A comprehensive digital twin framework for building environment monitoring with emphasis on real-time data connectivity and predictability
The concept of digital twins, initially developed in manufacturing, has found applications in various industries. However, its adoption in the construction field is still nascent, with a limited understanding of its benefits and implications. Existing examples of digital twin implementation in const...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-03-01
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| Series: | Developments in the Built Environment |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666165923001916 |
| _version_ | 1797267098741768192 |
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| author | Tae Wook Kang Yunjeong Mo |
| author_facet | Tae Wook Kang Yunjeong Mo |
| author_sort | Tae Wook Kang |
| collection | DOAJ |
| description | The concept of digital twins, initially developed in manufacturing, has found applications in various industries. However, its adoption in the construction field is still nascent, with a limited understanding of its benefits and implications. Existing examples of digital twin implementation in construction mainly provide general frameworks or possibilities for performance. To effectively harness the potential of digital twins in construction, establishing connectivity and predictability for data exchange between the physical and virtual realms is crucial. This research defines the essential requirements for real-time connectivity and predictability in digital twin implementation and proposes a framework and architecture based on these principles. The proposed method is evaluated through the implementation of a digital twin for monitoring the environmental performance of existing buildings, revealing its effectiveness and challenges. This study serves as a valuable exemplar for the development of a digital twin platform dedicated to construction monitoring. |
| first_indexed | 2024-03-08T19:16:15Z |
| format | Article |
| id | doaj.art-3073ed1491ca44cf9c4356703da2fe4c |
| institution | Directory Open Access Journal |
| issn | 2666-1659 |
| language | English |
| last_indexed | 2024-04-25T01:11:11Z |
| publishDate | 2024-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Developments in the Built Environment |
| spelling | doaj.art-3073ed1491ca44cf9c4356703da2fe4c2024-03-10T05:12:53ZengElsevierDevelopments in the Built Environment2666-16592024-03-0117100309A comprehensive digital twin framework for building environment monitoring with emphasis on real-time data connectivity and predictabilityTae Wook Kang0Yunjeong Mo1Korea Institute of Civil Engineering and Building Technology, Seoul, South KoreaDepartment of Civil, Construction, and Environmental Engineering, Iowa State University, Ames, IA, USA; Corresponding author.The concept of digital twins, initially developed in manufacturing, has found applications in various industries. However, its adoption in the construction field is still nascent, with a limited understanding of its benefits and implications. Existing examples of digital twin implementation in construction mainly provide general frameworks or possibilities for performance. To effectively harness the potential of digital twins in construction, establishing connectivity and predictability for data exchange between the physical and virtual realms is crucial. This research defines the essential requirements for real-time connectivity and predictability in digital twin implementation and proposes a framework and architecture based on these principles. The proposed method is evaluated through the implementation of a digital twin for monitoring the environmental performance of existing buildings, revealing its effectiveness and challenges. This study serves as a valuable exemplar for the development of a digital twin platform dedicated to construction monitoring.http://www.sciencedirect.com/science/article/pii/S2666165923001916Digital twinBIMIoTPlatformConnectivityPredictability |
| spellingShingle | Tae Wook Kang Yunjeong Mo A comprehensive digital twin framework for building environment monitoring with emphasis on real-time data connectivity and predictability Developments in the Built Environment Digital twin BIM IoT Platform Connectivity Predictability |
| title | A comprehensive digital twin framework for building environment monitoring with emphasis on real-time data connectivity and predictability |
| title_full | A comprehensive digital twin framework for building environment monitoring with emphasis on real-time data connectivity and predictability |
| title_fullStr | A comprehensive digital twin framework for building environment monitoring with emphasis on real-time data connectivity and predictability |
| title_full_unstemmed | A comprehensive digital twin framework for building environment monitoring with emphasis on real-time data connectivity and predictability |
| title_short | A comprehensive digital twin framework for building environment monitoring with emphasis on real-time data connectivity and predictability |
| title_sort | comprehensive digital twin framework for building environment monitoring with emphasis on real time data connectivity and predictability |
| topic | Digital twin BIM IoT Platform Connectivity Predictability |
| url | http://www.sciencedirect.com/science/article/pii/S2666165923001916 |
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