推动人工智能助力制造业提质增效
Xin Hua Ri Bao·2025-04-16 23:49

Group 1 - BYD has integrated DeepSeek technology, reducing defect rate from 0.3% to 0.05%, avoiding over 200 million yuan in quality losses annually [1] - DeepSeek predicts sulfur content in steel production 15 minutes in advance, saving 8 million yuan per production line each year [1] - The integration of AI and manufacturing is becoming a prominent model, with manufacturing being redefined and modernized [1] Group 2 - Focus on key regions and industries to prioritize the development of "AI + manufacturing" [2] - Support the establishment of intelligent manufacturing pilot zones in regions like Beijing-Tianjin-Hebei, Yangtze River Delta, and Guangdong-Hong Kong-Macau [2] - Develop implementation roadmaps for intelligent manufacturing in sectors such as equipment manufacturing, integrated circuits, and automotive [2] Group 3 - Accelerate the full-process intelligence of manufacturing, creating new models like "intelligent + flexible manufacturing" [3] - Establish AI-driven collaborative cloud manufacturing platforms to enhance remote collaboration and precise control [3] - Promote the integration of advanced manufacturing and modern services, transitioning from production-oriented to service-oriented manufacturing [3] Group 4 - Promote pilot demonstrations of AI in manufacturing, accelerating the "intelligent transformation and digital upgrade" [4] - Implement new technologies like mixed reality, virtual reality, and digital twins in manufacturing processes [4] - Support the development of intelligent workshops and factories to optimize production processes and enhance data connectivity [4]