TY - GEN
T1 - Operational Digital Twins
T2 - ASCE International Conference on Computing in Civil Engineering 2023: Visualization, Information Modeling, and Simulation, i3CE 2023
AU - Ghorbani, Zahra
AU - Cramer, Madeline
AU - Messner, John
N1 - Publisher Copyright:
© 2024 Computing in Civil Engineering 2023: Visualization, Information Modeling, and Simulation - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2023. All rights reserved.
PY - 2024
Y1 - 2024
N2 - Digital twins (DT) have recently gained significant interest among architecture, engineering, construction, and operations (AECO) industry professionals and researchers. However, there is no consensus on the definition of digital twins to the point that some practitioners use building information models (BIM) and digital twins synonymously. This research focuses on developing a scope definition for the identification and classification of DT use cases. The results will help researchers and industry practitioners with planning the implementation of operational digital twins. A detailed review of the literature was conducted to find the existing definitions of operational digital twins. Afterward, an extensive review of use cases of operational digital twins was completed. Furthermore, these use cases were defined through a categorical content analysis, and they were placed within an existing widely used ontology. Examples of operational DT use cases include remote asset monitoring, remote asset control, and asset performance prediction. Use cases identified in this paper were reviewed by leading experts in the DT community. The findings of this paper will benefit researchers and industry practitioners in planning for digital twin implementations by providing a common language with attributes to define specific DT use cases.
AB - Digital twins (DT) have recently gained significant interest among architecture, engineering, construction, and operations (AECO) industry professionals and researchers. However, there is no consensus on the definition of digital twins to the point that some practitioners use building information models (BIM) and digital twins synonymously. This research focuses on developing a scope definition for the identification and classification of DT use cases. The results will help researchers and industry practitioners with planning the implementation of operational digital twins. A detailed review of the literature was conducted to find the existing definitions of operational digital twins. Afterward, an extensive review of use cases of operational digital twins was completed. Furthermore, these use cases were defined through a categorical content analysis, and they were placed within an existing widely used ontology. Examples of operational DT use cases include remote asset monitoring, remote asset control, and asset performance prediction. Use cases identified in this paper were reviewed by leading experts in the DT community. The findings of this paper will benefit researchers and industry practitioners in planning for digital twin implementations by providing a common language with attributes to define specific DT use cases.
UR - http://www.scopus.com/inward/record.url?scp=85184288352&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85184288352&partnerID=8YFLogxK
U2 - 10.1061/9780784485231.015
DO - 10.1061/9780784485231.015
M3 - Conference contribution
AN - SCOPUS:85184288352
T3 - Computing in Civil Engineering 2023: Visualization, Information Modeling, and Simulation - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2023
SP - 121
EP - 128
BT - Computing in Civil Engineering 2023
A2 - Turkan, Yelda
A2 - Louis, Joseph
A2 - Leite, Fernanda
A2 - Ergan, Semiha
PB - American Society of Civil Engineers (ASCE)
Y2 - 25 June 2023 through 28 June 2023
ER -