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作 者:梁青艳[1,2] 孙彦广 卢春苗[1,2] 赵志乾 李冰[1,2] LIANG Qingyan;SUN Yanguang;U Chunmiao;ZHAO Zhiqian;LI Bing(Automation Research and Design Institute of Metallurgical Industry Co.,Ltd.,Beijing 100071,China;State Key Laboratory of Metallurgical Intelligent Manufacturing System,Beijing 100071,China)
机构地区:[1]冶金自动化研究设计院有限公司,北京100071 [2]冶金智能制造系统全国重点实验室,北京100071
出 处:《冶金自动化》2024年第3期37-44,共8页Metallurgical Industry Automation
摘 要:钢铁企业炼钢-连铸流程的生产调度问题具有多路径、多干扰、多约束、多目标等特征,传统的方法难以适应复杂多变的现场环境。本文对炼钢调度的规则进行了归纳总结,并提出一种与之相适应的基于多智能体技术的仿真优化建模方法。该方法是把复杂的钢铁生产流程抽象为一个多智能体系统,对复杂物流系统进行仿真建模与优化,可充分反映工艺过程细节、时间要求及工艺约束,解决了炼钢厂智能排产及动态调度问题。The production scheduling problem of steelmaking-continuous casting process in steel enterprises has characteristics such as multiple paths,multiple interferences,multiple constraints,and multiple objectives.Traditional methods struggle to adapt to the complex and dynamic on-site environment.The paper summarizes the rules of steelmaking scheduling and proposes a simulation optimization modeling method based on multi-agent technology that is adapted to it.This method abstracts the complex steel production process into a multi-agent system,simulating and optimizing the complex logistics system.It can fully reflect the details of the process,time requirements,and process constraints,addressing the intelligent production scheduling and dynamic scheduling issues in steelmaking plants.
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