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基于数字孪生的多维多尺度智能制造空间及其建模方法

  • Kai Ding
  • , Xudong Zhang
  • , Guanghui Zhou
  • , Chuang Wang
  • , Haidong Yang
  • , Fuqiang Zhang
  • , Xuepeng Cao
  • Chang'an University
  • Xi'an Institute of Posts and Telecommunications
  • Guangdong University of Technology

科研成果: 期刊稿件文章同行评审

46 引用 (Scopus)

摘要

With the development of digital twin and Cyber-Physical System (CPS) technologies, how to build the cyber-physical-social space fusion model for the manufacturing industry has been the key factor to implement smart manufacturing mode. Aiming at this problem, a multi-dimensional and multi-scale Smart Manufacturing Space (SMS) model was defined, and the characteristics of SMS were analyzed. Combined with the realization logic of digital twin technology, the cyber-physical mapping modeling method of SMS and the smart manufacturing process and data modeling method were discussed. A case of impeller manufacturing was applied to verify the feasibility and efficiency of the proposed modeling methods. It was expected that the proposed method would provide the basis for the multi-role, multi-business and multi-process real-time synchronous simulation and cyber-physical interconnected control of SMS.

投稿的翻译标题Digital twin-based multi-dimensional and multi-scale modeling of smart manufacturing spaces
源语言繁体中文
页(从-至)1491-1504
页数14
期刊Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS
25
6
DOI
出版状态已出版 - 1 6月 2019

关键词

  • Cyber-physical system
  • Digital twin
  • Modeling
  • Multi-dimensional and multi-scale
  • Smart manufacturing space

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