A low variation in data fusion together with a high stability is experimentally demonstrated in this work. The wireless data communication is designed to operate in compliance with the ZigBee standard, and signal processing on sensed data is made through a self adaptive weighted data fusion algorithm. are connected to a server by means of RS 232/485 and a human computer interface on a touch screen. A multimeter, a wireless light dimmer, an IR learning remote module, etc. The status of energy use is reflected by readings displayed on a handheld device, and it is treated as a criterion in the lighting mode design of a system. This work aims to develop a smart LED lighting system, which is remotely controlled by Android apps via handheld devices, e.g., smartphones, tablets, and so forth.
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