智能推理技术在选矿物耗控制中的应用研究  

Study on Application of Intelligent Inference Technology to Material Consumption Control in Ore Plant

作　　者：刘威[1] 柴天佑[1] 

机构地区：[1]东北大学自动化研究中心,辽宁沈阳110004

出　　处：《计算机集成制造系统》2004年第6期704-708,共5页Computer Integrated Manufacturing Systems

基　　金：国家863/CIMS主题资助项目(2001AA413510);国家自然科学基金资助项目(60074019)。~~

摘　　要：为了准确、合理地设定生产技术指标,提出一种利用案例推理技术来设定生产技术指标计划值的方法,并研究了案例的知识表示方法和案例库的组织结构,讨论了案例的检索、学习和重用算法,建立了基于规则推理技术的成本差异分析系统。最后,通过在某选矿厂物耗成本分析中的实际应用,验证了该技术的实用性与有效性。In order to set an accurate and rational index of the production technology, a case-based reasoning technology was presented. After studying the knowledge representation of cases and the structure of case base/stock were studied, the algorithms of case retrieval, case learning and case reuse were discussed, and a cost difference analysis system was built by using rule-based reasoning. At last the practicability and validity of the technology were verified through the application in the analysis of material consumption in some ore plant.

关 键 词：案例推理 规则推理 指标设定 成本分析 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程] TP9[自动化与计算机技术—控制科学与工程]