At present,coal mine fires were forecasted with some temperature,smog,CO,CO_2,etc,however,this method can't meet the requirements for safe production of coalmines in monitoring accuracy and validity.Overcoming the...At present,coal mine fires were forecasted with some temperature,smog,CO,CO_2,etc,however,this method can't meet the requirements for safe production of coalmines in monitoring accuracy and validity.Overcoming these problems of foregone moni-toring methods,using multi-parameters which include fire image,smog,CO,CO_2,O_2,etc,the paper put forward a synthetical analysis monitor with advanced technology of neuralnetwork.The research and application of this method has significance in theory and prac-tical value for coal mine fire forecast.展开更多
基金Supported by Special Funded Project on PhD Subject for Colleges(20050290010)
文摘At present,coal mine fires were forecasted with some temperature,smog,CO,CO_2,etc,however,this method can't meet the requirements for safe production of coalmines in monitoring accuracy and validity.Overcoming these problems of foregone moni-toring methods,using multi-parameters which include fire image,smog,CO,CO_2,O_2,etc,the paper put forward a synthetical analysis monitor with advanced technology of neuralnetwork.The research and application of this method has significance in theory and prac-tical value for coal mine fire forecast.
