摘要
Coal and gas outburst is a complicated dynamic phenomenon in coal mines, Multi-factor Pattern Recogni-tion is based on the relevant data obtained from research achievements of Geo-dynamic Division, With the help of spa-tial data management, the Neuron Network and Cluster algorithm are applied to predict the danger probability of coaland gas outburst in each cell of coal mining district. So a coal-mining district can be divided into three areas: dangerousarea, minatory area, and safe area. This achievement has been successfully applied for regional prediction of coal andgas outburst in Huainan mining area in China.
Coal and gas outburst is a complicated dynamic phenomenon in coal mines, Multi-factor Pattern Recognition is based on the relevant data obtained from research achievements of Geo-dynamic Division, With the help of spatial data management, the Neuron Network and Cluster algorithm are applied to predict the danger probability of coal and gas outburst in each cell of coal mining district. So a coal-mining district can be divided into three areas： dangerous area, minatory area, and safe area. This achievement has been successfully applied for regional prediction of coal and gas outburst in Hualnan mining area in China.
基金
Project 2001BA803B0404 supported by National Key Technologies R&D Program of the 10th Five-Year Plan of China
关键词
煤矿
瓦斯喷出
涌出量
预测模型
安全管理
coal and gas outburst, probability prediction, pattern recognition, geo-dynamic division
