The Internet-of-Buildings (IoB) — Digital twin convergence of wearable and IoT data with GIS/BIM
Clayton Miller, Mahmoud Abdelrahman, Adrian Chong, Filip Biljecki, Matías Quintana, Mario Frei, Michael Yit Lin Chew, Daniel Fu Keung Wong
Abstract
Abstract Internet-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.