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培育“AI超级员工”赋能上海制造 《上海市加快推动“AI+制造”发展的实施方案》公布
Jie Fang Ri Bao·2025-08-20 01:56

Core Viewpoint - The implementation plan for accelerating "AI + manufacturing" development in Shanghai aims to enhance the integration of AI in the manufacturing sector, targeting 3,000 enterprises for smart applications over three years, with the goal of creating benchmark models and products [1][2][3] Group 1: AI Integration in Manufacturing - The plan seeks to establish 10 industry benchmark models and promote 100 demonstration application scenarios, with an emphasis on transforming manufacturing enterprises from having ideas to actual implementation [1][2] - AI has already been applied in various manufacturing scenarios, such as design and operational efficiency in wind power plants, where Shanghai Electric improved design efficiency by at least 30% through AI algorithms [1][2] Group 2: Industry-Specific AI Models - The first phase of the plan focuses on 10 key industries, including high-end equipment, steel, integrated circuits, electronics, automotive, shipbuilding, aerospace, advanced materials, fashion consumer goods, and pharmaceutical manufacturing [3][4] - Successful case studies, such as the steel industry model developed by Huayuan Computing, demonstrate the potential of AI to significantly enhance quality control, achieving a defect detection accuracy of 98% [2][3] Group 3: Overcoming Challenges - The plan addresses the high barriers to entry, operational costs, and safety risks associated with industrial AI, emphasizing the need for high-quality data governance to convert industrial data into productivity [3][4] - Shanghai is establishing a closed-loop system for technology breakthroughs, scene implementation, and ecological collaboration, which includes the creation of three major platforms to reduce the barriers to AI model usage [4][5] Group 4: Support for Enterprises - The Shanghai municipal government has allocated 200 million yuan in support funds for manufacturing enterprises to adopt AI technologies, with a significant portion of applicants being private enterprises [5]