摘要
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 transforma-tion of the manufacturing industry.The concept,development context,and current status of the industrial large model are system-atically reviewed,and a theoretical framework for empowering the digital transformation of the manufacturing industry with the in-dustrial large model is proposed.The empowering role of the industrial large model in typical application scenarios of the manufac-turing 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 in-spiration for industrial large models to drive the high-quality development of the manufacturing industry.关键词
工业大模型/制造业/数字化转型/人工智能Key words
industrial large models/manufacturing/digital transformation/artificial intelligence分类
信息技术与安全科学
