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高炉热状态专家系统知识库的研究
引用本文:史燕,徐生林,杨成忠. 高炉热状态专家系统知识库的研究[J]. 机电工程, 2009, 26(12): 69-72
作者姓名:史燕  徐生林  杨成忠
作者单位:杭州电子科技大学,自动化研究所,浙江,杭州,310018;杭州电子科技大学,自动化研究所,浙江,杭州,310018;杭州电子科技大学,自动化研究所,浙江,杭州,310018
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。

关 键 词:面向对象  专家系统  知识库  命中率

Study on knowledge base of thermal state of blast furnace expert system
SHI Yan,XV Sheng-lin,YANG Cheng-zhong. Study on knowledge base of thermal state of blast furnace expert system[J]. Mechanical & Electrical Engineering Magazine, 2009, 26(12): 69-72
Authors:SHI Yan  XV Sheng-lin  YANG Cheng-zhong
Affiliation:( Department of Automation, Hangzhoa Dianzi University, Hangzhou 310018, China)
Abstract: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.
Keywords:object oriented  expert system  knowledge base  hitting rate
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