Intelligent early warning system for coal and gas outburst based on FOA-RF model
To improve the coal and gas outburst early warning accuracy and intelligent degree of working face,taking the 11301 tunneling working face of a mine in Lvliang city,Shanxi province as the research background,an intelligent coal and gas outburst prediction model using big data mining algorithm is built based on FOA-RF.The coal and gas outburst danger-ous state of working face is real-time monitored using seismic and infrared methane sensor.The intelligent warning system of coal and gas outburst is designed and developed,which is applied to 11301 tunneling working surface for outburst dangerous warning.The application results show that:the training accuracy of the intelligent prediction model is 99.59％,and the pre-diction accuracy is 94.57％.The established early warning system can perform the visual analysis and management of real-time warning index data,and the early warning results are basically consistent with the actual outburst state of the working face.
random forest algorithmfruit flies algorithmcoal and gas outburstintelligent early warning system
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