Research on Visual Comfort Regulation Performance of Smart Shading Blinds Based on Dynamic Programming Algorithm
LUO Zhaoyang
DONG Qi
YANG Yang
LIU Ying
QI Xuanning
Abstract：Smart and effective regulation of shading blinds can adapt to dynamic light environments and continuously create a visually comfortable lighting environment.However,existing control systems often suffer from unclear mechanisms regarding visualcomfort indicators and lack sufficient capabilities in dynamic prediction and smart decision-making.This research integrates machine learning techniques with the dynamic programming algorithm from reinforcement learning to develop a dynamic indoor lighting environment prediction model and an intelligent agent.This approach addresses the limitations of nonlinear fitting in dynamic prediction and the lack of precision in regulation,thereby enabling effective control of intelligent shading blinds with improved visual comfort performance.
Keywords：smart shadingreinforcement learningartificial intelligencedaylighting environment comfort
Publication Date：2025-08-30
Online Publishing Date：2025-09-17(First online date of this platform, not the publication date of the document)
Pages：9( 148-156 )