A Method for Gas Outburst Volume Detection Based on Multi-sensor Information Fusion in the Coal Mine

摘要

The volume of the gas outburst directly affects the safety of the underground coal mining and economic benefits. Under many changing factors, the outburst volume is uncertain at the working face, thus causing the inconvenience of its detection. With the analysis of the defect of traditional BP network, this paper proposes a way of BP neural network optimization based on genetic algorithm of good global search ability. The optimized BP network has its application in integrating main information influencing the volume of gas outburst, and its volume is estimated. The result indicates that, compared with traditional BP network, the optimized BP network has faster convergence speed and higher estimation accuracy.