摘要
Abstract
With the development of industrial intelligence,in order to solve the problems of poor visibility of existing system models,non-intuitive display of process data,reliance on manual operation of process equipment,discrete and non-real-time data entry,and insufficient safety supervision of operators in the electrorefining tankhouse.A digital twin system has been developed,which includes ten functions:plant modeling,equipment health management,process data visualization,historical tracing,emergency drills,data reporting and analysis,personnel tracking,remote control of units,interlocking control within the workshop,and multi-source data integration.The digital twin system bridges the data islands between different systems and comprehensively collects data from the workshop.Based on the digital twin,big data technologies are applied along with specific algorithms to enable data analysis and prediction,ultimately leading to improved product yield,optimized industrial structure,reduced costs,and reduced personnel requirements.关键词
数字孪生/有色冶金行业/电解精炼车间/UE5.0/数据可视化Key words
Digital Twin/Nonferrous Metallurgy Industry/Electrorefining Tankhouse/UE5.0、Data Visualization分类
信息技术与安全科学
