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The ontology-based modeling and evolution of digital twin for assembly workshop

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Abstract

Digital twin (DT) technology has been entrusted with the tasks of modeling and monitoring of the product, process, and production system. Moreover, the development of semantic modeling and digital perception provides the feasibility for the application of DT in the manufacturing industry. However, the application of DT technology in assembly workshop modeling and management is immature for the discreteness of assembly process, diversity of assembly resource, and complexity of dataflow in the assembly task execution. A method of ontology-based modeling and evolution of DT for the assembly workshop is proposed to deal with this situation. Firstly, the ontology-based modeling method is given for the assembly resource and process. By instantiating in the ontology, resources and processes can be involved in the modeling and evolution of the DT workshop. Secondly, the DT assembly workshop framework is introduced with the detailed discussions of dataflow mapping, DT evolution, storage, and tracing of historical data generated during the operation of the workshop. In addition, a case study is illustrated to show the entire process of construction and evolution of the DT modeled on an experimental field, indicating the feasibility and validity of the method proposed.

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Acknowledgements

The authors would like to express sincere gratitude to the anonymous reviewers for the invaluable comments and suggestions that have improved the quality of the paper.

Funding

This research is supported by the 2017 Special Scientific Research on Civil Aircraft Project.

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Authors and Affiliations

  1. School of Mechanical Engineering and Automation, Beihang University, Beijing, 100191, People’s Republic of China

    Qiangwei Bao, Gang Zhao, Yong Yu, Sheng Dai & Wei Wang

  2. School of Energy and Power Engineering, Beihang University, Beijing, 100191, People’s Republic of China

    Qiangwei Bao

  3. Key Laboratory of Aeronautics Smart Manufacturing, Beihang University, Beijing, 100191, People’s Republic of China

    Gang Zhao

  4. Beijing Engineering Technological Research Center of High-Efficient, Green CNC Machining Process, Beijing, 100191, People’s Republic of China

    Yong Yu

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  1. Qiangwei Bao
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  5. Wei Wang
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Correspondence to Yong Yu.

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Bao, Q., Zhao, G., Yu, Y. et al. The ontology-based modeling and evolution of digital twin for assembly workshop. Int J Adv Manuf Technol 117, 395–411 (2021). https://doi.org/10.1007/s00170-021-07773-1

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  • DOI: https://doi.org/10.1007/s00170-021-07773-1

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