Study on Prediction Technology of Coal Seam Spontaneous Combustion of Renlou Coal Mine

摘要：

The concentrations of CO, CO2, C2H4 that generated by coal sample at different temperatures were tested through programmed temperature experiment. The change law of CO concentration, CO/CO2 value, C2H4 concentration and C2H4/C2H6 value along with temperature were analyzed. Grey system theory was used to determine the better index gases of the forecast of coal spontaneous combustion, which are CO concentration, C2H4/C2H6 value, C2H4 concentration. BP neural network software that based on MATLAB was developed. The software can effectively and accurately predict spontaneous combustion of coal seam. The results can direct the prevention of coal spontaneous combustion and the development of the effective extinguishing measures.

关键词： spontaneous combustion of coal forecast index gases programmed temperature

作者: XIE Zhenhua LI Rui

作者单位: Institute of Civil and Environment Engineering University of Science and Technology Beijing,Beijing 100083,China

会议类型: 国际会议

会议名称: The 2008 International Symposium on Safety Science and Technology(2008年安全科学技术国际会议)

会议地点: 北京

会议语种:英文

页码: 1419-1423

在线出版日期: 2008-09-24（万方平台首次上网日期，不代表论文的发表时间）