基于异步并行模型的RH精炼炉智能加料调度策略OA
Intelligent feeding scheduling strategy for RH refining furnace based on asynchronous parallel model
通过分析RH精炼炉加料系统设备及流程特点,对目前多批次物料添加时存在的批次间顺序执行等待问题,进行流程和控制优化.在物料批次横向划分物料单元及控制单元,在设备执行流程纵向上将各处暂存点作为多批次暂存及批次同步区域,建立了以物料及设备状态的数据驱动智能单元,实现了多批次物料在线异步分区执行.节省了整体加料时间,缩短了处理周期,提高了生产效率,取得了良好的应用效果.
By analyzing the equipment and process characteristics of the RH refining furnace feeding system,process and control optimizations were implemented to address the issue of sequential execution delays between batches during multi-batch material addition.Each material batch was horizontally divided into material units and control units.Along the vertical dimension of the equipment execution process,various buffer points were designed to function as multi-batch temporary storage and batch synchronization zones.A data-driven intelligent unit,based on real-time material and equipment status,was established to achieve online asynchronous and partitioned execution of multi-batch materials.As a result,overall feeding time was reduced,processing cycles were shortened,and production efficiency was improved,achieving good application results.
韩俊峰;杨红音;邓杰;刘向;张波;郭高鑫
中国重型机械研究院股份公司,陕西 西安 710018中国重型机械研究院股份公司,陕西 西安 710018中国重型机械研究院股份公司,陕西 西安 710018中国重型机械研究院股份公司,陕西 西安 710018中国重型机械研究院股份公司,陕西 西安 710018中国重型机械研究院股份公司,陕西 西安 710018
矿业与冶金
物料批次称量单元真空料仓智能加料系统异步并行处理
material batchweighing unitvacuum hopperintelligent feeding systemasynchronous parallel processing
《重型机械》 2025 (5)
27-33,7
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