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Exploration and Practice of Predictive Maintenance Technology in Automobile Factories

  • Zhiqiang Hao,
  • Guojun Li,
  • Lei Chen,
  • Jingcheng Niu

摘要

With the rise of a new round of technological revolution and industrial transformation, new technologies such as the Internet of Things, cloud computing, big data, and artificial intelligence are rapidly developing and widely applied in various fields, leading the digital transformation and upgrading of various industries. After over a century of development, the automotive manufacturing industry has become one of the most automated and intelligent manufacturing industries. However, facing the increasingly competitive market environment, how to effectively utilize new digital technologies to further enhance the maintenance efficiency of production equipment and reduce maintenance costs remains a pressing concern for various automotive enterprises in their production operations. This article primarily introduces the meaning, implementation methods, and exploration and practice in automobile factories of equipment predictive maintenance technology.