摘要
结合复杂系统结构和功能上具有的分层、关联、并行及复杂性特点,将诊断对象作为一个整体,从响应客户请求的复杂任务求解角度,研究故障诊断过程及诊断资源利用两个关键技术。阐述复杂系统智能诊断的任务分解模式,结合任务、过程及活动间的约束关系,分析基于约束的活动组织过程及其求解策略;基于多代理技术分析资源管理及调度过程,给出基于TQCS(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。
Combining the characteristics of complicated system in the way of structure and function, such as stratify,relevance ,parallel and intricacy,the paper took the diagnosis object as a whole ,and from the view of responding custom request and solving the complicated tasks ,researched two key technologies ,including fault diagnosis process and diagnosis resource utilization, The diagnosis task decomposition mode of complicated system was exhausted. Combining the restraint relationships among the tasks ,processes and activities ,the activities organization process based on restraint and its solution strategy were analyzed;the paper analyzed the resource management and dispatch process based on multi-agent,and finally given the resource optimization dispatch algorithm based on target criterion of TQCS (Time,Quality,Cost and Safeness).
出处
《机械设计与制造》
北大核心
2009年第4期60-62,共3页
Machinery Design & Manufacture
基金
上海市教委优秀青年基金项目(16030,16057,16060)
上海大学机械电子工程重点学科开放课题基金资助项目(B.13-0109-05-025)
关键词
复杂系统
故障诊断
代理技术
约束
Complicated system
Fault diagnosis
Agent technology
Restraint