Application of Image Processing in Automatic Adjustment of Indoor Lighting Equipment
WU Wenling
Abstract：The intelligent transformation of indoor lighting system is the key to reduce building energy consumption and improve living environment.This paper puts forward the control methods based on image processing:first,build a spatial light field model,dynamically turn off redundant light sources and supplement light cooperatively;The second is to combine LSTMbehavior prediction and multi-objective optimization algorithm to realize personalized lighting adaptation of multi-user scenes.The experiment shows that the application of the system in office area can reduce energy consumption by 31.2%and improve the illuminance compliance rate to 96%.In the conference room scene,the user behavior learning model can further save energy,and the average daily energy consumption is reduced by 17.5%by behavior learning.
Keywords：image processingindoor lightingautomatic adjustmentenergy efficiency optimisation
Publication Date：2025-07-25
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：3( 81-83 )