特钢厂炼钢-浇铸流程作业调度优化仿真模型  

STUDY ON OPTIMIZATION MODEL FOR JOB SCHEDULING OF STEEL-MAKING AND POURING PROCESS IN SPECIAL STEEL PLANT

作　　者：梁青艳[1] 孙彦广[1] Liang Qingyan;Sun Yanguang(Automation Research and Design Institute of Metallurgical Industry,China Iron and Steel Research Institute Group,Beijing 100071,China)

机构地区：[1]中国钢研科技集团冶金自动化研究设计院

出　　处：《计算机应用与软件》2019年第8期255-261,共7页Computer Applications and Software

基　　金：国家重点研发计划专项(2017YFB0304000)

摘　　要：智能化的作业排产及调度问题是钢铁行业急需解决的难点,传统方法难以适应复杂多变的现场环境。针对这种情况提出一种基于多智能体理论的作业调度优化模型。模型定义针对钢铁行业的 4类智能体,并提出智能体之间任务分配机制及上下游作业协调机制。仿真分析表明,所建模型能有效解决实际调度中炼钢和浇铸节奏协调性问题,使生产节奏更加紧密连贯,极大地提高了生产效率。该智能体模型以及任务协调机制框架具有普适性,为钢铁行业作业调度精细化、智能化的发展提供了可行性。The intelligent job scheduling and scheduling problem is so urgent that the steel industry needs to solve it critically.The traditional method is difficult to adapt to the complex and varied on-site environment.A job scheduling optimization model based on multi-agent theory was proposed under this circumstance.The model defined four types of agents for the steel industry,and proposed the task distribution mechanism between agents and the coordination mechanism of upstream and downstream operations.The simulation analysis shows that the model can effectively solve the problem of coordination of steelmaking and pouring rhythm in actual scheduling,and make production rhythm more closely and coherently,and greatly improving production efficiency.The framework of the agent model and the task coordination mechanism proposed in this paper is universal,and provides feasibility for the refinement and intelligent development of job scheduling in the steel industry.

关 键 词：特钢厂 作业调度 多智能体 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]