The path and countermeasures of empowering manufacturing digital transformation with industrial large models
Qin Zheng1, Li Yutao2, Guo Shufang1
1.China Industrial Control Systems Cyber Emergency Response Team；2.University of Chinese Academy of Sciences
Abstract： Against the backdrop of the global manufacturing industry accelerating towards digitization and intelligence, industrial large models, as a new generation of intelligent technology, are becoming an important engine for promoting the digital transformation of the manufacturing industry. The concept, development context, and current status of the industrial large model are systematically reviewed, and a theoretical framework for empowering the digital transformation of the manufacturing industry with the industrial large model is proposed. The empowering role of the industrial large model in typical application scenarios of the manufacturing industry, such as research and development design, production and manufacturing, operation and maintenance services, business management, and supply chain management, is elaborated in detail. In response to the challenges faced by industrial large models in the process of deep application, such as the lack of high-quality training data, fragmented distribution of industrial scenarios, lack of robustness in industrial applications, vigilance against key scenario risks, and insufficient computing and system capabilities, this paper further explores the methods and paths to empower the digital transformation of the manufacturing industry, and proposes countermeasures and suggestions from multiple dimensions such as policy mechanisms, demonstration guidance, standard systems, independent innovation, safety resilience, and talent cultivation, in order to provide valuable reference and inspiration for industrial large models to drive the high-quality development of the manufacturing industry.
Key words : industrial large models; manufacturing; digital transformation; artificial intelligence
