Abstract

In order to flexibly and effectively complete the intelligent lighting distributed control, this paper studies the intelligent lighting distributed control algorithm based on sensor network technology. In this method, a complete sensor network was constructed by the establishment of sensor network and the successful access of nodes. The characteristics of data structure information in sensor networks were sampled to optimize the channel equalization configuration in sensor networks, thus achieving the data acquisition. Then, the adaptive weighting algorithm was utilized to fuse the collected sensing information to improve the accuracy and stability of the data, obtaining high-precision acquisition data. The mapping relationship was established to realize the distributed control of intelligent lighting after the implementation of high-precision data learning and training. The results show that the method has high precision data acquisition, and can complete the distributed control of intelligent lighting according to the changes of the target illumination area, human physiological information and environmental information.

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