Fusing Sensors for Occupancy Sensing in Smart Buildings
Understanding occupant-building interactions helps in personalized energy and comfort management. However, occupant identification using affordable infrastructure, remains unresolved. Our analysis of existing solutions revealed that for a building to have real-time view of occupancy state and use it intelligently, there needs to be a smart fusion of affordable, not-necessarily-smart, yet accurate enough sensors. Such a sensor fusion should aim for minimalistic user intervention while providing accurate building occupancy data. We describe an occupant detection system that accurately monitors the occupants’ count and identities in a shared office space, which can be scaled up for a building. Incorporating aspects from data analytics and sensor fusion with intuition, we have built a Smart-Door using inexpensive sensors to tackle this problem. It is a scalable, plug-and-play software architecture for flexibly realizing smart-doors using different sensors to monitor buildings with varied occupancy profiles. Further, we show various smart-energy applications of this occupancy information: detecting anomalous device behaviour and load forecasting of plug-level loads.
KeywordsSmart Door Smart Building Energy Saving User Comfort Electrical Energy
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- 1.Agarwal, Y., Balaji, B., Gupta, R., Lyles, J., Wei, M., Weng, T.: Occupancy-driven energy management for smart building automation. In: Proceedings of the 2Nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building, BuildSys 2010, pp. 1–6. ACM, New York (2010), http://doi.acm.org/10.1145/1878431.1878433 Google Scholar
- 2.Balaji, B., Xu, J., Nwokafor, A., Gupta, R., Agarwal, Y.: Sentinel: Occupancy based hvac actuation using existing wifi infrastructure within commercial buildings. In: Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems, SenSys 2013, pp. 17:1–17:14. ACM, New York (2013), http://doi.acm.org/10.1145/2517351.2517370
- 3.Emmerich, S., Persily, A.: State-Of-The-Art Review of Co2 Demand Controlled Ventilation Technology and Application. Diane Publishing Company (2001), http://books.google.co.in/books?id=1hrONzju3IYC
- 6.Ghai, S., Thanayankizil, L., Seetharam, D., Chakraborty, D.: Occupancy detection in commercial buildings using opportunistic context sources. In: 2012 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), pp. 463–466 (March 2012)Google Scholar
- 7.Hnat, T.W., Griffiths, E., Dawson, R., Whitehouse, K.: Doorjamb: unobtrusive room-level tracking of people in homes using doorway sensors. In: Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems, pp. 309–322. ACM (2012)Google Scholar
- 8.Labs, K.: Kinect sdk xna [Programming Guide] (2011), http://www.kosaka-lab.com/tips/2011/06/kinect-sdk-xna.php
- 9.Lee, K.C., Ho, J., Yang, M.H., Kriegman, D.: Video-based face recognition using probabilistic appearance manifolds. In: Proceedings of 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1, pp. I–313–I–320 (June 2003)Google Scholar
- 10.Padmanabh, K., Malikarjuna V, A., Sen, S., Katru, S.P., Kumar, A., Vuppala, S.K., Paul, S.: isense: A wireless sensor network based conference room management system. In: Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings, BuildSys 2009, pp. 37–42. ACM, New York (2009), http://doi.acm.org/10.1145/1810279.1810288 CrossRefGoogle Scholar
- 11.Palani, K., Nasir, N., Prakash, V.C., Chugh, A., Gupta, R., Ramamritham, K.: Putting smart meters to work: Beyond the usual. In: Proceedings of the 5th International Conference on Future Energy Systems, e-Energy 2014, pp. 237–238. ACM, New York (2014), http://doi.acm.org/10.1145/2602044.2602084 Google Scholar
- 12.van der Veen, J., van der Waaij, B., Meijer, R.: Sensor data storage performance: Sql or nosql, physical or virtual. In: 2012 IEEE 5th International Conference on Cloud Computing (CLOUD), pp. 431–438 (June 2012)Google Scholar