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    • 炼钢–连铸区段的协同智造

    刘青, 兰模, 信自成,张江山

    doaj（2025）

    Cited 0|Views3
    Abstract
    在阐述炼钢–连铸区段协同智造技术架构的基础上，本文从工序/装置的过程制造到炼钢–连铸区段制造进行了较为系统的建模研发，首先，在工序/装置层构建了转炉炼钢、钢包精炼和连铸的工艺控制模型；其次，在工序衔接层和生产计划与调度层构建了多工序协调控制模型，并通过研发关键工序工艺控制模型、生产计划与调度模型、制造执行系统（MES）同动态知识图谱和数字孪生系统之间的数据接口，实现了MES与生产工艺、流程运行、生产计划与调度之间的有机融合与动态协同，以及认知知识图谱的自主进化和虚拟空间孪生体的可视化运行；最后，完成了从炼钢–连铸区段工序/装置层到计划与调度层再到系统综合层最终到认知知识图谱和数字孪生系统的全方位建模研发.通过机理模型、数据模型与专家知识的协同驱动和虚实模型间的双向交互联动，以及多工序的横向协同与多层级之间的纵向协同，实现了炼钢–连铸区段的协同运行与动态决策.本文从炼钢-连铸流程全局出发进行了系统创新与实践，研究成果对冶金工业高端化、智能化、绿色化发展具有重要的参考价值，对流程工业企业智能制造也有很强的借鉴意义，可为钢铁工业发展新质生产力、解决“卡脖子”问题提供强有力支撑.
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    Key words
    steelmaking-continuous casting section,process model,production operation mode,planning and scheduling,operation evaluation,data interface,collaborative control,dynamic decision-making
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    • Pretraining has recently greatly promoted the development of natural language processing (NLP)
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