Please use this identifier to cite or link to this item: https://doi.org/10.1088/1742-6596/2042/1/012041
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dc.titleThe Internet-of-Buildings (IoB) --- Digital twin convergence of wearable and IoT data with GIS/BIM
dc.contributor.authorClayton Miller
dc.contributor.authorMAHMOUD MOHAMED MOHAMED ALI ABDELRAHMAN
dc.contributor.authorAdrian Chong
dc.contributor.authorBiljecki, Filip
dc.contributor.authorMatias Quintana
dc.contributor.authorMARIO RAINER FREI
dc.contributor.authorCHEW YIT LIN, MICHAEL
dc.contributor.authorWONG HWEE BOON DANIEL
dc.date.accessioned2021-12-06T01:41:44Z
dc.date.available2021-12-06T01:41:44Z
dc.date.issued2021-09-10
dc.identifier.citationClayton Miller, MAHMOUD MOHAMED MOHAMED ALI ABDELRAHMAN, Adrian Chong, Biljecki, Filip, Matias Quintana, MARIO RAINER FREI, CHEW YIT LIN, MICHAEL, WONG HWEE BOON DANIEL (2021-09-10). The Internet-of-Buildings (IoB) --- Digital twin convergence of wearable and IoT data with GIS/BIM. Journal of Physics: Conference Series 2042 (1) : 012041. ScholarBank@NUS Repository. https://doi.org/10.1088/1742-6596/2042/1/012041
dc.identifier.issn1742-6588
dc.identifier.issn1742-6596
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/209481
dc.description.abstractInternet-of-Things (IoT) devices in buildings and wearable technologies for occupants are quickly becoming widespread. These technologies provide copious amounts of high-quality temporal data pertaining to indoor and outdoor environmental quality, comfort, and energy consumption. However, a barrier to their use in many applications is the lack of spatial context in the built environment. Adding Building Information Models (BIM) and Geographic Information Systems (GIS) to these temporal sources unleashes potential. We call this data convergence the Internet-of-Buildings or IoB. In this paper, a digital twin case study of data intersection from various systems is outlined. Initial insights are discussed for an experiment with 17 participants that focused on the collection of occupant subjective feedback to characterize indoor comfort. The results illustrate the ability to capture data from wearables in the context of a BIM data environment.
dc.description.urihttps://doi.org/10.1088/1742-6596/2042/1/012041
dc.language.isoen
dc.rightsAttribution-NonCommercial 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.typeArticle
dc.contributor.departmentARCHITECTURE
dc.contributor.departmentBUILDING
dc.contributor.departmentDEPT OF ARCHITECTURE
dc.contributor.departmentDEPT OF BUILDING
dc.contributor.departmentDEPT OF REAL ESTATE
dc.contributor.departmentREAL ESTATE
dc.description.doi10.1088/1742-6596/2042/1/012041
dc.description.sourcetitleJournal of Physics: Conference Series
dc.description.volume2042
dc.description.issue1
dc.description.page012041
dc.published.statePublished
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