Digital Twin in Industry: State-of-the-Art
Цифровой двойник в промышленности: современное состояние
2019-04-01
SCID: 54.1/y8fswhza
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Cyber-physical integrationDigital twinIndustry 4.0Prognostics and health managementSmart manufacturing
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Abstract (AI)
Digital twin (DT) is one of the most promising enabling technologies for realizing smart manufacturing and Industry 4.0. DTs are characterized by the seamless integration between the cyber and physical spaces. The importance of DTs is increasingly recognized by both academia and industry. It has been almost 15 years since the concept of the DT was initially proposed. To date, many DT applications have been successfully implemented in different industries, including product design, production, prognostics and health management, and some other fields. However, at present, no paper has focused on the review of DT applications in industry. In an effort to understand the development and application of DTs in industry, this paper thoroughly reviews the state-of-the-art of the DT research concerning the key components of DTs, the current development of DTs, and the major DT applications in industry. This paper also outlines the current challenges and some possible directions for future work.
Key Findings
1
DTs have been applied successfully across multiple industrial domains, including product design, production, and prognostics and health management.
2
Despite ~15 years since its proposal, no prior paper has specifically reviewed industrial DT applications, motivating this comprehensive review.
3
Digital Twin (DT) is a key enabling technology for smart manufacturing and Industry 4.0, integrating cyber and physical spaces.
4
This paper reviews DT key components, current development, major industrial applications, and outlines current challenges and future research directions.
Research Object
Digital twin (DT) in industrial/manufacturing contexts
Research Subject
State-of-the-art development, key components, current applications, challenges and future directions of digital twins for smart manufacturing and Industry 4.0
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2019-04-01
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