FAO系统下列车火灾应急处置GSPN模型与分析

李艳艳¹,张孝法²

1.安徽交通职业技术学院城市轨道交通与信息工程系，安徽 合肥  230051；

2.安徽省道路运输管理服务中心，安徽 合肥  230022

摘要：为提高轨道交通全自动运行（fully automatic operation，FAO）状态下无人值守地铁列车突发火灾应急处置效率和应急管理水平，分析FAO系统下地铁列车区间火灾的应急处置流程，基于广义随机Petri网（generalized stochastic Petri net，GSPN)建立FAO系统下无人值守列车的火灾应急处置的GSPN模型及其同构的马尔科夫链(Markov chain，MC)；结合地铁列车火灾应急演练操作流程进行实证仿真，分析应急处置流程模型的系统性能，确定关键环节及其处置时间。结果表明：在救援行动阶段，救援人员行动、乘客到达安全车厢、列车到站、车站处置完成和救援行动完成等环节易造成信息堵塞；开展车站处置、车站救援和事故列车下线等环节的变迁利用率相对较高，为应急处置流程优化的重点；通过变动关键环节的变迁实施速率，仿真系统的平衡状态与应急处置效率间的关系，确定关键环节的最佳变迁实施速率及应急处置总时长，为FAO系统下优化列车火灾应急处置流程提供参考。

关键词：FAO系统；列车火灾；应急处置；GSPN；MC

Analysis and GSPN model of train fire emergency response in FAO system

LI Yanyan¹, ZHANG Xiaofa²

1.Department of Urban Rail Transit and Information Engineering, Anhui Communications Vocational and Technical College, Hefei 230051, China;

2.Anhui Provincial Road Transport Management and Service Center, Hefei 230022, China

Abstract:In order to avoid the loss of people′s lives and property due to improper disposal in case of sudden fire on unattended subway trains in the fully automatic operation(FAO) state, and to improve the emergency disposal efficiency and emergency management level of train fire under FAO system, the emergency disposal process of subway train section fire under FAO system is analyzed. A GSPN model and its isomorphic Markov chain(MC) for fire emergency response of unattended trains in FAO system are established based on Generalized Stochastic Petri net(GSPN). Combined with the operation process of subway train fire emergency drill, the system performance of the emergency treatment process model is analyzed by the empirical simulation, and the key link and the disposal time is determined. The results show that: during the rescue operation stage, the actions of rescue personnel, the arrival of passengers to the safe carriage, the arrival of trains, the completion of station disposal and the completion of rescue operations are easy to cause information congestion; The transition utilization rate of station disposal, station rescue and accident train offline is relatively high, which is the focus of emergency disposal process optimization; The relationship between the balance state of the system and the emergency response efficiency is simulated by changing the transition implementation rate of key links, the optimal transition implementation rate of key links and the total time of emergency response are determined.

Keywords:FAO system; train fire; emergency disposal; GSPN; MC