钢铁生产过程动态调度综述  

A review of dynamic scheduling in iron and steel production process

作　　者：赵梓焱 李思怡 刘士新 刘硕[2] 赵亚峰 ZHAO Ziyan;LI Siyi;LIU Shixin;LIU Shuo;ZHAO Yafeng(State Key Laboratory of Synthetical Automation for Process Industries,Northeastern University,Shenyang 110819,China;College of Information Science and Engineering,Northeastern University,Shenyang 110819,China;School of Materials Science and Engineering,Northeastern University,Shenyang 110819,China;Institute of Metal Research,Chinese Academy of Sciences,Shenyang 110016,China)

机构地区：[1]东北大学流程工业综合自动化国家重点实验室,辽宁沈阳110819 [2]东北大学信息科学与工程学院,辽宁沈阳110819 [3]东北大学材料科学与工程学院,辽宁沈阳110819 [4]中国科学院金属研究所,辽宁沈阳110016

出　　处：《冶金自动化》2022年第2期65-79,共15页Metallurgical Industry Automation

基　　金：国家自然科学基金面上项目(62073069);国家重点研发计划项目(2021YFB3301203);辽宁省兴辽英才计划项目(XLYC2002041)。

摘　　要：钢铁制造是典型的流程工业,其复杂生产流程中的多重不确定性为生产调度带来了巨大挑战。面向不确定事件扰动,如何制定动态调度策略实现快速响应,是钢铁企业亟需解决的实际问题。现有研究针对炼铁、炼钢-连铸、热轧、炼钢-连铸-热轧一体化调度等多种调度场景,提出了基于Petri网、启发式算法、数学规划、动态约束满足、人机交互、案例推理、鲁棒和模糊优化等各类方法的大量动态调度方法。针对钢铁动态调度这一领域展开综述,介绍钢铁生产的主要流程及其动态扰动因素,回顾钢铁制造过程中各生产环节的动态调度研究,总结现有的动态调度方法,分析钢铁行业的实际需求与现有研究的局限,提出知识和数据驱动的高性能动态调度算法、全流程多工序协同的动态调度问题及方法、可配置的决策支持系统等亟待解决的关键科学问题与待探索的研究方向。Steel manufacturing is a typical process industry.Multiple uncertainties in its complicated production process bring huge challenges for production scheduling.Facing the disturbances caused by uncertain events,how to design dynamic scheduling strategies to achieve fast response is a key and practical issue to be solved in iron and steel enterprises.Existing work proposes many dynamic scheduling methods based on Petri net,heuristic algorithms,mathematical programming,dynamic constraint satisfaction,human-computer interaction,case-based reasoning,robust and fuzzy optimization to solve various dynamic scheduling problems in iron and steel production scheduling scenarios,such as ironmaking,steelmaking-continuous casting,hot rolling,and steelmaking-continuous casting-hot rolling processes.An overview of dynamic scheduling in iron and steel production systems is given.The main process of iron and steel production and its dynamic disturbance factors are introduced.Existing research on dynamic scheduling problems and their solution methods in iron and steel production systems are summarized.The desired demands of the iron and steel industry and the limitations of existing work are analyzed.Finally,the key scientific issues to be solved and future research directions to be explored are indicated,which include knowledge and data-driven high-performance dynamic scheduling algorithms,multi-process collaboration dynamic scheduling problems and their solution methods,and configurable decision support systems.

关 键 词：钢铁制造 不确定性 动态调度 重调度 知识和数据驱动 多工序协同 可配置 

分 类 号：TF70[冶金工程—钢铁冶金] TF51