The Optimization Study of the Color and Temperature Regulation Algorithm for LED Lighting Based on Machine Learning
With the increasing popularity of smart home and building environment,LED lighting,with its high efficiency,long life and low energy consumption characteristics,has been widely used in the field of modern lighting.The color temperature regulation involves the adjustment of the physical parameters of the light source,which is more closely related to the user's visual experience,emotional changes and environmental adaptability.However,the traditional color temperature control method relies on fixed algorithms and rules,lacks real-time intelligent feedback,which is difficult to meet the personalized and dynamically changing lighting needs.Therefore,this paper will deeply discuss the optimization of LED lighting color temperature regulation algorithm based on machine learning,aiming to improve the accuracy and response speed of color temperature regulation through the optimization algorithm,and improve the user experience.
LED lightingcolor and temperature regulationmachine learning
NETL
NSTL
万方数据
