重型机械Issue(5)：27-33,7.
基于异步并行模型的RH精炼炉智能加料调度策略
Intelligent feeding scheduling strategy for RH refining furnace based on asynchronous parallel model
韩俊峰 1杨红音 1邓杰 1刘向 1张波 1郭高鑫1
作者信息
- 1. 中国重型机械研究院股份公司,陕西 西安 710018
- 折叠
摘要
Abstract
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.关键词
物料批次/称量单元/真空料仓/智能加料系统/异步并行处理Key words
material batch/weighing unit/vacuum hopper/intelligent feeding system/asynchronous parallel processing分类
矿业与冶金引用本文复制引用
韩俊峰,杨红音,邓杰,刘向,张波,郭高鑫..基于异步并行模型的RH精炼炉智能加料调度策略[J].重型机械,2025,(5):27-33,7.
