基于多智能体技术的钢铁生产流程仿真及应用  

Simulation and application of steel production process based on multi-agent technology

作　　者：梁青艳[1,2] 孙彦广 李文兵[1,2] 赵志乾 LIANG Qingyan;SUN Yanguang;LI Wenbing;ZHAO Zhiqian(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92-100,共9页Metallurgical Industry Automation

摘　　要：钢铁制造流程复杂多变、多工序、多约束、非线性耦合,各单元异质异构,难以对其进行数学描述和求解。基于多智能体技术,将各种工艺规则转化为智能体的行为约束,构建了钢铁制造流程多层级网络化智能体动态仿真模型,通过智能体之间的连接、协作、反馈和协调,涌现性呈现不同生产状态下单元工序之间、单元工序与流程之间非线性相互作用形成的自组织行为特征。运行时间的仿真精度在10 min以内的命中率不小于95%,为制定流程运行机制、验证流程优化规则、各工序协同调度提供了定量解析、迭代寻优的新方法。The steel manufacturing process is complex and dynamic,involving multiple stages,numer-ous constraints,and nonlinear couplings.Each unit is heterogeneous and diverse,making it challeng-ing to provide mathematical descriptions and solutions.Based on multi-agent technology,various process rules are transformed into behavioral constraints for intelligent agents.A multi-level net-worked intelligent agent dynamic simulation model for the steel manufacturing process has been con-structed.Through connections,collaboration,feedback,and coordination among intelligent agents,emergent properties vividly demonstrate self-organizing behavior characteristics arising from nonlinear interactions between unit processes under different production states and between unit processes and the overall process.The simulation accuracy for runtime is within 10 minutes,and the hit rate is not less than 95%.This provides a new quantitative and iterative approach for formulating process opera-tional mechanisms,validating process optimization rules,and facilitating collaborative scheduling across different processes.

关 键 词：钢铁企业 生产流程 多智能体 仿真建模 

分 类 号：TF4[冶金工程—钢铁冶金] TP18[自动化与计算机技术—控制理论与控制工程]