Intelligent optimization method for the dynamic scheduling of hot metal ladles of one-ladle technology on ironmaking and steelmaking interface in steel plants

作     者：Li Zeng Zhong Zheng Xiaoyuan Lian Kai Zhang Mingmei Zhu Kaitian Zhang Chaoyue Xu Fei Wang Li Zeng;Zhong Zheng;Xiaoyuan Lian;Kai Zhang;Mingmei Zhu;Kaitian Zhang;Chaoyue Xu;Fei Wang

作者机构：College of Materials Science and EngineeringChongqing UniversityChongqing 400044China Shougang Jingtang Iron&.Steel Co.Ltd.Tangshan 063200China 

基　　金：financially supported by the National Natural Science Foundation of China (No.51734004) the Key Program of the National Key R&D Program of China(No.2017YFB0304002) 

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：2023年第30卷第9期

页      码：1729-1739页

摘      要：The one-ladle technology requires an efficient ironmaking and steelmaking interface. The scheduling of the hot metal ladle in the steel plant determines the overall operational efficiency of the interface. Considering the strong uncertainties of real-world production environments, this work studies the dynamic scheduling problem of hot metal ladles and develops a data-driven three-layer approach to solve this problem. A dynamic scheduling optimization model of the hot metal ladle operation with a minimum average turnover time as the optimization objective is also constructed. Furthermore, the intelligent perception of industrial scenes and autonomous identification of disturbances, adaptive configuration of dynamic scheduling strategies, and real-time adjustment of schedules can be realized. The upper layer generates a demand-oriented prescheduling scheme for hot metal ladles. The middle layer adaptively adjusts this scheme to obtain an executable schedule according to the actual supply–demand relationship. In the lower layer, three types of dynamic scheduling strategies are designed according to the characteristics of the dynamic disturbance in the model:real-time flexible fine-tuning, local machine adjustment, and global rescheduling. Case test using 24 h production data on a certain day during the system operation of a steel plant shows that the method and system can effectively reduce the fluctuation and operation time of the hot metal ladle and improve the stability of the ironmaking and steelmaking interface production rhythm. The data-driven dynamic scheduling strategy is feasible and effective, and the proposed method can improve the operation efficiency of hot metal ladles.

主 题 词：hot metal ladles ironmaking and steelmaking interface one-ladle technology dynamic scheduling data-driven 

学科分类：080602[080602] 0819[工学-海洋工程类] 0806[工学-电气类] 08[工学] 0805[工学-能源动力学] 

核心收录：

D　O　I：10.1007/s12613-023-2625-6

馆 藏 号：203122366...