Research On Building Intelligent Lighting Control System

In recent years,with the rapid growth of China’s economy,accompanied by increasing energy consumption and deteriorating environment,the government,the society and the public call for energy conservation and emission reduction and advocate green development,and intelligent lighting in buildings has become one of the hot issues concerned by today’s society.Compared with the traditional lighting control system,the intelligent lighting control system has the advantages of energy saving and easy control.This paper takes building intelligent lighting control system as the research object,analyzes the relevant functional requirements and characteristics of building intelligent lighting control system,and designs a building intelligent lighting control system with STM32 single chip microcomputer as the core chip.The system through the role of a variety of sensors such as sound sensor,illumination sensor,intelligent lighting control for the corridor,elevator,office and other areas of the building needs different lighting environment,combining natural light and indoor lighting,through the study of the two to establish a linear programming based BP neural network hybrid algorithm model.To realize the illumination prediction of indoor working surface and calculate the optimal LED fill light flux,by controlling the constant current driver chip to drive the LED lamp.Through DIALUX software simulation and experimental test,the results show that the intelligent lighting control system can accurately adjust the illumination value of LED lights,which can play the role of intelligent control and energy saving,and the energy saving rate of the system is about 30%.