Modeling And Performance Analysis Of Metro Fire Emergency Plan Based On Petri Net

With the acceleration of China’s urbanization process,the construction of rail transit ushered in the peak of development,constantly highlighting the traffic strength of a city.Subway plays an important role in public travel with its advantages of stable operation,safety and punctuality,energy saving and environmental protection.However,the closed space and dense personnel in subway stations are always threatening the safe operation of subway.Once a fire breaks out in a subway station,it will have a certain impact on passengers’ physical,psychological and property safety as well as public opinion.The study of subway fire emergency response time can help fire rescue decision makers better grasp the fire situation,carry out targeted rescue,make scientific rescue judgment and decision,reduce the loss caused by fire factors,and provide a solid theoretical basis for the optimization of subway fire emergency plan.Based on from the Angle of theoretical knowledge,this paper introduces the research background,significance and content,systematically describes the definition of Petri nets,triggering rules and time performance,such as theory,summarized the rules for subway emergency plan process and theoretical basis,at the same time,according to the national emergency plan related regulation,combined with the city subway operating company of subway fire plans and procedures,Based on Petri net,the metro fire emergency plan process of Xingxingba station of Metro Line 3 is established.The validity and rationality of the model structure are verified by the overlay tree method and Platform Independent Petri Net Editor simulation software.According to markov chain method,the stability probability of model reachnibility identification is obtained.By comparison within the research scope,the stability probability of M5 in emergency rescue stage is 21.70%,which needs to be focused on this stage.By comparing steady-state probability distribution data again,it can be obtained that the maximum steady-state probability value is 24.85%.The analysis and time calculation of this weak link are carried out specifically,and the total execution time required in the emergency rescue stage is 3607.2s.Bigemap GIS Office platform was used to optimize the path and resource allocation of the Petri net model for the time of emergency rescue phase.The total execution time of the optimized emergency rescue phase was 3527.7s,which reduced the overall emergency execution time by 79.5s and about 2.2%.Through this optimization study,the rationality and implementability of the plan are improved,the time of emergency response is shortened,and a green channel for life rescue is opened up.