Font Size: a A A

Research On The Nonlinear Intelligent Control System Of Risk Of Emergencies For The P Metro Station Construction

Posted on:2021-01-02Degree:MasterType:Thesis
Country:ChinaCandidate:W ZhangFull Text:PDF
GTID:2392330611983461Subject:Transportation engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of economy and population in China,the progress of urbanization has been accelerated,what accompanied were traffic jam,incomplete road traffic infrastructure,frequent occurrence of road accidents,energy consumption,serious air population and a series of other problems.However,as the city space is limited,road reconstruction requires a lot of time and capital,and with the advantages of large carrying capacity,small occupancy rate of land space,and punctuality and comfortableness,metro engineering has become the key public transportation devel-oped in China in 21st century.However,due to the special location and construction method of metro engi-neering,metro engineering,especially metro station engineering,is of the problems of long construction period,large disturbance,and diverse sources of risk,and emer-gencies occur during construction from time to time.By exploring the related docu-ments at home and abroad and conducting visualized analysis,it was discovered that the domestic and foreign researches on emergency of metro mainly focused on the emergency management during operation and risk assessment after a disaster,while there was few research on the identification and control on the emergency for the construction in station.This thesis was based on this topic,it aimed to identify and control the occurrence of emergency from the source,to provide effective references for the risk management in the construction of metro station.First of all,in this paper,via case study and RBS risk analysis,it can confirm that there are six types emergencies in the construction of metro station which occur most frequently and have largest social influence,including sudden collapse,sudden water and sand gushing,sudden fire disaster,sudden explosion,sudden gas leakage,and sudden flood disaster,and then it can construct the database for the emergency cases in the construction of metro station.With the combination of database,adoption of Delphi method and factor analysis method,it was determined that six categories of emergencies,including unexpected collapse,unexpected water burst and sand boiling,unexpected fire,unexpected explosion,unexpected gas leakage,unexpected flood that with the most occurrence frequency and the largest risk extent were deemed to be the key control.On the basis of historical data from the case library,delphi method and factor analysis method were employed to determine the main influence factors for the emergencies during metro station construction,besides,nonlinear risk level predic-tion model was built,and under the historical data of big sample,BP neural network method was chosen;inversely,under the historical data of small sample,FCM method and directional Chebyshev distance method were selected to respectively predict the emergency risk level during metro station construction.Secondly,with Hein rule as the theoretical basis,and combination of the con-struction process and construction technology in P metro station,intelligent control systems such as Hein rule control,PDCA,cause countermeasure base,symptom base,early warning response against the emergencies during metro station construction were established,to enable the construction emergency risk control to achieve the control objective of beforehand and in-process strict prevention,elimination of acci-dent budding and post plan response.Finally,with the selection of Java language,IDEA development tool,My SQL database,and by taking waterfall model,SSM framework,bootstrap framework as the technical guidance,intelligent computer control system against the emergency risks during metro station construction was designed and developed.
Keywords/Search Tags:construction of metro station, emergency, dynamic management, BPNN, FCM
PDF Full Text Request
Related items