Title :
Method for Prediction of Coal and Gas Outburst Based on Multi-agent Information Fusion
Author :
Xin, Yan ; Hua, Fu ; Naiwei, Tu
Author_Institution :
Fac. of Electr. & Eng. Control, Liaoning Tech. Univ., Huludao, China
Abstract :
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.
Keywords :
coal; disasters; inference mechanisms; mining industry; multi-agent systems; prediction theory; sensor fusion; uncertainty handling; Dempster-Shafer evidence theory; coal outburst; gas outburst; multiagent information fusion; prediction methods; Accuracy; Automatic control; Automation; Control engineering education; Data analysis; Drilling; Gas industry; Prediction methods; Predictive models; Production; Coal and gas outburst; Dempster-Shafer (D-S) evidence theory; Information fusion; Multi-agent;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
DOI :
10.1109/ICICTA.2010.620
