In this work, we have presented an intelligent light control system that can automatically control lighting to satisfy each user’s illuminative requirement. Besides, utilize WSNs to collect and re-port illumination of environment and user’s information. The user requirement is decided by the current activity of the user. Fixed user requirement scheme can satisfy each user’s illuminative demands which are set by our system according to users’ current activities for background light and concentrated light. On the other hand, personalized user requirement scheme obtains users’
requirements for different activities from users and attempts to maximize total satisfaction of each user to guarantee that satisfaction of each user should be above a predefined threshold. If the indoor environment has adequate sunlight, we can use the external light to reduce the energy consumption of lighting devices and still satisfy each user’s requirement. The device control algorithm forms a closed-loop to control lighting to achieve the optimal illumination which is computed by decision algorithm for each device. We implement our the system in an indoor environment. While our system detects that users move or change activity in the space, our system adjusts the lighting to satisfy users’ requirements.
We only discuss how to control lighting in an indoor environment. We can not directly apply our system to other environmental factors, such as sound, temperature, and humidity. In our future work, we can improve our system to adapt other environmental factors. Besides, the users’ preference must be beforehand in our system. Hence, in the future, we can design a learning system to obtain the users’ preference automatically such that our system would be more suitable to real life
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