Multi-agent based distributed chemical process monitoring and diagnosis

被引：0
|
作者：
Sun, JG [1 ]
Yang, XB [1 ]
Huang, D [1 ]
机构：
[1] E China Univ Sci & Technol, Branch State Engn Res Ctr Ind Automat, Shanghai 200237, Peoples R China
来源：
2002 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-4, PROCEEDINGS | 2002年
关键词：
multi-agents; chemical process; machine learning; distributed diagnosis;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Multi-agent technology offers a number of characteristics that make it well suited for distributed process monitoring and fault diagnosis tasks. This paper describes a general architecture to implement distributed applications for chemical process monitoring and diagnosis as a set of cooperating intelligent agents. Agents in this application encapsulate different distributed hardware/software entities: a real-time process data acquisition system, auto knowledge acquisition, fuzzy and other controllers, presentation manager, hypothesis generator, etc. The agents appeared in this application are defined in ADL (Agent Description Language), a high-level specification language, and interchange data/knowledge through service requests using a common knowledge-representation language. Elements of a multi-agent framework that is being used to support this complex distributed application, and the mechanisms used for agent usability within the chemical process environment are also described.
引用
收藏
页码：851 / 856
页数：6
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