Digital Twins in Construction: Architecture, Applications, Trends and Challenges

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aut.relation.endpage2616
aut.relation.issue9
aut.relation.journalBuildings
aut.relation.startpage2616
aut.relation.volume14
dc.contributor.authorYang, Zhou
dc.contributor.authorTang, Chao
dc.contributor.authorZhang, Tongrui
dc.contributor.authorZhang, Zhongjian
dc.contributor.authorDoan, Dat Tien
dc.date.accessioned2024-08-26T23:20:23Z
dc.date.available2024-08-26T23:20:23Z
dc.date.issued2024-08-23
dc.description.abstractThe construction field currently suffers from low productivity, a lack of expertise among practitioners, weak innovation, and lack of predictability. The digital twin, an advanced digital technology, empowers the construction sector to advance towards intelligent construction and digital transformation. It ultimately aims for highly accurate digital simulation to achieve comprehensive optimization of all phases of a construction project. Currently, the process of digital twin applications is facing challenges such as poor data quality, the inability to harmonize types that are difficult to integrate, and insufficient data security. Further research on the application of digital twins in the construction domain is still needed to accelerate the development of digital twins and promote their practical application. This paper analyzes the commonly used architectures for digital twins in the construction domain in the literature and summarizes the commonly used technologies to implement the architectures, including artificial intelligence, machine learning, data mining, cyber–physical systems, internet of things, virtual reality, augmented reality applications, and considers their advantages and limitations. The focus of this paper is centered on the application of digital twins in the entire lifecycle of a construction project, which includes the design, construction, operation, maintenance, demolition and restoration phases. Digital twins are mainly moving towards the integration of data and information, model automation, intelligent system control, and data security and privacy. Digital twins present data management and integration challenges, privacy and security protection, technical manpower development, and transformation needs. Future research should address these challenges by improving data quality, developing robust integration methodologies, and strengthening data security measures.
dc.identifier.citationBuildings, ISSN: 2075-5309 (Online), MDPI AG, 14(9), 2616-2616. doi: 10.3390/buildings14092616
dc.identifier.doi10.3390/buildings14092616
dc.identifier.issn2075-5309
dc.identifier.urihttp://hdl.handle.net/10292/17934
dc.languageen
dc.publisherMDPI AG
dc.relation.urihttps://www.mdpi.com/2075-5309/14/9/2616
dc.rights© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
dc.rights.accessrightsOpenAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject1201 Architecture
dc.subject1202 Building
dc.subject1203 Design Practice and Management
dc.subject3301 Architecture
dc.subject3302 Building
dc.subject4005 Civil engineering
dc.titleDigital Twins in Construction: Architecture, Applications, Trends and Challenges
dc.typeJournal Article
pubs.elements-id567125
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