further include: acquiring the receiving time of each target signaling call ticket data corresponding to the current processing user, and determining a corresponding data sliding window according to the receiving time and a preset time tolerance range; judging whether abnormal time slices with the corresponding time interval smaller than the minimum time boundary of the data sliding window exist or not; if yes, deleting the positioning information in the abnormal time slicing.
It should be noted that, in the actual environment, there is a fluctuation of the signaling call ticket data in the time dimension, that is, the currently received signaling call ticket data may be the previous historical signaling call ticket data. For example, the acquisition time of the signaling ticket data is 9:00, but the time information corresponding to each acquired signaling ticket data may be in the time range of 7:00-10:00, and at this time, the user's accompanying situation cannot be represented for the signaling ticket data with early time.
In view of the above problems, in this embodiment, the receiving time of the signaling call ticket data may be taken as a window center, and a preset time tolerance range is taken as a front-back time range of the sliding window, so as to establish a corresponding data sliding window; for example, the receiving time of the signaling ticket data is 8:00, the preset time tolerance range is 1 hour, and the corresponding time range of the data sliding window is 7:00-9:00. Thus, the positioning information in the time slices corresponding to the time less than the minimum time boundary of the data sliding window is directly deleted.
The advantages of the above arrangement are that: the influence of time dimension fluctuation on the identification of the accompanying user can be eliminated, the processing of invalid historical signaling call ticket data can be avoided, the data processing amount is reduced, and the identification efficiency of the accompanying user is improved.
S130, screening out the accompanying users of the monitoring user from the other users according to the association degree of the monitoring user and the other users for balancing the positioning information under each time slicing.
In this embodiment, in each time slicing, the distance between the monitoring user and the other users may be calculated according to the balanced positioning information of the monitoring user and the other users in the current time slicing, and the degree of association between the monitoring user and the other users may be determined according to the distance between the monitoring user and the other users. For example, if the distance between one user and the monitoring user is closer, the association degree between the two users can be considered to be higher; if one user is farther from the monitoring user, the degree of association between the two can be considered to be lower.
Further, the association degree of other users and the monitoring user can be used for determining the accompanying user of the monitoring user; for example, if the association of a user with a monitoring user is greater than a preset association threshold, it may be determined that the user is an accompanying user of the monitoring user. Furthermore, it should be noted that when a user has a higher degree of association with a monitoring user in only one time slice and a lower degree of association in other time slices, the user may still be determined as an accompanying user of the monitoring user; or further judging the association degree of the user and the monitoring user in the subsequent time slices, and finally if the association degree of the user and the monitoring user in a plurality of (for example, more than 3) time slices is detected to be higher in the monitoring time period, determining the user as the accompanying user of the monitoring user.
The advantages of the above arrangement are that: by using the user with higher association degree with the monitoring user in any time slicing as the accompanying user, the missing detection of the accompanying user can be avoided, and the accurate detection of all the accompanying users can be realized.
When calculating the distance between the monitoring user and other users according to the balanced positioning information of the monitoring user and other users in the current time slicing, it may be assumed that the earth is a sphere (actually an ellipsoid), and as shown in fig. 1C, the spherical distance between two points is calculated according to the longitude and latitude a [ lat1, lng1] and B [ lat2, lng2 ]. Where lat is an abbreviation for the dimension latitudide and lng is an abbreviation for longitude.
Firstly, according to longitude and latitude information of two points, calculating to obtain position coordinates of the two points; for example, assuming that the earth radius is 1, the three-dimensional coordinates of the point a may be expressed as (cos lat1×cos lng1, cos lat1×sin lng1, sin lat 1), and the corresponding three-dimensional coordinates of the point B may be expressed as (cos lat2×cos lng2, cos lat2×sin lng2, sin lat 2). Then, according to the coordinates of the two points, calculating radians of the two points; specifically, the formula may be: cos < aob=cos lat1×cos lat2×cos lng2+cos lat1×sin lat1×cos lat2×sin lat2+sin lat1×sin lat2=cos lat1×cos lat2 (cos lng1×cos lng2+sin lat1×sin lat2) +sin lat1×sin lat2=cos lat1×cos lat2×cos (lng1—lng2) +sin lat1×sin lat2+sin lat1×sin lat2, the radian cos < AOB at both points a and B is calculated. Finally, calculating to obtain the spherical distance between the two points according to the radian between the two points; specifically, the formula may be: spherical distance = R x arcos (cos < AOB), the spherical distance between points a and B is calculated.
Optionally, a Euclidean distance model can be adopted, and the association degree between the monitoring user and other users is determined according to the distance between the monitoring user and the other users; i.e., a circular companion range as shown in fig. 1D, if the distance between a user and a monitoring user is less than a preset distance threshold, the user is considered to be a companion user of the monitoring user.
Optionally, the equilibrium positioning information (longitude and latitude information) of the monitoring user in each time slice can be used as the accompanied point, and a rectangular accompanying range can be determined according to the accompanied point and a preset accompanying distance threshold; for example, as shown in a spherical rectangular model in fig. 1D, the equilibrium positioning information of the monitoring user in one time slice is (x, y), and the preset fixed value is Deltay, and then the longitude and latitude boundary of the corresponding accompanying range may be expressed as (x+deltax, x-Deltax, y+deltay, y-Deltay); in this case, the user whose corresponding latitude and longitude information is located in the accompanying range can be regarded as an accompanying user who monitors the user.
The advantages of the above arrangement are that: the calculation step of the distance between the monitoring user and other users can be omitted, the data calculation amount can be greatly reduced, the identification efficiency of the accompanying user is further improved, and the accompanying real-time detection of the monitoring user is realized.
Wherein, the characteristic pairs of the Euclidean distance model and the spherical rectangle model are shown in a table 1. For the Euclidean distance model, the distance between the balanced positioning information of all other users and the balanced positioning information of the monitoring user needs to be calculated, the calculated amount is large, the calculation speed is low, and the coverage accompanying range is small. For the spherical rectangular model, the coverage accompanying range is larger, but the data calculation amount is greatly reduced, and the operation efficiency is improved. In this embodiment, an applicable model may be selected according to an actual scene.
TABLE 1 characterization comparison of Euclidean distance model and spherical rectangular model
| Contrast attributes | European distance model | Spherical rectangular model |
| Coverage area | 100％ | 127％ |
| Calculating the speed | Slower | Quick-acting toy |
According to the technical scheme provided by the embodiment of the invention, the balanced positioning information of each user under each time slice in the monitoring time period is obtained by obtaining the signaling ticket data corresponding to a plurality of users respectively and according to the positioning information and the time point information included in each signaling ticket data; according to the association degree of the monitoring user and the balanced positioning information of other users in each time slice, the companion user of the monitoring user is obtained by screening among the other users; the positioning information of each user is obtained from the signaling ticket data, and the accompanying user identification is carried out based on the positioning information, so that the accurate identification of the accompanying user can be realized, the data calculation amount of the accompanying user identification can be reduced, the identification efficiency can be improved, the influence of external factors on the accompanying identification result can be avoided, and the accurate identification of the accompanying user in any scene can be realized.
In a specific implementation of this embodiment, the accompanying person identification process is shown in fig. 1E. Specifically, firstly, acquiring signaling call ticket data of a whole amount of key personnel (including monitoring users and other users) and extracting position data; the single signaling call ticket data may include information such as start time, end time, mobile phone number, longitude, latitude, TAC, ECI, base station identifier, base station name, cell longitude, and cell latitude. The longitude and latitude information of the total key personnel can be summarized and generated by acquiring the user signaling ticket data and extracting the position information and the time information from the user signaling ticket data.
Then, the signaling call ticket data is segmented by adopting a time slicing scheme, personnel accompanying conditions are judged in each time slicing, so that the signaling call ticket data of the effective accompanying user (alternative user) is reserved, and the signaling call ticket data of the ineffective accompanying user is removed. Further, calculating the accompanying characteristic values of the candidate users under the current time slicing through the accompanying model, combining the current accompanying characteristic values and the historical accompanying characteristic values, generating accompanying characteristic matrixes of the candidate users, and outputting accompanying results meeting the conditions. And simultaneously, calculating the accompanying characteristic values of the alternative users under the current time slicing, and storing the signaling call ticket data corresponding to each alternative user in a historical data memory.
Finally, the associated data can be extracted from the historical data memory through the accompanying result to synthesize the accompanying detection result, and the accompanying detection result is output and displayed. The companion detection result may include information such as a companion number, a companion number longitude, a companion number latitude, a companion time, a start time, an end time, a base station identification, a base station name, and a duration of a single companion.
Fig. 2A is a flowchart of a method for identifying an accompanying user according to another embodiment of the present invention, where the technical solution in this embodiment is further refined, and the technical solution in this embodiment may be combined with one or more of the foregoing embodiments. Specifically, referring to fig. 2A, the method specifically includes the following steps:
s210, obtaining signaling ticket data corresponding to a plurality of users respectively.
Wherein the plurality of users includes monitoring users.
S220, according to the positioning information and the time point information included in the signaling ticket data, the balanced positioning information of each user in each time slice in the monitoring time period is obtained.
In this embodiment, after the positioning information and the time point information of each user are acquired, the motion trail of each user may be displayed in a three-dimensional coordinate system of longitude, latitude and time. For example, a user motion trajectory as shown in fig. 2B; the connection line is used for connecting the positioning information of the monitoring personnel at different time points so as to obtain the movement track of the monitoring personnel; the other coordinate points are recorded points of positions of other users at different time points.
S230, the balanced positioning information of the other users under each time slice is compared with the balanced positioning information of the monitoring user under each time slice respectively.
And S240, if the difference value between the balanced positioning information of the target user and the monitoring user is determined to be within the preset accompanying range under the target time slicing, the target user is determined to be an alternative user of the monitoring user.
The preset accompanying range may be a preset longitude and latitude information difference value. In this embodiment, if it is detected that the longitude difference value and the latitude difference value of the longitude and latitude information of the target user are smaller than the preset longitude difference value threshold value and the preset latitude difference value threshold value under the target time slicing, it may be determined that the target user is located in the accompanying range of the monitoring user under the current time slicing, and at this time, the target user may be determined as an alternative user.
S250, generating an accompanying feature matrix corresponding to each candidate user according to the difference value between the balanced positioning information of each candidate user and the monitoring user under each time slicing.
Furthermore, the difference value between the balanced positioning information of each candidate user and the monitoring user under each time slicing can be directly used as a corresponding accompanying characteristic value, so that an accompanying characteristic matrix corresponding to each candidate user is obtained; alternatively, the concomitant feature value of the time slice, in which the difference value between the balanced positioning information of the corresponding candidate user and the monitoring user is within the preset concomitant range, may be set to a first preset value (for example, 1), and the concomitant feature value of the other time slice may be set to a second preset value (for example, 0), so as to obtain the concomitant feature matrix corresponding to each candidate user.
In an optional implementation manner of this embodiment, generating the accompanying feature matrix corresponding to each candidate user respectively according to a difference value between the candidate users and the balanced positioning information of the monitoring user under each time slice may include:
if detecting that the difference value between the balanced positioning information of one candidate user and the monitoring user is in the preset accompanying range under the current time slicing, setting the accompanying characteristic value of the detected candidate user under the current time slicing to be 1; if detecting that the difference value between the balanced positioning information of one candidate user and the monitoring user is not in the preset accompanying range under the current time slicing, setting the accompanying characteristic value of the detected candidate user under the current time slicing to be 0; and sequentially acquiring the accompanying characteristic values of each candidate user under each time slicing, and acquiring accompanying characteristic matrixes respectively corresponding to each candidate user according to the characteristic values.
Specifically, for each candidate user, judging whether a difference value between balanced positioning information of each time slicing and the monitoring user is within a preset accompanying range, if so, determining that the candidate user accompanies the monitoring user in the current time slicing, and setting an accompanying characteristic value corresponding to the current time slicing to be 1; otherwise, determining that the candidate user is not accompanied with the monitoring user in the current time slicing, and setting the accompanying characteristic value corresponding to the current time slicing to 0. Thereby, the accompanying feature matrix corresponding to each candidate user is obtained. Further, the accompanying feature matrices corresponding to all the candidate users may be obtained as shown in table 2. Wherein a number is considered as a user, 1 indicates accompanying, and 0 indicates not accompanying.
TABLE 2 companion feature matrix
In this embodiment, after the accompanying feature value of each candidate user in one time slice is obtained, the accompanying feature value is stored, after the accompanying feature value of the next adjacent time slice is obtained, the accompanying feature values of the current time slice and the previous time slice are combined, and finally, the accompanying feature matrix corresponding to each candidate user is obtained.
S260, identifying the accompanying users in the candidate users according to the accompanying feature matrixes.
In this embodiment, after the accompanying feature matrix is obtained, continuous accompanying judgment may be performed on the accompanying feature matrix corresponding to each candidate user, so as to further screen out the candidate users to obtain the accompanying users. Specifically, for each of the accompanying feature matrices of the candidate users, it is determined whether or not it is determined to be accompanying in a plurality of consecutive time slices (there are a plurality of consecutive 1 s of the accompanying feature matrices), and if so, the candidate user may be determined to be an accompanying user. For example, as for the third number, the accompanying feature value corresponding to each time slice of the third number is 1, which indicates that the third number is accompanied by the monitoring user in each time slice, and at this time, the user corresponding to the third number can be directly determined as the accompanying user; for another example, for the fifth number, the accompanying feature values corresponding to the first three time slices are all 1, and at this time, the user corresponding to the number may be determined as the accompanying user.
In an optional implementation manner of this embodiment, identifying the accompanying user among the candidate users according to each of the accompanying feature matrices may include: and acquiring the candidate users with the number of which the corresponding accompanying characteristic values are continuously 1 and larger than a preset number threshold value from the candidate users as accompanying users.
The preset quantity threshold value can be adaptively set according to task requirements; for example, if a higher concomitant identification accuracy is required, a larger preset number threshold may be set; if a more complete attendant user identification is required, a smaller preset number threshold may be set.
In this embodiment, if it is detected that the number of continuous accompanying feature values of 1 corresponding to one candidate user is greater than the preset number threshold, it may be determined that the candidate user satisfies the continuous accompanying event judgment condition, and the candidate user is determined as an accompanying user.
Optionally, after determining the alternative users of the monitoring user, the signaling call ticket data corresponding to each alternative may be stored in the intermediate memory. Specifically, the correspondence between the signaling ticket data corresponding number and the storage identifier can be generated and used as an index of each signaling ticket data. Therefore, after the accompanying user of the monitoring user is determined, the corresponding storage identification can be extracted from the intermediate memory according to the number of the accompanying user, and the corresponding signaling call ticket data can be obtained according to the storage identification; and finally, extracting preset field information, such as information of numbers, longitudes, dimensions, base station identifiers, base station names and the like, from the signaling call ticket data.
Further, after the preset field information is extracted, the accompanying information can be determined according to the accompanying feature matrix of the accompanying user; the accompanying information may include information such as an accompanying start time, an accompanying end time, and a duration of a single accompanying. Finally, the preset field information and the accompanying information can be combined to output an accompanying detection report for the monitoring user.
According to the technical scheme provided by the embodiment of the invention, the balanced positioning information of other users under each time slicing is compared with the balanced positioning information of the monitoring user under each time slicing respectively; if the difference value between the balanced positioning information of the target user and the monitoring user is determined to be within the preset accompanying range under the target time slicing, the target user is determined to be an alternative user of the monitoring user; further, generating an accompanying feature matrix corresponding to each candidate user according to the difference value between the balanced positioning information of each candidate user and the monitoring user under each time slicing; identifying the accompanying users in the candidate users according to the accompanying feature matrixes; according to the method, the device and the system, the candidate users are screened from other users according to the preset accompanying range, and then the final accompanying user is determined according to the accompanying feature matrix of each candidate user, so that the recognition accuracy of the accompanying user is further improved.
In a specific implementation of this embodiment, the accompanying person identification process is shown in fig. 2C. Specifically, firstly, a data primary screening module is adopted to screen the acquired signaling ticket data, including acquiring positioning information and time information from signaling ticket data of each user, and dividing the positioning information according to time slices, so that in each time slice, alternative users and corresponding signaling ticket data accompanying with monitoring users are screened. Then, the acquired time slices are input into a data sliding window, the window is subject to time slicing of the latest input data, the window slides only along the time to the future direction (if historical data exists and the time of the historical data is earlier than the earliest time of the time window, the historical data is directly discarded), and if the time of the time sliced data slides out of the window, the window is entered into a model for calculation.
And secondly, inputting the signaling call ticket data corresponding to the alternative user in the time slicing output by the data sliding window to the data slicer so as to store the signaling call ticket data into a plurality of corresponding historical data packets. Meanwhile, carrying out accompanying feature calculation on the balanced positioning information in the current time slicing to obtain accompanying feature values corresponding to all the candidate users in the current time slicing, and further obtaining accompanying feature matrixes corresponding to all the candidate users by combining the accompanying feature values corresponding to all the candidate users in the historical time slicing stored in the historical feature memory.
Further, backfilling the accompanying characteristic values of the non-accompanying time periods corresponding to the candidate users in the accompanying characteristic matrix to obtain a complete accompanying characteristic matrix corresponding to the candidate users. Then, continuous accompanying time judgment is carried out on the accompanying feature matrix of each candidate user so as to determine the accompanying user in the candidate users, and the number and the time slicing number corresponding to the accompanying user are recorded. Finally, a history data extraction identifier extractor is adopted, corresponding history data extraction identifiers are obtained according to numbers corresponding to accompanying users, and preset field contents in corresponding signaling ticket data are extracted according to the history data extraction identifiers; meanwhile, according to the time slicing number, the accompanying detection information such as the accompanying time, the starting time and the ending time is determined, and then the preset field content and the accompanying detection information are combined to synthesize output data. Wherein the output data may include: the number to be accompanied, the longitude of the number to be accompanied, the latitude of the number to be accompanied, the time to be accompanied, the start time, the end time, the base station identification, the base station name, the duration of single accompanying, and the like.
It should be noted that, in the technical solution of the present embodiment, the related acquisition, storage, application, etc. of the personal information of the user all conform to the rules of the related laws and regulations, and do not violate the popular regulations of the public order.
Fig. 3 is a schematic structural diagram of an identification device associated with a user according to another embodiment of the present invention. As shown in fig. 3, the apparatus includes: a signaling call ticket data acquisition module 310, an equilibrium positioning information acquisition module 320 and an accompanying user acquisition module 330. Wherein,,
a signaling call ticket data acquisition module 310, configured to acquire signaling call ticket data corresponding to a plurality of users respectively, where the plurality of users include monitoring users;
the balanced positioning information obtaining module 320 is configured to obtain balanced positioning information of each user under each time slice in the monitoring time period according to the positioning information and the time point information included in each signaling ticket data;
and the accompanying user obtaining module 330 is configured to screen out the accompanying users of the monitoring user from the other users according to the association degree of the monitoring user and the other users for balancing the positioning information under each time slice.
According to the technical scheme provided by the embodiment of the invention, the balanced positioning information of each user under each time slice in the monitoring time period is obtained by obtaining the signaling ticket data corresponding to a plurality of users respectively and according to the positioning information and the time point information included in each signaling ticket data; according to the association degree of the monitoring user and the balanced positioning information of other users in each time slice, the companion user of the monitoring user is obtained by screening among the other users; the positioning information of each user is obtained from the signaling ticket data, and the accompanying user identification is carried out based on the positioning information, so that the accurate identification of the accompanying user can be realized, the data calculation amount of the accompanying user identification can be reduced, the identification efficiency can be improved, the influence of external factors on the accompanying identification result can be avoided, and the accurate identification of the accompanying user in any scene can be realized.
Optionally, based on the above technical solution, the balanced positioning information obtaining module 320 includes:
the target signaling call ticket data acquisition unit is used for acquiring each target signaling call ticket data corresponding to the current processing user;
the positioning information mapping unit is used for mapping the positioning information in each target signaling ticket data to the matched time slices in the monitoring time period according to the time point information in each target signaling ticket data;
and the balanced positioning information calculation unit is used for calculating and obtaining the balanced positioning information of the current processing user under each time slice according to the positioning information included in each time slice.
Optionally, on the basis of the above technical solution, the balanced positioning information calculating unit includes:
and the average value calculating subunit is used for respectively carrying out average value processing on the positioning information included in each time slice and calculating to obtain the average value of the positioning information of the current processing user under each time slice as balanced positioning information.
Optionally, on the basis of the above technical solution, the accompanying user obtaining module 330 includes:
the information comparison unit is used for respectively comparing the balanced positioning information of the other users under each time slicing with the balanced positioning information of the monitoring user under each time slicing;
The alternative user determining unit is used for determining the target user as the alternative user of the monitoring user if the difference value between the balanced positioning information of the target user and the monitoring user is determined to be within a preset accompanying range under the condition of target time slicing;
the accompanying feature matrix generation unit is used for generating accompanying feature matrixes respectively corresponding to the candidate users according to the difference value between the balanced positioning information of the candidate users and the monitoring user under each time slice;
and the accompanying user identification unit is used for identifying the accompanying user in the candidate users according to the accompanying feature matrixes.
Optionally, on the basis of the above technical solution, the accompanying feature matrix generating unit includes:
the characteristic value setting subunit is used for setting the accompanying characteristic value of the detected alternative user under the current time slicing to be 1 if the difference value between the equilibrium positioning information of the alternative user under the current time slicing and the equilibrium positioning information of the monitoring user is detected to be in a preset accompanying range; and
if detecting that the difference value between the balanced positioning information of one candidate user and the monitoring user is not in the preset accompanying range under the current time slicing, setting the accompanying characteristic value of the detected candidate user under the current time slicing to be 0;
The accompanying feature matrix obtaining subunit is used for sequentially obtaining the accompanying feature values of the candidate users under each time slicing, and obtaining the accompanying feature matrix corresponding to each candidate user according to each feature value.
Optionally, on the basis of the above technical solution, the accompanying user identification unit is specifically configured to: and acquiring the candidate users with the number of which the corresponding accompanying characteristic values are continuously 1 and larger than a preset number threshold value from the candidate users as accompanying users.
Optionally, based on the above technical solution, the balanced positioning information obtaining module 320 further includes:
the data sliding window determining unit is used for obtaining the receiving time of each target signaling call ticket data corresponding to the current processing user and determining a corresponding data sliding window according to the receiving time and a preset time tolerance range;
the positioning information deleting unit is used for judging whether abnormal time slices with the corresponding time interval smaller than the minimum time boundary of the data sliding window exist or not; if yes, deleting the positioning information in the abnormal time slicing.
The device can execute the identification method for the accompanying user provided by the embodiment of the invention, and has the corresponding functional modules and beneficial effects of executing the method. Technical details which are not described in detail in the embodiments of the present invention can be seen in the identification method accompanying the user provided in the foregoing embodiments of the present invention.
Fig. 4 is a schematic structural diagram of an electronic device according to another embodiment of the present invention, and as shown in fig. 4, the electronic device includes a processor 410, a memory 420, an input device 430 and an output device 440; the number of processors 410 in the electronic device may be one or more, one processor 410 being taken as an example in fig. 4; the processor 410, memory 420, input device 430, and output device 440 in the electronic device may be connected by a bus or other means, for example in fig. 4. The memory 420 is used as a computer readable storage medium for storing a software program, a computer executable program, and modules, such as program instructions/modules corresponding to a method for identifying an accompanying user in any embodiment of the present invention (e.g., a signaling call ticket acquiring module 310, an equilibrium location information acquiring module 320, and an accompanying user acquiring module 330 in an apparatus for identifying an accompanying user). The processor 410 executes various functional applications of the electronic device and data processing by running software programs, instructions and modules stored in the memory 420, i.e., implements one of the above-described accompanying user identification methods. That is, the program, when executed by the processor, implements:
Acquiring signaling call ticket data corresponding to a plurality of users respectively, wherein the plurality of users comprise monitoring users;
according to the positioning information and the time point information included in the signaling ticket data, acquiring balanced positioning information of each user under each time slice in the monitoring time period;
and screening the other users to obtain the accompanying users of the monitoring user according to the association degree of the monitoring user and the other users for balancing the positioning information under each time slicing.
The input device 430 may be used to receive input numeric or character information and to generate key signal inputs related to user settings and function control of the electronic device, and may include a keyboard, a mouse, and the like. The output 440 may include a display device such as a display screen.
Optionally, the electronic device may be a server, and the server may be an independent server, or may be a cloud server that provides cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, content delivery networks (Content Delivery Network, CDN), and basic cloud computing services such as big data and artificial intelligence platforms.
The embodiments of the present invention also provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the method according to any of the embodiments of the present invention. Of course, the computer readable storage medium provided in the embodiments of the present invention may perform the related operations in the identification method accompanying the user provided in any embodiment of the present invention. That is, the program, when executed by the processor, implements:
acquiring signaling call ticket data corresponding to a plurality of users respectively, wherein the plurality of users comprise monitoring users;
According to the positioning information and the time point information included in the signaling ticket data, acquiring balanced positioning information of each user under each time slice in the monitoring time period;
and screening the other users to obtain the accompanying users of the monitoring user according to the association degree of the monitoring user and the other users for balancing the positioning information under each time slicing.
From the above description of embodiments, it will be clear to a person skilled in the art that the present invention may be implemented by means of software and necessary general purpose hardware, but of course also by means of hardware, although in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as a floppy disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a FLASH Memory (FLASH), a hard disk or an optical disk of a computer, etc., and include several instructions for causing an electronic device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments of the present invention.
It should be noted that, in the above embodiment of the identification device accompanying the user, each unit and module included are only divided according to the functional logic, but not limited to the above division, so long as the corresponding functions can be implemented; in addition, the specific names of the functional units are also only for distinguishing from each other, and are not used to limit the protection scope of the present invention.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. Those skilled in the art will appreciate that the invention is not limited to the specific embodiments described herein, and that various obvious changes, rearrangements and substitutions can be made by those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (9)
1. A method of identifying an accompanying user, comprising:
acquiring signaling call ticket data corresponding to a plurality of users respectively, wherein the plurality of users comprise monitoring users;
Acquiring each target signaling call ticket data corresponding to a current processing user;
performing time slicing processing on a monitoring time period according to task requirements to obtain a plurality of time slices corresponding to the monitoring time period; ordering the positioning information in each target signaling call ticket data according to the time sequence to acquire the continuous positioning information of each user in the monitoring time period;
according to the time point information in each target signaling ticket data, mapping the continuous positioning information of each user in the monitoring time period to the matched time slices in the monitoring time period;
according to the positioning information included in each time slice, calculating to obtain balanced positioning information of the current processing user under each time slice;
according to the association degree of the monitoring user and other users in the time slicing and balancing positioning information, screening the other users to obtain the accompanying users of the monitoring user;
wherein, according to the association degree of the monitoring user and other users in the time slicing and balancing the positioning information, filtering out the accompanying users of the monitoring user from the other users, including:
Taking the balanced positioning information of the monitoring user in each time slice as an accompanied point;
determining a rectangular accompanying range according to the accompanying points and a preset accompanying distance threshold;
calculating the distance between the user with the balanced positioning information in the accompanying range and the monitoring user;
determining the association degree of the monitoring user and the user according to the distance between the monitoring user and the user;
and if the association degree between the user and the monitoring user is larger than a preset association degree threshold value in one or more than three time slices, determining the user as an accompanying user of the monitoring user.
2. The method of claim 1, wherein calculating the equalized positioning information for the current processing user under each of the time slices based on the positioning information included in each of the time slices comprises:
and respectively carrying out averaging processing on the positioning information included in each time slice, and calculating to obtain the average value of the positioning information of the current processing user under each time slice as balanced positioning information.
3. The method of claim 1, wherein filtering out the accompanying users of the monitoring user from the other users according to the association degree of the monitoring user and the other users for balancing the positioning information under each time slice, further comprises:
The balanced positioning information of the other users under each time slicing is compared with the balanced positioning information of the monitoring user under each time slicing respectively;
if the difference value between the balanced positioning information of the target user and the monitoring user is determined to be within the preset accompanying range under the target time slicing, the target user is determined to be an alternative user of the monitoring user;
generating an accompanying feature matrix corresponding to each candidate user according to the difference value between the balanced positioning information of each candidate user and the monitoring user under each time slicing;
and identifying the accompanying users in the candidate users according to the accompanying feature matrixes.
4. A method according to claim 3, wherein generating an accompanying feature matrix corresponding to each of the candidate users based on a difference value between the balanced positioning information of each of the candidate users and the monitoring user under each time slice comprises:
if detecting that the difference value between the balanced positioning information of one candidate user and the monitoring user is in the preset accompanying range under the current time slicing, setting the accompanying characteristic value of the detected candidate user under the current time slicing to be 1;
If detecting that the difference value between the balanced positioning information of one candidate user and the monitoring user is not in the preset accompanying range under the current time slicing, setting the accompanying characteristic value of the detected candidate user under the current time slicing to be 0;
and sequentially acquiring the accompanying characteristic values of each candidate user under each time slicing, and acquiring accompanying characteristic matrixes respectively corresponding to each candidate user according to the characteristic values.
5. A method according to claim 3, wherein identifying the accompanying user among the candidate users based on each of the accompanying feature matrices comprises:
and acquiring the candidate users with the number of which the corresponding accompanying characteristic values are continuously 1 and larger than a preset number threshold value from the candidate users as accompanying users.
6. The method of claim 1, further comprising, after mapping each of the continuous positioning information of each of the users in a monitored duration into a matched time slice in the monitored duration, respectively, according to the time point information in each of the target signaling ticket data:
acquiring the receiving time of each target signaling call ticket data corresponding to the current processing user, and determining a corresponding data sliding window according to the receiving time and a preset time tolerance range;
Judging whether abnormal time slices with the corresponding time interval smaller than the minimum time boundary of the data sliding window exist or not; if yes, deleting the positioning information in the abnormal time slicing.
7. An identification device for an accompanying user, comprising:
the system comprises a signaling call ticket data acquisition module, a monitoring module and a data processing module, wherein the signaling call ticket data acquisition module is used for acquiring signaling call ticket data corresponding to a plurality of users respectively, and the plurality of users comprise monitoring users;
the balanced positioning information acquisition module is used for acquiring balanced positioning information of each user under each time slice in the monitoring time period according to the positioning information and the time point information included in each signaling ticket data;
the accompanying user acquisition module is used for screening out the accompanying users of the monitoring user from the other users according to the association degree of the monitoring user and the other users for balancing the positioning information under the time slices;
the balanced positioning information acquisition module comprises:
the target signaling call ticket data acquisition unit is used for acquiring each target signaling call ticket data corresponding to the current processing user;
the positioning information mapping unit is used for performing time slicing processing on the monitoring time period according to task requirements so as to obtain a plurality of time slices corresponding to the monitoring time period; ordering the positioning information in each target signaling call ticket data according to the time sequence to acquire the continuous positioning information of each user in the monitoring time period; according to the time point information in each target signaling ticket data, mapping the continuous positioning information of each user in the monitoring time period to the matched time slices in the monitoring time period;
The balanced positioning information calculation unit is used for calculating balanced positioning information of the current processing user under each time slice according to the positioning information included in each time slice;
the accompanying user acquisition module is specifically configured to take balanced positioning information of the monitoring user in each time slice as an accompanying point; determining a rectangular accompanying range according to the accompanying points and a preset accompanying distance threshold; calculating the distance between the user with the balanced positioning information in the accompanying range and the monitoring user; determining the association degree of the monitoring user and the user according to the distance between the monitoring user and the user; and if the association degree between the user and the monitoring user is larger than a preset association degree threshold value in one or more than three time slices, determining the user as an accompanying user of the monitoring user.
8. An electronic device, comprising:
one or more processors;
a memory for storing one or more computer programs;
the identification method of an accompanying user of any of claims 1-6 when the one or more computer programs are executed by the one or more processors, such that the one or more processors execute the computer program.
9. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the accompanying user identification method according to any one of claims 1-6.
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| CN111294742B (en) * | 2020-02-10 | 2020-11-10 | 邑客得（上海）信息技术有限公司 | Method and system for identifying accompanying mobile phone number based on signaling CDR data |
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| CN113706578B (en) * | 2021-08-03 | 2024-07-23 | 杭州数梦工场科技有限公司 | Method and device for determining accompanying relation of moving object based on track |
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