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

Volume

2

fYear

2010

fDate

11-12 May 2010

Firstpage

657

Lastpage

660

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICICTA.2010.620

Filename

5523347