Pattern Recognition of Coal and Gas Outburst Fatalness in Hegang Mining Area

Coal and gas outburst is a complicated dynamic phenomenon in coal mines, multi-factor pattern recognition is related to coal mining, safety engineering, geology engineering, Geographic Information System(GIS), probability theory, information science and Artificial Intelligence(Al). Based on the systematical analysis influence factors of coal and gas outburst, the main factors and their magnitude have been determined by the corresponding methods. With the research region divided into finite predicting units, the internal relation between the factors and the hazard of coal and gas outburst, that is combination model of influence factors, has been ascertained through multi-factor pattern recognition method. On the basis of contrastive analysis the pattern of coal and gas outburst between prediction region and mined region, the hazard of every. predication unit has been determined. The mining area was then divided into coal and gas outburst dangerous area, threaten area and safe area respectively according to the hazard of every predication unit. Accordingly the hazard of mining area has been assessed. This achievement has been successfully applied for regional prediction of coal and gas outburst in Hegang mining area in China.