Dissertation
Dissertation > Industrial Technology > Mining Engineering > Mine safety and labor protection > Mine atmosphere > Coal (rock) and gas outburst prevention and treatment

Based on BP neural network , coal and gas outburst risk prediction

Author LiChunHui
Tutor ChenRiHui
School Kunming University of Science and Technology
Course Safety Technology and Engineering
Keywords coal and gas outburst BP neural network risk prediction triangular fuzzy numbers Matlab coal mine
CLC TD713
Type Master's thesis
Year 2010
Downloads 178
Quotes 5
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The safety of coal mine is the most important task in the current coal mine safety production, however, Coal and gas outburst is one of the most serious natural disasters in coal mine safety production. It is a kind of complicated dynamical phenomena in mines, and is the synthesized result of stress, gas, coal physics mechanics etc. because of the disasters increasingly heavier, the study of coal and gas outburst prediction is even more important for safety production in coal mine. Combined with the generally accepted synthesizing hypothesis as theory basis in the paper, the paper through the statistical analysis of the coal and gas outburst accident of Gui Zhou region, to study the general rules coal and gas outburst in the region’s, and the prediction of coal and gas outburst is studied by applying the knowledge of BP neural network.1)The need and significance of coal and gas outburst risk prediction have been discussed in the paper, the actualities and limitations of current studying have been summarized, the study project and technology routes of coal and gas outburst risk prediction also have been confirmed based on BP neural network, and the outburst mechanism of synthesizing hypothesis.2)The paper through the statistical analysis of the coal and gas outburst accident, to study the general rules coal and gas outburst in the region’s, analyzing the influencing factors of coal and gas outburst based on the theory basis of synthesizing hypothesis, a hazard assessment index system of coal and gas outburst was build.3)The paper analyzes a variety of factors controlling and effecting coal and gas outburst about the synthesized result of stress, gas, coal physics mechanics etc, the controlling factors of coal and gas outburst hazard prediction was confirmed by applying the theory and knowledge triangular fuzzy numbers.4)The mathematical model of coal and gas outburst hazard prediction was established based on BP neural network, it was achieved by mathematical software of MATLAB, for example of Xiang Shui mine, the risk degree of the region outburst was evaluated. The method is simple、very practical and operational.5)Finally, the regional control technology of coal and gas outburst was proposed, namely mining protective coal seam、gas pre-drainage and coal seam injecting etc. because of the need of digital mine, a design project of coal and gas outburst risk prediction management system based on GIS, a new control technology of coal and gas outburst was provided,a new access of coal and gas outburst control technology was opened, it have very important significance for safety production in mining enterprises.The paper through the research of the general rules outburst in the region’s and control factors of outburst hazard, the mathematical model of coal and gas outburst hazard prediction was established based on BP neural network, the regional control technology of coal and gas outburst was proposed, to explore new a avenue for prediction and control of coal and gas outburst.

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