Research On Intelligent Pre-control Method Of Operation Emergency Risk In Beijing P Metro Station

As the main force of urban residents’ travel,subway relieves the travel pressure of urban residents and is a crucial part of the urban transportation system.However,due to the special operating environment,large passenger flow and dense equipment and facilities,once an emergency occurs in the subway station,it is difficult to rescue,and the damage loss is difficult to recover.Therefore,how to scientifically and effectively reduce,avoid and eliminate the risk of emergency in the subway station is the primary public safety issue that subway managers and the public attach great importance to and need to solve.A review of relevant literature at home and abroad shows that many scholars’ research on the risk of subway station operation emergency mostly focuses on the post-emergency management and the analysis and evaluation of emergency capacity.However,from the perspective of the duality of the emergency,that is,its pre-predictability and controllability,there are relatively few research results on the methods of pre-control.This paper intends to study the pre-control methods and pre-control measures of emergencies,with the aim of minimizing and avoiding the occurrence of emergencies as the research focus and goal.This thesis takes Beijing P subway station as the object of study.First,through case search and RBS analysis,six types of emergencies that occur more frequently and with greater harm in the operation process of subway stations are summarized as the focus of pre-control in this study,including sudden screen door failure,sudden rail fall and jump accident,sudden signal equipment failure,sudden fire,sudden flood and sudden stampede.A database of similar cases of subway station operation emergencies is established.Based on the system theory and the on-the-spot investigation and analysis of the risk factors of the emergency in the case base,the risk factors of the operation emergency of subway station are determined.BPNN method,FCM method and directional Chebyshev distance method are used to predict the risk level of the operation emergency of subway station.If there are many previous occurrences and a large number of historical case data,the BPNN algorithm is selected.In the case of few occurrence times in the past and a small amount of historical case data,FCM algorithm and directional Chebyshev distance algorithm are selected for comprehensive prediction.Secondly,based on Hine’s Rule,5MIE cause analysis method and PDCA cycle theory,combined with the actual operation situation of Beijing P subway station,the dynamic control method model of subway station operation emergency was constructed,the cause countermeasure database and seedling sign database were established,the warning level and response system were determined,and the goal of pre-prevention of subway station operation emergency risk control was realized.Nip emergencies in the bud.Finally,Java language,My SQL database and other main tools are applied,waterfall model,bootstrap framework and other technologies as the basis,docking with BIM design and development of subway station operation emergency risk visualization intelligent computer aided control system.