生成式AI赋能金属材料行业融合创新  

Empowering integration and innovation in the metal materials industry through generative AI

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作  者:王国栋[1] 吴思炜 王凤辉[1] WANG Guodong;WU Siwei;WANG Fenghui(State Key Laboratory of Digital Steel,Northeastern University,Shenyang 110819,China)

机构地区:[1]东北大学数字钢铁全国重点实验室,辽宁沈阳110819

出  处:《现代交通与冶金材料》2025年第2期1-6,15,共7页Modern Transportation and Metallurgical Materials

摘  要:随着数字技术的快速发展,全球竞争格局正在发生深刻变化。本文探讨了生成式人工智能(AIGC)技术在金属材料行业的应用实践,特别是在钢铁行业的融合创新中的作用。通过分析AIGC技术的特点和优势,提出将AIGC技术与实体经济结合的策略,探讨了AI技术对金属材料行业融合创新的多维度赋能,涵盖产业链协同、绿色可持续发展、知识传承与创新等方面,以助力钢铁行业的升级换代和新质生产力的打造。With the rapid development of digital technology,the global competitive landscape is under-going profound changes.This paper explores the application of generative artificial intelligence(AIGC)technology in the metal materials industry,particularly its role in integrated innovation in the steel industry.By analyzing the characteristics and advantages of AIGC technology,strategies for inte-grating AIGC technology with the real economy are proposed.The multi-dimensional empowerment of AI technology for integrated innovation in the metal materials industry is discussed,covering aspects such as industrial chain collaboration,green and sustainable development,knowledge inheritance and innovation,to facilitate the upgrading and transformation of the steel industry and the creation of new quality productivity.

关 键 词:金属材料 生成式AI 融合创新 工艺优化 质量提升 

分 类 号:F407.31[经济管理—产业经济] TG14[一般工业技术—材料科学与工程] TP18[金属学及工艺—金属材料]

 

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