Target personnel management method and system based on multiple dimensions

Abstract

The invention provides a multi-dimension-based target personnel management method and system, which fully utilizes the technologies of data cleaning, big data analysis, artificial intelligence, G-IS map and the like, combines various track data, accompanying data, various feature data and human, event and object data of target personnel, and improves the target personnel management efficiency. The daily travel behavior of a target person can be intuitively and comprehensively mastered by performing G IS system mapping display on a face track, a person-vehicle track and an IMS I track and comprehensively analyzing various data such as frequent access point locations, departure and return time, ticket purchase tracks and accommodation data; by comparing and analyzing the accompanying data of the target person and the data of the related person, the social relationship of the target person can be sufficiently known, and the recent situation of the target person can be known through statistical analysis of the related event and object data, so that whether the target person has bad performance or not can be judged. According to the method, management personnel are helped to realize comprehensive and refined management of target personnel through multiple dimensions.

Description

Technical Field

[0001] The present invention relates to the fields of big data analysis and GIS map technology, and in particular to a multi-dimensional target personnel management method and system. Background Art

[0002] With the rapid development of modern social economy and the Internet, the front-end sensing equipment in cities is constantly improving, and massive data of multiple dimensions are gathered in the systems of relevant departments. These data have huge potential for mining. Traditional relevant departments can only use single-dimensional data in massive data to display the information and daily behavior trajectories of target personnel. There are the following shortcomings: (1) It is impossible to integrate and display all aspects of information data of target personnel, and the role of multi-dimensional data is not fully utilized, resulting in low work efficiency; (2) It is impossible to fully and intuitively display the daily behavior trajectory, accompanying data and key location information of target personnel, which will lead to inadequate and untimely management and increase the risk of recidivism.

[0003] Therefore, it is necessary to explore a new target personnel management method and system based on multi-dimensional data. Summary of the invention

[0004] The purpose of the present invention is to provide a multi-dimensional target personnel management method and system to solve the problem of target personnel recidivating due to inadequate and untimely management. The specific technical solution is as follows:

[0005] A multi-dimensional target personnel management method, the method specifically comprises the following steps:

[0006] S1. Establish a multi-dimensional database based on the characteristics of target personnel;

[0007] S2, inputting the multi-dimensional data of the target person into a multi-dimensional database;

[0008] S3. Analyze and integrate the multi-dimensional data of the target personnel to obtain and display the multi-dimensional information of the target personnel.

[0009] Furthermore, the multi-dimensional database includes a label database, a case database, a target personnel management database, a trajectory database, a related person database, a companion database, a feature database, a matter database, and an object database.

[0010] Furthermore, the trajectory database includes face, person and vehicle, IMSI trajectory database and other trajectory databases. The other trajectory databases include frequently entered and exited point database, departure and return time database, ticket purchase trajectory database and accommodation database.

[0011] Furthermore, the step 2 specifically includes: label data, target personnel management data, feature data, event data, and object data can be manually entered into the corresponding database, and case data and related person data can be batch imported into the corresponding database; trajectory data and accompanying data can be obtained through external devices or through other platforms.

[0012] Furthermore, the step S3 further includes: associating the target personnel management data with the tag data, the case data and the feature data to form basic management information of the target personnel, and displaying it through a flat list;

[0013] Furthermore, the step S3 specifically includes: displaying the face, person-vehicle, and IMSI trajectory data in the face, person-vehicle, and IMSI trajectory database through a GIS map, performing multilateral processing to obtain overlapping trajectory positioning data, performing overlapping trajectory graphics processing on the overlapping trajectory positioning data, obtaining the location information of key travel locations of the target person on a daily basis, and displaying it through a GIS map, and displaying the data in the other trajectory databases in the form of points through a GIS map.

[0014] Furthermore, the step S3 also includes: the accompanying data is displayed through a GIS map, and the personal identity information of the accompanying persons is displayed in a list form.

[0015] Furthermore, the step S3 also includes: the feature data is displayed on a GIS map in the order of longitude and latitude and time.

[0016] Furthermore, the step S3 also includes: the related person data is displayed in the form of a relationship map and a list, the event data is displayed in the form of a timeline, and the object data is displayed in the form of a list.

[0017] The present invention also provides a multi-dimensional target personnel management system, the system comprising a memory and a processor, the memory storing a program, the processor being configured to implement the steps in the multi-dimensional target personnel management method as described above when executing the program.

[0018] The present invention provides a multi-dimensional target personnel management method and system, which has the following beneficial effects:

[0019] The method and system provided by the present invention can effectively discover potential groups or specific target groups through analysis of accompanying personnel and dissuade or discipline them in a timely manner. It can provide effective assistance and reference to relevant departments in terms of target personnel management and prevention, and provide a more comprehensive and convenient way for relevant departments to manage target personnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1It is a flow chart of a multi-dimensional target personnel management method provided by the present invention. DETAILED DESCRIPTION

[0021] The following will be combined with the accompanying drawings provided by the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. According to the following description, the advantages and features of the present invention will be more clear. It should be noted that the accompanying drawings are all in a very simplified form and are not in precise proportions, which are only used to conveniently and clearly assist in explaining the purpose of the embodiments of the present invention.

[0022] In the description of the present invention, unless otherwise clearly stipulated and limited, the terms "connection" and "connected" should be interpreted in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0023] In the description of the present invention, terms such as "up", "down", "left", "right", "front", "back", "center", "horizontal", "vertical", "top", "bottom", "inside" and "outside" and other orientations or positional relationships are based on the orientations or positional relationships shown in the accompanying drawings and are only for the convenience of description and simplification of operation, rather than indicating or implying that the referred device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present invention.

[0024] It should be noted that the steps of obtaining various data and information in the present invention are all carried out in compliance with national laws and regulations, and all kinds of data and information are obtained in accordance with the law. At the same time, the processing of various types of data and information in the present invention has clearly obtained the consent of all givers, that is, the data and information processing steps involved in the present invention are all legal and compliant data processing.

[0025] Example 1: See Figure 1 As shown, this embodiment provides a multi-dimensional target personnel management method, which specifically includes the following steps:

[0026] S1. Establish a multi-dimensional database based on the characteristics of target personnel;

[0027] Specifically, a multi-dimensional database is established according to the characteristics of the target personnel. The multi-dimensional database includes a tag management database, a case database, a target personnel management database, a trajectory database, a relational person database, a companion data database, a feature database, a matter database, and an object database, and fields for different data in each database are set;

[0028] Among them, the fields in the tag database can be set to tag name, tag type, etc.;

[0029] The fields in the case database can be set to case number, case name, case category, case nature, case status, case discovery time, case start time, case end time, case location, longitude and latitude, names of relevant personnel, etc.;

[0030] The fields in the target personnel management database can be set to name, ID number, date of birth, age, whether belonging to a specific target group, nationality, ethnicity, household registration address, permanent address, headshot, ID photo, case involved, etc.

[0031] The trajectory database includes face, person-vehicle, IMSI trajectory database and other trajectory databases. The fields in the face, person-vehicle and IMSI trajectory databases can be set to type (i.e., three types: face, person-vehicle and IMSI), device number, device name, address, longitude and latitude, and capture time; other trajectory databases include frequent entry and exit point database, departure and return time database, ticket purchase trajectory database, accommodation database, etc. The fields in the frequent entry and exit point database can be set to target personnel, location name, location longitude and latitude, venue name, venue address, etc. The fields in the departure and return time database can be set to target personnel, area name, area number, departure time, return time, etc. The fields in the ticket purchase trajectory database can be set to target personnel, ticket type, address, time, etc. The fields in the accommodation database can be set to target personnel, accommodation type, accommodation address, hotel name, hotel booking channel, hotel online booking number, booking time, check-in time, check-out time, etc.

[0032] The fields in the relational person database can be set to name, ID number, related target person, relation category, relation type, phone number, household registration address, relation description, etc. to import relational person data;

[0033] The accompanying data in the accompanying database includes face accompanying data and person-vehicle accompanying data. The fields of face accompanying data can be set to face captured image, face captured location, face captured longitude and latitude, time, etc. The fields of person-vehicle accompanying data can be set to person-vehicle image captured by the checkpoint, license plate number, location, longitude and latitude, time, etc.

[0034] The fields in the feature database can be set to feature type, feature value, feature data, ID number, address, longitude and latitude, time, etc., where the feature types include facial features, body features, and gait features. The feature values ​​corresponding to facial features include whether to wear a hat, glasses, or a mask, etc. The feature values ​​corresponding to body features include whether the body is physically disabled, clothing type, pants type, clothing and pants color, etc. The feature values ​​corresponding to gait features include stride size, step frequency, and walking speed, etc.;

[0035] The field names in the event database can be set to time name, time address, event description, disposal work, added person, added time, etc.

[0036] The data in the physical database includes real estate data, vehicle data, phone card data, and virtual identity data. The fields of real estate data can be set to target person, house address, property number, added person, and added time. The fields of vehicle data can be set to target person, vehicle license plate, brand, color, added person, and added time. The fields of phone card data can be set to target person, mobile phone number, mobile phone IMSI number, added person, and added time. The fields of virtual identity data can be set to target person, type (QQ, WeChat, Douyin, etc.), account, nickname, added person, and added time.

[0037] S2. The multi-dimensional data of the target person is input into the multi-dimensional database;

[0038] Specifically, enter label data, import case data, and enter target personnel management data. When entering target personnel management data, you can select multiple label data and select the cases involved in the target personnel.

[0039] Access the target person's trajectory data, access the captured face and vehicle trajectory data from video equipment and video card devices, access the IMSI trajectory data from the electronic fence, obtain the target person's frequent entry and exit point data, departure and return time data through analysis and processing of face, vehicle and IMSI trajectory data, query the target person's ticket purchase data from the internal ticketing platform of the relevant department, and query the target person's accommodation information data through the internal hotel management platform of the relevant department;

[0040] Import the target person’s related person data, including their family, relatives, friends, etc.;

[0041] Access the accompanying data of the target person, and input the facial capture data and the person and vehicle capture data into the database from the facial checkpoint and vehicle checkpoint.

[0042] Import the target person’s characteristic data, including facial features, body features, and gait feature data;

[0043] Enter the target person's event data, which refers to related major events, including case information, information on good deeds and other major personal events. Enter the target person's property data, including the target person's real estate, car, phone card, and virtual identity.

[0044] S3. Analyze and integrate the multi-dimensional data of the target personnel to obtain and display the multi-dimensional information of the target personnel.

[0045] Specifically, after the target person management data is associated with the label data and case data, it is convenient to manage and query the target person's basic information, and the target person's feature data is associated with the ID card information, so that the feature information can be quickly queried through the ID card information;

[0046] Based on the GIS map, the corresponding face, vehicle and IMSI trajectory data are displayed. First, for the accessed face, vehicle and IMSI trajectory data, according to the AI ​​similarity matching of the target person's face, the face and vehicle trajectory data with the same similarity are screened and displayed on the GIS map. The IMSI data is screened and displayed on the map through the IMSI number of the phone card bound to the target person. At the same time, the face, vehicle and IMSI trajectory data are multilaterally processed. Based on the MapReduce algorithm and the current business scenario, the face, vehicle and IMSI trajectory data are processed from the spatial dimension and the temporal dimension. First, the three types of trajectory positioning data are placed separately In different Map sets, face is recorded as A-Map, person and vehicle is recorded as B-Map, and IMSI is recorded as C-Map. The three types of trajectory positioning data are processed in segments, and face data is obtained every 5 minutes. Based on the acquisition time of this face trajectory data, the other two trajectory data within ±1 minute of this time are obtained to reduce the number of analyses and speed up the analysis rate. The distances from the acquired person and vehicle, IMSI trajectory points to the face trajectory points are calculated and compared to see if they exceed the threshold. If they are within the threshold, it means that they meet the overlapping trajectory, and the data value is retained in the Map. Otherwise, it is discarded. The data in the three Maps are reduced and merged to obtain the overlapping trajectory positioning data.

[0047] Perform overlapping trajectory graphics processing on the obtained overlapping trajectory positioning data, take the first overlapping trajectory positioning data as the center point, take a data every 2 minutes based on the time of the first overlapping trajectory positioning data, calculate the distance from the taken data to the center point, and compare whether the distance exceeds the threshold. If it does not exceed the threshold, it means staying. If more than 5 points are taken continuously within the threshold, it means that the stay time is greater than 10 minutes. The locations along the overlapping trajectory line where the stay time is greater than 10 minutes are first screened out, and the places near these locations such as Internet cafes, bars, hotels, etc. are displayed on the map. Continue to traverse the data. When the distance to the center point exceeds the threshold, the center point is offset. Continue the above processing logic until the end.

[0048] Based on GIS map, other trajectory data is displayed in the form of points. Different trajectory data are displayed with different icons. Combined with list display, various behavior information can be viewed intuitively. Through comprehensive analysis of other trajectory data and face, person, vehicle, and IMSI trajectories, the daily travel behavior of the target person can be well understood, and the places he may go on a daily basis can be analyzed. The location information of the places he may go can be entered into the database, so that the management personnel can quickly locate the target person when necessary.

[0049] By using relationship maps and lists to display the target person's related person data, you can intuitively view the target person's social relationship composition.

[0050] Based on the GIS map and the list display of its accompanying data, the accompanying database is used as the benchmark library. According to the target person's facial similarity and the vehicle information (license plate number) associated with the target person, the target person's facial accompanying data and person-vehicle accompanying data are screened out and displayed on the GIS map. At the same time, the personal identification information of the captured companions is displayed in combination with the list, and the portraits of the captured companions are recognized by AI. On the basis of further grasping the travel trajectory of the target person, the identified companions can be analyzed. Multiple captures of the target person entering and leaving key places are made. Combined with the nature of the case involving the target person, such companions are paid special attention to. If the companions belong to a specific target group, they can be dissuaded or disciplined in time.

[0051] The characteristic data of the target person is queried through the identification card number of the target person, and then the facial features, body features, and gait feature data are displayed based on the latitude and longitude of each characteristic data and the chronological order based on the GIS map. The facial features, body features, and gait feature data are comprehensively analyzed, and these three types of data are compared horizontally in time and space to deepen the understanding of their whereabouts.

[0052] By displaying data information in the form of a timeline, we can have a more accurate understanding of the target person's re-adaptation to society based on his or her performance after entering the society.

[0053] By displaying data information in a list, managers can more intuitively grasp the personal information of target personnel.

[0054] Embodiment 2: A target personnel management system based on multi-dimensionality, the system includes a memory and a processor, the memory stores a program, and the processor can run the program on the memory to implement the steps of a target personnel management method based on multi-dimensionality in Embodiment 1.

[0055] Those skilled in the art should understand that the present invention can be implemented in many other specific forms without departing from the spirit and scope of the present invention. Based on the embodiments of the present invention, any changes and modifications made by ordinary technicians in the field of the present invention according to the above disclosure are within the scope of protection of the claims.

Claims

1. A multi-dimensional target personnel management method, characterized by: The method specifically comprises the following steps: S1. Establish a multi-dimensional database based on the characteristics of target personnel; S2, inputting the multi-dimensional data of the target person into a multi-dimensional database; S3. Analyze and integrate the multi-dimensional data of the target personnel to obtain and display the multi-dimensional information of the target personnel.

2. The multi-dimensional target personnel management method according to claim 1 is characterized by: The multi-dimensional database includes a label database, a case database, a target personnel management database, a trajectory database, a related person database, a companion database, a feature database, a matter database, and an object database.

3. The multi-dimensional target personnel management method according to claim 2 is characterized by: The trajectory database includes face, person and vehicle, IMSI trajectory database and other trajectory databases. The other trajectory database includes a frequently entered and exited point database, a departure and return time database, a ticket purchase trajectory database and an accommodation database.

4. The multi-dimensional target personnel management method according to claim 3 is characterized in that: The step 2 specifically includes: label data, target personnel management data, feature data, event data, and object data can be manually entered into the corresponding database, and case data and related person data can be batch imported into the corresponding database; trajectory data and accompanying data can be obtained through external devices or other platforms.

5. The multi-dimensional target personnel management method according to claim 4 is characterized in that: The step S3 also includes: associating the target personnel management data with the label data, the case data and the feature data to form basic management information of the target personnel, which is displayed through a flat list.

6. The multi-dimensional target personnel management method according to claim 3 is characterized in that: The step S3 specifically includes: displaying the face, person-vehicle, and IMSI trajectory data in the face, person-vehicle, and IMSI trajectory database through a GIS map, performing multilateral processing to obtain overlapping trajectory positioning data, performing overlapping trajectory graphics processing on the overlapping trajectory positioning data, obtaining the location information of key travel locations of the target person on a daily basis, and displaying it through a GIS map; the data in the other trajectory databases are displayed in the form of points through a GIS map.

7. The multi-dimensional target personnel management method according to claim 4 is characterized in that: The step S3 also includes: the accompanying data is displayed through a GIS map, and the personal identity information of the accompanying persons is displayed in a list form.

8. The multi-dimensional target personnel management method according to claim 4 is characterized in that: The step S3 also includes: the feature data is displayed on a GIS map in order of latitude and longitude and time.

9. The multi-dimensional target personnel management method according to claim 4 is characterized in that: The step S3 also includes: the related person data is displayed in the form of a relationship map and a list, the event data is displayed in the form of a timeline, and the object data is displayed in the form of a list.

10. A multi-dimensional target personnel management system, characterized by: The system comprises a memory and a processor, wherein a program is stored in the memory, and the processor is configured to implement the steps in the method according to any one of claims 1 to 9 when executing the program.

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