基于因果关系的CBR模型用于转炉炼钢静态控制  

Causality-based CBR model for static control of converter steelmaking

作　　者：王心哲[1] 韩敏[1] 

机构地区：[1]大连理工大学电子与信息工程学院,辽宁大连116024

出　　处：《大连理工大学学报》2011年第4期593-598,共6页Journal of Dalian University of Technology

基　　金："八六三"国家高技术研究发展计划资助项目(2007AA04Z158);国家自然科学基金资助项目(60674073)

摘　　要：转炉炼钢静态控制是动态控制的基础,准确的静态控制对于改善动态控制质量、提高终点命中率具有重要意义.采用案例推理方法建立了转炉炼钢静态控制模型,计算了吹氧量和冷却剂加入量;并将因果关系分析用于案例属性的确定,增强了属性选择的有效性,降低了模型计算的复杂度.对一座150t转炉的实际生产数据进行仿真,结果表明,因果关系分析能够有效地确定案例属性,基于案例推理的转炉炼钢静态控制模型是切实可行的.Converter steelmaking static control is the basis for dynamic control.The accurate static control for the improvement of dynamic control and the improvement of endpoint hit percentage is of great significance.Case-based reasoning method is adopted for establishing the converter steelmaking static control model to calculate the oxygen blowing quantity and the addition of coolant.Causality analysis is used to establish the attributes of the case to enhance the validity of attributes selection and reduce the complexity of model calculation.Simulations are implemented using real production data of a 150 t converter and results show that case attributes selected by causality analysis are effective and case-based reasoning converter steelmaking static control model is feasible.

关 键 词：转炉炼钢 静态控制模型 因果关系分析 案例推理 

分 类 号：TF724[冶金工程—钢铁冶金]