Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Proceedings of the 2023 International Conference on Mathematical Physics and Computational Simulation
Series Vol. 12 , 17 November 2023
Open
Access | Article
Digital twin: Application and prospect
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Abstract
Digital twin (DT) is considered one of the most promising enabling technologies for achieving intelligent manufacturing and Industry 4.0. The key characteristic of DT is the seamless integration between the cyber and physical spaces. The significance of DT is increasingly recognized by the academic and industrial communities. To understand the development and application of DT in industry, this paper provides an in-depth review of the research status of key components of DT, the current state of DT development, and its major applications in aerospace, industrial manufacturing and smart cities. This paper also outlines some potential directions for future work and discusses current challenges. First, the integration of machine learning algorithms with digital twins can enable more complex data analysis, decision-making, and predictive capabilities. Second, the application of blockchain technology in digital twin ecosystems can increase the potential for secure and transparent data sharing and collaboration. Finally, the expansion of the scope of digital twins can achieve environmental sustainability.
Keywords
digital twin(DT), Industry 4.0, aerospace, industrial manufacturing, smart cities
References
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Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 2023 International Conference on Mathematical Physics and Computational Simulation
- ISBN (Print)
- 978-1-83558-135-3
- ISBN (Online)
- 978-1-83558-136-0
- Published Date
- 17 November 2023
- Series
- Theoretical and Natural Science
- ISSN (Print)
- 2753-8818
- ISSN (Online)
- 2753-8826
- DOI
- 10.54254/2753-8818/12/20230477
- Copyright
- © 2023 The Author(s)
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited