Core Viewpoint - The article emphasizes the need for seamless integration between innovation chains and industrial chains, highlighting the transformation of manufacturing towards smart manufacturing and digitalization, moving beyond traditional industrial classifications [1] Group 1: Transformation of Manufacturing - The manufacturing sector is undergoing profound changes, shifting from traditional industrial practices to smart manufacturing, driven by technologies such as AI, blockchain, big data, and cloud computing [1][3] - The traditional reliance on automation and electronic technologies is evolving, with AI becoming a new productive force and data emerging as a critical production resource [1] Group 2: New Manufacturing Framework - A new triadic spatial perspective is proposed, integrating human society, physical society, and information network space, with the C2M (Customer to Manufacturer) model facilitating personalized manufacturing [2] - The future manufacturing system is expected to expand into new areas, such as low-altitude economies, leveraging digital twin technology and large model applications [2] Group 3: Challenges and Strategies - The uneven development of China's manufacturing industry poses challenges, including disparities in regional industrial structures and digitalization levels [2] - The transition to smart manufacturing requires overcoming complex technological systems and upgrading traditional factory management frameworks to industrial internet solutions [2][3] Group 4: Technological Drivers and Ecosystem - Future smart manufacturing will rely on five key technological drivers: "Internet+" for data access, "Big Data+" for data assetization, "AI+" for algorithmic improvements, "Mobile Communication+" for efficiency, and "Blockchain+" for trust mechanisms [4] - The success of China's manufacturing sector will depend not only on technological advancements but also on building a comprehensive industrial ecosystem to enhance competitiveness in international markets [4] Group 5: High-Quality Development Path - The path to smart manufacturing differs fundamentally from traditional automation, focusing on value enhancement alongside efficiency [5] - The recent breakthroughs in AI, such as those by DeepSeek, signify the need for increased technological investment and confidence in China's manufacturing sector as it aims for high-quality development from 2035 to 2049 [5]
观点|从全球视角看“中国制造2025”与未来产业发展
Sou Hu Cai Jing·2025-07-01 09:39