Solar LED Street Lamp Charge Controller with the Perception of Weather Charge Based on ZigBee and GPRS
XU Mengyang
LUO Suqin
CHEN Guodong
ZHU Xiangou
Abstract：To solve the contradiction between lighting requirement of solar LED street lamp and power depending on weather,a Solar LED Street Light Charge Controller with the Perception of Weather Charge is designed.Neural Network Model is built to make a prediction of future solar power through the historical weather information and previous generation of solar power.The prediction of power generation is sent to terminal controller of solar LED street lamp through data communication network based on ZigBee and GPRS.Fuzzy control strategy is used to adjust the brightness of LED light by the terminal controller through the predicted power generation and remaining power of battery,and the best lighting effect is achieved.What's more,the continuous lighting time of rainy weather is increased.
Keywords：solar LED street lampprediction of electric power generationperception of weatherZigBeeGPRS
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 54-58 )