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

被引:4
作者
Chen, Haiyu [1 ]
Shao, Haijian [1 ,2 ]
Deng, Xing [1 ]
Wang, Lijuan [1 ]
Wang, Xia [3 ]
机构
[1] Jiangsu Univ Sci & Technol, Sch Comp, Zhenjiang 212003, Peoples R China
[2] Univ Nevada Las Vegas, Dept Elect & Comp Engn, Las Vegas, NV 89154 USA
[3] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 117583, Singapore
来源
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES | 2024年 / 138卷 / 01期
基金
中国国家自然科学基金;
关键词
Digital twins; Industry; 4.0; smart manufacturing; digital thread; modeling; simulation; VIRTUAL POWER-PLANT; SUBJECT-VARIABILITY; FRAMEWORK; INFORMATION; PROGNOSTICS; INTEGRATION; FATIGUE; SERVICE; DESIGN; AIRWAY;
D O I
10.32604/cmes.2023.027834
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页码:125 / 165
页数:41
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