冶金动力Issue(3)：12-16,5.
工业大数据赋能炼铁精益生产的研究与应用
Research and Application of Industrial Big Data in Empowering Lean Ironmaking Production
李明亮 1莫朝兴 2谢庆生 3李宏玉2
作者信息
- 1. 广西柳钢中金不锈钢有限公司,广西 玉林 537699
- 2. 广西柳州钢铁集团有限公司,广西 柳州 545002
- 3. 广西钢铁集团有限公司,广西 防城港 538000
- 折叠
摘要
Abstract
The blast furnace interior essentially functions as a"black box",where conven-tional measurement techniques fail to provide direct and accurate reflections of internal production conditions,making operational assessment challenging for furnace operators.To address this issue,leveraging the data architecture and characteristics of ironmaking processes,statistical and machine learning methodologies were employed to analyze and utilize industrial big data generated during pro-duction.This approach transforms data analysis into mathematical models,enabling timely identifi-cation of ironmaking patterns,extraction of operational knowledge,and ultimately facilitating preci-sion production and performance enhancement in blast furnace operations.关键词
大数据/炼铁/高炉/精益生产Key words
big data/ironmaking/blast furnace/lean production分类
计算机与自动化引用本文复制引用
李明亮,莫朝兴,谢庆生,李宏玉..工业大数据赋能炼铁精益生产的研究与应用[J].冶金动力,2025,(3):12-16,5.
