基于AnyLogic客流空间密度对地铁火灾疏散影响的研究
Study on the Influence of Passenger Flow Spatial Density on Subway Fire Evacuation Based on AnyLogic

本文模拟真实场景下地铁站火灾发生后，人员疏散情况，采用AnyLogic软件模拟火灾发生后，人员疏散的过程，使用PyroSim软件模拟火灾发生后，地铁站内对人体有害物质的含量，当有害物质达到威胁人员身体安全的浓度时，事件模拟终止。本文主要研究场景客流空间密度对于疏散结果的影响，以成都地铁站为例，设置三种场景，并对场景三进行了详细的研究。场景三模拟结果中，客流空间密度与逃生率之间具有非线性关系，同时具有一个逃生率达到100%的临界值。
This paper simulates the evacuation situation after the fire in the subway station in the real scene, uses AnyLogic software to simulate the process of personnel evacuation after the fire, and uses PyroSim software to simulate the content of harmful substances on human body in the subway station after the fire. When the harmful substances reach the concentration threatening the safety of personnel, the simulated event is terminated. This paper mainly studies the impact of scene passenger flow spatial density on evacuation results. Taking Chengdu subway station as an example, three scenes are set up, and Scene 3 is studied in detail. Scenario three simulation results show that there is a nonlinear relationship between the density of passenger flow and the escape rate, with a boundary value of 100% of escape rate.