Study on localization method of mine exogenous fire source based on CNN
In order to locate the fire location in time and accurately when a fire occurs in the mine,and solve the problems of limited coverage of local monitoring methods and weak generalization performance of the overall monitoring and localization system in current mine fire monitoring methods,a location recognition model of mine exogenous fire source based on deep con-volutional neural network(CNN)was proposed.The basic framework and data processing methods of the model were elabora-ted,and the Ventfire program was used to generate fire simulation data for training and optimization.The results show that in the data testing of the case study,the accuracy of locating the fire prone roadway is 85.3%,and the accuracy of locating the range of the fire prone roadways(5 roadways)is 92.6%.The research results can provide reference for improving the intelli-gent level of identifying and locating the mine exogenous fires.
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