WO2022127553A1 - Popular route analysis method and apparatus, electronic device, and storage medium - Google Patents

Abstract

A popular route analysis method and apparatus, an electronic device, and a storage medium. Said method comprises: acquiring captured trajectory information of a target person in a first preset time period, the target person being a floating person (101); acquiring public transportation unit trajectory information corresponding to a public transportation unit code in the first preset time period, the public transportation unit trajectory information comprising a station code and the time of arriving at a station (102); determining, on the basis of the captured trajectory information and the public transportation unit trajectory information, a route code of the target person in the first preset time period, each route code corresponding to one route (103); and determining, according to the route code of the target person in the first preset time period, a popular route of the target person in a second preset time period, the second preset time period comprising a plurality of first preset time periods (104). The method can reduce the difficulty of information acquisition of floating persons.

Description

Hot spot route analysis method, device, electronic device and storage medium

This application claims the priority of the Chinese patent application filed on December 16, 2020 with the application number 202011489564.8 and the invention titled "Hot Route Analysis Method, Device, Electronic Device and Storage Medium", the entire contents of which are by reference Incorporated in this application.

technical field

The invention relates to the field of archive data processing, and in particular to a method, device, electronic device and storage medium for analyzing a hotspot route.

Background technique

With the development of urbanization, more and more people flow into cities, which makes the urban population structure change. The urban population structure can be roughly divided into resident population and floating population. With the continuous development of the city, the scale of the floating population continues to expand. Due to the uncertainty of the floating population on the spatial scale and time scale, such as the uncertainty of the travel route and the uncertainty of the travel time of the floating population, under such uncertainty, the flow of The expansion of population has brought great difficulties to urban management, especially grassroots management is becoming more and more difficult. The traditional method is to register the floating population through the grass-roots police, and conduct regular visits to understand the situation of the floating population, so as to manage it. However, with the expansion of the floating population, the grass-roots police have heavy work tasks and shortage of police resources. The mode of interview and inquiry is very inefficient, and the information obtained by the interview and inquiry is subjectively disclosed information, and there may be inaccurate information, resulting in unclear numbers of floating population in some jurisdictions and unknown conditions. Therefore, in the existing management of mobile personnel, there is a problem that it is difficult to obtain information on mobile personnel.

SUMMARY OF THE INVENTION

The embodiment of the present invention provides a hotspot route analysis method, which can analyze the hotspot route of the mobile personnel through the traffic trajectory of the mobile personnel, so as to reduce the difficulty of obtaining information of the mobile personnel.

In a first aspect, an embodiment of the present invention provides a method for analyzing a hotspot route, the method comprising:

Obtain the snapshot track information of the target person in the first preset time period, where the target person is a mobile person, the snapshot track information includes the personnel snapshot data of the target person, and the personnel snapshot data of the target person includes the target The capture time of the person and the code of the public transport unit;

Acquiring the public transportation unit trajectory information corresponding to the public transportation unit code in the first preset time period, where the public transportation unit trajectory information includes the station code and the arrival time at the station;

Determine, based on the captured track information and the track information of the public transport unit, a route code of the target person in the first preset time period, and each of the route codes corresponds to a route;

According to the route code of the target person in the first preset time period, the hotspot route of the target person in the second preset time period is determined, and the second preset time period includes a plurality of first preset time periods.

Optionally, the acquiring the captured track information of the target person in the first preset time period includes:

Obtaining personnel snapshot data collected by a snapshot device on a public transportation unit, where the personnel snapshot data includes the person's face image, the snapshot time, the capture device code, and the public transportation unit code;

Comparing the feature values of the face image in the personnel identity information database to obtain the identity information of the captured personnel;

According to the identity information, the personnel snapshot data is archived to obtain the snapshot personnel file, and stored in the file information database;

Based on the file information database, determine a target person file, where the target person file includes the person snapshot data of the target person;

According to the target person file, the snapshot track information of the target person within the first preset time period is acquired.

Optionally, the method further includes:

Obtain the face image of the person to be analyzed;

Carrying out feature value comparison of the face image of the person to be analyzed in the personnel identity information database, and judging whether the face image of the person to be analyzed is the face image of a mobile person;

If the face image of the person to be analyzed is the face image of the mobile person, the person to be analyzed is determined to be the target person.

Optionally, the determining the route code of the target person in the first preset time period based on the captured track information and the track information of the public transport unit includes:

Performing intersection calculation on the captured trajectory information and the public transportation unit trajectory information, to obtain the travel trajectory of the target person in the first preset time period, where the travel trajectory includes the personnel snapshot data of the target person;

The travel trajectory is verified according to a preset verification rule, and the verified travel trajectory is determined as the route code of the target person in the first preset time period.

Optionally, the verification rule is that the itinerary track includes a plurality of snapshot data of the person, and the verification of the itinerary track according to a preset verification rule includes:

Judging whether the travel track includes a plurality of personnel snapshot data of the target personnel;

If the travel track includes multiple personnel snapshot data of the target person, it is determined that the travel track has passed the verification;

If the travel track includes only one person snapshot data of the target person, it is determined that the travel track has not passed the verification.

Optionally, determining the verified travel track as the route code of the target person in the first preset time period, including:

Extract the earliest snapshot time and latest snapshot time in the verified travel track;

Determine the first arrival site time according to the earliest snapshot time, and determine the corresponding first site code according to the first arrival site time;

Determine the second arrival site time according to the latest snapshot time, and determine the corresponding second site code according to the second arrival site time;

According to the first station code and the second station code, the route code of the target person in the first preset time period is determined.

Optionally, determining the hotspot route of the target person in the second preset time period according to the route code of the target person in the first preset time period includes:

Using the second preset time period as a statistical interval, perform quantitative statistics on the route codes of the first preset time period;

Sort all the route codes according to the number, and take the N routes corresponding to the first N route codes as the hot routes of the target person in the second preset time period.

In a second aspect, an embodiment of the present invention further provides a hotspot route analysis device, the device comprising:

The first acquisition module is configured to acquire the snapshot track information of the target person in the first preset time period, where the target person is a mobile person, and the snapshot track information includes the person snapshot data of the target person, and the target person's snapshot data. The personnel snapshot data includes the snapshot time of the target person and the code of the public transportation unit;

a second acquisition module, configured to acquire the public transport unit trajectory information corresponding to the public transport unit code in the first preset time period, where the public transport unit trajectory information includes the station code and the arrival time at the station;

The first determination module is used to determine the route code of the target person in the first preset time period based on the captured track information and the public transport unit track information, and each of the route codes corresponds to a route;

The second determination module is configured to determine the hotspot route of the target person in the second preset time period according to the route code of the target person in the first preset time period, and the second preset time period includes a plurality of the first preset time period.

In a third aspect, an embodiment of the present invention provides an electronic device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, when the processor executes the computer program The steps in the hotspot route analysis method provided by the embodiment of the present invention are implemented.

In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, implements the hotspot route analysis method provided by the embodiment of the present invention. A step of.

In the embodiment of the present invention, the snapshot trajectory information of the target person in the first preset time period is acquired, the target person is a mobile person, and the snapshot trajectory information includes the personnel snapshot data of the target person, the personnel of the target person The snapshot data includes the snapshot time of the target person and the public transportation unit code; obtain the public transportation unit trajectory information corresponding to the public transportation unit code in the first preset time period, and the public transportation unit trajectory information includes the station. code and arrival time at the station; based on the captured track information and the track information of the public transport unit, determine the route code of the target person in the first preset time period, and each route code corresponds to a route; according to The route code of the target person in the first preset time period determines the hotspot route of the target person in the second preset time period, and the second preset time period includes a plurality of first preset time periods. The present invention can acquire the traffic track of the migrants through the snapshot data of the migrants, and then analyze the hotspot routes of the migrants through the traffic tracks of the migrants, thereby reducing the difficulty of obtaining the information of the migrants.

Description of drawings

1 is a flowchart of a method for analyzing a hotspot route provided by an embodiment of the present invention;

2 is a flowchart of a method for acquiring snapshot track information provided by an embodiment of the present invention;

3 is a schematic structural diagram of a hot spot route analysis device provided by an embodiment of the present invention;

4 is a schematic structural diagram of a first acquisition module provided by an embodiment of the present invention;

5 is a schematic structural diagram of another hotspot route analysis device provided by an embodiment of the present invention;

6 is a schematic structural diagram of a first determination module provided by an embodiment of the present invention;

7 is a schematic structural diagram of a syndrome submodule provided by an embodiment of the present invention;

8 is a schematic structural diagram of another syndrome submodule provided by an embodiment of the present invention;

9 is a schematic structural diagram of a second determination module provided by an embodiment of the present invention;

FIG. 10 is a schematic structural diagram of an electronic device provided by an embodiment of the present invention.

Detailed ways

Please refer to FIG. 1. FIG. 1 is a flowchart of a method for analyzing a hotspot route provided by an embodiment of the present invention. As shown in FIG. 1, the method includes the following steps:

101. Acquire snapshot track information of a target person in a first preset time period.

In the embodiment of the present invention, the target person is a mobile person, the snapshot track information includes the person snapshot data of the target person, and the person snapshot data of the target person includes the capture time of the target person and the public transportation unit code.

The above-mentioned mobile personnel can be compared according to the facial image of the target person by comparing the feature values in the personnel identity information database, and judged according to the comparison result.

The above-mentioned personnel identity information database stores the personnel identity information of the resident personnel and floating personnel in the city. Further, after feature comparison, if a person is neither a resident person nor a mobile person, it can be judged as a mobile person. The above-mentioned personal identity information may be structured or semi-structured information, and the above-mentioned structured or semi-structured personal identity information includes information such as face image, name, household registration, address, ID card number, and the like.

The above-mentioned first preset time period may be set by the user, for example, a time period such as 1 hour, 12 hours, 1 day, 15 days, and 1 month.

The person snapshot data of the above-mentioned target person may be image data collected by a snapshot device set on a public transportation unit, and the person snapshot data of the target person may include the target person's face image, snapshot time, snapshot device code and public information. Traffic unit code. In the embodiment of the present invention, the snapshot track information of the target person can be represented by the snapshot time of the target person and the code of the public transportation unit.

The above-mentioned capture device code may be an international code of the capture device, and the above-mentioned capture device may be set on a public transportation unit and bound with the public transportation unit. It can be understood that the code of the capture device and the code of the public transportation unit are bound together.

The above-mentioned public transportation unit code can be understood as the identification of a public transportation vehicle. In the embodiment of the present invention, each public transportation vehicle has a unique identification, and the unique identification can be a license plate number or an internal number of a public transportation system. The above-mentioned public transport units may be urban public transport vehicles for public travel, such as buses, subways, light rails, taxis, and the like. The above-mentioned capture devices are installed at the upper and lower doors of public transportation units. For public transportation units with multiple upper and lower doors, a capture device can be installed at each upper and lower door. Further, multiple capture devices can be jointly bound to a public transportation unit. .

It should be noted that the floating population has uncertainty in the spatial and temporal dimensions. Therefore, most of the means of travel are urban public transport. Therefore, the hotspot activity routes of the floating population can be carried out using the traffic routes of the floating population. express.

Optionally, please refer to FIG. 2. FIG. 2 is a flowchart of a method for acquiring snapshot track information provided by an embodiment of the present invention. As shown in FIG. 2, the method includes the following steps:

201. Acquire personnel snapshot data collected by a snapshot device on a public transport unit.

In the embodiment of the present invention, the above-mentioned person snapshot data includes the person's face image, the snapshot time, the snapshot device code, and the public transportation unit code.

The above-mentioned face image of the capturing person may be obtained by performing face detection on the image collected by the capturing device through a face detection engine, and is a small image including the face of the capturing person.

202. Compare the feature values of the face image in the personnel identity information database to obtain the identity information of the person who captured the photograph.

In this embodiment of the present invention, a feature extraction engine can be used to extract features from a face image to obtain a feature value of the person's face. The image feature values are compared for feature values. The above feature value comparison can be used to calculate the similarity between the feature values of two face images. The higher the similarity, the closer it is. When the similarity reaches the threshold, it can be Confirm the corresponding identity information as the identity information of the capturing person.

203. According to the identity information of the person who took the picture, archive the person's snapshot data of the person who took the picture, obtain the file of the person who took the picture, and store it in the file information database.

In the embodiment of the present invention, for the same person, all the person's snapshot data are clustered and archived to obtain the person's file. The above-mentioned file information database stores the snapshot personnel files corresponding to all the snapshot personnel. Since the person snapping data includes human faces, you can enter the face image in the snapping person file library to find the corresponding snapping person file.

In a possible embodiment, the snapshot personnel files of the resident personnel and the mobile personnel can be stored separately to obtain the resident personnel archives and the mobile personnel archives. In this way, when the mobile personnel files need to be obtained, the mobile personnel can be directly In this way, the search scope can be reduced and the search speed can be improved.

204. Determine the target personnel file based on the file information database.

In the embodiment of the present invention, the face image of the person to be analyzed can be searched in the file information database, and the feature value comparison between the face image of the person to be analyzed and the face image in the snapshot file can be used to determine the Target personnel files, the above target personnel files include personnel snapshot data of the target personnel.

Optionally, in this embodiment of the present invention, the face image of the person to be analyzed may be obtained first; the feature value comparison of the face image of the person to be analyzed in the personnel identity information database is performed to determine the face image of the person to be analyzed. Whether it is the face image of the mobile person; if the face image of the person to be analyzed is the face image of the mobile person, it is determined that the person to be analyzed is the target person; at this time, the target person file can be searched in the mobile personnel file library.

205. Acquire snapshot track information of the target person within the first preset time period according to the target person file.

In the embodiment of the present invention, the target personnel file includes the personnel snapshot data of the target person, and the personnel snapshot data of the target person includes the target person's face image, the capture time, the capture device code, and the public transportation unit code, and the capture time can be extracted. And the code of the public transport unit as the captured track information of the target person. An embodiment of the present invention provides a data structure for capturing track information, including capturing time, capturing device code, and public transportation unit encoding. Specifically, the data structure of capturing track information may be as shown in Table 1:

Table 1

The captured track information of the target person that matches the first preset time period may be filtered out in the target file. For example, to filter out the captured track information of the target person on a certain day. Of course, when inputting the face image of the person to be analyzed, the first preset time period can also be input as the search condition. In this way, the files without the captured personnel data within the first preset time period can be filtered out, and further Narrow your search.

102. Acquire the track information of the public transportation unit corresponding to the code of the public transportation unit in the first preset time period.

In the embodiment of the present invention, the track information of the public transportation unit includes the station code and the arrival time at the station. The above-mentioned trajectory information of public transport units may be the operation data of public transport units in the public transport service information database, that is, at what time and which station a public transport unit arrives at. Information compiled into the nearest site. The above-mentioned public transportation unit trajectory information can be understood as the travel route of the public transportation. The above site code identifies a site, and a site code corresponds to a site, and the site can be understood as a stop site of a public transport unit.

Specifically, the corresponding public transportation unit trajectory information can be obtained in the public transportation service information database according to the public transportation unit code that appears in the captured trajectory information of the target person.

The embodiment of the present invention provides a public transportation unit trajectory information data structure, including the public transportation unit code, the arrival time and the station code. Specifically, the data structure of the public transportation unit trajectory information can be as shown in Table 2:

serial number	Urban public transport unit code	arrival time	site code
1	GJ1GJ1214419004J06M4	2020/10/01 09:00:01	ST123416
2	GJ1GJ1214419004J06M4	2020/10/01 09:04:31	ST674436
3	GJ1GJ1214419004J06M4	2020/10/01 09:09:12	ST674237
4	GJ1GJ1214419004J06M4	2020/10/01 09:14:17	ST234234
5	GJ1GJ1214419004J06M4	2020/10/01 09:21:01	ST232334
6	GJ1GJ1214419004J06M4	2020/10/01 09:27:09	ST239934

Table 2

103. Based on the captured trajectory information and the public transportation unit trajectory information, determine the route code of the target person in the first preset time period.

In the embodiment of the present invention, each route code corresponds to a route, and the above-mentioned route may be a section of a journey on the driving route of a public transportation unit. For example, the driving route of a public transportation unit is site A, site B, site C, and site D in sequence. , station E, station F, station G, the route corresponding to the route code can be the route from station A to station B, or the route from station A to station C, further, the route from station A to station B The corresponding route code is different from the route code corresponding to the route from station A to station C.

Optionally, the intersection calculation of the captured trajectory information and the public transportation unit trajectory information may be performed to obtain the travel trajectory of the target person in the first preset time period. The travel trajectory is verified according to a preset verification rule, and the verified travel trajectory is determined as the route code of the target person in the first preset time period. The above-mentioned travel trajectory includes the personnel snapshot data of the target person.

Taking Table 1 and Table 2 as an example, from the public transportation unit code GJ1GJ1214419004J06M4 in Table 1, the trajectory information of the public transportation unit code GJ1GJ1214419004J06M4 is found in the public transportation service information database, as shown in Table 2, and the intersection operation is performed on Table 2 and Table 1. , the travel trajectory can be obtained as (2020/10/01-09:00:01, ST123416), (2020/10/01-09:09:12, ST674237), (2020/10/01-09:14:17 , ST234234), in the above travel trajectory, the personnel snapshot data of the target person is the snapshot time.

Optionally, the above verification rule is that the itinerary track includes multiple personnel snapshot data. Specifically, it can be determined whether the above-mentioned itinerary track includes the personnel snapshot data of multiple target persons; if the aforesaid itinerary track includes multiple target persons. If the above-mentioned travel trajectory only includes the personnel snapshot data of one target person, it is judged that the travel trajectory has not passed the verification.

Specifically, if the above-mentioned itinerary track includes personnel snapshot data of a plurality of target persons, it can be indicated that the target persons have been captured and photographed multiple times on the public transport unit. Further, the earliest snapshot time and latest snapshot time in the verified travel track can be extracted, and the first arrival site time can be determined according to the earliest snapshot time, thereby determining the corresponding first site code according to the first arrival site time, and according to the latest arrival time. The late snapshot time determines the time of the second arrival site, so that the corresponding second site code is determined according to the second arrival time, and the route code of the target person in the first preset time period is determined according to the first site code and the second site code. For example, the above travel trajectory is (2020/10/01-09:00:01, ST123416), (2020/10/01-09:09:12, ST674237), (2020/10/01-09:14:17 , ST234234), there are three personnel snapshot data (snapshot time) of the target person, it can be considered that the travel trajectory has passed the verification, the earliest snapshot time is 2020/10/01-09:00:01, and the corresponding first site code is ST123416 , the latest snapshot time is 2020/10/01-09:14:17, the corresponding second site code is ST234234, and according to the first site code ST123416 and the second site code ST234234, it is determined that the target person is at the first preset time The route code of the segment is C=f (ST234234, ST234234), where f is the mapping function from the station code to the route code. In addition, if the above itinerary track only includes the personnel snapshot data of one target person, it means that the target person in the itinerary track may be captured only once, which is inaccurate and cannot be used, and the travel track can be discarded.

104. Determine a hotspot route of the target person in the second preset time period according to the route code of the target person in the first preset time period.

In this embodiment of the present invention, the second preset time period includes a plurality of first preset time periods, and the second preset time period may be a time interval such as a month, a quarter, or a year. For example, if the first preset time period is days and the second preset time period is May, the second preset time period includes 31 first preset time periods.

Optionally, in this embodiment of the present invention, the second preset time period may be a statistical interval, and the number of route codes in the first preset time period may be counted; The N routes corresponding to the route codes are the hot routes of the target person in the second preset time period. The above sorting of all route codes can be shown in Table 3:

serial number	route code	Urban public transport unit code	The number of occurrences
1	R9128374	GJ1GJ1214419004J06M4	25
2	R9328334	GJ2GJ212441900K87DCJ	8
3	R9300371	GJ2GJ212441900783KS3	3

table 3

In Table 3, the number of occurrences is the number of the corresponding route codes in the second preset time period, and the descending order is performed according to the number of occurrences. Hot routes.

In the embodiment of the present invention, the snapshot trajectory information of the target person in the first preset time period is obtained, the target person is a mobile person, the snapshot trajectory information includes the personnel snapshot data of the target person, the target person's The personnel snapshot data includes the snapshot time of the target person and the public transportation unit code; obtain the public transportation unit trajectory information corresponding to the public transportation unit code in the first preset time period, and the public transportation unit trajectory information includes site code and arrival time; based on the captured track information and the track information of the public transport unit, determine the route code of the target person in the first preset time period, and each route code corresponds to a route; According to the route code of the target person in the first preset time period, the hotspot route of the target person in the second preset time period is determined, and the second preset time period includes a plurality of first preset time periods. The present invention can acquire the traffic track of the migrants through the snapshot data of the migrants, and then analyze the hotspot routes of the migrants through the traffic tracks of the migrants, thereby reducing the difficulty of obtaining the information of the migrants.

It should be noted that the hotspot route analysis method provided by the embodiment of the present invention can be applied to devices such as mobile phones, monitors, computers, and servers that can perform hotspot route analysis.

Please refer to FIG. 3. FIG. 3 is a schematic structural diagram of a hotspot route analysis device provided by an embodiment of the present invention. As shown in FIG. 3, the device includes:

The first acquisition module 301 is configured to acquire snapshot track information of a target person in a first preset time period, where the target person is a mobile person, and the snapshot track information includes the person snapshot data of the target person. The personnel snapshot data includes the snapshot time of the target person and the code of the public transportation unit;

The second obtaining module 302 is configured to obtain the public transportation unit trajectory information corresponding to the public transportation unit code in the first preset time period, where the public transportation unit trajectory information includes the station code and the arrival time at the station;

The first determination module 303 is configured to determine, based on the captured track information and the track information of the public transport unit, the route code of the target person in the first preset time period, and each route code corresponds to a route ;

The second determination module 304 is configured to determine the hotspot route of the target person in the second preset time period according to the route code of the target person in the first preset time period, and the second preset time period includes multiple a first preset time period.

Optionally, as shown in FIG. 4 , the first obtaining module 301 includes:

The first acquisition sub-module 3011 is used to acquire the personnel capture data collected by the capture device on the public transport unit, the personnel capture data including the person's face image, the capture time, the capture device code and the public transport unit code;

The first comparison sub-module 3012 is used to compare the feature values of the face image in the personnel identity information database to obtain the identity information of the captured personnel;

The filing submodule 3013 is used to archive the personnel snapshot data according to the identity information, obtain the personnel files for snapshots, and store them in the archives information base;

A determination sub-module 3014, configured to determine a target personnel file based on the file information database, where the target personnel file includes the personnel snapshot data of the target person;

The second acquisition sub-module 3015 is configured to acquire the snapshot track information of the target person within the first preset time period according to the target person file.

Optionally, as shown in Figure 5, the device further includes:

The third acquisition module 305 is used to acquire the face image of the person to be analyzed;

The judgment module 306 is used to compare the feature value of the face image of the person to be analyzed in the personnel identity information database, and judge whether the face image of the person to be analyzed is the face image of a mobile person;

The third determination module 307 is configured to determine that the person to be analyzed is a target person if the face image of the person to be analyzed is a face image of a mobile person.

Optionally, as shown in FIG. 6 , the first determining module 303 includes:

The calculation sub-module 3031 is used to calculate the intersection of the captured track information and the track information of the public transportation unit to obtain the travel track of the target person in the first preset time period, and the travel track includes the target person personnel capture data;

The verification sub-module 3032 is configured to verify the travel trajectory according to a preset verification rule, and determine the verified travel trajectory as the route code of the target person in the first preset time period.

Optionally, as shown in FIG. 7 , the verification rule is that the travel track includes a plurality of snapshot data of the person, and the verification sub-module 3032 includes:

The judgment unit 30321 is used for judging whether the travel track includes a plurality of personnel snapshot data of the target personnel;

The first determining unit 30322 is configured to determine that the travel track has passed the verification if the travel track includes multiple personnel snapshot data of the target person;

The second judging unit 30323 is configured to judge that the travel track has not passed the verification if the travel track includes only the person snapshot data of the target person.

Optionally, as shown in FIG. 8 , the syndrome sub-module 3032 further includes:

The extraction unit 30324 is used to extract the earliest and latest snapshot time in the travel trajectory that has passed the verification;

a first determining unit 30325, configured to determine the first arrival site time according to the earliest snapshot time, and determine the corresponding first site code according to the first arrival site time;

The second determining unit 30326 is configured to determine the second arrival site time according to the latest snapshot time, and determine the corresponding second site code according to the second arrival site time;

The third determining unit 30327 is configured to determine the route code of the target person in the first preset time period according to the first station code and the second station code.

Optionally, as shown in FIG. 9 , the second determining module 304 includes:

The statistics sub-module 3041 is configured to use the second preset time period as a statistical interval to perform quantitative statistics on the route codes of the first preset time period;

The selection sub-module 3042 is used for sorting all the route codes by quantity, and taking the N routes corresponding to the TOP-N route codes as the hotspot routes of the target person in the second preset time period.

It should be noted that the hotspot route analysis apparatus provided by the embodiment of the present invention may be applied to devices such as mobile phones, monitors, computers, and servers that can perform hotspot route analysis.

The hotspot route analysis device provided by the embodiment of the present invention can implement each process implemented by the hotspot route analysis method in the above method embodiments, and can achieve the same beneficial effects. In order to avoid repetition, details are not repeated here.

Referring to FIG. 10, FIG. 10 is a schematic structural diagram of an electronic device provided by an embodiment of the present invention. As shown in FIG. 10, it includes: a memory 1002, a processor 1001, and a memory 1002 and a processor A computer program running on 1001, where:

The processor 1001 is used for calling the computer program stored in the memory 1002, and performs the following steps:

Obtain the snapshot track information of the target person in the first preset time period, where the target person is a mobile person, the snapshot track information includes the personnel snapshot data of the target person, and the personnel snapshot data of the target person includes the target The capture time of the person and the code of the public transport unit;

Acquiring the public transportation unit trajectory information corresponding to the public transportation unit code in the first preset time period, where the public transportation unit trajectory information includes the station code and the arrival time at the station;

Determine, based on the captured track information and the track information of the public transport unit, a route code of the target person in the first preset time period, and each of the route codes corresponds to a route;

According to the route code of the target person in the first preset time period, the hotspot route of the target person in the second preset time period is determined, and the second preset time period includes a plurality of first preset time periods.

Optionally, the acquisition of the captured track information of the target person in the first preset time period performed by the processor 1001 includes:

Obtaining personnel snapshot data collected by a snapshot device on a public transportation unit, where the personnel snapshot data includes the person's face image, the snapshot time, the capture device code, and the public transportation unit code;

Comparing the feature values of the face image in the personnel identity information database to obtain the identity information of the captured personnel;

According to the identity information, the personnel snapshot data is archived to obtain the snapshot personnel file, and stored in the file information database;

Based on the file information database, determine a target person file, where the target person file includes the person snapshot data of the target person;

According to the target person file, the snapshot track information of the target person within the first preset time period is acquired.

Optionally, the processor 1001 further executes the steps of:

Obtain the face image of the person to be analyzed;

Carrying out feature value comparison of the face image of the person to be analyzed in the personnel identity information database, and judging whether the face image of the person to be analyzed is the face image of a mobile person;

If the face image of the person to be analyzed is the face image of the mobile person, the person to be analyzed is determined to be the target person.

Optionally, the execution of the processor 1001 to determine the route code of the target person in the first preset time period based on the captured track information and the track information of the public transport unit includes:

Performing intersection calculation on the captured trajectory information and the public transportation unit trajectory information, to obtain the travel trajectory of the target person in the first preset time period, where the travel trajectory includes the personnel snapshot data of the target person;

The travel trajectory is verified according to a preset verification rule, and the verified travel trajectory is determined as the route code of the target person in the first preset time period.

Optionally, the verification rule is that the travel track includes a plurality of the personnel snapshot data, and the verification of the travel track according to the preset verification rule executed by the processor 1001 includes:

Judging whether the travel track includes a plurality of personnel snapshot data of the target personnel;

If the travel track includes multiple personnel snapshot data of the target person, it is determined that the travel track has passed the verification;

If the travel track includes only one person snapshot data of the target person, it is determined that the travel track has not passed the verification.

Optionally, the determination of the verified travel track performed by the processor 1001 as the route code of the target person in the first preset time period includes:

Extract the earliest snapshot time and latest snapshot time in the verified travel track;

Determine the first arrival site time according to the earliest snapshot time, and determine the corresponding first site code according to the first arrival site time;

Determine the second arrival site time according to the latest snapshot time, and determine the corresponding second site code according to the second arrival site time;

According to the first station code and the second station code, the route code of the target person in the first preset time period is determined.

Optionally, determining the hotspot route of the target person in the second preset time period according to the route code of the target person in the first preset time period executed by the processor 1001 includes:

Using the second preset time period as a statistical interval, perform quantitative statistics on the route codes of the first preset time period;

Sort all the route codes according to the number, and take the N routes corresponding to the first N route codes as the hot routes of the target person in the second preset time period.

It should be noted that the above electronic device may be a mobile phone, a monitor, a computer, a server and other devices that can be applied to hotspot route analysis.

The electronic device provided in the embodiment of the present invention can implement each process implemented by the hotspot route analysis method in the above method embodiment, and can achieve the same beneficial effect. To avoid repetition, details are not repeated here.

Embodiments of the present invention further provide a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, implements each process of the hotspot route analysis method provided by the embodiment of the present invention, and can To achieve the same technical effect, in order to avoid repetition, details are not repeated here.

Claims (10)

1. A method for analyzing hot spots, comprising the following steps:

   Obtain the snapshot track information of the target person in the first preset time period, where the target person is a mobile person, the snapshot track information includes the personnel snapshot data of the target person, and the personnel snapshot data of the target person includes the target The capture time of the person and the code of the public transport unit;

   Acquiring the public transportation unit trajectory information corresponding to the public transportation unit code in the first preset time period, where the public transportation unit trajectory information includes the station code and the arrival time at the station;

   Determine, based on the captured track information and the track information of the public transport unit, a route code of the target person in the first preset time period, and each of the route codes corresponds to a route;

   According to the route code of the target person in the first preset time period, the hotspot route of the target person in the second preset time period is determined, and the second preset time period includes a plurality of first preset time periods.
2. The method according to claim 1, wherein the acquiring the snapshot track information of the target person in the first preset time period comprises:

   Obtaining personnel snapshot data collected by a snapshot device on a public transportation unit, where the personnel snapshot data includes the person's face image, the snapshot time, the capture device code, and the public transportation unit code;

   Comparing the feature values of the face image in the personnel identity information database to obtain the identity information of the captured personnel;

   According to the identity information, the personnel snapshot data is archived to obtain the snapshot personnel file, and stored in the file information database;

   Based on the file information database, determine a target person file, where the target person file includes the person snapshot data of the target person;

   According to the target person file, the snapshot track information of the target person within the first preset time period is acquired.
3. The method of claim 2, wherein the method further comprises:

   Obtain the face image of the person to be analyzed;

   Carrying out feature value comparison of the face image of the person to be analyzed in the personnel identity information database, and judging whether the face image of the person to be analyzed is the face image of a mobile person;

   If the face image of the person to be analyzed is the face image of the mobile person, the person to be analyzed is determined to be the target person.
4. The method of claim 3, wherein, determining the route code of the target person in the first preset time period based on the captured track information and the public transport unit track information, comprising:

   Performing intersection calculation on the captured trajectory information and the public transportation unit trajectory information, to obtain the travel trajectory of the target person in the first preset time period, where the travel trajectory includes the personnel snapshot data of the target person;

   The travel trajectory is verified according to a preset verification rule, and the verified travel trajectory is determined as the route code of the target person in the first preset time period.
5. The method according to claim 4, wherein the verification rule is that the travel trajectory includes a plurality of snapshot data of the person, and the travel trajectory is verified according to a preset verification rule ,include:

   Judging whether the travel track includes a plurality of personnel snapshot data of the target personnel;

   If the travel track includes multiple personnel snapshot data of the target person, it is determined that the travel track has passed the verification;

   If the travel track includes only one person snapshot data of the target person, it is determined that the travel track has not passed the verification.
6. The method according to claim 5, characterized in that, determining the travel trajectory that has passed the verification as the route code of the target person in the first preset time period, comprising:

   Extract the earliest snapshot time and latest snapshot time in the verified travel track;

   Determine the first arrival site time according to the earliest snapshot time, and determine the corresponding first site code according to the first arrival site time;

   Determine the second arrival site time according to the latest snapshot time, and determine the corresponding second site code according to the second arrival site time;

   According to the first station code and the second station code, the route code of the target person in the first preset time period is determined.
7. The method according to any one of claims 1 to 6, wherein the hot spot of the target person in the second preset time period is determined according to the route code of the target person in the first preset time period route, including:

   Using the second preset time period as a statistical interval, perform quantitative statistics on the route codes of the first preset time period;

   Sort all the route codes according to the number, and take the N routes corresponding to the first N route codes as the hot routes of the target person in the second preset time period.
8. A hotspot route analysis device, characterized in that the device comprises:

   The first acquisition module is configured to acquire the snapshot track information of the target person in the first preset time period, where the target person is a mobile person, and the snapshot track information includes the person snapshot data of the target person, and the target person's snapshot data. The personnel snapshot data includes the snapshot time of the target person and the code of the public transportation unit;

   a second acquisition module, configured to acquire the public transport unit trajectory information corresponding to the public transport unit code in the first preset time period, where the public transport unit trajectory information includes the station code and the arrival time at the station;

   a first determination module, configured to determine, based on the captured track information and the track information of the public transport unit, the route code of the target person in the first preset time period, and each route code corresponds to a route;

   The second determination module is configured to determine the hotspot route of the target person in the second preset time period according to the route code of the target person in the first preset time period, and the second preset time period includes a plurality of the first preset time period.
9. An electronic device, characterized by comprising: a memory, a processor, and a computer program stored on the memory and running on the processor, the processor implementing the computer program as claimed in claim 1 when the processor executes the computer program Steps in the hot spot route analysis method described in any one of to 7.
10. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the hotspot route according to any one of claims 1 to 7 is realized steps in an analytical method.

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