Rail transit station area collaborative management method and system based on Beidou positioning

Abstract

The invention discloses a rail transit station area collaborative management method and system based on Beidou positioning, and relates to the field of rail transit station management.The system comprises a people flow data monitoring module, an in-station data detection module, a preliminary analysis module and a collaborative analysis module. The method comprises the following steps: acquiring personnel distribution and flow states in real time, generating a personnel control set, comprehensively designing project information, a people flow early warning model and a scheduling weight coefficient, dynamically calculating management personnel demands of each region, optimizing human resource configuration, associating the people flow early warning coefficient with a train operation interval through a collaborative analysis module, automatically triggering rail train transport capacity adjustment, and realizing real-time scheduling of the rail train. The method is advantaged in that passenger flow peak and carrying capacity are balanced, station area passenger flow control precision, emergency response efficiency and resource scheduling rationality are substantially improved, congestion and potential safety hazard are reduced, data-driven decision support is provided for rail transit intelligent operation, and passenger passing efficiency and service quality are effectively improved.

Description

Technical Field

[0001] The present application relates to the field of rail transit management, and in particular to a method and system for collaborative management of rail transit stations based on Beidou positioning. Background Art

[0002] As a core component of urban public transportation, rail transit boasts high capacity and high efficiency, but it also faces increasing pressure from passenger flow. With the acceleration of urbanization and the expansion of rail transit networks, passenger density within stations surges during peak hours in the morning and evening, as well as during major events, potentially leading to safety hazards such as crowding and stampedes. Against this backdrop, rail transit station passenger flow management technology has emerged, aiming to optimize passenger flow organization through intelligent means, improving operational safety and service levels. However, existing technologies still have the following shortcomings: When faced with sudden large passenger flows, existing technologies lack comprehensive emergency response plans for stations, making it impossible to conduct scientific and systematic analysis of passenger flows within the station, thereby reducing the effectiveness and accuracy of passenger flow guidance within the station. Existing technologies lack effective data basis for arranging management personnel, reducing the actual efficiency of management personnel, hindering the effective management and guidance of passenger flows within the station, and potentially causing panic among passengers or stampedes. Summary of the Invention

[0003] The purpose of the present invention is to provide a rail transit station area collaborative management method and system based on Beidou positioning to solve the problems raised in the above background technology.

[0004] To achieve the above objectives, the present invention provides the following technical solutions: a rail transit station area collaborative management system based on Beidou positioning, comprising: Crowd flow data monitoring module: used to monitor the crowd flow conditions of each rail transit station in the rail transit line and obtain the crowd flow data set corresponding to each rail transit station; Station data detection module: used to monitor and analyze the distribution of personnel in each rail transit station and obtain the corresponding personnel control set for each rail transit station; Preliminary analysis module: used to comprehensively analyze the passenger flow data set corresponding to each rail transit station and the personnel control data set corresponding to each rail transit station to obtain the management data set corresponding to each rail transit station; Collaborative analysis module: used to analyze the management data set corresponding to each rail transit station and obtain the collaborative management results corresponding to the rail transit station.

[0005] In the preferred embodiment of this solution, the specific implementation of the crowd data monitoring module is as follows: Acquire images corresponding to preset camera devices at respective entrances and exits of respective rail transit stations, and record the images corresponding to the preset camera devices at respective entrances and exits of respective rail transit stations as images of personnel flow at respective entrances and exits of respective rail transit stations; Establish a data extraction relationship between the crowd data monitoring module and the database, and extract the walking models of people based on the combination of each human body model and walking direction stored in the database; Obtain the interval between two adjacent trains corresponding to the rail transit line, and record the interval between two adjacent trains corresponding to the rail transit line as the passenger flow analysis duration of each rail transit station; Get the orientation of each entrance and exit of each rail transit station; Image recognition is performed based on a human walking model composed of a combination of human models and walking directions, the orientation of each entrance and exit corresponding to each rail transit station, and a personnel flow image corresponding to each entrance and exit of each rail transit station stored in a database, to obtain personnel flow information corresponding to a unit time period in the personnel flow image corresponding to each entrance and exit of each rail transit station, and the personnel flow information corresponding to a unit time period in the personnel flow image of each entrance and exit is recorded as the personnel flow information corresponding to each entrance and exit, wherein the personnel information includes the number of people entering and exiting the station within the unit time period; The unit time period corresponding to each rail transit station is equal to the passenger flow analysis duration of each rail transit station; The data statistics and analysis of the personnel flow information corresponding to each entrance and exit are performed to obtain the personnel flow data set corresponding to each rail transit station. The personnel flow data set includes the total number of people entering the station, the total number of people leaving the station, the frequency of entering the station, and the frequency of leaving the station in a unit time period.

[0006] In the preferred embodiment of this solution, the specific implementation of the in-station data detection module is as follows: Establish a data extraction relationship between the station data detection module and the database to extract the effective monitoring area of ​​various types of security monitoring equipment stored in the database; Obtain the station planning scheme corresponding to each rail transit station, obtain the equipment type and location coordinates of each security monitoring device in each rail transit station according to the station planning scheme corresponding to each rail transit station, obtain the effective monitoring area corresponding to each security monitoring device in each rail transit station by matching the equipment type of each security monitoring device in each rail transit station, divide the interior of the rail transit station according to the effective monitoring area and location coordinates corresponding to each security monitoring device, and obtain the safety monitoring areas and relative positions of each safety monitoring area in each rail transit station Analyze and extract the monitoring information of the security monitoring equipment corresponding to each security monitoring area to obtain the number of people corresponding to each security monitoring area. The number of people information refers to the number of mobile and permanent people in the security monitoring area within a unit time period; A data model is established based on the effective monitoring area of ​​the safety monitoring equipment corresponding to each safety monitoring area and the number of people corresponding to each safety monitoring area. Data analysis is performed to obtain the management personnel dispatch index corresponding to each safety monitoring area. The management personnel dispatch index corresponding to each safety monitoring area of ​​each rail transit station is statistically obtained, and the management personnel dispatch index corresponding to each safety monitoring area of ​​each rail transit station is recorded as the personnel control set corresponding to each rail transit station.

[0007] In the preferred embodiment of this solution, the specific implementation of the preliminary analysis module is as follows: Establishing a data extraction relationship between the preliminary analysis module and the database to extract design project information corresponding to each rail transit station stored in the database, wherein the design project information includes the maximum number of people in the station and the maximum passenger flow; Based on the design project information and passenger flow data sets corresponding to each rail transit station, a passenger flow warning data model corresponding to each rail transit station is established. The passenger flow warning coefficient corresponding to each rail transit station is obtained by analyzing the data using the data analysis method preset in the data model. Extracting the personnel scheduling weight coefficient corresponding to the management personnel scheduling index and the crowd flow warning coefficient stored in the database; A data model is established based on the management personnel dispatch index of each rail transit station corresponding to each safety monitoring area, the corresponding passenger flow warning coefficient of each rail transit station, and the personnel dispatch weight coefficient corresponding to the management personnel dispatch index and the passenger flow warning coefficient. The data model is then analyzed to obtain the comprehensive personnel dispatch index of each rail transit station corresponding to each safety monitoring area. The management personnel allocation density corresponding to each comprehensive personnel dispatch index stored in the database is extracted. According to the comprehensive personnel dispatch index of each safety monitoring area corresponding to the rail transit station, the management personnel allocation density of the comprehensive personnel dispatch index corresponding to each safety monitoring area of ​​each rail transit station is screened and obtained. According to the effective monitoring area of ​​each safety monitoring area corresponding to each rail transit station, data calculation is performed to obtain the management personnel allocation quantity corresponding to each safety monitoring area of ​​each rail transit station. The management personnel allocation quantity corresponding to each safety monitoring area of ​​each rail transit station is recorded as the management data set corresponding to each rail transit station.

[0008] In the preferred embodiment of this solution, the specific implementation of the collaborative analysis module is as follows: Obtain the work schedule of the management personnel corresponding to each rail transit station, and obtain the number of management personnel working in each rail transit station within the corresponding unit time period based on the analysis of the work schedule of the management personnel corresponding to each rail transit station; Obtain the relative positions of managers in each rail transit station through the Beidou positioning devices worn by managers; Statistical screening is performed based on the relative positions of each rail transit station corresponding to each safety monitoring area to obtain the actual number of management personnel corresponding to each safety monitoring area at each rail transit station; Compare the actual number of managers corresponding to each safety monitoring area of ​​each rail transit station with the required number of managers for each safety monitoring area of ​​each rail transit station. If the actual number of managers is greater than the required number of managers, the excess managers will be allocated to the unsatisfied safety monitoring area closest to the safety monitoring area. The unsatisfied safety monitoring area refers to the safety monitoring area where the actual number of managers is less than the required number of managers. The allocation control of managers of each rail transit station is recorded as the manager allocation control set of each rail transit station. Collect data on the number of managers required to be assigned to each safety monitoring area at each rail transit station to obtain the total number of managers required to be assigned to each rail transit station; A data model is established based on the number of management personnel working in each rail transit station within a unit time period, the total number of management personnel required to be assigned to each rail transit station, and the corresponding passenger flow warning coefficient of each rail transit station. Data analysis is then performed to obtain the comprehensive passenger flow warning coefficient corresponding to each rail transit station. Compare and analyze the comprehensive passenger flow warning coefficient corresponding to each rail transit station with the preset comprehensive passenger flow warning coefficient threshold. If the comprehensive passenger flow warning coefficient corresponding to the rail transit station is less than or equal to the preset comprehensive passenger flow warning coefficient threshold, it means that the passenger flow at the rail transit station is in a safe operating range. If the comprehensive passenger flow warning coefficient corresponding to the rail transit station is greater than the preset comprehensive passenger flow warning coefficient threshold, it means that the passenger flow at the rail transit station is in a dangerous operating range. The passenger flow at the rail transit station is managed, and the rail transit station with a passenger flow in a dangerous operating range is recorded as a demand rail transit station. Statistics are obtained to obtain the demand rail transit stations and the number of demand rail transit stations in the rail transit line. Obtain the number of rail transit stations in the rail transit line, calculate the ratio of the number of rail transit stations in the rail transit line to the number of required rail transit stations, and record the ratio of the required rail transit stations to the number of rail transit stations as the demand ratio corresponding to the rail transit line; The demand ratio corresponding to the rail transit line is compared and analyzed with the preset demand ratio threshold. If the demand ratio corresponding to the rail transit line is less than or equal to the preset demand ratio threshold, there is no need to adjust and control the running interval of the rail train corresponding to the rail transit line. If the demand ratio corresponding to the rail transit line is greater than the preset demand ratio threshold, it is necessary to adjust and control the running interval of the rail train corresponding to the rail transit line. The adjustment control of the running interval of the rail train corresponding to the rail transit line and the allocation control set of the management personnel of each rail transit station are recorded as the collaborative management result corresponding to the rail transit station.

[0009] To achieve the above objectives, the present invention further provides the following technical solution: a method for coordinated management of rail transit stations based on Beidou positioning, comprising the following steps: Monitor the passenger flow conditions at each rail transit station along the rail transit line and obtain the passenger flow data set corresponding to each rail transit station; Monitor and analyze the distribution of people in each rail transit station to obtain the corresponding personnel control set for each rail transit station; Comprehensively analyze the passenger flow dataset and the personnel control dataset corresponding to each rail transit station to obtain the management dataset corresponding to each rail transit station; The management data sets corresponding to each rail transit station are analyzed to obtain the collaborative management results corresponding to the rail transit station.

[0010] Compared with the prior art, the present invention has the following beneficial effects: The present invention divides the station into areas according to the effective monitoring area of ​​the security monitoring equipment, obtains the distribution and flow status of personnel in real time, generates a personnel control set, comprehensively designs project establishment information, crowd warning models and scheduling weight coefficients, dynamically calculates the management personnel needs of each area, optimizes human resource allocation, and associates the crowd warning coefficient with the train running interval through a collaborative analysis module, automatically triggers the adjustment of rail train capacity, balances passenger flow peaks and carrying capacity, significantly improves the accuracy of station crowd control, emergency response efficiency and rationality of resource scheduling, reduces congestion and safety hazards, provides data-driven decision support for intelligent operation of rail transit, and effectively improves passenger travel efficiency and service quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] The present invention is further described with reference to the accompanying drawings. However, the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative effort.

[0012] Figure 1 This is a schematic diagram of module connections according to an embodiment of the present invention.

[0013] Figure 2 This is a schematic diagram of the connection steps of an embodiment of the present invention. DETAILED DESCRIPTION

[0014] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts are within the scope of protection of the present invention.

[0015] See also Figure 1 , the present invention provides a rail transit station area collaborative management system based on Beidou positioning, the system includes a passenger flow data monitoring module, an in-station data detection module, a preliminary analysis module and a collaborative analysis module; The crowd flow data monitoring module is connected to the preliminary analysis module, the station data detection module is connected to the preliminary analysis module, and the preliminary analysis module is connected to the collaborative analysis module; The passenger flow data monitoring module is used to monitor the passenger flow conditions of each rail transit station in the rail transit line and obtain the passenger flow data set corresponding to each rail transit station; Furthermore, the specific implementation of the crowd flow data monitoring module is as follows: Acquire images corresponding to preset camera devices at respective entrances and exits of respective rail transit stations, and record the images corresponding to the preset camera devices at respective entrances and exits of respective rail transit stations as images of personnel flow at respective entrances and exits of respective rail transit stations; Establish a data extraction relationship between the crowd data monitoring module and the database, and extract the walking models of people based on the combination of each human body model and walking direction stored in the database; Obtain the interval between two adjacent trains corresponding to the rail transit line, and record the interval between two adjacent trains corresponding to the rail transit line as the passenger flow analysis duration of each rail transit station; Get the orientation of each entrance and exit of each rail transit station; Image recognition is performed based on a human walking model composed of a combination of human models and walking directions, the orientation of each entrance and exit corresponding to each rail transit station, and a personnel flow image corresponding to each entrance and exit of each rail transit station stored in a database, to obtain personnel flow information corresponding to a unit time period in the personnel flow image corresponding to each entrance and exit of each rail transit station, and the personnel flow information corresponding to a unit time period in the personnel flow image of each entrance and exit is recorded as the personnel flow information corresponding to each entrance and exit, wherein the personnel information includes the number of people entering and exiting the station within the unit time period; The unit time period corresponding to each rail transit station is equal to the passenger flow analysis duration of each rail transit station; The data statistics and analysis of the personnel flow information corresponding to each entrance and exit are performed to obtain the personnel flow data set corresponding to each rail transit station. The personnel flow data set includes the total number of people entering the station, the total number of people leaving the station, the frequency of entering the station, and the frequency of leaving the station in a unit time period.

[0016] The station data detection module is used to monitor and analyze the distribution of personnel in each rail transit station and obtain the corresponding personnel control set for each rail transit station; Furthermore, the specific implementation of the in-station data detection module is as follows: Establish a data extraction relationship between the station data detection module and the database to extract the effective monitoring area of ​​various types of security monitoring equipment stored in the database; Obtain the station planning scheme corresponding to each rail transit station, obtain the equipment type and location coordinates of each security monitoring device in each rail transit station according to the station planning scheme corresponding to each rail transit station, obtain the effective monitoring area corresponding to each security monitoring device in each rail transit station by matching the equipment type of each security monitoring device in each rail transit station, divide the interior of the rail transit station according to the effective monitoring area and location coordinates corresponding to each security monitoring device, and obtain the safety monitoring areas and relative positions of each safety monitoring area in each rail transit station Analyze and extract the monitoring information of the security monitoring equipment corresponding to each security monitoring area to obtain the number of people corresponding to each security monitoring area. The number of people information refers to the number of mobile and permanent people in the security monitoring area within a unit time period; A data model is established based on the effective monitoring area of ​​the safety monitoring equipment corresponding to each safety monitoring area and the number of people corresponding to each safety monitoring area. Data analysis is performed to obtain the management personnel dispatch index corresponding to each safety monitoring area. The management personnel dispatch index corresponding to each safety monitoring area of ​​each rail transit station is statistically obtained, and the management personnel dispatch index corresponding to each safety monitoring area of ​​each rail transit station is recorded as the personnel control set corresponding to each rail transit station.

[0017] It should be noted that the specific analysis process of the management personnel scheduling index corresponding to each safety monitoring area is as follows: The effective monitoring area of ​​the security monitoring equipment corresponding to the security monitoring area is marked as S; The number of mobile people and permanent people corresponding to the security monitoring area are marked as m1 and m2 respectively; The management personnel scheduling index corresponding to the safety monitoring area = m1 / S+m2 / S; The preliminary analysis module is used to comprehensively analyze the passenger flow data set corresponding to each rail transit station and the personnel control set corresponding to each rail transit station to obtain the management data set corresponding to each rail transit station; Furthermore, the specific execution method of the preliminary analysis module is as follows: Establishing a data extraction relationship between the preliminary analysis module and the database to extract design project information corresponding to each rail transit station stored in the database, wherein the design project information includes the maximum number of people in the station and the maximum passenger flow; Based on the design project information and passenger flow data sets corresponding to each rail transit station, a passenger flow warning data model corresponding to each rail transit station is established. The passenger flow warning coefficient corresponding to each rail transit station is obtained by analyzing the data using the data analysis method preset in the data model. It should be noted that the specific analysis process of the crowd flow warning coefficient corresponding to each rail transit station is as follows: Get the total area S1 of the rail transit station; The total number of people entering the station, the total number of people leaving the station, the frequency of entering the station, and the frequency of leaving the station are marked as M1, M2, p1, and p2 respectively; The maximum number of people in the station and the maximum passenger flow corresponding to the rail transit station are marked as M0 and p0 respectively; The passenger flow warning coefficient corresponding to the rail transit station = ((M1+M2) / 2M0+(p1+p2) / 2p0) / S1; Extracting the personnel scheduling weight coefficient corresponding to the management personnel scheduling index and the crowd flow warning coefficient stored in the database; A data model is established based on the management personnel dispatch index of each rail transit station corresponding to each safety monitoring area, the corresponding passenger flow warning coefficient of each rail transit station, and the personnel dispatch weight coefficient corresponding to the management personnel dispatch index and the passenger flow warning coefficient. The data model is then analyzed to obtain the comprehensive personnel dispatch index of each rail transit station corresponding to each safety monitoring area. It should be noted that the specific analysis method of the comprehensive personnel dispatch index of each rail transit station corresponding to each safety monitoring area is as follows: The personnel scheduling weight coefficients corresponding to the management personnel scheduling index and the crowd flow warning coefficient are marked as A1 and A2 respectively; The comprehensive personnel dispatch index of the safety monitoring area = the management personnel dispatch index corresponding to the safety monitoring area × A1 + the passenger flow warning coefficient corresponding to the rail transit station × A2.

[0018] The management personnel allocation density corresponding to each comprehensive personnel dispatch index stored in the database is extracted. According to the comprehensive personnel dispatch index of each safety monitoring area corresponding to the rail transit station, the management personnel allocation density of the comprehensive personnel dispatch index corresponding to each safety monitoring area of ​​each rail transit station is screened and obtained. According to the effective monitoring area of ​​each safety monitoring area corresponding to each rail transit station, data calculation is performed to obtain the management personnel allocation quantity corresponding to each safety monitoring area of ​​each rail transit station. The management personnel allocation quantity corresponding to each safety monitoring area of ​​each rail transit station is recorded as the management data set corresponding to each rail transit station.

[0019] The collaborative analysis module is used to analyze the management data set corresponding to each rail transit station and obtain the collaborative management results corresponding to the rail transit station.

[0020] Furthermore, the specific execution method of the collaborative analysis module is as follows: Obtain the work schedule of the management personnel corresponding to each rail transit station, and obtain the number of management personnel working in each rail transit station within the corresponding unit time period based on the analysis of the work schedule of the management personnel corresponding to each rail transit station; Obtain the relative positions of managers in each rail transit station through the Beidou positioning devices worn by managers; Statistical screening is performed based on the relative positions of each rail transit station corresponding to each safety monitoring area to obtain the actual number of management personnel corresponding to each safety monitoring area at each rail transit station; Compare the actual number of managers corresponding to each safety monitoring area of ​​each rail transit station with the required number of managers for each safety monitoring area of ​​each rail transit station. If the actual number of managers is greater than the required number of managers, the excess managers will be allocated to the unsatisfied safety monitoring area closest to the safety monitoring area. The unsatisfied safety monitoring area refers to the safety monitoring area where the actual number of managers is less than the required number of managers. The allocation control of managers of each rail transit station is recorded as the manager allocation control set of each rail transit station. Collect data on the number of managers required to be assigned to each safety monitoring area at each rail transit station to obtain the total number of managers required to be assigned to each rail transit station; A data model is established based on the number of management personnel working in each rail transit station within a unit time period, the total number of management personnel required to be assigned to each rail transit station, and the corresponding passenger flow warning coefficient of each rail transit station. Data analysis is then performed to obtain the comprehensive passenger flow warning coefficient corresponding to each rail transit station. It should be noted that the specific analysis process of the comprehensive passenger flow warning coefficient corresponding to each rail transit station is as follows; The number of management personnel working in the corresponding unit time period of the rail transit station is marked as m3; The total amount that needs to be allocated by the corresponding management personnel of the rail transit station is marked as m4; Comprehensive crowd flow warning coefficient corresponding to rail transit stations = crowd flow warning coefficient corresponding to rail transit stations × (m4 / m3); Compare and analyze the comprehensive passenger flow warning coefficient corresponding to each rail transit station with the preset comprehensive passenger flow warning coefficient threshold. If the comprehensive passenger flow warning coefficient corresponding to the rail transit station is less than or equal to the preset comprehensive passenger flow warning coefficient threshold, it means that the passenger flow at the rail transit station is in a safe operating range. If the comprehensive passenger flow warning coefficient corresponding to the rail transit station is greater than the preset comprehensive passenger flow warning coefficient threshold, it means that the passenger flow at the rail transit station is in a dangerous operating range. The passenger flow at the rail transit station is managed, and the rail transit station with a passenger flow in a dangerous operating range is recorded as a demand rail transit station. Statistics are obtained to obtain the demand rail transit stations and the number of demand rail transit stations in the rail transit line. Obtain the number of rail transit stations in the rail transit line, calculate the ratio of the number of rail transit stations in the rail transit line to the number of required rail transit stations, and record the ratio of the required rail transit stations to the number of rail transit stations as the demand ratio corresponding to the rail transit line; The demand ratio corresponding to the rail transit line is compared and analyzed with the preset demand ratio threshold. If the demand ratio corresponding to the rail transit line is less than or equal to the preset demand ratio threshold, there is no need to adjust and control the running interval of the rail train corresponding to the rail transit line. If the demand ratio corresponding to the rail transit line is greater than the preset demand ratio threshold, it is necessary to adjust and control the running interval of the rail train corresponding to the rail transit line. The adjustment control of the running interval of the rail train corresponding to the rail transit line and the allocation control set of the management personnel of each rail transit station are recorded as the collaborative management result corresponding to the rail transit station.

[0021] See also Figure 2 To achieve the above-mentioned purpose, the present invention further provides the following technical solution: a method for coordinated management of rail transit stations based on Beidou positioning, comprising the following steps: Monitor the passenger flow conditions at each rail transit station along the rail transit line and obtain the passenger flow data set corresponding to each rail transit station; Monitor and analyze the distribution of people in each rail transit station to obtain the corresponding personnel control set for each rail transit station; Comprehensively analyze the passenger flow dataset and the personnel control dataset corresponding to each rail transit station to obtain the management dataset corresponding to each rail transit station; The management data sets corresponding to each rail transit station are analyzed to obtain the collaborative management results corresponding to the rail transit station.

[0022] The above are all preferred embodiments of the present application, and are not intended to limit the scope of protection of the present application. Therefore, any equivalent changes made based on the structure, shape, and principle of the present application should be included in the scope of protection of the present application.

Claims

1. A rail transit station area collaborative management system based on Beidou positioning, characterized by: include: Crowd flow data monitoring module: used to monitor the crowd flow conditions of each rail transit station in the rail transit line and obtain the crowd flow data set corresponding to each rail transit station; Station data detection module: used to monitor and analyze the distribution of personnel in each rail transit station and obtain the corresponding personnel control set for each rail transit station; Preliminary analysis module: used to comprehensively analyze the passenger flow data set corresponding to each rail transit station and the personnel control data set corresponding to each rail transit station to obtain the management data set corresponding to each rail transit station; Collaborative analysis module: used to analyze the management data set corresponding to each rail transit station and obtain the collaborative management results corresponding to the rail transit station.

2. The rail transit station area collaborative management system based on Beidou positioning according to claim 1 is characterized by: The specific implementation of the crowd flow data monitoring module is as follows: Acquire images corresponding to preset camera devices at respective entrances and exits of respective rail transit stations, and record the images corresponding to the preset camera devices at respective entrances and exits of respective rail transit stations as images of personnel flow at respective entrances and exits of respective rail transit stations; Establish a data extraction relationship between the crowd data monitoring module and the database, and extract the walking models of people based on the combination of each human body model and walking direction stored in the database; Obtain the interval between two adjacent trains corresponding to the rail transit line, and record the interval between two adjacent trains corresponding to the rail transit line as the passenger flow analysis duration of each rail transit station; Get the orientation of each entrance and exit of each rail transit station; Image recognition is performed based on a human walking model composed of a combination of human models and walking directions, the orientation of each entrance and exit corresponding to each rail transit station, and a personnel flow image corresponding to each entrance and exit of each rail transit station stored in a database, to obtain personnel flow information corresponding to a unit time period in the personnel flow image corresponding to each entrance and exit of each rail transit station, and the personnel flow information corresponding to a unit time period in the personnel flow image of each entrance and exit is recorded as the personnel flow information corresponding to each entrance and exit, wherein the personnel information includes the number of people entering and exiting the station within the unit time period; The unit time period corresponding to each rail transit station is equal to the passenger flow analysis duration of each rail transit station; The data statistics and analysis of the personnel flow information corresponding to each entrance and exit are performed to obtain the personnel flow data set corresponding to each rail transit station. The personnel flow data set includes the total number of people entering the station, the total number of people leaving the station, the frequency of entering the station, and the frequency of leaving the station in a unit time period.

3. The rail transit station area collaborative management system based on Beidou positioning according to claim 1 is characterized by: The specific implementation of the in-station data detection module is as follows: Establish a data extraction relationship between the station data detection module and the database to extract the effective monitoring area of ​​various types of security monitoring equipment stored in the database; Obtain the station planning scheme corresponding to each rail transit station, obtain the equipment type and location coordinates of each security monitoring device in each rail transit station based on the station planning scheme corresponding to each rail transit station, obtain the effective monitoring area corresponding to each security monitoring device in each rail transit station by matching the equipment type of each security monitoring device in each rail transit station, divide the interior of the rail transit station according to the effective monitoring area and location coordinates corresponding to each security monitoring device, and obtain each security monitoring area in each rail transit station and the relative position of each security monitoring area; Analyze and extract the monitoring information of the security monitoring equipment corresponding to each security monitoring area to obtain the number of people corresponding to each security monitoring area. The number of people information refers to the number of mobile and permanent people in the security monitoring area within a unit time period; A data model is established based on the effective monitoring area of ​​the safety monitoring equipment corresponding to each safety monitoring area and the number of people corresponding to each safety monitoring area. Data analysis is performed to obtain the management personnel dispatch index corresponding to each safety monitoring area. The management personnel dispatch index corresponding to each safety monitoring area of ​​each rail transit station is statistically obtained, and the management personnel dispatch index corresponding to each safety monitoring area of ​​each rail transit station is recorded as the personnel control set corresponding to each rail transit station.

4. The rail transit station area collaborative management system based on Beidou positioning according to claim 3 is characterized by: The specific execution method of the preliminary analysis module is as follows: Establishing a data extraction relationship between the preliminary analysis module and the database to extract design project information corresponding to each rail transit station stored in the database, wherein the design project information includes the maximum number of people in the station and the maximum passenger flow; Based on the design project information and passenger flow data sets corresponding to each rail transit station, a passenger flow warning data model corresponding to each rail transit station is established. The passenger flow warning coefficient corresponding to each rail transit station is obtained by analyzing the data using the data analysis method preset in the data model. Extracting the personnel scheduling weight coefficient corresponding to the management personnel scheduling index and the crowd flow warning coefficient stored in the database; A data model is established based on the management personnel dispatch index of each rail transit station corresponding to each safety monitoring area, the corresponding passenger flow warning coefficient of each rail transit station, and the personnel dispatch weight coefficient corresponding to the management personnel dispatch index and the passenger flow warning coefficient. The data model is then analyzed to obtain the comprehensive personnel dispatch index of each rail transit station corresponding to each safety monitoring area. The management personnel allocation density corresponding to each comprehensive personnel dispatch index stored in the database is extracted. According to the comprehensive personnel dispatch index of each safety monitoring area corresponding to the rail transit station, the management personnel allocation density of the comprehensive personnel dispatch index corresponding to each safety monitoring area of ​​each rail transit station is screened and obtained. According to the effective monitoring area of ​​each safety monitoring area corresponding to each rail transit station, data calculation is performed to obtain the management personnel allocation quantity corresponding to each safety monitoring area of ​​each rail transit station. The management personnel allocation quantity corresponding to each safety monitoring area of ​​each rail transit station is recorded as the management data set corresponding to each rail transit station.

5. The rail transit station area collaborative management system based on Beidou positioning according to claim 4 is characterized by: The specific execution method of the collaborative analysis module is as follows: Obtain the work schedule of the management personnel corresponding to each rail transit station, and obtain the number of management personnel working in each rail transit station within the corresponding unit time period based on the analysis of the work schedule of the management personnel corresponding to each rail transit station; Obtain the relative positions of managers in each rail transit station through the Beidou positioning devices worn by managers; Statistical screening is performed based on the relative positions of each rail transit station corresponding to each safety monitoring area to obtain the actual number of management personnel corresponding to each safety monitoring area at each rail transit station; Compare the actual number of managers corresponding to each safety monitoring area of ​​each rail transit station with the required number of managers for each safety monitoring area of ​​each rail transit station. If the actual number of managers is greater than the required number of managers, the excess managers will be allocated to the unsatisfied safety monitoring area closest to the safety monitoring area. The unsatisfied safety monitoring area refers to the safety monitoring area where the actual number of managers is less than the required number of managers. The allocation control of managers of each rail transit station is recorded as the manager allocation control set of each rail transit station. Collect data on the number of managers required to be assigned to each safety monitoring area at each rail transit station to obtain the total number of managers required to be assigned to each rail transit station; A data model is established based on the number of management personnel working in each rail transit station within a unit time period, the total number of management personnel required to be assigned to each rail transit station, and the corresponding passenger flow warning coefficient of each rail transit station. Data analysis is then performed to obtain the comprehensive passenger flow warning coefficient corresponding to each rail transit station. Compare and analyze the comprehensive passenger flow warning coefficient corresponding to each rail transit station with the preset comprehensive passenger flow warning coefficient threshold. If the comprehensive passenger flow warning coefficient corresponding to the rail transit station is less than or equal to the preset comprehensive passenger flow warning coefficient threshold, it means that the passenger flow at the rail transit station is in a safe operating range. If the comprehensive passenger flow warning coefficient corresponding to the rail transit station is greater than the preset comprehensive passenger flow warning coefficient threshold, it means that the passenger flow at the rail transit station is in a dangerous operating range. The passenger flow at the rail transit station is managed, and the rail transit station with a passenger flow in a dangerous operating range is recorded as a demand rail transit station. Statistics are obtained to obtain the demand rail transit stations and the number of demand rail transit stations in the rail transit line. Obtain the number of rail transit stations in the rail transit line, calculate the ratio of the number of rail transit stations in the rail transit line to the number of required rail transit stations, and record the ratio of the required rail transit stations to the number of rail transit stations as the demand ratio corresponding to the rail transit line; The demand ratio corresponding to the rail transit line is compared and analyzed with the preset demand ratio threshold. If the demand ratio corresponding to the rail transit line is less than or equal to the preset demand ratio threshold, there is no need to adjust and control the running interval of the rail train corresponding to the rail transit line. If the demand ratio corresponding to the rail transit line is greater than the preset demand ratio threshold, it is necessary to adjust and control the running interval of the rail train corresponding to the rail transit line. The adjustment control of the running interval of the rail train corresponding to the rail transit line and the allocation control set of the management personnel of each rail transit station are recorded as the collaborative management result corresponding to the rail transit station.

6. A method for collaborative management of rail transit stations based on Beidou positioning, applied to a collaborative management system of rail transit stations based on Beidou positioning as claimed in any one of claims 1 to 5, characterized in that: include: Monitor the passenger flow conditions at each rail transit station along the rail transit line and obtain the passenger flow data set corresponding to each rail transit station; Monitor and analyze the distribution of people in each rail transit station to obtain the corresponding personnel control set for each rail transit station; Comprehensively analyze the passenger flow dataset and the personnel control dataset corresponding to each rail transit station to obtain the management dataset corresponding to each rail transit station; The management data sets corresponding to each rail transit station are analyzed to obtain the collaborative management results corresponding to the rail transit station.

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