CN-121998520-A - Rail transit fire emergency evacuation simulation analysis method and system

CN121998520ACN 121998520 ACN121998520 ACN 121998520ACN-121998520-A

Abstract

The invention discloses a simulation analysis method and a system for fire emergency evacuation of rail transit, and relates to the technical field of simulation analysis of fire evacuation, wherein the method comprises the steps of collecting three-dimensional space structure data, fire scene parameters and initial passenger distribution data of a target rail transit station; constructing an evacuation simulation model of intelligent body passengers; the method comprises the steps of generating dynamic fire risk field data, coupling the dynamic fire risk field data with an evacuation simulation model to construct an evacuation simulation operation result, carrying out track identification on intelligent body passengers to construct an evacuation path optimization suggestion, and solving the technical problems that in the prior art, the rail transit fire emergency evacuation simulation scene is not accurately restored, and path decision is not combined with dynamic risk and personnel interaction, so that the safety and efficiency of emergency evacuation are insufficient, and the technical effects of realizing accurate simulation of the evacuation process and optimization of the evacuation path in the rail transit fire scene and improving the safety and efficiency of emergency evacuation are achieved.

Inventors

Zhu Tongxi
ZHANG KAI
XIAO LUYAO
MENG XU
YANG YUAN
LIU BO
ZHANG CHANGMING
LI JUANJUAN
XU WENJIE
LIU HAIYANG

Assignees

徐州地铁集团有限公司

Dates

Publication Date: 20260508
Application Date: 20260127

Claims (10)

1. The rail transit fire emergency evacuation simulation analysis method is characterized by comprising the following steps of: acquiring three-dimensional space structure data of a target rail transit station, fire scene parameters and initial passenger distribution data; constructing an intelligent agent passenger evacuation simulation model based on the three-dimensional space structure data and the initial passenger distribution data; Loading the fire scene parameters to dynamically simulate the fire development process and generating dynamic fire risk field data; coupling the dynamic fire risk field data with the evacuation simulation model, driving the intelligent agent passengers to make path decisions, and constructing evacuation simulation running results; And carrying out track identification on intelligent body passengers based on the evacuation simulation running result, generating an individual passenger track data set, carrying out dynamic path analysis, and constructing evacuation path optimization suggestions.
2. The method for simulated analysis of rail transit fire emergency evacuation as claimed in claim 1, wherein three-dimensional space structure data, fire scene parameters, and initial passenger distribution data of a target rail transit station are collected, the method comprising: panoramic scanning is carried out on the target track traffic site through a three-dimensional laser scanner, and three-dimensional point cloud data are obtained; Denoising registration is carried out based on the three-dimensional point cloud data, and a three-dimensional point cloud model is constructed; Building identification is carried out by traversing a target rail transit station, key structural elements are extracted, the key structural elements are mapped to the three-dimensional point cloud model, and three-dimensional space structural data are constructed; Performing fire risk assessment based on the three-dimensional point cloud model, presetting a plurality of potential ignition positions for performing fire source power analysis, and drawing a fire source power increase curve; Carrying out ventilation and smoke discharge identification based on the three-dimensional point cloud model, and determining site environment ventilation conditions; Mapping the fire source power growth curve to a plurality of potential fire starting positions according to the site environment ventilation conditions to construct fire scene parameters; And carrying out passable analysis based on the three-dimensional space structure data, constructing a passable space, mapping historical passenger flow data introduced into a target rail transit station to the passable space for space distribution, and generating the initial passenger distribution data.
3. The method for simulating analysis of emergency evacuation of fire in rail transit according to claim 2, wherein the method comprises constructing a simulation model of evacuation of intelligent agent passengers based on the three-dimensional space structure data and the initial passenger distribution data, and comprises: performing discretization grid processing on the three-dimensional space structure data to construct an evacuation network topological graph; performing environment initialization on a target track traffic site based on the evacuation network topological graph, and constructing a basic environment space unit; Mapping the initial passenger distribution data to an evacuation network topology map one by one according to the basic environment space unit, and constructing a plurality of intelligent agent passengers; Traversing the plurality of intelligent agent passengers to perform attribute configuration, and generating a plurality of groups of individual attribute parameters, wherein the plurality of groups of individual attribute parameters have corresponding relations with the plurality of intelligent agent passengers; setting a plurality of simulation time steps, and calculating based on the plurality of intelligent agent passengers and the plurality of groups of individual attribute parameters according to the plurality of simulation time steps to obtain a space proximity relation; Mapping according to a plurality of intelligent agent passengers based on the spatial proximity relation to construct a neighborhood list; Performing dynamic interaction analysis according to the simulation time steps based on the neighborhood list to construct a dynamic interaction network; and adding the dynamic interaction network to an evacuation simulation model of the intelligent agent passengers.
4. A rail transit fire emergency evacuation simulation analysis method as claimed in claim 3, wherein a plurality of simulation time steps are set, calculation is performed based on the plurality of agent passengers in combination with the plurality of groups of individual attribute parameters according to the plurality of simulation time steps, and a spatial proximity relationship is obtained, the method comprising: traversing the intelligent agent passengers to match with the simulation time steps to obtain a plurality of matching identifiers; mapping the plurality of groups of individual attribute parameters to a basic environment space unit based on the plurality of matching identifications, and determining unit coordinates of a plurality of intelligent agent passengers; performing distance calculation on the unit coordinates of the intelligent agent passengers to obtain a plurality of coordinate Euclidean distances; performing distance identification arrangement on the intelligent agent passengers according to the plurality of coordinate Euclidean distances to construct a global distance matrix; And carrying out proximity analysis on a plurality of intelligent agent passengers based on the global distance matrix to obtain a spatial proximity relation.
5. A rail transit fire emergency evacuation simulation analysis method as claimed in claim 3, wherein loading the fire scene parameters dynamically simulates a fire development process to generate dynamic fire risk field data, the method comprising: Performing physical field simulation based on the fire scene parameters to construct a fire physical field engine; Performing space matching on a target rail transit station based on the fire disaster physical field engine to generate a calculation domain network; Mapping the plurality of potential fire positions to a calculation domain network for driving simulation to obtain fire disaster space-time distribution data; Performing risk assessment based on the fire disaster space-time distribution data to construct a dynamic fire risk factor; mapping the dynamic fire risk factors to the evacuation network topological graph for data association, and generating dynamic fire risk field data.
6. The method of rail transit fire emergency evacuation simulation analysis of claim 5, wherein mapping the dynamic fire risk factor to the evacuation network topology map for data correlation generates dynamic fire risk field data, the method comprising: performing spatial coordinate association analysis based on the calculation domain network and the evacuation network topological graph, and constructing a spatial coordinate mapping relation; Distributing the dynamic fire risk factors to an evacuation network topological graph according to the spatial interpolation according to the spatial coordinate mapping relation to obtain a spatial interpolation result; Performing traffic assessment based on the evacuation network topological graph, and constructing initial traffic capacity attribute data; And according to the spatial interpolation result, correlating the dynamic fire risk factor with the initial traffic capacity attribute data to generate the dynamic fire risk field data.
7. The method for analyzing the emergency evacuation simulation of the rail transit fire disaster, as set forth in claim 5, wherein the dynamic fire risk field data is coupled with the evacuation simulation model to drive the intelligent agent passengers to make a path decision, and an evacuation simulation operation result is constructed, the method comprising: performing personnel density calculation based on the initial passenger distribution data, and constructing personnel density influence factors; Mapping the dynamic fire risk field data to the evacuation network topological graph based on a plurality of time simulation step sizes to perform pass calculation, so as to obtain an initial pass cost value; the weighted summation is carried out based on the personnel density influence factor, the initial passing cost value and the dynamic fire risk factor, so that the comprehensive passing cost value is obtained; driving the intelligent agent passengers to simulate based on the comprehensive passing cost value to generate a plurality of movement intents; Performing movement conflict analysis according to the plurality of movement intents, and extracting discrete conflict events; mapping the discrete conflict event to the evacuation network topological graph to carry out path decision, and constructing the evacuation simulation operation result.
8. The method for analyzing the emergency evacuation simulation of the rail transit fire disaster as claimed in claim 7, wherein the discrete conflict events are mapped to the evacuation network topology to make path decisions, and the evacuation simulation running result is constructed, and the method comprises the following steps: constructing a conflict arbiter, and calculating and arbitrating discrete conflict events through the conflict arbiter to generate a mobile intention modification instruction; Performing movement analysis on a plurality of intelligent agent passengers through the movement intention modification instruction to generate a plurality of alternative target units; updating a plurality of movement intents according to the plurality of candidate target units to generate a passenger target movement intention; verifying the passenger target movement intention, and executing the passenger target movement intention to perform path simulation when the passenger target movement intention passes the verification, so as to construct time sequence positions of a plurality of intelligent passengers; and adding the time sequence positions of the intelligent agent passengers to the evacuation simulation running result.
9. The method for analyzing the rail transit fire emergency evacuation simulation according to claim 8, wherein the method comprises the steps of performing track identification on intelligent passengers based on the evacuation simulation operation result, generating an individual passenger track data set for dynamic path analysis, and constructing an evacuation path optimization suggestion: Performing state analysis based on the time sequence positions of the plurality of intelligent agent passengers to obtain space-time state record data of the plurality of intelligent agent passengers; track structuring is carried out based on the time sequence positions and the time-space state record data, and a plurality of track chains are constructed; Carrying out data enhancement on the track chains to construct an individual passenger track data set; Performing space-time clustering based on the passenger individual track data set to generate a plurality of space-time clustering clusters; dynamically excavating according to the space-time clustering clusters, and identifying a plurality of fire scene evacuation path modes, wherein the plurality of fire scene evacuation path modes comprise a main stream evacuation path mode, a secondary path mode and an abnormal path mode; Performing safety evaluation on the main flow evacuation path mode, the secondary path mode and the abnormal path mode based on the evacuation network topological graph and the dynamic fire risk field data, and generating a safety diagnosis report; And carrying out evacuation guidance on a target rail transit station according to the safety diagnosis report in combination with the main stream evacuation path mode, the secondary path mode and the abnormal path mode, and constructing an evacuation path optimization suggestion.
10. A rail transit fire emergency evacuation simulation analysis system for implementing a rail transit fire emergency evacuation simulation analysis method as claimed in any one of claims 1 to 9, the system comprising: the data acquisition module is used for acquiring three-dimensional space structure data, fire scene parameters and initial passenger distribution data of the target rail transit station; The evacuation simulation model construction module is used for constructing an evacuation simulation model of the intelligent agent passenger based on the three-dimensional space structure data and the initial passenger distribution data; The dynamic fire risk field data generation module is used for loading the fire scene parameters to dynamically simulate the fire development process and generate dynamic fire risk field data; The evacuation simulation running result construction module is used for coupling the dynamic fire risk field data with the evacuation simulation model, driving the intelligent agent passengers to make path decisions and constructing an evacuation simulation running result; The evacuation path optimization suggestion construction module is used for carrying out track identification on intelligent body passengers based on the evacuation simulation running result, generating an individual passenger track data set for carrying out dynamic path analysis, and constructing an evacuation path optimization suggestion.

Description

Rail transit fire emergency evacuation simulation analysis method and system Technical Field The invention relates to the technical field of fire evacuation simulation analysis, in particular to a rail transit fire emergency evacuation simulation analysis method and system. Background Along with the rapid expansion of the rail transit network and the continuous increase of the passenger flow, the safety and the efficiency of the emergency evacuation of the fire disaster of the rail transit station become key issues in the urban public safety field. Meanwhile, the traditional method does not fully integrate dynamic factors such as real-time fire risks, personnel density distribution and the like in path decisions, and lacks deep analysis on evacuation tracks, so that the generated evacuation scheme is not enough in optimality, is difficult to effectively cope with emergency evacuation requirements in complex fire scenes, and has the problems of inaccurate evacuation guidance, incomplete potential safety hazard investigation and the like. In the prior art, the recovery of the rail transit fire emergency evacuation simulation scene is inaccurate, and the path decision is not combined with the interaction of dynamic risks and personnel, so that the technical problems of insufficient safety and efficiency of emergency evacuation are caused. Disclosure of Invention The application provides a simulation analysis method and a simulation analysis system for emergency evacuation of a rail transit fire disaster, which are used for solving the technical problems of insufficient safety and efficiency of emergency evacuation caused by inaccurate recovery of a simulation scene of the emergency evacuation of the rail transit fire disaster and no combination of dynamic risks and personnel interaction in path decision. In view of the problems, the application provides a rail transit fire emergency evacuation simulation analysis method and a system. In a first aspect, the application provides a rail transit fire emergency evacuation simulation analysis method, which comprises the following steps: The method comprises the steps of collecting three-dimensional space structure data, fire scene parameters and initial passenger distribution data of a target rail transit station, constructing an intelligent passenger evacuation simulation model based on the three-dimensional space structure data and the initial passenger distribution data, loading the fire scene parameters to dynamically simulate a fire development process to generate dynamic fire risk field data, coupling the dynamic fire risk field data with the evacuation simulation model to drive intelligent passengers to make path decisions to construct evacuation simulation operation results, carrying out track identification on the intelligent passengers based on the evacuation simulation operation results, generating an individual passenger track data set to carry out dynamic path analysis, and constructing evacuation path optimization suggestions. In a second aspect of the present application, there is provided a rail transit fire emergency evacuation simulation analysis system, the system comprising: The system comprises a data acquisition module, an evacuation simulation model construction module, a dynamic fire risk field data generation module, an evacuation simulation running result construction module and an evacuation path optimization suggestion construction module, wherein the data acquisition module is used for acquiring three-dimensional space structure data, fire scene parameters and initial passenger distribution data of a target rail transit station, the evacuation simulation model construction module is used for constructing an evacuation simulation model of intelligent passengers based on the three-dimensional space structure data and the initial passenger distribution data, the dynamic fire risk field data generation module is used for loading the fire scene parameters to dynamically simulate a fire development process to generate dynamic fire risk field data, the evacuation simulation running result construction module is used for coupling the dynamic fire risk field data with the evacuation simulation model to drive the intelligent passengers to make path decisions to construct evacuation simulation running results, and the evacuation path optimization suggestion construction module is used for carrying out path identification on the intelligent passengers based on the evacuation simulation running results to generate individual passenger path data sets to carry out dynamic path analysis to construct evacuation path optimization suggestions. One or more technical schemes provided by the application have at least the following technical effects or advantages: The method comprises the steps of collecting three-dimensional space structure data, fire scene parameters and initial passenger distribution data of a target rail transit station, constructing an in