高炉热状态专家系统知识库的研究  

Study on knowledge base of thermal state of blast furnace expert system

作　　者：史燕[1] 徐生林[1] 杨成忠[1] 

机构地区：[1]杭州电子科技大学自动化研究所,浙江杭州310018

出　　处：《机电工程》2009年第12期69-72,共4页Journal of Mechanical & Electrical Engineering

摘　　要：为了建立高炉热状态专家系统知识库,判断高炉热状态,阐明了知识库是高炉冶炼专家系统的核心和基础,介绍了高炉冶炼专家系统知识库的知识获取方法、知识表示方式和知识存储结构,探讨了高炉冶炼专家系统知识库的建立方法。在建立好的知识库的基础上构造了BP神经网络判断高炉热状态。离线测试结果表明,本系统建立的知识库对高炉热状态判断有很高的命中率。Aiming at building up of thermal state of blast furnace expert system knowledge base and determining the thermal state of blast furnace, a knowledge base which was the core and foundation of the smelting expert system for a blast furnace was pointed out. Then the knowledge acquisition, knowledge presentation as well as knowledge storage structure of the knowledge base were introduced. A way to build up a smelting expert system for blast furnace was discussed. The BP neural network structure was designed on knowledge base built up to determine the thermal state of blast furnace. Off-line test indicates that knowledge base built up in the system can improve the thermal state of the BF hitting rate.

关 键 词：面向对象 专家系统 知识库 命中率 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程]