Study On The Problem Of Fire Evacuation At The Platform Of Subway Station Under The Influence Of Fire Products

In recent years,the development of China's urban rail transit construction has been in a rapid state.Urban rail transit also greatly facilitates the travel of urban residents.However,because the space of the rail transit station is relatively close,the number of station's exits is set less,and the density of personnel in the station is large,once fire happens,it will affect the evacuation of passengers in the station and even causes casualties.Therefore,it is of great significance to study the evacuation of passengers at the station under the influence of fire products.In this paper,the simulation experiment of subway station platform fire is carried out,and the smoke temperature,CO concentration and visibility data of different positions of the platform at each time in the simulation time 360s are obtained.The evacuation speed influence coefficient under the influence of the above three fire products is introduced into the ant colony algorithm,and based on the data obtained from the fire simulation experiment,the improved ant colony algorithm is used to solve the shortest path of the passenger from the location near the fire source to the stair at the different stage of simulation time.Based on the data obtained from the fire simulation experiment,the passenger evacuation process under the influence of fire products is simulated by using java programming and anylogic software,the problems in the evacuation process are found and corresponding improvements are proposed.The main work of the thesis is as follows:(1)Simulate the fire on the subway platform in two fire scenes,where the fire source position is set in the middle of the platform side and near the stairs of the platform,by using pyrosim.The flue gas temperature,CO concentration and visibility numerical data of different time positions in the platform of the simulated time period of 360s in the two hypothetical fire scenes are obtained by the flue gas temperature,CO concentration and visibility monitoring equipment installed at different positions of the platform,and analysis is carried out on the fire product data in the two scenarios.(2)Introduce the influence coefficient of evacuation speed under the influence of various fire products(flue gas temperature,CO concentration,visibility)into the heuristic information of ant colony algorithm.Based on the numerical data of fire products obtained by fire simulation experiments of two fire scenes,the improved ant colony algorithm is used to solve the shortest path of passengers near the fire source to evacuate to the stair at the different stage of 360s in different fire scenes.(3)Based on the numerical data of each fire product obtained from the fire simulation experiment of two fire scenes,the evacuation process of station passengers under the combined influence of fire products in two fire scenarios is simulated by using Java programming and anylogic software.The evacuation process is analyzed and evaluated by three types of indicators:evacuation time,area density and area speed.