Research on health monitoring of LED lighting system

Abstract

Intelligent monitoring is a useful method to improve the efficiency of maintenance and reduce running costs for the LED lighting system with scattered distribution and large quantity of LEDs. A simple and effective proposal is raised in this paper for LED health monitoring. Firstly, the relation curve between LED life and junction temperature is fitted out based on its parameters tested in factory. Then the relationship between junction temperature and input electric parameters is deduced by LED heating mechanism, and the mathematical model of about the two previous is established by applying BP neural network. Thus, based on the relationship between LED life and input electric parameters the intelligent monitoring system could be easy to construct. The health monitoring system is designed by applying Zigbee wireless technology, integrating the sampling circuit of the input electric parameters on LED driver, processing and analyzing the data which is sampled in the LED driver output side and then transmitted wirelessly to the PC. A principle prototype of the monitoring system is made to do experiments, and the experimental results have verified the validity and feasibility of the electric parameter sampling circuit and the ZigBee data transmission. It is proved that the method proposed can achieve the LED damage detection and predict the residual life through data analysis of input electric parameter.