A context-aware lighting control system for smart meeting rooms

Abstract To keep the brightness suitable, manual lighting control usually distracts the attendees’ attentions in a meeting. Moreover, manual control needs several rounds of try to find a feasible solution, which delays the progress of meeting. And it's hard to find the suitable lightness for the most comfortable visual effect manually. A context-aware lighting control system is developed in this paper to overcome the shortcomings of the manual control. With the technology of context-awareness and Internet of Things (IoT), people and devices can be connected by seamless services. In this paper, the proposed system can sense the changes of contexts and adapt the light status appropriately. For that aim, an ontology-based context model and a rule-based reasoning approach are designed to detect and infer the context changes. Meanwhile, we also propose an allocation model to offer the optimal adjustment scheme of lighting when needed. This paper integrates the context-awareness and IoT techniques into Illuminating Engineering field, so as to extend its ability to provide automatic support to the changing tasks of human in the lit space.

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