CN117764800A - Rail transit regional passenger flow monitoring and analyzing system based on multimode traffic - Google Patents
Rail transit regional passenger flow monitoring and analyzing system based on multimode traffic Download PDFInfo
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Abstract
The invention discloses a rail transit regional passenger flow monitoring and analyzing system based on multimode traffic, which comprises two servers, a plurality of employee terminals, a plurality of user terminals, an access module, a buffer module, a storage module, an analyzing module and a visualization module, wherein the visualization module is used for displaying the comprehensive situation analysis of a current station on a 3d map, and the comprehensive situation analysis comprises passenger flow, congestion events, average stay time, thermodynamic diagrams, ocean current diagrams, alarm events, incoming and outgoing station passenger flow prediction trends, transfer passenger flows, real-time passenger flow comparison, equipment management and control and employee positions, and can also provide a solution for individual travel demands of passengers.
Description
Technical Field
The application relates to the technical field of big data, in particular to a multi-mode data-based visualization system.
Background
The intelligent rail interaction is to construct a full-automatic intelligent running system of station equipment based on novel perception by using intelligent sensing technologies such as intelligent sensing, video analysis and the like on the basis of combining information technology and internet technology through various multi-mode data such as station equipment state data, video data, station personnel position data and various alarm data, so as to realize intelligent active perception and discovery of groups of objects such as equipment environments, passenger flows and personnel of the station, and realize high-quality service and refined management of the station passengers.
At present, urban rail transit lines are used as the largest monomer building of cities, are connected with important passenger flow gathering and distributing places in all places of the cities, and are easy to cause sudden gathering or dissipation of large-scale passenger flows with different degrees due to fusion of the passenger flows in large-scale activities or other important non-conventional scenes, so that direct or indirect influence is generated on passenger traveling and network operation. The traditional rail transit passenger flow analysis method is mainly given through experience and feel of station staff, and passenger travel rules and characteristics cannot be extracted and mined from massive passenger history travel big data. The passenger flow analysis method based on multimode traffic combines the real-time incoming and outgoing passenger flow information, deduces passenger travel information, acquires the road network refined passenger flow distribution and dynamic information, provides accurate passenger flow crowding degree information, and realizes the road network large passenger flow accurate management and control method. And analyzing individual travel rules and characteristics of the passengers through the historical travel records of the passengers, providing personalized information service for the passengers, and realizing accurate information pushing. Effectively uses the passenger flow data, comprehensively meets the requirements of intelligent operation management modes, and rapidly realizes intelligent passenger flow management.
For this reason, a visual monitoring analysis system capable of providing effective information for track traffic management is required.
Disclosure of Invention
The utility model provides a can provide a visual monitoring analysis system of effective information to rail traffic management, people flow safety and passenger flow law in the monitoring public place, scientific prediction passenger crest time quantum, the balanced distribution of assistance manager is on duty personnel, improve the quality of service at station and the trip experience and the trend analysis of passenger to let the management personnel know and prevent the risk that probably appears more easily with visual form, its concrete scheme is as follows:
the application provides a can provide visual monitoring analysis system of effective information to rail traffic management, its improvement lies in: a server and two dynamic 3d map display screens are placed in a dispatching center, more than two user terminals are placed in a platform station hall layer respectively, and the user terminals, the server, a camera and other in-station basic equipment are all connected into a ring network through a gigabit switch.
Furthermore, both servers adopt a hot backup mechanism, and when one of the servers fails, the other server can ensure that other modules operate normally.
Further, the 3d map display screens of the dispatching center and the user terminal are both LCD screens, the display information of the user terminal comprises a multi-floor 3d map, the screen supports touch, the user terminal can navigate to a destination across floors through keyboard input and voice input, the display information of the dispatching center is comprehensive situation analysis of the current station, and the comprehensive situation analysis comprises passenger flow, congestion events, average stay time, thermodynamic diagrams, ocean flow diagrams, alarm events, incoming and outgoing station passenger flow prediction trends, transfer passenger flows, real-time passenger flow comparison, equipment management and control, employee positions and monitoring videos embedded into the 3d map. The contents displayed above all support to be viewed according to the time axis, and support to be displayed simultaneously on a multi-floor platform.
Further, the staff terminal is used for acquiring the position data of the station staff, can communicate with the server in real time, displays the staff positioning data on the three-dimensional digital twin map of the current station, and acquires the staff positioning data by docking with the Bluetooth AOA system.
Further, the user terminal is used for communicating the information of the passenger's location and the target location with the server in real time, and the server gives the navigation route.
Further, the access module is configured to obtain the original data from a multi-mode data source, where the multi-mode data source includes: interfacing with an FEP system interface through a modbus protocol, receiving SSIP real-time library point location data, and obtaining station equipment basic data;
acquiring signaling data of a mobile phone user through a signal transmitting base station; acquiring flight data and passenger data through a flight information acquisition interface; video data acquired by a camera; passenger destination data communicated via the user terminal. Wherein, station equipment basic data includes following fields: device name, device ID, device location, device status, alert content, alert level.
Further, the analysis module is used for processing the original data, and comprises the following sub-modules: signaling and historical data analysis module: analyzing the mobile phone signaling data, and analyzing the possible destination and trip mode of the passenger by combining the historical signaling data;
flight information analysis module: analyzing the possible destination of the passenger through the flight data and the passenger data obtained by the flight information obtaining interface; and a video analysis module: and analyzing the real-time images captured by the camera to obtain the passenger flow, the congestion event, the average residence time, the thermodynamic diagram, the ocean current diagram and the alarm event. And the comprehensive analysis module is used for: the three sub-modules and the passenger destination data transmitted by the user terminal are used for comprehensively judging the prediction trend of the passenger flow entering and exiting the station, the passenger flow and the possible congestion event of the future time line.
Further, the buffer memory module is used for storing newly added original data, and after the original data is processed by the analysis module, the data is stored in the storage module;
further, the storage module is used for storing the processed standard data, and the data is stored through an oracle database. The stored data table comprises a passenger flow table established for different stations, a mobile phone signaling data table established for each passenger, a station equipment basic data table and monitoring video content.
And the visualization system is used for displaying the staff coordinate data, the passenger navigation data and the standard information processed by the analysis module on the 3d map. The 3d map is a high-precision 3d model established by a digital twin technology; the monitoring camera picture is embedded into the 3d model, and an employee can check a real-time picture and a history picture of the target point by clicking. When the visualization module is used for visualizing the management system, after the analysis result of the analysis module is called, the comprehensive situation analysis of the current station is displayed on a 3d map, wherein the comprehensive situation analysis comprises passenger flow, congestion event, average stay time, thermodynamic diagram, ocean current diagram, alarm event, incoming and outgoing station passenger flow prediction trend, transfer passenger flow, real-time passenger flow comparison, equipment management and control and employee position. The contents displayed above all support to be viewed according to the time axis, and support to be displayed simultaneously on a multi-floor platform. And the visualization module displays the planned route in a 3d model of a display screen of the user terminal after sending a navigation request through the user terminal, and supports multi-floor navigation.
The invention has the beneficial effects that: the traditional rail transit passenger flow analysis method is mainly given through experience and feel of station staff, and passenger travel rules and characteristics cannot be extracted and mined from massive passenger history travel big data. The passenger flow analysis method based on multimode traffic combines the real-time incoming and outgoing passenger flow information, deduces passenger travel information, acquires the road network refined passenger flow distribution and dynamic information, provides accurate passenger flow crowding degree information, and realizes the road network large passenger flow accurate management and control method. And analyzing individual travel rules and characteristics of the passengers through the historical travel records of the passengers, providing personalized information service for the passengers, and realizing accurate information pushing. Effectively uses the passenger flow data, comprehensively meets the requirements of intelligent operation management modes, and rapidly realizes intelligent passenger flow management. By docking with each system, the subway station emergency resources are integrated, the communication command platform is integrated, the geographic information system and the video monitoring are effectively integrated, emergency evacuation of command staff is assisted, the subway station command scheduling capability is enhanced, and the emergency position burst and emergency command efficiency is improved.
Drawings
For a clearer description of embodiments of the present application or of the prior art, the drawings that are used in the description of the embodiments or of the prior art will be briefly described, it being apparent that the drawings in the description that follow are only some embodiments of the present application, and that other drawings may be obtained from these drawings by a person of ordinary skill in the art without inventive effort.
FIG. 1 is a schematic diagram of the hardware components of a multi-modal data-based visualization system disclosed in embodiment 1 of the present invention;
FIG. 2 is a flow chart of interactions between modules of the system.
Detailed Description
In order to provide a better understanding of the present application, those skilled in the art will now make further details of the present application with reference to the drawings and detailed description. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
In embodiment 1, as shown in fig. 1, the present embodiment discloses a visual monitoring and analysis system capable of providing effective information for rail traffic management, a research and application project (number: 202201034) of a multimode traffic operation scheduling and maintenance support system based on digital twinning, two servers and two dynamic 3d map display screens are placed in a scheduling center, and more than two user terminals are placed in each platform hall layer. Staff's terminal, user terminal, server, display screen, camera, platform door, floodgate machine, access & exit rolling slats door, elevator staircase, fire alarm, fan water pump and other basic equipment in the station all connect the communication through giga switch and insert in the looped netowrk.
In this embodiment, both servers adopt a hot backup mechanism, data received by the servers are distributed after being stored in an oracle database, and when one of the servers fails, the other server can also ensure that other modules operate normally.
Each server is provided with 4 network interfaces to access the gigabit network, and even if one network line fails, the server cannot be disconnected.
The system communicates with each device through the gigabit switch, so that all devices can access each other in the same network segment through six or more network cable accesses and ip is not repeated.
The display information of the display screen equipped in the dispatching center is the comprehensive situation analysis of the current station, including passenger flow, congestion event, average stay time, thermodynamic diagram, ocean current diagram, alarm event, incoming and outgoing station passenger flow prediction trend, transfer passenger flow, real-time passenger flow comparison, equipment management and control, employee position and monitoring video embedded in the 3d map. The contents displayed above all support to be viewed according to the time axis, and support to be displayed simultaneously on a multi-floor platform.
The display information of the user terminal comprises a multi-floor 3d map, and the screen supports touch, and can navigate to a destination across floors through keyboard input and voice input.
The 3d map display screens of the dispatching center and the user terminal are all LCD screens.
The staff is equipped with staff terminals, the equipment is in the form of mobile phones, and is used for acquiring position data of the station staff, carrying out real-time communication with the server, displaying staff positioning data on a three-dimensional digital twin map of the current station, and acquiring staff positioning data by docking with a Bluetooth AOA system.
The following is the original data processing flow:
101. the original data first enters an access module for obtaining the original data from a multi-mode data source, wherein the multi-mode data source comprises: interfacing with an FEP system interface through a modbus protocol, receiving SSIP real-time library point location data, and obtaining station equipment basic data; acquiring signaling data of a mobile phone user through a signal transmitting base station; acquiring flight data and passenger data through a flight information acquisition interface; video data acquired by a camera; passenger destination data communicated via the user terminal. Wherein, station equipment basic data includes following fields: device name, device ID, device location, device status, alert content, alert level.
102. And storing the original data to be processed into a buffer area, and storing the processed data into a storage module after the module to be analyzed is processed.
103. The original data which is stored in the buffer area and needs to be analyzed and processed is put into an analysis module for processing, and the following submodules are needed to be passed according to the flow:
1031. signaling and historical data analysis module: the method comprises the steps of analyzing mobile phone signaling data, judging whether a user possibly goes to a subway station according to direction data of the mobile phone signaling data, judging whether the user regularly travels according to historical signaling data of the same time period on different dates, for example, going on duty, and judging the destination of the passenger traveling at the current moment in a large probability when the coincidence of the signaling data is queried for a plurality of times in the same time period.
1032. Flight information analysis module: analyzing the flight data and the passenger data obtained by the flight information acquisition interface, and analyzing the possible destination to which the passenger can go, for example, the situation that the passenger can judge that the passenger will get off at an airport station when the passenger has an air ticket in a future time period; when a passenger returns, the subway is taken as a starting scheme, and the travel mode of the passenger is judged to be the subway when the returning time period is in the operation time period of the subway.
1033. And a video analysis module: and analyzing the number of people in the current picture through a face recognition algorithm by using a real-time picture captured by a camera, and obtaining the passenger flow, the congestion event, the average residence time, the thermodynamic diagram, the ocean current diagram and the alarm event after removing the overlapping area.
1034. And the comprehensive analysis module is used for: the three sub-modules are combined with passenger destination data transmitted through the user terminal to comprehensively judge the predicted trend of the incoming and outgoing passenger flow, the transfer passenger flow and the possible congestion event of the future time line.
104. And the storage module is used for storing the processed standard data, and the data is stored through an oracle database. The stored data table comprises a passenger flow table established for different stations, a mobile phone signaling data table established for each passenger, a station equipment basic data table and monitoring video content.
The visual system is respectively arranged at the dispatching center, the station hall and the station hall layer, wherein the visual system of the station hall station platform layer only comprises a 3d map navigation module and a calling manual service module. After the passenger sends the navigation request through the user terminal, the planned route is displayed in the 3d model of the display screen of the user terminal, and multi-floor navigation is supported.
When deployed in a dispatching center, the visualization system is used for displaying the staff coordinate data, the passenger navigation data and the standard information processed by the analysis module on a 3d map. The 3d map is a high-precision 3d model established by a digital twin technology; the monitoring camera picture is embedded into the 3d model, an employee can check a real-time picture and a history picture of the target point by clicking, and the monitoring picture is projected on the model in a 3d projection hidden mode.
After the analysis result of the analysis module is fetched, the comprehensive situation analysis of the current station is displayed on a 3d map, wherein the comprehensive situation analysis comprises passenger flow, congestion events, average stay time, thermodynamic diagram, ocean current diagram, alarm events, incoming and outgoing station passenger flow prediction trend, transfer passenger flow, real-time passenger flow comparison, equipment management and control and employee position. The contents displayed above all support to be viewed according to the time axis, and support to be displayed simultaneously on a multi-floor platform.
The foregoing has outlined rather broadly the more detailed description of the present application and the principles and embodiments of the present application have been presented in terms of specific examples, which are provided herein to assist in the understanding of the method and core concepts of the present application; meanwhile, as those skilled in the art will have modifications in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.
Claims (9)
1. The rail transit regional passenger flow monitoring and analyzing system based on multimode traffic is characterized by comprising two servers, a plurality of employee terminals, a plurality of user terminals, an access module, a cache module, a storage module, an analyzing module and a visualization module, wherein:
the server is arranged in a subway dispatching center room and is used for providing a data receiving, data storage, data analysis, pedestrian navigation and visual management system;
the staff terminal is used for acquiring the position data of the station staff and can communicate with the server in real time, and the staff positioning data are displayed on the three-dimensional digital twin map of the current station.
The user terminal is characterized in that the information of the location and the target location of the passenger is communicated with a server in real time, and a navigation route is given by the server;
the access module is used for obtaining the original data from the multi-mode data source;
the analysis module is used for processing the original data;
the buffer memory module is used for storing newly added original data, and after the original data is processed by the analysis module, the data is stored in the storage module;
the storage module is used for storing the processed standard data;
the visual system is used for displaying the staff coordinate data, the passenger navigation data and the standard information processed by the analysis module on the three-dimensional digital twin map.
2. The multimode traffic-based rail transit regional passenger flow monitoring and analyzing system according to claim 1, wherein the employee terminal obtains employee positioning data by interfacing with a bluetooth AOA system.
3. The multi-mode traffic-based rail traffic regional passenger flow monitoring and analyzing system according to claim 1, wherein the user terminal has a dynamic map display screen which is an LCD touch screen, and can input information through voice of a passenger or a touch screen keyboard, so that the information of the passenger location and the target location can be communicated with the server in real time.
4. The multi-modal traffic-based rail traffic regional passenger flow monitoring and analysis system of claim 1, wherein the multi-modal data source comprises:
interfacing with an FEP system interface through a modbus protocol, receiving SSIP real-time library point location data, and obtaining station equipment basic data;
acquiring signaling data of a mobile phone user through a signal transmitting base station;
acquiring flight data and passenger data through a flight information acquisition interface;
video data acquired by a camera;
passenger destination data communicated via the user terminal.
5. The multi-mode traffic-based rail traffic regional passenger flow monitoring and analyzing system according to claim 1, wherein the analyzing module comprises the following sub-modules:
signaling and historical data analysis module: analyzing the mobile phone signaling data, and analyzing the possible destination and trip mode of the passenger by combining the historical signaling data;
flight information analysis module: analyzing the possible destination of the passenger through the flight data and the passenger data obtained by the flight information obtaining interface;
and a video analysis module: and analyzing the real-time images captured by the camera to obtain the passenger flow, the congestion event, the average residence time, the thermodynamic diagram, the ocean current diagram and the alarm event.
And the comprehensive analysis module is used for: the three sub-modules and the passenger destination data transmitted by the user terminal are used for comprehensively judging the prediction trend of the passenger flow entering and exiting the station, the passenger flow and the possible congestion event of the future time line.
6. The multi-mode traffic-based rail traffic regional passenger flow monitoring and analyzing system of claim 1, wherein the storage module comprises the following features:
the data is stored by an oracle database;
the stored data table comprises a passenger flow table established for different stations, a mobile phone signaling data table established for each passenger, a station equipment basic data table and monitoring video content.
7. The multi-mode traffic-based rail transit regional passenger flow monitoring and analyzing system of claim 1, wherein the visualization module comprises the following characteristics:
a high-precision 3d model established by a digital twin technology;
the monitoring camera picture is embedded into the 3d model, and an employee can check a real-time picture and a history picture of the target point by clicking.
When the visualization module is used for visualizing the management system, after the analysis result of the analysis module is called, the comprehensive situation analysis of the current station is displayed on a 3d map, wherein the comprehensive situation analysis comprises passenger flow, congestion events, average residence time, thermodynamic diagrams, ocean flow diagrams, alarm events, incoming and outgoing passenger flow prediction trends, transfer passenger flows, real-time passenger flow comparison, equipment management and control and employee positions. The contents displayed above all support to be viewed according to the time axis, and support to be displayed simultaneously on a multi-floor platform.
And the visualization module displays the planned route in a 3d model of a display screen of the user terminal after sending a navigation request through the user terminal, so as to support multi-floor navigation.
8. An employee terminal as in claim 2, wherein the employee terminal is a cell phone.
9. Station equipment base data according to claim 4, characterized by comprising the following fields: device name, device ID, device location, device status, alert content, alert level.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311679428.9A CN117764800A (en) | 2023-12-08 | 2023-12-08 | Rail transit regional passenger flow monitoring and analyzing system based on multimode traffic |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202311679428.9A CN117764800A (en) | 2023-12-08 | 2023-12-08 | Rail transit regional passenger flow monitoring and analyzing system based on multimode traffic |
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| CN117764800A true CN117764800A (en) | 2024-03-26 |
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| CN202311679428.9A Pending CN117764800A (en) | 2023-12-08 | 2023-12-08 | Rail transit regional passenger flow monitoring and analyzing system based on multimode traffic |
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| CN (1) | CN117764800A (en) |
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- 2023-12-08 CN CN202311679428.9A patent/CN117764800A/en active Pending
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