TY - GEN
T1 - Application of digital twin technologies in construction
T2 - 38th International Symposium on Automation and Robotics in Construction, ISARC 2021
AU - Feng, Haibo
AU - Chen, Qian
AU - de Soto, Borja Garcia
N1 - Funding Information:
This research was partially funded by the External Engagement Program at New York University Abu Dhabi (NYUAD).
Publisher Copyright:
© 2021 Proceedings of the International Symposium on Automation and Robotics in Construction. All rights reserved.
PY - 2021
Y1 - 2021
N2 - Digital twin technologies have been widely used among different industries, for which different conceptual models and system architectures have been proposed. However, the processes are required to establish a digital twin for intended use cases have not been fully studied. This study adopts a systematic literature review analysis focusing on case studies on digital twin models, highlighting the practical steps in developing a digital twin and the challenges faced by various researchers in this field. After a rigorous selection of relevant literature, a total of 23 scientific publications were systematically reviewed. The literature focused on recent publications (2016-2021) to convey updated information regarding the developments of digital twins in the construction domain. The findings synthesized the main processes of establishing and using digital twin technologies in the AEC industry, including the data acquisition processes, data transmission processes, data modeling processes, data integration processes, and the servicing processes. Although digital twin models could improve the stakeholders’ decision-making processes, several challenges regarding data integration and data security still exist in the current applications. The digital twin models require people with the right skills to construct them, a large amount of funds, and the latest technologies with higher computational power to successfully develop them.
AB - Digital twin technologies have been widely used among different industries, for which different conceptual models and system architectures have been proposed. However, the processes are required to establish a digital twin for intended use cases have not been fully studied. This study adopts a systematic literature review analysis focusing on case studies on digital twin models, highlighting the practical steps in developing a digital twin and the challenges faced by various researchers in this field. After a rigorous selection of relevant literature, a total of 23 scientific publications were systematically reviewed. The literature focused on recent publications (2016-2021) to convey updated information regarding the developments of digital twins in the construction domain. The findings synthesized the main processes of establishing and using digital twin technologies in the AEC industry, including the data acquisition processes, data transmission processes, data modeling processes, data integration processes, and the servicing processes. Although digital twin models could improve the stakeholders’ decision-making processes, several challenges regarding data integration and data security still exist in the current applications. The digital twin models require people with the right skills to construct them, a large amount of funds, and the latest technologies with higher computational power to successfully develop them.
KW - Digital twin technologies
KW - Information integration
KW - Stakeholder collaboration
KW - Sustainability
KW - Use cases
UR - https://www.scopus.com/pages/publications/85127600722
M3 - Conference contribution
AN - SCOPUS:85127600722
T3 - Proceedings of the International Symposium on Automation and Robotics in Construction
SP - 979
EP - 986
BT - Proceedings of the 38th International Symposium on Automation and Robotics in Construction, ISARC 2021
A2 - Feng, Chen
A2 - Linner, Thomas
A2 - Brilakis, Ioannis
PB - International Association for Automation and Robotics in Construction (IAARC)
Y2 - 2 November 2021 through 4 November 2021
ER -