东北大学学报(自然科学版) ›› 2025, Vol. 46 ›› Issue (7): 84-93.DOI: 10.12068/j.issn.1005-3026.2025.20250053

• 智能制造 • 上一篇    下一篇

智能制造技术进展与应用

巩亚东(), 高家浩, 金丽雅, 赵衡   

  1. 东北大学 机械工程与自动化学院,辽宁 沈阳 110819
  • 收稿日期:2025-05-08 出版日期:2025-07-15 发布日期:2025-09-24
  • 通讯作者: 巩亚东
  • 基金资助:
    国家自然科学基金资助项目(U23A20633)

Progress and Application of Intelligent Manufacturing Technology

Ya-dong GONG(), Jia-hao GAO, Li-ya JIN, Heng ZHAO   

  1. School of Mechanical Engineering & Automation,Northeastern University,Shenyang 110819,China.
  • Received:2025-05-08 Online:2025-07-15 Published:2025-09-24
  • Contact: Ya-dong GONG

摘要:

基于人工智能发展对制造技术产生广泛深刻影响的分析,阐述了智能制造是建设制造强国的主攻方向,并探讨其在新型工业化体系建设过程中的重要作用.通过概述智能制造赋能技术,阐释人工智能技术与先进制造技术深度融合形成的智能制造技术,该技术将推动新一轮工业革命和产业革命的进程.随后以典型智能制造研究成果和应用实例,阐明了智能制造与传统自动化的本质区别和工程应用.最后指出,新一代信息技术与先进制造技术深度融合形成的先进生产模式,呈现出未来制造业的新形态.

关键词: 智能制造, 人工智能, 大数据, 5G通信, 云计算

Abstract:

Based on an analysis of the extensive and profound impact of the development of artificial intelligence on manufacturing technology, it is expounded that intelligent manufacturing is the main direction for building a strong manufacturing country, and its important roles are discussed in the construction of a new industrialization system. Through an introduction to intelligent manufacturing empowerment technology, it is claimed that intelligent manufacturing technology by the deep integration of intelligent technology and advanced manufacturing technology will drive the progress of the new round of industrial revolution and industrial transfor-mation. Subsequently, typical research results and application examples of intelligent manufacturing are used to clarify the essential differences and engineering applications between intelligent manufacturing and traditional automation. Finally, it is pointed out that the advanced production mode of the deep integration of new generation information technology and advanced manufacturing technology demonstrates a new form of future manufacturing industry.

Key words: intelligent manufacturing, artificial intelligence, big data, 5G communication, cloud computing

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