当传统钢铁产业与人工智能相遇，会擦出怎样的火花？智能技术重塑传统制造，钢铁冶炼的"黑箱操 作"是如何变得透明可感？记者来到南京钢铁集团有限公司，实地感受数据与智能驱动下，传统钢铁行 业的生产变化。 数字赋能生产 走进南钢智慧运营中心，一块长42米、高6米的超高清管控屏映入眼帘。从料场到烧结，再到高炉、转 炉、轧钢，铁矿石变成成品钢的所有生产环节都清晰呈现，铁矿石运输皮带转速、转炉冶炼温度、钢材 轧制等关键参数一目了然。 "这张'数字工厂全景图'，主要依托数字孪生技术将实时生产数据注入三维模型，把实体工厂转化为数 字工厂。从无人化料场，到烧结、球团、焦化，再到高炉炼铁，轻点鼠标就能实现远程可视化操作，达 成一键炼铁炼钢。"南钢炼铁事业部技术处数字化应用室主任刘永辉介绍，通过虚拟仿真、人工智能等 先进技术，炼铁生产全流程得到优化重组，生产效率和产品质量显著提升。其中，铁水生产一级品率从 人工操作的80%，提高到99%。 在传统钢铁冶炼中，高炉内冶炼属于看不到的"黑箱操作"，产品质量把控依赖工人经验和间接数据。如 今，高炉周边布设了上千个传感器，实时采集炉内图像、温度、压力、煤气流成分等多维度数据，再通 过大模型融 ...

当传统钢铁产业与人工智能相遇，会擦出怎样的火花？智能技术重塑传统制造，钢铁冶炼的"黑箱操 作"是如何变得透明可感？记者来到南京钢铁集团有限公司，实地感受数据与智能驱动下，传统钢铁行 业的生产变化。 创新引领智造 南钢日常生产运营会产生海量数据，如何处理、利用好这些数据资源，成为企业高质量发展的关键。公 司数智转型的核心支撑，是企业自主打造的、以数据治理和人工智能为驱动的企业级"工业大脑"。 "我们自主研发了工业互联网平台，高效采集和整合各类数据。智慧能源管控一体化平台通过对能源管 理、生产调度、设备监控、操作执行等多个环节进行数据共享和协同，实现生产节能降耗。"南钢子公 司江苏金恒信息科技股份有限公司技术发展部副主任马超告诉记者，当前南钢的智能化改造、数字化转 型和网络化连接已迈入第二阶段，人工智能和数据资产化是数智化发展的两大着力点。 南钢正积极探索大语言模型和AI图像识别技术在生产运营、设备运维、客户服务等场景的应用，推动 数智化从"支撑业务"向"驱动创新、创造价值"升级。在数据治理方面，企业构建"云—边—端"三位一体 大数据平台，实现研发、管理和生产业务领域数据的汇聚与互通，对采集数据进行实时监控与校验 ...

走进南钢智慧运营中心，一块长42米、高6米的超高清管控屏映入眼帘。从料场到烧结，再到高炉、转 炉、轧钢，铁矿石变成成品钢的所有生产环节都清晰呈现，铁矿石运输皮带转速、转炉冶炼温度、钢材 轧制等关键参数一目了然。 "这张'数字工厂全景图'，主要依托数字孪生技术将实时生产数据注入三维模型，把实体工厂转化为数 字工厂。从无人化料场，到烧结、球团、焦化，再到高炉炼铁，轻点鼠标就能实现远程可视化操作，达 成一键炼铁炼钢。"南钢炼铁事业部技术处数字化应用室主任刘永辉介绍，通过虚拟仿真、人工智能等 先进技术，炼铁生产全流程得到优化重组，生产效率和产品质量显著提升。其中，铁水生产一级品率从 人工操作的80%，提高到99%。 在传统钢铁冶炼中，高炉内冶炼属于看不到的"黑箱操作"，产品质量把控依赖工人经验和间接数据。如 今，高炉周边布设了上千个传感器，实时采集炉内图像、温度、压力、煤气流成分等多维度数据，再通 过大模型融合工艺机理参数数据进行2小时趋势分析预测，炉温预测准确率超90%。 过去看不见的炉内冶炼过程，如今转化为直观的数字图谱，实现了透明管控。在炉温智能预测、操作炉 型识别及优化、炉况智能诊断等一系列智能化应用模型集群 ...

金陵之冬，创意满城。 紫金山科技城开启"6G迎新派对"，机甲麒麟在繁华商圈"赛博"起舞，牛首山2026架无人机绘出马年元 素……辞旧迎新之际，南京举办128场跨年活动，刷新地铁单日运力纪录，带动元旦旅游消费增长显 著。 被科技点亮的夜空，不仅映照城市温度、治理精度，更展现烟火寻常、活力日常。"创新敢为才能破圈 出彩。"一位网民在"南京发布"留言。 立足产业强市之要，南京做好"转强增育"四篇文章，构筑新质生产力主导的产业高地。 ——"转"型攀峰，传统产业固本开新。入选国家首批领航级智能工厂的南京钢铁集团，上万个传感器如 同"智能神经元"遍布产线。一笔耐磨钢订单刚录入系统，"元冶·钢铁大模型"30秒内即算出最佳生产方 案。"从'经验炼钢'钢花飞溅到'智慧炼钢'数据奔流，铁水罐周转率提升5%，每吨铁水降本200元，仅此 一项每年就节省上亿元。"南钢副总裁朱平说。 面向"十五五"，南京将实施传统产业攀峰计划，推动石化、钢铁等产业向价值链中高端迈进，力争 到"十五五"末，化工新材料占石化产业40%，优特钢占钢铁制造超80%。 ——登高做"强"，新兴产业集群跃升。20世纪60年代，东南大学的查礼冠教授团队，仅凭两张机器人 ...

Core Insights - The article emphasizes the integration of technological innovation and industrial transformation, highlighting how companies are leveraging AI and automation to enhance production efficiency and reduce costs [1][2][3] Group 1: Smart Manufacturing - Companies like Nanjing Steel are utilizing digital twin technology to create interactive 3D models of production lines, leading to increased efficiency and reduced costs [1] - Langbo Technology is enhancing its profitability by investing in automation equipment, which improves production processes and product quality traceability [1] Group 2: Green Transformation - Haiyang Technology has implemented intelligent production lines to address high energy consumption and labor intensity issues, achieving a fully automated manufacturing process that reduces resource consumption and emissions [2] - GCL-Poly Energy's subsidiary, GCL Lithium, focuses on green manufacturing, achieving approximately 50% reductions in investment costs, energy consumption, and overall process costs through innovative production methods [2] Group 3: Technological Innovation - Aviation engine manufacturing is highlighted as a complex system requiring advanced materials and manufacturing techniques, with companies like Hangya Technology developing barriers in precision processing and special treatments [3] - The development of R5-grade mooring chains by Yaxing Anchor Chain demonstrates the importance of understanding downstream demands and collaborating with research institutions to meet industry needs [3] Group 4: Balancing Technology and Market Needs - Companies must adapt to customer application scenarios and maintain competitive costs while ensuring product efficiency and ease of use [4] - Successful technology firms need to excel not only in technical capabilities but also in commercializing their innovations into valuable products for customers [4]

Core Insights - The article discusses the emergence of vertical large models in the manufacturing sector, driven by AI technology, which are transitioning from technical competition to application-focused strategies [1][2] Group 1: Industry Developments - The 2025 World Intelligent Manufacturing Conference highlighted the launch of three vertical large models rooted in industrial scenarios, with key software companies like Zhongshu Chuanghe and Jin Heng Technology emerging in the Jiangbei New Area [1] - The vertical large models aim to address core pain points in industries such as rail transportation and ship manufacturing, focusing on breaking down information silos and reliance on experience [4][5] Group 2: Technological Innovations - Zhongshu Chuanghe's "Zhongshu Zhiqing Large Model" integrates data engineering and retrieval-augmented generation (RAG) technology to create high-quality industry-specific datasets, enhancing the decision-making process in manufacturing [4][6] - Jin Heng Technology's "Yuan Ye Steel Large Model" combines various AI models and industry mechanism models to create a dual-brain intelligent model cluster, addressing the complexities of the steel manufacturing process [5][8] Group 3: Application and Impact - The application of vertical large models has led to significant efficiency improvements, such as a 74.36% green electricity ratio and a carbon reduction of 335 tons in the Nanjing Tianjia Energy Zero Carbon Factory project [7] - The models facilitate a comprehensive reconstruction of industrial processes, enabling a shift from traditional automation to autonomous intelligence, thereby enhancing operational efficiency across the manufacturing value chain [6][8] Group 4: Collaborative Ecosystem - The establishment of an AI innovation ecosystem in Jiangbei New Area aims to foster collaboration among universities, enterprises, and research institutions, enhancing the adaptability and applicability of AI technologies in the manufacturing sector [10][11] - The initiative encourages a collaborative innovation network, focusing on original breakthroughs and scene empowerment to accelerate the integration of AI in intelligent manufacturing [11]

Core Insights - Nanjing International Expo Center hosted the 2025 World Intelligent Manufacturing Conference from November 27 to 29, where Nanjing Steel (600282.SH) was recognized as one of the first national leading intelligent factories and included in the top ten technological advancements in intelligent manufacturing in China for 2025 [1] Group 1: Evolution of Nanjing Steel's Intelligent Factory - The evolution of Nanjing Steel's leading intelligent factory has been a profound transformation lasting over 20 years, characterized by a clear strategy and continuous iteration [4] - Key milestones include the launch of the first integrated production management system in 2003, recognition as a national-level deep integration demonstration enterprise in 2012, and the establishment of a transformation goal towards "industrial intelligence and intelligent industry" in 2015 [4] - Nanjing Steel has developed a five-level digital twin covering "equipment - production line - factory - enterprise - ecosystem," achieving a comprehensive digital layout from "point" to "surface" [4] Group 2: Intelligent Applications and Data Management - Nanjing Steel has implemented a three-year action plan called "Artificial Intelligence Hundred Scenes Thousand Models," integrating AI technology deeply with steel processes, resulting in over 30 intelligent applications across various scenarios [5] - The company has established a unique full-domain data collection and governance system with over one million data collection points, achieving real-time perception and aggregation of the entire steel production process [5] - Nanjing Steel has achieved a core data lake entry rate of over 95%, providing a high-quality data foundation for intelligent manufacturing and has been recognized as a pilot for innovative development of trustworthy data spaces by the National Data Bureau [5] Group 3: Value Enhancement through Intelligent Manufacturing - Intelligent manufacturing has led to comprehensive value enhancement, with Nanjing Steel achieving 100% rates in key equipment CNC and networking [6] - The new product development cycle has been shortened by 50% compared to traditional models, while comprehensive energy consumption per unit output has decreased by 12% [6] - The total ownership cost of the industrial chain has been reduced by 9%, and delivery cycles have decreased by 15%, with a notable reduction of over 40 yuan in the cost per ton of iron through a closed-loop system of "perception - analysis - decision" [6] Group 4: Industry Impact and Collaboration - Nanjing Steel has systematically output its accumulated technologies, experiences, and solutions from digital transformation through various technology platform companies, successfully applying its intelligent manufacturing solutions to over 100 enterprises across multiple sectors [6] - The company has established a collaborative innovation ecosystem by deeply connecting upstream suppliers, downstream customers, and relevant partners, forming a win-win development pattern [5] - At the conference, Nanjing Steel showcased a complete intelligent manufacturing display system, illustrating its strategic layout and practical achievements in digital transformation [7]

Core Insights - Nanjing Steel Co., Ltd. (南钢股份) is transforming into a smart manufacturing enterprise through the implementation of JIT+C2M technology, enhancing production efficiency and customization capabilities [4][5][7] - The company has established a Smart Operations Center that integrates manufacturing, operations, and ecology, leading to a 10% improvement in production stability, a 2% increase in output, and a 10% reduction in costs [5][6] - Nanjing Steel is recognized as a leading smart factory in China, reflecting its successful transition from traditional manufacturing to a more intelligent and data-driven approach [8][9] Digital Transformation - The company has adopted a digital governance framework that utilizes over 138 intelligent models for operational efficiency, resulting in a 20% reduction in quality costs and a 20% increase in labor efficiency [6][9] - Nanjing Steel's digital research institute successfully produced customized steel parts using advanced technologies like digital twins and 3D printing, showcasing its innovative capabilities [5][7] Market Positioning - By restructuring its sales, research, manufacturing, and service processes, Nanjing Steel has shifted from a product manufacturer to a materials solution provider, allowing it to better meet customer demands for small-batch and personalized orders [7] - The company aims to enhance market prediction accuracy for key materials from 70% to over 80% through the development of a comprehensive data-driven forecasting model [9][10] Future Outlook - Nanjing Steel is collaborating with Huawei to advance its AI capabilities and has launched the "Yuan Ye·Steel Big Model" framework to further enhance its smart manufacturing and digital operations [9][10] - The company is committed to driving innovation and technological advancements in the steel industry, positioning itself for high-quality growth in the future [10]

Core Insights - Jiangsu's economy demonstrates robust growth, with a projected GDP of 13.7 trillion yuan in 2024, leading the nation in growth increment [3] - The province's manufacturing sector is significant, contributing approximately 14% to the national manufacturing value added [3] - Jiangsu's industrial structure is evolving, with strategic emerging industries accounting for 41.8% of the industrial output in 2024, and high-tech industries surpassing 50% for the first time [3] Economic Strength - Jiangsu's GDP growth rate is projected to be the highest in the country, with a manufacturing value added of 4.66 trillion yuan [3] - The province's industrial output saw a year-on-year increase of 7.4% in the first half of the year, outpacing the national average by 1 percentage point [3] - The number of core enterprises in future industries exceeds 3,100, with a revenue scale surpassing 750 billion yuan [3] Regional Characteristics - Jiangsu has cultivated 14 national advanced manufacturing clusters, the highest in the country, promoting balanced regional development [5] - The income disparity between southern and northern Jiangsu has narrowed significantly, with per capita GDP and disposable income ratios decreasing to 1.86 and 1.80, respectively [5] Industrial Diversity - Jiangsu's manufacturing sector encompasses 31 major categories and over 500 subcategories, making it one of the most diverse in the nation [7] - The province is developing a "1650" industrial system, focusing on 16 advanced manufacturing clusters and 50 industrial chains [7] Innovation and Transformation - Traditional industries in Jiangsu are undergoing digital transformation, with over 56,000 projects implemented since 2022 [9] - The province leads the nation in the integration of digital and intelligent manufacturing, with a CNC rate of 70.1% for key processes [9] Private Sector Dynamics - Private enterprises are pivotal in driving new productive forces in Jiangsu, with significant investments in R&D despite long payback periods [10] - The government is fostering a supportive environment for private businesses, encouraging investment across various sectors [11] Government Support - Jiangsu's government is strategically planning the development of industries, facilitating supply-demand matching and optimizing services [13] - The province has launched a strategic emerging industry fund to enhance financing channels for innovative sectors [17] Global and Domestic Market Expansion - Jiangsu companies are increasingly focusing on international markets, with notable export growth and overseas production bases being established [15][16] - Domestic market potential is also being tapped, with companies like Tiangong International targeting high-end precision tools [16] Financial Ecosystem - Jiangsu has developed a multi-tiered capital market, supporting technology and industry innovation through various financing mechanisms [17] - The establishment of a strategic emerging industry fund aims to connect industry capital with financial resources, enhancing support for innovative enterprises [17]

Core Insights - Jiangsu's economy demonstrates robust growth, with a projected GDP of 13.7 trillion yuan in 2024, leading the nation in economic increment [4] - The province's manufacturing sector is significant, contributing approximately 14% to the national manufacturing value added [4] - Jiangsu's industrial structure is evolving, with strategic emerging industries accounting for 41.8% of the industrial output, and high-tech industries surpassing 50% for the first time [6] Economic Strength - Jiangsu's GDP growth is projected to be the highest in the nation, with a manufacturing value added of 4.66 trillion yuan [4] - The province's industrial output increased by 7.4% year-on-year in the first half of the year, outpacing the national growth rate by 1 percentage point [4] - The region has cultivated over 3,100 core enterprises in future industries, generating revenue exceeding 750 billion yuan [6] Structural Optimization - The share of strategic emerging industries in Jiangsu's industrial output is set to reach 41.8% in 2024, with high-tech industries' output rising to 51.8% in the first half of the year [6] - Jiangsu's manufacturing sector encompasses 31 major categories, 191 medium categories, and over 500 minor categories, making it one of the most comprehensive in the country [12] - The province aims to develop a "1650" industrial system, focusing on 16 advanced manufacturing clusters and 50 industrial chains [13] Regional Collaboration - Jiangsu has established 14 national advanced manufacturing clusters, the highest in the country, promoting balanced regional development [10] - The income disparity between southern and northern Jiangsu has narrowed significantly, with per capita GDP and disposable income ratios decreasing to 1.86 and 1.80, respectively [10] - The province's government is actively fostering an environment conducive to private enterprise growth, enhancing market competition and resource allocation [16] Innovation and Transformation - Traditional industries in Jiangsu are undergoing digital transformation, with over 56,000 projects implemented to enhance efficiency and reduce costs [14] - The province has prioritized the integration of technology and industry, focusing on original innovations and key core technologies [20] - Jiangsu's private enterprises are pivotal in driving new productivity, with many achieving significant advancements in niche markets [15] Financial Ecosystem - Jiangsu has developed a multi-tiered capital market, ranking third in the number of listed companies nationwide, which supports technological and industrial innovation [23] - The establishment of a 500 billion yuan strategic emerging industry fund aims to enhance financing channels for innovative enterprises [23] - The province's financial policies are designed to facilitate the growth of technology-driven companies, ensuring a sustainable cycle between finance and industry [23]