Abstract
In the future, it will be possible to build high-quality models of building interiors based on data from a dense fleet of sensors reporting on air volumes much smaller than a room or zone. To enable such models, we are creating technologies that commission a fleet of sensors quickly at low cost. Our sensor commissioning process builds a three-dimensional model of each building interior that includes sensor positions and sensor networking information such as sensor Media Access Control (MAC) addresses. It employs Augmented Reality, Light Detection and Ranging (LiDAR), Quick Response (QR) codes, and computer vision. Sensors can be commissioned at more than ten times the speed and at less than one tenth the cost of traditional approaches.
| Original language | English |
|---|---|
| Pages (from-to) | 1934-1941 |
| Number of pages | 8 |
| Journal | Building Simulation Conference Proceedings |
| Volume | 18 |
| DOIs | |
| State | Published - 2023 |
| Event | 18th IBPSA Conference on Building Simulation, BS 2023 - Shanghai, China Duration: Sep 4 2023 → Sep 6 2023 |
Funding
Given that Microsoft support for the HoloLens will be reduced in the future, we recommend that an alternative technology be used for those cases where details of the environment are important. It may be that the iOS/QR code platform can be modified to provide these details while still providing tidy 3D models and floor plans. We expect that the iOS platform will have additional capabilities in newer versions. For example, LiDAR was introduced for the iPhone 12, but with each passing year, a larger percentage of active iPhones have that capability. Conclusion We have presented the Sensorium system, which can be used to reduce the cost of commissioning sensors by more than 10x, while increasing the speed of commissioning sensors by more than 10x. Sensorium does this by combining augmented reality technologies, computer-vision-based QR code recognition, wireless gateways, and data streaming technologies. It has been tested on both commercial and residential buildings. Sensorium can support a variety of applications, including building energy efficiency, occupant comfort, optimization of sensors and personal comfort devices, and predictive amintenance. Acknowledgments We thank the Xerox Corporation for supporting this research and the U.S. Department of Energy (under contract No. NFE-21-08865) for providing resources to help test this technology. References Bottaccioli, Lorenzo, Alessandro Aliberti, Francesca Ugliotti, Edoardo Patti, Anna Osello, Enrico Macii, and Andrea Acquaviva. "Building energy modelling and monitoring by integration of IoT devices and building information models." In 2017 IEEE 41st annual computer software and applications conference (COMPSAC), vol. 1, pp. 914-922. IEEE, 2017.