Abstract:Traditional industries are a crucial part of the national economy and play an essential role in the development of new quality productive forces. Due to their large scale and major role in the economic structure, these industries face challenges in digital and intelligent transformation. The Industrial Internet platform is key in bridging the gap between old systems and new economic drivers, helping to advance the development of new quality productive forces. A case study of HBIS Group is used to explore the theoretical logic and practical paths of Industrial Internet platforms in this process. The theoretical framework is based on the structure of "data + models + computing power + applications." It focuses on key areas such as factor innovation, technological innovation, industrial upgrading, green development, and industrial park clusters. A three-part empowerment model is created, covering strategic leadership, scenario-driven applications, and ecosystem integration. Five main implementation paths are identified: ensuring independent control and strengthening data foundations; using steel industry strengths to push technological innovation; promoting green development for environmental gains; building an industrial ecosystem for transformation and upgrading; and enhancing industrial park clusters for better collaboration. These insights provide useful guidance and recommendations for developing new quality productive forces in traditional industries.