Core Viewpoint - The article highlights the efforts of a research team led by Wang Guodong at Northeast University to innovate and digitize the steel production process, emphasizing the importance of AI integration in addressing industry challenges and enhancing production efficiency [1][2][3]. Group 1: Digital Transformation in Steel Industry - The digital production line being developed allows for flexible production of different steel types and specifications under the same composition system, with plans to establish about 20 integrated digital model lines in the next five years [1]. - The team has been working on creating a digital twin model to accurately depict the "black box" of steel production processes, enabling deep learning applications in the industry [2]. Group 2: Technological Innovations and Benefits - The intelligent system developed for blast furnace ironmaking has been implemented at a steel plant, resulting in a 30% improvement in furnace temperature stability and a 5% reduction in CO2 emissions per ton of iron, generating an annual benefit of 120 million yuan [2]. - The research center has focused on disruptive and cutting-edge technologies, achieving advancements in digital ironmaking, smart blast furnaces, and generative AI hot rolling production lines [2]. Group 3: Collaborative Research and Future Outlook - A collaborative model involving scientists and engineers has been established, allowing for seamless integration of research outcomes into production operations, thereby enhancing the efficiency of production lines [3]. - The team aims to continue focusing on key aspects of the industrial chain, leveraging digital transformation and AI to support infrastructure upgrades and improve product quality in the steel sector [3].