基于MAS的电厂优化检修决策支持系统研究与实现

MAS based optimal maintenance decision supported system for power plants

基于分布式人工智能的思想,将MAS引入电厂状态检修领域,分析了基于MAS的电厂优化检修决策的工作流模型,设计了电厂优化检修系统协作模型,建立了一种分布式MAS优化检修决策支持系统(OMDSS)的体系结构及其原型系统.该系统的成功应用,使得维修人员、专家和计算机之间的协同决策成为可能,有效地提高了诊断决策效率和故障定位的准确性.

The multi-agent system （MAS） is introduced to the field of CBM on the basis of distributed intelligent agent technique. The workflow of optimal maintenance decision is analyzed based on MAS; and the cooperation model of optimal maintenance system is designed. The system framework of distributed MAS optimal maintenance decision system and its prototype system are implemented in order to achieve the harmony among the operator, expert and the computer. The systematic goal, framework and function are particularly introduced; and the implementation methods of hardware, software and database are proposed. The test results demonstrate that the system can provide service in the whole life of equipments and highly improve the efficiency of decision and accuracy of fault location.