摘要
伴随着钢铁企业信息化建设的推进,各生产工艺流程环节产生的数据量大幅增长,尤其是钢铁原料物流数据,展现出了广泛性、关联性、多样性、动态性和复杂性。为了充分地挖掘数据的价值,针对某钢厂的炼钢原料物流数据,利用大数据平台,采用ETL数据抽取技术与个性数据汇聚开发相结合的方式,成功构建了原料数据仓库,并实现了炼钢原料数据的可视化管理及深度分析,同时圆满完成对钢铁企业原料物流信息数据的挖掘处理分析。
With the advancement of information construction for iron and steel enterprises,the data volume generated in various production technology process links is increased significantly,especially the data for raw materials and logistics of iron and steel,which shows universality,relevance,diversity,dynamism and complexity.In order to explore data values fully,the data warehouse of raw materials is successfully established,visualization management and deep analysis for raw material data of steelmaking are realized as well as mining,processing and analysis of data for raw materials and logistics of iron and steel enterprises are completed successfully with the big data platform,combining the ETL(extract,transform,load)data extraction technology with converging and developing personalized data aiming at the data for raw materials and logistics of steelmaking for a steel mill.
作者
王宏
钱松
赵菲
Wang Hong;Qian Song;Zhao Fei(Inner Mongolia Xinlian Information Industry Co.,Baotou 014010,Inner Mongolia Autonomous Region,China)
出处
《包钢科技》
2025年第2期1-4,19,共5页
Science & Technology of Baotou Steel
关键词
数据大屏
可视化管理
数据治理
钢铁原料物流
large data screen
visualization management
data governance
raw materials and logistics of iron and steel
