Sensorium: commissioning abundant sensors with augmented reality and QR codes
- Palo Alto Research Center
- University of California, Merced
- ORNL
- University of California, Berkeley
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 allow a fleet of sensors to be commissioned quickly at low cost. Our sensor commissioning process builds a 3D model of each building interior that includes sensor positions and sensor networking information such as sensor MAC addresses. It employs multiple technologies, including augmented reality, LiDAR, QR codes, and computer vision. Sensors can be commissioned at more than 10x the speed and at less than one tenth the cost of traditional approaches.
- Research Organization:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE)
- DOE Contract Number:
- AC05-00OR22725
- OSTI ID:
- 2324045
- Resource Relation:
- Journal Volume: 18; Conference: Building Simulation 2023 - Shanghai, , China - 9/4/2023 8:00:00 AM-9/6/2023 8:00:00 AM
- Country of Publication:
- United States
- Language:
- English
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