智慧炼钢系统
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新春走基层|一家炼钢厂的“数字大脑”
Bei Jing Ri Bao Ke Hu Duan· 2026-02-15 01:14
Core Insights - The company has implemented a "smart steelmaking" system that integrates artificial intelligence and big data analysis to optimize the steel production process, significantly enhancing efficiency and safety [1][2]. Group 1: Technological Innovation - The steelmaking process has transitioned from experience-based judgment to data-driven decision-making, utilizing a "digital brain" for production [1]. - The company has established a research team to incorporate AI technology into the steelmaking process, employing nearly ten recognition systems for various sensory analyses [1]. Group 2: Production Efficiency - The "smart steelmaking" system has been operational for a year, achieving approximately a 30% increase in production efficiency through one-click operations for major processes [2]. - The facility currently utilizes over 60 robots, which enhance production stability and quality inspection accuracy while significantly reducing safety risks [2].
一家炼钢厂的“数字大脑”(新春走基层)
Ren Min Ri Bao· 2026-02-14 23:37
Core Insights - The implementation of the "Smart Steelmaking" system has significantly transformed the production process at Shandong Steel, enhancing efficiency and safety through automation and data-driven decision-making [1][2] Group 1: Technological Innovation - Shandong Steel has integrated artificial intelligence into the steelmaking process, utilizing big data analysis and machine learning to optimize operational parameters [1] - The company has developed nearly 10 recognition systems, including visual flame recognition and audio slag analysis, to provide decision support during steel production [1] Group 2: Production Efficiency - The "Smart Steelmaking" system has enabled one-click operation for major production processes, resulting in a production efficiency increase of approximately 30% [2] - The facility currently employs over 60 robots, which enhance production stability and quality inspection accuracy while significantly reducing safety risks [2]