Core Insights - The integration of AI in the steel industry is seen as a crucial step towards achieving high-end, intelligent, and green development, as emphasized by industry leaders [1][2]. Group 1: Digital Transformation Initiatives - The China Iron and Steel Association has prioritized digital transformation as one of the three major projects in the industry, launching a three-year action plan for digital transformation [1]. - The association has released guidelines for the construction of intelligent manufacturing standards and digital transformation projects in the steel industry [1]. Group 2: AI Applications and Innovations - AI applications in the steel industry have shown promising results in optimizing production processes, quality control, and supply chain management [1]. - The "human-machine hybrid intelligence" model proposed by Northeast University aims to address the "black box" nature of steel production, enabling high-fidelity online predictions throughout the entire process [2]. Group 3: Environmental Sustainability - The development of AI in the steel sector is expected to promote green and sustainable practices, contributing to energy conservation and environmental protection [1]. - The establishment of a cross-enterprise and cross-industry AI ecosystem is anticipated to enhance collaboration among steel companies, upstream and downstream enterprises, research institutions, and technology service providers [1]. Group 4: Technical Advancements - The shift from experience-driven to intelligent decision-making in ironmaking is highlighted as a key trend, with mixed intelligence empowering the process [3]. - A new intelligent steelmaking system has been developed that combines knowledge-driven and data-driven approaches to address traditional challenges in steel production [3].

当前，中国钢铁行业正处于从数字化向智能化迈进的关键阶段。有业内专家提出，新一代人工智能(AI) 有望成为驱动中国钢铁行业高质量发展的新引擎。 中国钢铁工业协会党委副书记、副会长兼秘书长姜维18日在北京召开的"AI+钢铁"技术发布会上强调， 钢铁产业是我国重要基础产业，拥有庞大的产业规模、深厚的应用积淀和高质量发展的迫切需求，是新 一代人工智能深度赋能的最佳实践场。 冶金工业信息标准研究院院长张龙强说，人工智能在钢铁行业应用前景广阔，已在生产流程优化、质量 控制、供应链管理方面取得积极进展。未来，"AI+钢铁"有更为广阔的发展空间。随着大模型技术的深 入应用，将进一步穿透钢铁生产流程的"黑箱"，贯通数据孤岛，破解资源调度困局，实现钢铁生产全流 程的智能化和精细化管理。 东北大学党委书记郭海指出，钢铁产业是国家工业脊梁，AI是创新引擎，两者深度融合是实现高端 化、智能化、绿色化的必由之路。东北大学率先提出破解钢铁生产"黑箱"的"人机混合智能"模式，实现 全流程在线高保真预测，技术已在多家钢企落地。 东北大学"AI+钢铁"大模型是通过基于铁前大数据的智能配矿系统，不仅能够有效降低吨铁能源消耗， 减少碳排放，还可对渣 ...

Core Insights - Nanjing Steel Co., Ltd. (Nanjing Steel) is leveraging advanced digital and intelligent technologies to transform its operations and enhance its competitiveness in the steel industry [1][2][4]. Group 1: Digital Transformation Initiatives - Nanjing Steel has initiated a comprehensive data governance program, achieving over 90% core data asset integration into a centralized data lake, and became one of the first listed companies in China to report digital assets exceeding 10 million yuan in 2024 [2]. - The company launched a three-year action plan called "Artificial Intelligence Hundred Scenes Thousand Models," collaborating with Huawei to build a vertical model base for the steel industry, facilitating real-time data flow and algorithm iteration [2][4]. Group 2: AI Applications in Production - Nanjing Steel has implemented an intelligent peak-valley optimization scheduling system, which improved energy utilization efficiency by 4.24 times, generating an additional 6.55 million kWh of electricity in 2024 [4]. - The company has enhanced the mechanical performance prediction of carbon-manganese low-temperature steel, increasing product performance qualification rates by over 1.5% through advanced data analysis and real-time monitoring [5]. - An AI-driven coal blending system has reduced the blending time from 1-2 days to 1-2 minutes, lowering the cost of coke by 5-10 yuan per ton [7]. Group 3: Quality Control and Process Optimization - Nanjing Steel has developed a new AI prediction engine for rolling force, enabling rapid modeling and high-precision predictions across various steel grades and conditions [7]. - The implementation of AI visual models for quality inspection has significantly improved defect detection capabilities, addressing challenges related to sample scarcity and variability [7][9]. Group 4: Future Directions and Collaborations - The collaboration with Huawei Cloud Stack is not only a technological partnership but also aims to establish a new paradigm for industrial intelligence, reflecting the broader transformation of the Chinese steel industry [9][10].