装备维修智能决策支持系统研究

Research on Equipment Repairing Intelligent Decision Support System

从系统的功能需求入手介绍传统的智能决策支持系统的结构模型,分析装备维修智能决策支持系统的功能实现,按照智能维修的目标设计了系统的总体构架。数据仓库的建立和分析采用传统的方法;对装备维修资料进行分析组建相应的知识库;分析建立模型条件结合知识库建立模型库;用数据挖掘方法处理数据仓库、知识库和模型库中的知识实现系统的智能决策。结果证明该方法在装备维修智能决策支持系统中得到很好的应用。

From the functional requirements of intelligent decision support system, this paper introduces the structural models of intelligent decision support system. According to the requirement analysis of equipment repairing, it designs the overall framework of system. It establishes and analyzes the database warehouse by using the traditional method, and analyzes the equipment repairing data and organizes the corresponding knowledge base. It analyzes and establishes model conditions and set up models base combining with the knowledge base. It uses data mining to deal with these three bases and realize the intelligent decision of system. The results show that this method is suitable for equipment repairing intelligent decision support system.