人员疏散预测平台在深埋地铁中的应用

目的建立建筑空间人员安全疏散性状预测平台，实现对火灾安全疏散的性能化分析．方法利用人员疏散路径优化算法对人员疏散路径进行优化，在路径优化基础上，利用C—SGEM模型对火灾状态下人员疏散行动的时间进行计算，探讨该平台对深埋地铁火灾安全疏散性能化分析中应用的可行性，分析扶梯运行情况对人员疏散安全性的影响．结果在路径优化基础上建立的应急疏散方案能满足地铁安全疏散的要求并且使扶梯保持上行时疏散安全性最佳．结论人员安全疏散性状预测平台可以实现对大型复杂公共建筑物安全疏散的性能化分析．

The Application of Human Evacuation Prediction Platform in Deep-Buried Subway Station

This paper aims at building a predicted platform of people＇s safe evacuation, so that an optimal method for safe evacuation in case of fire. Using Adaptive-ant-colony-algorithm-based Evacuation Route Optimization Algorithm to optimize the evacuation route, the operation time of the evacuation at the circumstances of fire is calculated by the model of C-SGEM based on the route optimization. The safety evacuation prediction platform of building space is established to achieve the analysis of the performance of fire safety evacuation. Case application is performed on a deep buried underground, the probability of using the platform and the extent that the security is influenced by the operation of the escalator are analyzed. The results show that the program of the emergency evacuation based on the path optimization meets the requirements of the safety evacuation of subway, and when the escalator is up, the evacuation is safer. It shows that the performance analysis of the safety evacuation of the large public buildings can be achieved by using the safety evacuation prediction platform.