Subway station pedestrian emergency evacuation system and method based on identification guidance

Abstract

The invention relates to a subway station pedestrian emergency evacuation system and method based on identification guidance, in particular to a dynamic identification guidance system optimized in combination with Legon simulation software. According to the system, a dynamic identification device is deployed in a subway station, Legon simulation software is combined to simulate and analyze people flow in the station in real time, and an optimal evacuation path is provided. In an emergency, the system dynamically adjusts the guiding direction of the evacuation identification by using simulation data and environment monitoring information. Legion simulation software can accurately simulate driving behaviors of passengers in different environments and under different congestion conditions, so that the accuracy of an evacuation scheme is improved. Through a simulation test, the system can significantly reduce the evacuation time, improve the evacuation speed, optimize the distribution of personnel in the station, reduce the residence time in a high-density area, and ensure the safe evacuation of passengers in an emergency.

Description

Technical Field

[0001] The present invention relates to the technical field of emergency evacuation, and in particular to a pedestrian emergency evacuation system and method based on sign guidance, which is applicable to emergency evacuation management in large crowded places such as subway stations, airports, and competition venues. Background Art

[0002] In large transportation hubs and public places, sudden emergencies such as fires, explosions, natural disasters, etc. may cause a large number of people to gather, which in turn causes panic and congestion, increasing the difficulty and danger of evacuation. At present, traditional fixed signs have limitations in emergency evacuation. They cannot adjust evacuation instructions according to real-time environmental changes and are prone to misleading. In addition, existing emergency evacuation systems often lack real-time monitoring and simulation analysis of dynamic changes in passenger flow, and cannot quickly generate the optimal evacuation route. In order to solve this problem, the present invention proposes a pedestrian emergency evacuation traffic simulation system that combines dynamic signs and simulation technology, which can adjust the evacuation plan in real time and provide an efficient and safe evacuation path. Summary of the invention

[0003] The present invention proposes a pedestrian emergency evacuation traffic simulation system based on sign guidance, aiming to solve the problems of slow response, lack of dynamic adjustment capability and low evacuation efficiency of fixed sign systems in existing emergency evacuation schemes. The system combines environmental monitoring, simulation and dynamic sign guidance to achieve efficient evacuation management in emergency situations in subway stations, airports, competition venues and other areas with large passenger flow, ensuring the safety of passengers.

[0004] The system of the present invention consists of the following main modules:

[0005] 1. Environmental monitoring module

[0006] The environmental monitoring module is the basic data source of the system, which is used to collect the environment and dynamic information of people flow in the station in real time. The module monitors the passenger distribution, dynamic flow, density, temperature change and fire smoke in the station in real time through cameras, infrared sensors, pressure sensors and smoke detectors arranged in subway stations or other transportation hubs. The monitoring data is transmitted to the data processing module through the data transmission network to provide support for subsequent simulation and dynamic identification adjustment.

[0007] This module can quickly respond to emergency events, such as fires and explosions, by capturing environmental change information in real time, providing a decision-making basis for the system to promptly initiate an evacuation plan.

[0008] 2. Legion Simulation Module

[0009] The Legion simulation module is one of the core technologies of this invention, focusing on simulating pedestrian behavior and path selection in emergency evacuation scenarios. The module generates high-precision evacuation simulations by inputting real-time monitoring data and basic information such as station facility layout, channel width, and staircase location. The Legion simulation software can predict the effects of different evacuation plans, including evacuation time, path selection, density distribution, etc., based on crowd density, pedestrian speed, regional congestion, and exit distribution.

[0010] The advantages of this module are its high accuracy and applicability. It can dynamically respond to the input of real-time data and quickly adjust the simulation results, thereby providing optimized evacuation path planning for subsequent modules. The simulation results can also evaluate the effectiveness of the current evacuation strategy and assist the dynamic identification guidance module in making real-time adjustments.

[0011] 3. Dynamic identification guidance module

[0012] The dynamic sign guidance module provides passengers with real-time updated evacuation guidance through electronic signs, LED screens or ground projection systems deployed in the station. The module is linked with the Legion simulation module and the environmental monitoring module to dynamically adjust the sign display content, including exit locations, evacuation directions and emergency avoidance tips, based on real-time data and simulation analysis results.

[0013] Unlike traditional fixed signs, the dynamic sign guidance module can quickly adjust the evacuation route in response to emergencies (such as congestion in a certain channel or unavailable exits), avoiding misleading or congestion caused by fixed signs. In addition, the module can display multi-language or graphical instructions to meet the needs of different groups of people and improve evacuation efficiency.

[0014] 4. Path planning module

[0015] The path planning module is the decision-making core of the system. It combines environmental monitoring data and Legion simulation results to generate the optimal evacuation path for passengers. The module can dynamically plan evacuation routes based on the actual layout of the station, personnel distribution, evacuation goals and event types, and supports path adjustments for multiple emergency scenarios (such as fire, earthquake, panic congestion, etc.).

[0016] In actual applications, the route planning module can generate multiple evacuation plans based on the real-time location of passengers and the status of equipment and facilities in the station (such as stairs, elevators, passages, etc.), and automatically select the optimal route based on real-time changes in passenger flow. At the same time, the module can also predict high-density areas that may appear in the future and optimize evacuation plans in advance.

[0017] 5. Data processing module

[0018] The data processing module is used to receive and integrate various data from the environmental monitoring module and the Legion simulation module, and analyze and calculate key parameters such as pedestrian density, evacuation time, and flow distribution. Through real-time data processing, the module can predict possible bottleneck areas and dynamically adjust the evacuation strategy.

[0019] The data processing module is also responsible for working with the dynamic sign guidance module and the path planning module to optimize the sign display content based on real-time analysis results to ensure that every passenger can quickly identify and follow a safe evacuation path. In addition, the data processing module also provides storage and analysis of historical evacuation data to provide a basis for subsequent system optimization.

[0020] When an emergency occurs, the back-end management system supports remote control of dynamic identification and real-time adjustment of evacuation strategies. In addition, the system can generate emergency event reports to help relevant departments analyze the course of the event and evacuation efficiency, and to be used for future safety improvements and facility optimization.

[0021] Advantages of the present invention:

[0022] 1. Real-time dynamics: The system can dynamically adjust evacuation signs and path planning based on environmental monitoring and simulation data to ensure that the evacuation plan is consistent with the actual situation on site.

[0023] 2. High-precision simulation: With the help of Legion simulation software, this system can accurately simulate the behavior of pedestrians in congestion and emergency situations, and generate scientific and efficient evacuation strategies.

[0024] 3. Rapid response capability: The system can quickly identify emergencies and initiate emergency evacuation plans, effectively reducing the time passengers stay in dangerous areas.

[0025] 4. Strong flexibility: Through dynamic identification and multi-path planning, the system is suitable for a variety of complex scenarios such as subway stations, airports, and competition venues, and can respond to different types of emergencies.

[0026] 5. Optimize efficiency: The system continuously optimizes evacuation strategies and improves the overall efficiency of emergency management through analysis and feedback of historical data. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 The overall architecture of the pedestrian emergency evacuation traffic simulation system based on sign guidance of the present invention is shown; Figure 2 It shows how the environmental monitoring modules are arranged in the subway station;

[0028] Figure 3 A schematic diagram of the scenario modeling for the Legion simulation module;

[0029] Figure 4The hardware layout of the dynamic identification guidance module is demonstrated;

[0030] Figure 5 The workflow of the path planning module is shown;

[0031] Figure 6 This is a schematic diagram of the real-time analysis results of the data processing module on passenger distribution and congestion;

[0032] Figure 7 This is a simulation effect diagram of the system in an emergency evacuation scenario.

[0033] The above drawings and descriptions can clearly demonstrate the design details and working principles of the system of the present invention, as well as its advantages and effects in practical applications. DETAILED DESCRIPTION

[0034] In order to make the purpose, technical solution and advantages of the present invention clearer and more specific, the present invention is further described in detail with reference to the accompanying drawings and in combination with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0035] 1. Overall system architecture

[0036] See also Figure 1 The system is mainly composed of environmental monitoring module, Legion simulation module, dynamic identification guidance module, path planning module, data processing module and back-end management system. The modules interact with each other through the data transmission network to collaboratively complete the monitoring, simulation, planning and guidance of emergency evacuation.

[0037] In one embodiment, the pedestrian emergency evacuation traffic simulation system based on sign guidance of the present invention is composed of the following modules: environment monitoring module, Legion simulation module, dynamic sign guidance module, path planning module, data processing module and back-end management system. These modules are linked and coordinated through a data transmission network to achieve real-time monitoring, simulation analysis, dynamic guidance and path optimization of pedestrian emergency evacuation.

[0038] 2. Implementation of environmental monitoring module

[0039] See also Figure 2 The environmental monitoring module includes cameras, smoke detectors, infrared sensors and other equipment installed at platforms, entrances and exits, passages and transfer areas. The data collected by these devices are transmitted wirelessly to the data processing module, reflecting the passenger distribution and environmental status in the station in real time.

[0040] In one embodiment, the environment monitoring module includes multiple sensors and cameras for real-time collection of passenger distribution and environmental change data within the station. The specific implementation is as follows

[0041] Step 1: Install cameras in key areas of subway stations such as platforms, stairs, entrances and exits, and transfer passages to monitor crowd density and dynamic flow information;

[0042] Step 2: Deploy infrared sensors and pressure sensors to detect crowd density and channel congestion;

[0043] Step 3: Install smoke detectors and temperature and humidity sensors to detect fire or other environmental anomalies;

[0044] Step 4: All data are sent to the data processing module via wireless transmission (such as Wi-Fi or 5G network) for real-time analysis.

[0045] When sensors or cameras detect an emergency event (such as fire smoke or abnormal congestion), the environmental monitoring module will immediately generate an alarm signal and transmit it to other modules of the system to initiate an emergency response.

[0046] 3. Implementation of Legion Simulation Module

[0047] See also Figure 3 and Figure 7 The Legion simulation module uses real-time monitoring data to build a dynamic simulation model and predict the effects of different evacuation plans:

[0048] Step 1: Scenario modeling: The module creates a 3D simulation scenario based on the actual layout of the station, including information such as platforms, stairs, passages, and entrances and exits;

[0049] Step 2: Data input: Input the data such as passenger distribution, density and event location provided by the environmental monitoring module into the simulation model;

[0050] Step 3: Behavioral simulation: simulate the behavioral characteristics of pedestrians in emergency situations, including path selection, congestion response and travel speed;

[0051] Step 4: Result output: The module generates multiple evacuation plans and outputs the corresponding evacuation time, path smoothness and regional density distribution to provide decision-making basis for the path planning module.

[0052] For example, in a fire scenario in a subway station, the Legion simulation module can simulate passengers’ reactions and movement paths, predict which passages may be severely congested, and optimize evacuation plans.

[0053] In one embodiment, according to the actual layout of the subway station, the simulation model includes elements such as platforms, stairs, entrances and exits, transfer passages, and evacuation passages. The flow of people in the model is represented in the form of dynamic virtual entities, and the evacuation behavior in an emergency state is simulated through changes in density, speed, and travel path.

[0054] 4. Implementation of dynamic identification guidance module

[0055] See also Figure 4 The dynamic signage guidance module provides passengers with optimal evacuation guidance through real-time updated electronic display devices:

[0056] Step 1: Hardware deployment: Install LED screens, electronic signboards or ground projection devices at the main passages and exits of the station;

[0057] Step 2: Content display: The identification device indicates the recommended evacuation route through green arrows, and red symbols mark closed or congested areas;

[0058] Step 3: Real-time update: Dynamically adjust the sign content based on the analysis results of the Legion simulation module. For example, when a channel is congested, the sign will automatically update the evacuation path pointing to the alternate channel.

[0059] The dynamic sign guidance module can significantly reduce the time passengers spend in high-density areas and avoid inefficient evacuation caused by misleading fixed signs.

[0060] In one embodiment, LED screens, electronic signboards and ground projection devices are set up at key locations (such as platforms, channel entrances and exits). In the attached drawings, green arrows are used to indicate dynamically updated evacuation paths, and red symbols are used to indicate closed channels or inaccessible areas.

[0061] 5. Implementation of the path planning module

[0062] See also Figure 5 ,The path planning module generates the optimal evacuation plan by combining environmental monitoring data and simulation results:

[0063] Step 1: Plan multiple evacuation routes based on passenger distribution, exit locations, and channel status;

[0064] Step 2: Evaluate each route, including evacuation time, patency, and safety, and prioritize the most efficient option;

[0065] Step 3: During the evacuation process, the movement of passengers is monitored in real time and the recommended route is adjusted dynamically;

[0066] When a certain path is severely congested, the module will immediately activate the backup plan to divert people to other channels.

[0067] For example, in an emergency, the route planning module will prioritize guiding passengers to the nearest exit while avoiding excessive concentration of traffic on a single route.

[0068] In one embodiment, the path planning module includes four steps: data input, path calculation, solution selection and dynamic update. The module generates multiple evacuation paths by receiving environmental monitoring data and simulation results, and dynamically adjusts the recommended paths to adapt to real-time changes.

[0069] 6. Implementation of data processing module

[0070] See also Figure 6 The data processing module receives and integrates data from the environmental monitoring module and the Legion simulation module to complete the following tasks:

[0071] Step 1: Generate a real-time passenger distribution heat map and mark high-density areas;

[0072] Step 2: Predict possible bottleneck areas and adjust evacuation strategies in advance;

[0073] Step 3: Send the analysis results to the dynamic identification guidance module and path planning module to optimize evacuation guidance and path recommendations in real time.

[0074] For example, when the density in a certain area reaches a dangerous threshold, the data processing module will immediately send a signal to dynamically adjust the evacuation plan.

[0075] In one embodiment, the passenger density of each area in the station is displayed in the form of a heat map, where red areas are high-density areas and blue areas are low-density areas. After the module analyzes these data, it transmits the results to the path planning module and the dynamic sign guidance module.

[0076] Figure 7 The figure shows the trajectory of passengers along the recommended path during the evacuation process. The green line indicates the fast-pass path, and the red line indicates the congested path or the wrong path. Through the linkage of the Legion simulation module and the dynamic identification guidance module, the system effectively guides passengers to the safe exit.

[0077] Implementation effect description:

[0078] Through the above embodiments, the present invention can achieve efficient emergency evacuation management in places with large passenger flow such as subway stations, significantly shorten the evacuation time, optimize the passenger flow path, reduce the risk of detention in high-density areas, and ensure passenger safety.

Claims

1. A pedestrian emergency evacuation system for subway stations based on sign guidance, characterized in that: Includes the following modules: Environmental monitoring module: The environmental monitoring module is used to collect and monitor environmental data in crowded areas in real time. The environmental monitoring module collects environmental information through sensors and cameras. The monitoring data is transmitted to the data processing module through the data transmission system, and provides real-time support for dynamic evacuation guidance. Simulation module: The simulation module uses simulation software to simulate pedestrian evacuation behavior in different crowded scenarios, including escape route selection and decision-making behavior in emergency situations. The simulation software generates pedestrian evacuation strategies by inputting current environmental monitoring data, station facility layout, and passenger distribution. The simulation results include evacuation time, route selection, and stay area, helping the system optimize sign guidance methods. Dynamic identification guidance module: The dynamic sign guidance module dynamically updates the sign guidance direction in the station according to the evacuation path provided by the simulation module and the real-time monitored environmental data; through the screen or electronic signboard, the dynamic sign guidance module can change the evacuation path indication in real time to avoid misleading caused by fixed signs; dynamic signs guide passengers to choose the best route according to the changes on the scene; Path planning module: The path planning module is responsible for generating evacuation plans based on real-time environmental information and simulation analysis results; The route planning module plans multiple evacuation routes based on different emergency events, combined with the building layout, facility conditions and crowd distribution in the station, and guides passengers through dynamic signs; the route planning will be adjusted in real time according to the flow of passengers; Data processing module: The data processing module is responsible for receiving and integrating data from the environmental monitoring module and the simulation module for analysis and processing; the data processing module dynamically adjusts the evacuation strategy and sign content by calculating the density, speed, and dwell time of passengers.

2. The system according to claim 1, characterized in that The simulation module evaluates the effectiveness of evacuation strategies and evacuation time by simulating the behavior of pedestrians in different crowded environments and emergency situations.

3. The system according to claim 2, characterized in that The simulation module conducts simulation analysis by inputting different environmental variables, including the number of passengers in the station, regional congestion, and pedestrian reactions after different emergency events. The simulation module evaluates the effectiveness of different evacuation strategies and calculates the evacuation time and pedestrian density distribution of each evacuation route.

4. The system according to claim 1, characterized in that The dynamic sign guidance module can automatically adjust the display content of the evacuation sign according to the dynamic changes of the flow of people.

5. The system according to claim 4, characterized in that The dynamic sign guidance module automatically adjusts the display content of the station signs, including arrow direction and exit guidance, based on real-time monitoring data and simulation results. The dynamic sign guidance module changes the display of signs in real time through sensors and simulation feedback, ensuring that passengers can respond quickly according to the latest evacuation plan and avoid route selection errors caused by following the wrong fixed signs.

6. The system according to claim 1, characterized in that The path planning module can provide a variety of evacuation plans according to different emergency situations, ensuring the flexibility and safety of the evacuation routes.

7. The system according to claim 6, characterized in that The path planning module not only generates conventional evacuation routes, but also dynamically generates the optimal evacuation route according to different emergency situations; the multi-path planning function of the path planning module ensures that passengers can be safely evacuated through a variety of alternative routes in different emergency scenarios, and can make timely adjustments when the route is congested.

8. The system according to claim 1, characterized in that The data processing module predicts upcoming congested or dangerous areas, issues early warnings and takes guiding measures.

9. A pedestrian emergency evacuation method in a subway station based on sign guidance, characterized in that: The environmental monitoring module collects and monitors environmental data in crowded areas in real time; collects environmental information through sensors and cameras; transmits monitoring data to the data processing module through the data transmission system, and provides real-time support for dynamic evacuation guidance; The simulation software is used to simulate pedestrian evacuation behaviors in different crowded scenarios, including escape route selection and decision-making behaviors in emergency situations. The simulation software generates pedestrian evacuation strategies by inputting current environmental monitoring data, station facility layout, and passenger distribution. The simulation results include evacuation time, route selection, and stay area, helping the system optimize sign guidance methods. According to the evacuation route provided by the simulation module and the real-time monitored environmental data, the signs and directions in the station are dynamically updated; the evacuation route instructions are changed in real time through screens or electronic signs to avoid misleading information caused by fixed signs; dynamic signs guide passengers to choose the best route according to changes on site; Generate evacuation plans based on real-time environmental information and simulation analysis results; plan multiple evacuation routes based on different emergency events, combined with the building layout, facility conditions and crowd distribution in the station, and guide passengers through dynamic signs; adjust route planning in real time based on passenger flow; Receive and integrate data from environmental monitoring and simulation, and analyze and process it; dynamically adjust evacuation strategies and sign content by calculating passenger density, speed, and dwell time.

10. The method according to claim 9, characterized in that Receiving and integrating data from the environmental monitoring module and the simulation module for analysis and processing includes the following steps: Step 1: Generate a real-time passenger distribution heat map and mark high-density areas; Step 2: Predict possible bottleneck areas and adjust evacuation strategies in advance; Step 3: Send the analysis results to the dynamic identification guidance module and path planning module to optimize evacuation guidance and path recommendations in real time.

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