钢铁生产线的多工序实时智能优化调度理论、方法及应用

Theory, Method and Application of Multi-processes Real-time Intelligent Scheduling for Steel Production

本文基于国家自然科学基金重点项目"钢铁生产线的多工序实时智能优化调度理论、方法及应用(U1660202)",针对钢铁企业生产过程中"炼铁高炉向炼钢炉的铁水输送匹配调度"和"炼钢—连铸—热轧过程动态调度"两个关键技术研究进展进行综述,包括铁钢对应、铁水机车调度、组炉组浇、炼钢连铸、连铸热轧、加热炉群调度等生产工序随机环境下鲁棒优化模型的建立及转化方法、混合整数规划模型智能求解算法与智能决策软件模块开发等前沿领域创新性研究成果。本项目发表了一系列高水平论文,获得多项发明专利授权及科技奖项,培养了一批钢铁调度专业人才。项目研究成果已应用于新余钢铁集团生产线,为提升生产方案质量,节能减排提供了示范性的支持作用。

This paper is based on the key project of the National Natural Science Foundation of China“Theory,method and application of Multi-process real-time intelligent scheduling for steel production(U1660202)”,and aims at providing a review of“transportation and batching process of molten iron”and“integrated Steelmaking-Continuous Casting-Hot Rolling production process”,two key technologies in steel production.We will introduce distributionally robust models for“iron and steel correspondence”,“hot metal locomotive scheduling”,“furnace group pouring”,“steelmaking and continuous casting”,“continuous casting and hot rolling”,“heating furnace group scheduling”,etc.Innovative research results in frontier fields such as the establishment and transformation of robust optimization models under the random environment of production processes,the intelligent solution algorithm of mixed integer programming models and the development of intelligent decision-making software modules will also be illustrated.The research group has published a series of high-level papers,obtained a number of invention patent authorizations and important awards,and trained a group of steel dispatching professionals.The research results of the project are applied to the production line of Xinyu Iron and Steel Group,which provides exemplary support for improving the quality of production plans,energy saving and emission reduction.