一体化赋能制造业数智转型

Core Viewpoint - The Ministry of Industry and Information Technology has issued the "Action Plan for the Integration of Industrial Internet and Artificial Intelligence," aiming to enhance the synergy between these two technologies to accelerate innovation and promote the digital transformation of the manufacturing sector [1] Group 1: Infrastructure Enhancement - China's industrial internet has transitioned to a high-quality development phase, with a core industry value exceeding 1.5 trillion yuan and a total industry scale approaching 3.5 trillion yuan [2] - The action plan emphasizes the need for further upgrades in infrastructure, focusing on intelligent enhancements in networks, platforms, and computing power to meet the demands of AI applications in industrial settings [2][3] - Specific targets include expanding the new industrial network scale to accommodate over 50,000 enterprises by 2028, alongside fostering intelligent solution providers and promoting technological innovation [3] Group 2: Application Scenarios - China has established the world's largest and most advanced information and communication network, with over 4.83 million 5G base stations, facilitating the integration of industrial internet and AI [4] - The action plan advocates for a scenario-driven approach to accelerate the application of AI in various industrial processes, including design, manufacturing, and operational management [5] - Companies are encouraged to develop intelligent solutions that enhance quality control and operational efficiency, addressing traditional challenges in industrial inspection [4][5] Group 3: High-Quality Industrial Data - The action plan aims to improve the industrial data aggregation, governance, circulation, and sharing system by 2028, creating high-quality data sets in 20 key industries [6] - High-quality industrial data is essential for deepening AI applications in the industrial sector, with the plan outlining a comprehensive technical support system for data lifecycle management [6][7] - Collaboration among leading enterprises and data service providers is necessary to address data standardization and quality control issues, particularly in sectors like steel [8]