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Subway Security Environment Monitoring And Early Warning System

Posted on:2014-07-02Degree:MasterType:Thesis
Country:ChinaCandidate:X ChenFull Text:PDF
GTID:2252330425450652Subject:Logistics engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of urbanization in our country, the subway plays an importantrole in promoting social economic and social development. Because of the deep underground,subway environment, labor-intensive, complex and great mobility, the smoke exhaust andpersonnel evacuation are restricted. Once the accidents and emergencies happen, it will causecasualties and great economic damage to property. In order to ensure the safety of life andproperty, it is necessary to establish a real-time and efficient subway security environmentmonitoring and early warning systemThe subway environment is monitored, then the method of theoretical and experimentalverification about early warning system is researched. Monitoring and warning software systeminterface is to be developed. The main work has in three aspects. Firstly, a database is designedand could orderly store the real-time data collected by the self-organization of wireless sensornetwork that deploy in the monitoring area, and makes access module have the functions ofinteract with the database, data collected for information extraction, update, realize the insertand modify, can provide data basis of the system platform of analysis and decision. Secondly,this paper research on the method of attribute reduction under the condition of differentgranularity of information and optimized data in order to determine which is the main factorpromoting the accident, which belongs to the redundancy attribute. At the same time, study theway of Granular computing using in decision-making, discuss the effect of subway securityenvironment monitoring through compared with attribute values collected under the granularityof different cases which the grain of the calculation of the problems and make decisions basedon historical data mining, so as to discovery and solve the budding stage in many accidents.Finally, Software main features include load maps, data maintenance, data reception, data query,data graphics, node registration, hardware detection, video surveillance, UDP broadcasting, short of breath notification system to preplan start system is introduced in detail, and real-timemonitoring system software is debugged on the basis of the experimental environment.
Keywords/Search Tags:Granular Computing, Subway Security Warning, Attribute Reduction, Decision Making Mining
PDF Full Text Request
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