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Comprehensive Survey of the Landscape of Digital Twin Technologies and Their Diverse Applications

Haiyu Chen1, Haijian Shao1,2,*, Xing Deng1, Lijuan Wang1, Xia Wang3

1 School of Computer, Jiangsu University of Science and Technology, Zhenjiang, 212003, China
2 Department of Electrical and Computer Engineering, University of Nevada Las Vegas, Las Vegas, NV, 89154, USA
3 Department of Electrical and Computer Engineering, National University of Singapore, 117583, Singapore

* Corresponding Author: Haijian Shao. Email: email

Computer Modeling in Engineering & Sciences 2024, 138(1), 125-165. https://doi.org/10.32604/cmes.2023.027834

Abstract

The concept of the digital twin, also known colloquially as the DT, is a fundamental principle within Industry 4.0 framework. In recent years, the concept of digital siblings has generated considerable academic and practical interest. However, academia and industry have used a variety of interpretations, and the scientific literature lacks a unified and consistent definition of this term. The purpose of this study is to systematically examine the definitional landscape of the digital twin concept as outlined in scholarly literature, beginning with its origins in the aerospace domain and extending to its contemporary interpretations in the manufacturing industry. Notably, this investigation will focus on the research conducted on Industry 4.0 and smart manufacturing, elucidating the diverse applications of digital twins in fields including aerospace, intelligent manufacturing, intelligent transportation, and intelligent cities, among others.

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APA Style
Chen, H., Shao, H., Deng, X., Wang, L., Wang, X. (2024). Comprehensive survey of the landscape of digital twin technologies and their diverse applications. Computer Modeling in Engineering & Sciences, 138(1), 125-165. https://doi.org/10.32604/cmes.2023.027834
Vancouver Style
Chen H, Shao H, Deng X, Wang L, Wang X. Comprehensive survey of the landscape of digital twin technologies and their diverse applications. Comput Model Eng Sci. 2024;138(1):125-165 https://doi.org/10.32604/cmes.2023.027834
IEEE Style
H. Chen, H. Shao, X. Deng, L. Wang, and X. Wang "Comprehensive Survey of the Landscape of Digital Twin Technologies and Their Diverse Applications," Comput. Model. Eng. Sci., vol. 138, no. 1, pp. 125-165. 2024. https://doi.org/10.32604/cmes.2023.027834



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