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

IF 5.6 2区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Li Zeng, Zhong Zheng, Xiaoyuan Lian, Kai Zhang, Mingmei Zhu, Kaitian Zhang, Chaoyue Xu, Fei Wang
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引用次数: 0

Abstract

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.

钢厂炼铁与炼钢界面一钢包工艺铁水包动态调度的智能优化方法
一钢包技术需要一个高效的炼铁和炼钢界面。钢厂铁水钢包的调度决定了界面的整体运行效率。考虑到现实生产环境的强不确定性,本文研究了铁水钢包的动态调度问题,并提出了一种数据驱动的三层方法来解决该问题。建立了以平均周转时间最小为优化目标的铁水钢包作业动态调度优化模型。实现了工业场景的智能感知和干扰的自主识别、动态调度策略的自适应配置和调度的实时调整。上层生成以需求为导向的铁水钢包预调度方案。中间层根据实际的供需关系对方案进行自适应调整,得到可执行的调度计划。在下层,根据模型中动态扰动的特点,设计了三种动态调度策略:实时灵活微调、局部机器调整和全局重调度。利用某钢厂某天24小时生产数据进行的实例试验表明,该方法和系统能有效减少铁水钢包的波动和操作时间,提高炼铁炼钢界面生产节奏的稳定性。数据驱动的动态调度策略是可行和有效的,所提出的方法可以提高铁水钢包的运行效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
9.30
自引率
16.70%
发文量
205
审稿时长
2 months
期刊介绍: International Journal of Minerals, Metallurgy and Materials (Formerly known as Journal of University of Science and Technology Beijing, Mineral, Metallurgy, Material) provides an international medium for the publication of theoretical and experimental studies related to the fields of Minerals, Metallurgy and Materials. Papers dealing with minerals processing, mining, mine safety, environmental pollution and protection of mines, process metallurgy, metallurgical physical chemistry, structure and physical properties of materials, corrosion and resistance of materials, are viewed as suitable for publication.
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