Advances in digital twin technology in industry: A review of applications, challenges, and standardization
This paper provides a comprehensive literature review on the application of digital twins (DTs) and the development of artificial intelligence (AI), big data, and building information management (BIM). Driven by the Internet of Things (IoT), big data analytics, and AI, the DT technology has become a...
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| Format: | Article |
| Language: | English |
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Tsinghua University Press
2025-06-01
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| Series: | Journal of Intelligent Construction |
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| Online Access: | https://www.sciopen.com/article/10.26599/JIC.2025.9180083 |
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| author | Li Ai Paul Ziehl |
| author_facet | Li Ai Paul Ziehl |
| author_sort | Li Ai |
| collection | DOAJ |
| description | This paper provides a comprehensive literature review on the application of digital twins (DTs) and the development of artificial intelligence (AI), big data, and building information management (BIM). Driven by the Internet of Things (IoT), big data analytics, and AI, the DT technology has become a transformative force in Industry 4.0. It enables real-time simulation, analysis, and optimization of industrial systems throughout their lifecycle, leading to significant improvements in operational efficiency and decision-making processes. This review explores the various applications, challenges, and prospects of DTs in the aerospace, manufacturing, construction, and power industries. The key challenges discussed include data management, model complexity, cybersecurity, and standardization. This review highlights the importance of addressing these challenges to realize the full potential of the DT technology in various industries while emphasizing the need for high-quality data, accurate modeling, robust security measures, and standardized evaluation criteria. As the DT technology continues to evolve, it will play a key role in advancing smart, resilient, and efficient industrial systems. |
| format | Article |
| id | doaj-art-c9520f5374534bac9f142c9b20a558c1 |
| institution | DOAJ |
| issn | 2958-3861 2958-2652 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | Journal of Intelligent Construction |
| spelling | doaj-art-c9520f5374534bac9f142c9b20a558c12025-08-20T03:13:47ZengTsinghua University PressJournal of Intelligent Construction2958-38612958-26522025-06-0132918008310.26599/JIC.2025.9180083Advances in digital twin technology in industry: A review of applications, challenges, and standardizationLi Ai0Paul Ziehl1Department of Civil and Environmental Engineering, University of South Carolina, Columbia 29208, USADepartment of Civil and Environmental Engineering, University of South Carolina, Columbia 29208, USAThis paper provides a comprehensive literature review on the application of digital twins (DTs) and the development of artificial intelligence (AI), big data, and building information management (BIM). Driven by the Internet of Things (IoT), big data analytics, and AI, the DT technology has become a transformative force in Industry 4.0. It enables real-time simulation, analysis, and optimization of industrial systems throughout their lifecycle, leading to significant improvements in operational efficiency and decision-making processes. This review explores the various applications, challenges, and prospects of DTs in the aerospace, manufacturing, construction, and power industries. The key challenges discussed include data management, model complexity, cybersecurity, and standardization. This review highlights the importance of addressing these challenges to realize the full potential of the DT technology in various industries while emphasizing the need for high-quality data, accurate modeling, robust security measures, and standardized evaluation criteria. As the DT technology continues to evolve, it will play a key role in advancing smart, resilient, and efficient industrial systems.https://www.sciopen.com/article/10.26599/JIC.2025.9180083digital twinsbuilding information managementinternet of thingsindustrial system |
| spellingShingle | Li Ai Paul Ziehl Advances in digital twin technology in industry: A review of applications, challenges, and standardization Journal of Intelligent Construction digital twins building information management internet of things industrial system |
| title | Advances in digital twin technology in industry: A review of applications, challenges, and standardization |
| title_full | Advances in digital twin technology in industry: A review of applications, challenges, and standardization |
| title_fullStr | Advances in digital twin technology in industry: A review of applications, challenges, and standardization |
| title_full_unstemmed | Advances in digital twin technology in industry: A review of applications, challenges, and standardization |
| title_short | Advances in digital twin technology in industry: A review of applications, challenges, and standardization |
| title_sort | advances in digital twin technology in industry a review of applications challenges and standardization |
| topic | digital twins building information management internet of things industrial system |
| url | https://www.sciopen.com/article/10.26599/JIC.2025.9180083 |
| work_keys_str_mv | AT liai advancesindigitaltwintechnologyinindustryareviewofapplicationschallengesandstandardization AT paulziehl advancesindigitaltwintechnologyinindustryareviewofapplicationschallengesandstandardization |