摘要
随着制造业向智能化转型,大模型凭借其强大的理解、生成与泛化能力,正成为推动制造业数字化转型的核心驱动力。文章总结了大模型在工业领域的核心技术,聚焦研发设计、生产制造、设备运维、经营管理及供应链管理等关键场景,分析大模型在效率提升、成本优化中的实际价值,通过石化、矿山、汽车制造等行业的典型实践案例,总结可复制的产业升级路径。
With the intelligent transformation of the manufacturing industry,large-scale models are emerging as a core driving force for digital transformation within the sector,leveraging their powerful capabilities in comprehension,generation,and generalization.The study summarizes the core technologies of large-scale models applied in the industrial domain,focusing on key scenarios including R&D and design,production and manufacturing,equipment maintenance,business management,and logistics and supply.It analyzes the practical value of these models in enhancing efficiency and optimizing costs.Through representative case studies from industries such as petrochemicals,mining,and automotive manufacturing,the paper concludes by outlining replicable pathways for industrial upgrading.
作者
陈飞
李腾达
周威
Chen Fei;Li Tengda;Zhou Wei(China Mobile Shanghai ICT Co.,Ltd.,Shanghai 201206,China)
出处
《数字化转型》
2025年第8期34-44,共11页
Digital Transformation
关键词
大模型
数字化转型
核心技术
场景创新
实践路径
Large Models
Digital Transformation
Core Technologies
Scenario Innovation
Practical Pathways
