Quantitative evaluation of multi-process collaborative operation in steelmaking–continuous casting sections  

作　　者：Jian-ping Yang Qing Liu Wei-da Guo Jun-guo Zhang 

机构地区：[1]State Key Laboratory of Advanced Metallurgy,University of Science and Technology Beijing,Beijing 100083,China [2]Engineering Research Center of MES Technology for Iron&Steel Production,Ministry of Education,Beijing 100083,China [3]Laiwu iron and Steel Group Yinshan Section Steel Co.,Ltd.,Jinan 271104,China [4]Hesteel Group Tangsteel Company,Tangshan 063000,China

出　　处：《International Journal of Minerals,Metallurgy and Materials》2021年第8期1353-1366,共14页矿物冶金与材料学报（英文版）

基　　金：financially supported by the National Natural Science Foundation of China (Nos.50874014 and 51974023);the Fundamental Research Funds for Central Universities (No.FRF-BR-17-029A)。

摘　　要：The quantitative evaluation of multi-process collaborative operation is of great significance for the improvement of production planning and scheduling in steelmaking–continuous casting sections(SCCSs). However, this evaluation is difficult since it relies on an in-depth understanding of the operating mechanism of SCCSs, and few existing methods can be used to conduct the evaluation, due to the lack of full-scale consideration of the multiple factors related to the production operation. In this study, three quantitative models were developed, and the multiprocess collaborative operation level was evaluated through the laminar-flow operation degree, the process matching degree, and the scheduling strategy availability degree. Based on the evaluation models for the laminar-flow operation and process matching levels, this study investigated the production status of two steelmaking plants, plants A and B, based on actual production data. The average laminar-flow operation(process matching) degrees of SCCSs were obtained as 0.638(0.610) and 1.000(0.759) for plants A and B, respectively, for the period of April to July 2019. Then, a scheduling strategy based on the optimization of the furnace-caster coordinating mode was suggested for plant A. Simulation experiments showed higher availability than the greedy-based and manual strategies. After the proposed scheduling strategy was applied,the average process matching degree of the SCCS of plant A increased by 4.6% for the period of September to November 2019. The multi-process collaborative operation level was improved with fewer adjustments and interruptions in casting.

关 键 词：steelmaking–continuous casting multi-process collaborative operation quantitative evaluation model laminar-flow operation process matching scheduling strategy 

分 类 号：TF777[冶金工程—钢铁冶金]