artificial Intelligence Driven Intelligent Lighting System Design and Optimization
TAN Shengxin
WANG Fujin
Abstract：Addressing the inapplicability of existing lighting systems and the challenge of multi-objective optimization and balance,a solution for an AI-based smart lighting control system is proposed against the backdrop of achieving the"dual carbon"goals and smart buildings.The four-layer cyclic control model,encompassing"perception-decision-execution-feedback",utilizes algorithms such as deep reinforcement learning for multi-objective optimization and balance design.Through experiments conducted under three different working conditions,this paper demonstrates that the system's energy consumption per unit area is reduced by 29％-41％compared to traditional PID control,with a dynamic response lag time of 1.5-3.2 seconds and a user satisfaction rate of over 88％.Its performance surpasses that of traditional control systems and holds promising application prospects.
Keywords：artificial intelligenceintelligent lightingsystem design
Publication Date：2026-01-25
Online Publishing Date：2026-03-05(First online date of this platform, not the publication date of the document)
Pages：3( 106-108 )