基于数字孪生的多维多尺度智能制造空间及其建模方法

Translated title of the contribution: Digital twin-based multi-dimensional and multi-scale modeling of smart manufacturing spaces
  • Kai Ding
  • , Xudong Zhang
  • , Guanghui Zhou
  • , Chuang Wang
  • , Haidong Yang
  • , Fuqiang Zhang
  • , Xuepeng Cao

Research output: Contribution to journalArticlepeer-review

46 Scopus citations

Abstract

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.

Translated title of the contributionDigital twin-based multi-dimensional and multi-scale modeling of smart manufacturing spaces
Original languageChinese (Traditional)
Pages (from-to)1491-1504
Number of pages14
JournalJisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS
Volume25
Issue number6
DOIs
StatePublished - 1 Jun 2019

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