Modeling of digital twin workshop based on perception data

Qi Zhang*, Xiaomei Zhang, Wenjun Xu, Aiming Liu, Zude Zhou, Duc Truong Pham

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)


In recent years, the new generation of information technology has been widely applied in manufacturing domain. Building intelligent workshop and achieving intelligent manufacturing have become the purposes of industry development. The current workshop service systems just fulfill the mapping between physical and digital layer, while have not completed the interconnection and interaction between physical world and information world. It is the emergence of digital twin that become one of the solution to this bottleneck. In this paper, a system framework of digital twin workshop is proposed. In the light of the framework, a model of digital twin workshop based on physical perception data is established. This model is divided into three parts, which including workshop physical model, digital model based on ontology, and virtual model. Moreover, the operation mechanism of digital twin workshop is described among the three models. Finally, a three-dimensional model for a production line is built, and the connection between digital and virtual layer is established and demonstrated.

Original languageEnglish
Title of host publicationIntelligent Robotics and Applications
Subtitle of host publication10th International Conference, ICIRA 2017, Wuhan, China, August 16–18, 2017, Proceedings, Part III
EditorsYongAn Huang, Hao Wu, Honghai Liu, Zhouping Yin
PublisherSpringer Verlag
Number of pages12
ISBN (Electronic)9783319652986
ISBN (Print)9783319652979
Publication statusPublished - 1 Jan 2017
Event10th International Conference on Intelligent Robotics and Applications, ICIRA 2017 - Wuhan, China
Duration: 16 Aug 201718 Aug 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10464 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference10th International Conference on Intelligent Robotics and Applications, ICIRA 2017


  • Digital twin workshop
  • Intelligent manufacturing
  • Modeling
  • Perception data

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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