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Industry application of digital twin: from concept to implementation

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Abstract

With the development of artificial intelligence, big data, Internet of Things, and other technologies, digital twin has gained great attention and become a current research topic. Using digital twin technology, the digital twin model can be constructed in the cyber space that is fully equivalent to the physical entity. It is always consistent with the physical entity in the operation process, which greatly improves the dynamic perception and prediction ability of the real world. After the development in recent years, digital twin has gradually changed from the initial concept discussion to the study of model framework and implementation method. However, because the research objects in different industries have great differences in their own composition, service conditions, and application scenarios, they have personalized characteristics in modeling strategies and usage methods. Therefore, based on different industries, this paper reviews the current articles on digital twins and distinguishes the focus of digital twin modeling research; subsequently, the relevant supporting techniques and methods are summarized according to their different importance for digital twin modeling. Based on the review in this paper, future researchers can conduct targeted research on digital twin technology in term of the characteristics of the objects in their industry.

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Funding

This work is supported by the National Key Research and Development Program of China-Fusion Theory of Cyber-Physical System for Product Life Cycle and Closed Loop Feedback (No. 2020YFB1708003).

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Authors and Affiliations

  1. Department of Mechanical and Electrical Engineering, Ocean University of China, Qingdao, 266100, China

    Xin Fang, Honghui Wang, Guijie Liu & Xiaojie Tian

  2. Key Laboratory of Ocean Engineering of Shandong Province, Ocean University of China, Qingdao, 266100, China

    Xin Fang, Honghui Wang, Guijie Liu & Xiaojie Tian

  3. Institute of Advanced Design and Manufacturing, School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, 610031, China

    Guofu Ding & Haizhu Zhang

Authors
  1. Xin Fang
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  2. Honghui Wang
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  3. Guijie Liu
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  4. Xiaojie Tian
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  5. Guofu Ding
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Correspondence to Honghui Wang or Guijie Liu.

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Fang, X., Wang, H., Liu, G. et al. Industry application of digital twin: from concept to implementation. Int J Adv Manuf Technol 121, 4289–4312 (2022). https://doi.org/10.1007/s00170-022-09632-z

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