基于数字孪生的生产车间运行状态在线预测

Translated title of the contribution: Online prediction technology of workshop operating status based on digital twin

Juan Liu, Cunbo Zhuang, Jianhua Liu*, Tian Miao, Jianqun Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)

Abstract

Aiming at the online prediction problem of the digital twin workshop, an online prediction method of the operation status of digital twin workshop based on real-time data was proposed. The connotation and operating mechanism of the workshop digital twin was analyzed, a simulation prediction framework based on the workshop digital twin was constructed, the simulation operation logic based on the event scheduling method was explained, and the digital twin workshop input characteristics, sample generation, and event processing logic were established. The fusion of real-time data realized the online prediction of the workshop based on continuous transient simulation. An online simulation system for the operating status of the digital twin workshop was designed and developed, and the feasibility and effectiveness of the method were verified through an example.

Translated title of the contributionOnline prediction technology of workshop operating status based on digital twin
Original languageChinese (Traditional)
Pages (from-to)467-477
Number of pages11
JournalJisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS
Volume27
Issue number2
DOIs
Publication statusPublished - Feb 2021

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