• 论文 •    

基于自组织的智能诊断技术研究

韩彦岭, 张桃红, 杨炳儒, 曹守启   

  1. 1.上海水产大学 信息学院,上海200090; 2.北京科技大学 信息工程学院,北京100083;3.上海水产大学 工程学院,上海200090
  • 出版日期:2007-05-15 发布日期:2007-05-25

Intelligent diagnosis technology based on self-organizing

HAN Yan-ling, ZHANG Tao-hong, YANG Bing-ru, CAO Shou-qi   

  1. 1.Coll. of Info., Shanghai Fisheries Univ., Shanghai200090, China; 2.Sch. of Info. Eng., Beijing Univ. of S&T, Beijing100083, China; 3.Sch. of Eng. S&T, Shanghai Fisheries Univ., Shanghai200090, China
  • Online:2007-05-15 Published:2007-05-25

摘要: 通过分析智能诊断过程的内在属性,结合国内外的相关研究状况,提出了研究基于自组织的智能诊断技术的重要意义,并指出其优越性。详细阐述了智能诊断的自组织规划过程,结合多代理技术的自身特点及优越性,提出将多代理技术应用于智能诊断过程中。深入研究了基于多代理的自组织过程实现策略,采用基于响应时间、服务质量、服务成本、安全性目标准则的资源优化调度算法,解决了自组织过程规划中的资源管理和协调等关键问题,并通过实例验证了算法的正确性。关键词:

关键词: 自组织, 智能诊断, 多代理, 资源优化调度

Abstract: By analyzing the inherent attribute of intelligent diagnosis process, in combination with related research status home and abroad, the important meaning of research on intelligent diagnosis technology based on self-organizing was proposed, and the advantages of intelligent diagnosis technology based on self-organizing were also pointed out. The self-organizing planning process of intelligent diagnosis was expounded. Combining the specific characteristics and advantages of multi-Agent technology, the idea of applying multi-Agent technology in the process of intelligent diagnosis was brought forward, and the implementation strategy of self-organizing process based on multi-Agent was studied in particular. Resources optimization scheduling algorithm based on response Time, service Quantity, service Cost, Safety property (TQCS) was adopted to solve the key problems in the resource management and collaboration during self-organizing planning process. Finally, the correctness of this algorithm was verified by an example.

Key words: self-organizing, intelligent diagnosis, multi-Agent, optimization scheduling of resources

中图分类号: