基于自组织的智能诊断技术研究

Intelligent diagnosis technology based on self-organizing

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。

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.