Endpoint temperature prediction of molten steel in RH using improved case-based reasoning  

作　　者：Kai Feng Hong-bing Wang An-jun Xu Dong-feng He 

机构地区：[1]School of Metallurgy and Ecology Engineering,University of Science and Technology Beijing [2]State Key Laboratory of Advanced Metallurgy,University of Science and Technology Beijing [3]School of Computer and Communication Engineering,University of Science and Technology Beijing

出　　处：《International Journal of Minerals,Metallurgy and Materials》2013年第12期1148-1154,共7页矿物冶金与材料学报（英文版）

基　　金：financially supported by the National Key Technology R&D Program in the 11th Five-Years Plan of China (No.2006BAE03A07);Fundamental Research Funds for the Central Universities (No.FRF-TP12-086A)

摘　　要：An improved case-based reasoning （CBR） method was proposed to predict the endpoint temperature of molten steel in Ruhrstahl Heraeus （RH） process. Firstly, production data were analyzed by multiple linear regressions and a pairwise comparison matrix in analytic hierarchy process （AHP） was determined by this linear regression＇s coefficient. The weights of various influencing factors were obtained by AHP. Secondly, the dividable principles of case base including ＂0-1＂ and ＂breakpoint＂ were proposed, and the case base was divided into several homogeneous parts. Finally, the improved CBR was compared with ordinary CBR, which is based on the even weight and the single base. The results show that the improved CBR has a higher hit rate for predicting the endpoint temperature of molten steel in RH.An improved case-based reasoning （CBR） method was proposed to predict the endpoint temperature of molten steel in Ruhrstahl Heraeus （RH） process. Firstly, production data were analyzed by multiple linear regressions and a pairwise comparison matrix in analytic hierarchy process （AHP） was determined by this linear regression＇s coefficient. The weights of various influencing factors were obtained by AHP. Secondly, the dividable principles of case base including ＂0-1＂ and ＂breakpoint＂ were proposed, and the case base was divided into several homogeneous parts. Finally, the improved CBR was compared with ordinary CBR, which is based on the even weight and the single base. The results show that the improved CBR has a higher hit rate for predicting the endpoint temperature of molten steel in RH.

关 键 词：STEELMAKING DEGASSING case-based reasoning analytic hierarchy process TEMPERATURE prediction 

分 类 号：TF701[冶金工程—钢铁冶金]