基于干扰管理的地铁站火灾烟气控制研究

A Study of Smoke Control in Subway Stations Based on Interference Management

为减小地铁站发生火灾时干扰因素对原始烟气控制方案的影响,本文基于干扰管理思想优化烟气控制方案.以广州地铁13号线白江站为例,首先利用Pyrosim软件对地铁站火灾烟气扩散进行仿真研究,得出烟气控制方案,基于此,分析烟气控制中可能出现的干扰事件,利用干扰管理思想建立地铁站火灾烟气控制干扰管理模型,并设计遗传算法求解得出干扰管理方案,通过算例进行模型验证.研究结果表明:使用干扰管理方案可以使烟气在有效时间内排出,及时恢复了站内环境,将干扰事件带来的影响和总损失降至最低,说明利用干扰管理思想得出来的干扰管理方案是有效的.

In order to reduce the influence of interference factors on the original smoke control scheme of subway stations for fire prevention and control,this paper optimized the smoke control scheme based on the interference management idea.This study,taking Baijiang station on Line 13 of Guangzhou Metro as an example,first made a simulation study of fire smoke diffusion using the Pyrosim software to obtain a smoke control scheme.Based on this,it then analyzed the possible interference in smoke control events.Finally,it adopted the interference management idea to build a subway station fire smoke control management model,design a genetic algorithm for solving interference.The model is verified by a numerical example.The results show that smoke can be expelled within effective time by using the interference management scheme,and the environment of the station can be restored in time,and the influence and total loss caused by the interference events can be reduced to the minimum,which indicates that the interference management scheme based on the interference management idea is effective.