Multi-Agent Based Early-Warning for Monitoring of Major Hazard Installations
If the status information of major hazard installations is not measured, the hazards can not be controlled. Distributed and remote monitoring and control are important to manage the distributed hazard installations and to keep people and properties from dangers. In the paper, the multi-agent group (MAG) model for monitoring and control of hazard installations is proposed. The monitoring and control tasks are decomposed into 5 Agents, among which the Feature Extraction Agent (FEA) and the Early-warning Analysis Agent (EAA) perform the early-warning function of hazard installation monitoring. The structures, main functions and working processes of the FEA and the EAA are analyzed. The wavelet based feature extraction method and the Kalman filter based prediction method are adopted. Based on multi-agent technologies, the early-warning system of hazard installation is more adaptive, flexible, and expandable.
Zhou Jianfeng Chen Guohua
Department of Industrial Engineering,School of Electromechanical Engineering,Guangdong University of Institute of Safety Science and Engineering,School of Mechanical & Automotive Engineering,South Chin
国际会议
2009 IEEE International Conference on Information and Automation(2009年 IEEE信息与自动化国际学术会议)
珠海、澳门
英文
1516-1520
2009-06-22（万方平台首次上网日期，不代表论文的发表时间）