Energy Consumption Optimization of Highway Tunnel Lighting System Based on Intelligent Control
HE Xinyuan
Abstract：The expansion of the highway network and the increase in traffic volume have made the energy consumption of the highway tunnel lighting system more and more significant.The traditional sequential grading lighting mode leads to a lot of wasted energy consumption,and the existing brightness design standards often do not meet the actual needs.Therefore,in order to realize the intelligent calculation of brightness,the researchers designed a tunnel on-demand lighting algorithm based on LSTM-BP-GBDT-PSO by introducing machine learning and deep learning technology,and the experimental verification shows that its accuracy can meet the requirements of intelligent calculation.Combined with the advantages of time-series graded lighting,the algorithm was optimized to effectively reduce the number of dimming times while saving energy in the tunnel,so as to achieve the dual goals of"energy-saving lighting"and"stable dimming".
Keywords：highway tunnellightingIntelligent controlenergy consumption optimization
Publication Date：2025-04-25
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：3( 73-75 )