铁钢界面 “一罐制” 运行下转炉炼钢厂铁水罐动态调度的智能优化方法

曾立; 郑忠; 连小圆; 张开; 祝明妹; 张开天; 徐超月; 王飞

doi:10.1007/s12613-023-2625-6

Volume 30 Issue 9

Sep. 2023

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文章导航 > 矿物冶金与材料学报（英文） > 2023 > 30(9): 1729-1739

Li Zeng, Zhong Zheng, Xiaoyuan Lian, Kai Zhang, Mingmei Zhu, Kaitian Zhang, Chaoyue Xu, and Fei Wang, Intelligent optimization method for the dynamic scheduling of hot metal ladles of one-ladle technology on ironmaking and steelmaking interface in steel plants, Int. J. Miner. Metall. Mater., 30(2023), No. 9, pp. 1729-1739. https://doi.org/10.1007/s12613-023-2625-6

Cite this article as:

Li Zeng, Zhong Zheng, Xiaoyuan Lian, Kai Zhang, Mingmei Zhu, Kaitian Zhang, Chaoyue Xu, and Fei Wang, Intelligent optimization method for the dynamic scheduling of hot metal ladles of one-ladle technology on ironmaking and steelmaking interface in steel plants, Int. J. Miner. Metall. Mater., 30(2023), No. 9, pp. 1729-1739. https://doi.org/10.1007/s12613-023-2625-6

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研究论文

铁钢界面 “一罐制” 运行下转炉炼钢厂铁水罐动态调度的智能优化方法

1)
重庆大学材料科学与工程学院, 重庆 400044, 中国
2)
首钢京唐钢铁联合有限责任公司, 唐山 063200, 中国

通讯作者:
郑忠 E-mail: zhengzh@cqu.edu.cn

中文摘要

高炉–转炉的“一罐制”运行模式对铁钢界面技术提出更高要求，炼钢厂内铁水罐的运行调度决定了界面的整体运行效率。考虑实际生产环境的强不确定性，提出了基于数据驱动的铁水罐动态调度方法。本文构建了以最小化铁水罐周转时间为优化目标的铁水罐动态调度模型，设计了面向动态扰动的影响程度及范围的3类动态调度策略。通过对关键数据的跟踪，实现工业场景的智能感知与扰动自主识别、动态调度策略的自适应配置以及调度方案的实时调整。以某钢厂系统运行期间某天24 h生产数据进行的案例测试表明：该方法及系统可以有效降低铁水罐运行时间波动，提高铁钢界面生产节奏的稳定性，且数据驱动下的动态调度策略可行有效。

关键词:

Research Article

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

+ Author Affiliations

Abstract

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.
- hot metal ladles;
- ironmaking and steelmaking interface;
- one-ladle technology;
- dynamic scheduling;
- data-driven

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References

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铁钢界面 “一罐制” 运行下转炉炼钢厂铁水罐动态调度的智能优化方法

中文摘要

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

Abstract

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