Prediction and optimization of flue pressure in sintering process based on SHAP

作     者：Mingyu Wang Jue Tang Mansheng Chu Quan Shi Zhen Zhang 

作者机构：School of MetallurgyNortheastern UniversityShenyang 110819China Liaoning Low-Carbon Steelmaking Technology Engineering Research CenterNortheastern UniversityShenyang 110819China Engineering Research Center of Frontier Technologies for Low-Carbon Steelmaking(Ministry of Education)Shenyang 110819China 

出 版 物：《International Journal of Minerals,Metallurgy and Materials》 (矿物冶金与材料学报（英文版）)

年 卷 期：2025年第32卷第2期

页      面：346-359页

核心收录：

学科分类：0401[教育学-教育学] 04[教育学] 

基　　金：supported by the General Program of the National Natural Science Foundation of China(No.52274326) the China Baowu Low Carbon Metallurgy Innovation Foundation(No.BWLCF202109) the Seventh Batch of Ten Thousand Talents Plan of China(No.ZX20220553) 

主　　题：sintering process flue pressure shapley additive explanation prediction optimization 

摘      要：Sinter is the core raw material for blast *** pressure,which is an important state parameter,affects sinter *** this paper,flue pressure prediction and optimization were studied based on the shapley additive explanation(SHAP)to predict the flue pressure and take targeted adjustment ***,the sintering process data were collected and processed.A flue pressure prediction model was then constructed after comparing different feature selection methods and model algorithms using SHAP+extremely random-ized trees(ET).The prediction accuracy of the model within the error range of±0.25 kPa was 92.63%.SHAP analysis was employed to improve the interpretability of the prediction *** effects of various sintering operation parameters on flue pressure,the relation-ship between the numerical range of key operation parameters and flue pressure,the effect of operation parameter combinations on flue pressure,and the prediction process of the flue pressure prediction model on a single sample were analyzed.A flue pressure optimization module was also constructed and analyzed when the prediction satisfied the judgment *** operating parameter combination was then *** flue pressure was increased by 5.87%during the verification process,achieving a good optimization effect.