工信部等四部门发布!打造汽车行业具身智能示范产线
Zhong Guo Zheng Quan Bao·2025-12-30 12:11

Core Viewpoint - The Ministry of Industry and Information Technology, along with other departments, has issued a digital transformation implementation plan for the automotive industry, focusing on smart manufacturing and the integration of new technologies like artificial intelligence to enhance supply chain resilience and safety. Group 1: Development Goals - The plan outlines two phases of development: by 2027, deep integration of digital technologies in various business processes is expected to significantly improve manufacturing maturity and efficiency, while by 2030, the overall digital transformation of the industry should reach a high level [1][2] - Specific targets for 2027 include elevating the smart manufacturing capability of benchmark vehicle manufacturers, achieving over 95% penetration of R&D design tools, and a 10% increase in overall labor productivity compared to 2025 [2] Group 2: Key Actions - The plan includes six major actions and 15 specific requirements, such as diagnostic assessments, empowering small and medium-sized enterprises (SMEs) in digital transformation, and promoting typical scenarios and AI applications [2] - It emphasizes the establishment of industry alliances to support the digital and smart manufacturing development of both large and small enterprises [3] Group 3: Digital Transformation for SMEs - The plan advocates for a phased approach to digital transformation for automotive parts SMEs, focusing on upgrading equipment and implementing key technology updates [4] - It encourages the construction of 5G factories and the promotion of "5G + Industrial Internet" applications, aiming to enhance collaboration across the supply chain [4] Group 4: AI and Smart Manufacturing - The plan aims to cultivate typical scenarios and solutions for AI applications, particularly in software development, intelligent process planning, and virtual debugging [4] - It promotes the large-scale application of intelligent robots in welding, painting, and assembly processes, establishing demonstration production lines for embodied intelligence in the automotive sector [4]