Research On Key Issues Of Disaster Warning And Emergency Response System

The accident which occurs in coal mine is frequent and devastating, and it is athreat to the safety of coal miners and it is the culprit of the coal mine’s normalproduction.In addition, gas disasters are the main form of coal mine disasters. Toprevent gas disaster, and reduce the losses in extent, we not only have to study keytechnologies of disaster warning and to develop warning system of gas disaster in coalmine, we but also must carry out research on emergency response system of gasdisaster in colliery.In this paper, the key technologies of disaster warning have been studied andimproved. This paper introduces the data fusion technology, and improves the rules ofthe adaptive weighted data fusion method by IF-THEN rules,which proposed bypredecessors.What’s more,this paper introduces BP neural network algorithm, thelimitations of BP neural network algorithm and several kinds of improved methodsand adopts genetic algorithm to optimize BP neural network to do forecasting. Anddesigns the service-oriented Emergency Response System. While this paper takes gasdisaster and emergency treatment in colliery as an example. Then make use ofmatalab simulation to verify the BP neural network optimized by the geneticalgorithm to do forecasting is better than BP neural network to do forecasting.In addition, this paper analyzes the demand on the system, the principle ofdeveloping this system, the development and running environment of the system, thedesign of the overall architecture of the system, the design of database, the designedof emergency auxiliary modules.Combined the adaptive weighted data fusion methodoptimized by IF-THEN rules and the BP neural network optimized by the geneticalgorithm and database technology to build gas disaster warning and emergencyresponse systems in coal mine. At the same time,various functional modules of thesystem are analyzed, and the results are given in Fig.