Publication Type
Journal Article
Version
publishedVersion
Publication Date
1-2021
Abstract
nternet-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.
Discipline
Energy Policy | Engineering
Research Areas
Integrative Research Areas
Publication
Journal of Physics: Conference Series
First Page
1
Last Page
6
ISSN
1742-6588
Identifier
10.1088/1742-6596/2042/1/012041
Publisher
Institute of Physics Publishing Ltd.
Citation
MILLER, Clayton; ABDELRAHMAN, Mahmoud; CHONG, Adrian; BILJECKI, Filip; QUINTANA, Matias; FREI, Mario; CHEW, Michael; and WONG, Daniel.
The internet-of-buildings (IoB) - Digital twin convergence of wearable and IoT data with GIS/BIM. (2021). Journal of Physics: Conference Series. 1-6.
Available at: https://ink.library.smu.edu.sg/cis_research/626
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1088/1742-6596/2042/1/012041