Sensitivity Index Research On Coal And Gas Outburst In Tunliu Coal Mine

Coal and gas outburst is one of the significant natural disasters which occur in the coal mine mining process, especially in the driving process, Seriously, threating to the coal mine production safety, restricting the extraction rate of the mine, the economic benefits of coal。Forecasting coal and the gas outburst risk is the important link and crucial technique in preventing and controlling it. It is one of the solutions that adopting sensitive gas outburst prediction indexes and rational critical values. For the Tunliu coal mine of Lu'an group, researching the sensitive gas outburst prediction indexes and rational critical values of the 3# coal bed, will make the mining efficiency of the 3# coal bed improve, insure the mined safely and effectively. So, it can increase significantly the economic and social benefits of the Tunliu coal mine.Aiming to the insensitive forecast target system in some mining area, there are the phenomenon which the high target is not outburst, the low target is outburst to forecast outburst in the working surface. On the massive material foundation, combining outburst forecast practice and some mathematics theory method, Studying on the method of coal and gas outburst risk sensitive making. Established the prominent outburst prediction sensitive indicators of mathematical models and fuzzy clustering analysis index methodology. On analyzing the Gas deposit law of North eare,South eare1# and South eare2#, Combined with the actual situation of gas dynamic phenomenon, analysising the zero dimension and the standardized by fuzzy clustering mathematical analysis method at different mining area, Predictor of the amount of the different conversion values can be compared with each other, according to the similarity matrix theory and related models, the fuzzy similarity transformation, the use of cluster analysis for qualitative analysis of the sensitivity.Finally, statistical analysis of the distribution range of sensitive indicators to forecast indicators of the sensitivity of the quantitative analysis; in the sensitive analysis of critical value to determine based on the principle of critical value-sensitive, critical sensitive indicators accordingly values were determined.