Prediction of Coal Spontaneous Combustion in Goaf Based on the BP Neural Network

摘要：

　　On the basis of the gas monitoring system with beam tube,the BP neural network model for forecasting the temperature of coal spontaneous combustion was estabfished.The temperature of goaf can be forecast by using the concentration values of carbon monoxide and the concentration values of carbon dioxide.By comparing prediction results with the actual monitoring data,the results show that this method significantly improves the prediction accuracy of spontaneous combustion in goaf.This predicting model proves efficient enough to provide scientific basis for spontaneous combustion prevention in goaf..

关键词： Coal Spontaneous Combustion Matlab BP Neural Network Temperature Prediction

作者: Zhenhua Xie Yu Zhang Cai Jin

作者单位: School of Civil and Environmental Engineering, University of Science and Technology Beijing, Beijing, China

会议类型: 国际会议

会议名称: 2012 International Symposium on Safety Science and Engineering in China (2012安全科学与工程国际会议)

会议地点: 北京

会议语种:英文

页码: 88-92

在线出版日期: 2012-11-07（万方平台首次上网日期，不代表论文的发表时间）