TY - GEN
T1 - Designing an adaptive lighting control system for smart buildings and homes
AU - Wang, Yuan
AU - Dasgupta, Partha
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/6/1
Y1 - 2015/6/1
N2 - Lighting control in smart buildings and homes can be automated by having computer controlled lights and blinds along with illumination sensors that are distributed in the building. However, programming a large building light switches and blind settings can be time consuming and expensive. We present an approach that algorithmically sets up the control system that can automate any building without custom programming. This is achieved by making the system self calibrating and self learning. This paper described how the problem is NP hard but can be resolved by heuristics. The resulting system controls blinds to ensure even lighting and also adds artificial illumination to ensure light coverage remains adequate at all times of the day, adjusting for weather and seasons. In the absence of daylight, the system resorts to artificial lighting. Our method works as generic control algorithms and are not preprogrammed for a particular place. The feasibility, adaptivity and scalability features of the system have been validated through various actual and simulated experiments.
AB - Lighting control in smart buildings and homes can be automated by having computer controlled lights and blinds along with illumination sensors that are distributed in the building. However, programming a large building light switches and blind settings can be time consuming and expensive. We present an approach that algorithmically sets up the control system that can automate any building without custom programming. This is achieved by making the system self calibrating and self learning. This paper described how the problem is NP hard but can be resolved by heuristics. The resulting system controls blinds to ensure even lighting and also adds artificial illumination to ensure light coverage remains adequate at all times of the day, adjusting for weather and seasons. In the absence of daylight, the system resorts to artificial lighting. Our method works as generic control algorithms and are not preprogrammed for a particular place. The feasibility, adaptivity and scalability features of the system have been validated through various actual and simulated experiments.
UR - http://www.scopus.com/inward/record.url?scp=84941193960&partnerID=8YFLogxK
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U2 - 10.1109/ICNSC.2015.7116079
DO - 10.1109/ICNSC.2015.7116079
M3 - Conference contribution
AN - SCOPUS:84941193960
T3 - ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control
SP - 450
EP - 455
BT - ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 12th IEEE International Conference on Networking, Sensing and Control, ICNSC 2015
Y2 - 9 April 2015 through 11 April 2015
ER -