Method for Prediction of Coal and Gas Outburst Based on Multi-agent Information Fusion

摘要：

In view of the problems existing in the prediction methods of coal and gas outburst, a method for prediction of coal and gas outburst based on multi-agent information fusion is proposed. In the method, considering the measured data relevant to many influence factors, a multi-agent information fusion model for rapid, dynamic and accurate prediction of coal and gas outburst is given, Dempster-Shafer (D-S) evidence theory is used to reduce the uncertainty and improve the accuracy in the prediction of coal and gas outburst. The results show that the proposed method has high accuracy, which is a practical method to predict coal and gas outburst.

关键词： Coal and gas outburst Multi-agent Information fusion Dempster-Shafer(D-S) evidence theory

作者: Yan Xin Fu Hua Tu Naiwei

作者单位: Faculty of Electrical and Engineering Control, Liaoning Technical University, Huludao, 125105, China Ministry of Education Key Lab of Process Industry Automation, Northeastern University, Shenyang, 110

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 1827-1830

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）