科技智囊Issue(4)：19-25,7.DOI:10.19881/j.cnki.1006-3676.2025.04.03
人工智能赋能传统制造业升级的路径、挑战与建议
The Pathways,Challenges,and Recommendations for Artificial Intelligence in Empowering the Upgrading of Traditional Manufacturing Industries
摘要
Abstract
[Research purpose]The traditional manufacturing industry is the key basis of China's modernization of the industrial system.The path selection of the transformation and upgrading of the traditional manufacturing industry has become a key problem to be solved in the process of promoting the new industrialization,and artificial intelligence is an important variable leading the industrial transformation at present.Therefore,exploring the pathways of artificial intelligence enabling the upgrading of traditional manufacturing industry can provide a useful reference for the improvement of industrial competitiveness and high-quality development.[Research method]This paper firstly analyzes the internal and external situation of the upgrading of traditional manufacturing industry empowered by artificial intelligence,and then summarizes the state of the art of artificial intelligence and the realistic basis of promoting the upgrading of traditional manufacturing industry from the perspective of computing power algorithm,data scale and application scenarios.On this basis,the enabling path of artificial intelligence to the upgrading of traditional manufacturing industry is deeply analyzed,and the existing problems and challenges are further summarized,and finally feasible countermeasures and suggestions are put forward.[Research conclusion]It found that the transformation and upgrading of traditional manufacturing industry empowered by artificial intelligence is an inevitable choice under the new situation and new environment of internal and external development.China has advantages in computing power algorithm,data scale and application scenarios.At present,artificial intelligence mainly relies on the transformation and upgrading of traditional manufacturing industry,such as size model,embodied intelligence,generative AI and digital twin.However,there are still some problems such as unclear advantages of underlying technology,unbalanced development of computing power system,difficulties in corpus database construction.It is necessary to accelerate the construction of integrated computing power service system and promote the coordinated development of large and small models.Breaking the bottleneck of data resources,it promotes technology empowerment in an orderly manner"point-line-plane",so as to establish and improve the ecological empowerment system.关键词
人工智能/传统制造业/产业转型升级/算力网络/数据规模Key words
artificial intelligence/traditional manufacturing/industrial transformation and upgrading/computing power network/data scale分类
经济学引用本文复制引用
金永花,辛伟涛,王珊珊..人工智能赋能传统制造业升级的路径、挑战与建议[J].科技智囊,2025,(4):19-25,7.基金项目
广东省哲学社会科学规划学科共建项目"非家族股东对家族企业环境行为的影响及机制研究"(GD23XGL049). （GD23XGL049）
