Research On Intelligent Lighting Control System Based On Meteorological Conditions

With the rapid development of industrialization,the climate problem is becoming increasingly serious,and the national large-scale haze weather is increasing rapidly,which brings severe challenges to the safety of road lighting.Haze can hinder the spread of ligh,reducing the visibility and illumination of the road,causing traffic accidents frequently.Therefore,in order to improve the safety performance of road lighting and make the road have a good lighting environment,this paper studies the lighting characteristics of high-pressure sodium lamp,metal halide lamp and LED lamp with different color temperature under different haze conditions;At the same time,in view of the weakening effect of haze weather on road illumination,the intelligent lighting control system based on meteorological conditions is designed,and the corresponding software platform is developed,the BP neural network model based on the optimization algorithm is constructed,and completes the system optimization design.The main contents of this paper include the following three aspects:Firstly,according to the main factors of haze formation,a haze generation device is designed.Through this device,we can simulate the combination of different temperature,humidity and particle concentration.Secondly,based on the simulated conditions of different concentrations of haze,the transmittance experiment of light source under different haze conditions is designed.Through the analysis of the recorded experimental data,this paper summarizes the lighting characteristics of different kinds of light sources under different haze conditions,and concludes that the transmittance of LED light source under the same haze conditions is better than that of metal halide lamp and that of high-pressure sodium lamp.Finally,in view of the current road lighting can’t automatically adjust the light intensity of the LED light according to the weather conditions and the changes of the external environment light,using the research results of different light sources in different haze conditions,an intelligent lighting control system based on meteorological conditions is designed.and an dynamic dimming model of "expected illumination = environment illumination + lamp compensation illumination" is established.With the strong ability of neural network to approach nonlinear function,a BP neural network prediction model is constructed,which takes ambient illumination,temperature,humidity,PM2.5 and PM10 concentration as input and PWM signal as output.The dynamic light compensation strategy is proposed,and the network model parameters are obtained through training to make the road illumination value stable at the expected illumination level.