基于深度学习的LED照明系统光色质量优化研究  

Study on Light-Color Quality Optimization of LED Lighting System Based on Deep Learning

作　　者：梁冰玉 张亚须 LIANG Bingyu;ZHANG Yaxu(Huanghe Jiaotong University School of Intelligent Engineering,Jiaozuo 454950,China)

机构地区：[1]黄河交通学院智能工程学院,河南焦作454950

出　　处：《中国照明电器》2024年第9期18-20,共3页China Light & Lighting

基　　金：黄河交通学院校级项目“计算机视觉”(HHJTXY-2022kczyk107)。

摘　　要：随着用户需求的多样化和应用场景的复杂化发展,传统的LED光色质量调整方法迎来了灵活性不足和精确度不高的双重挑战。因此,本文将对基于深度学习的LED照明系统光色质量优化方法展开深入探讨,以期为实现更高效、更智能的照明控制提供理论支持和技术参考。With the diversification of user needs and the complexity of application scenarios,the traditional LED light-color quality adjustment method is faced with the dual challenges of insufficient flexibility and low accuracy.Therefore,this paper will deeply explore the deep learning-based light-color quality optimization method of LED lighting system,in order to provide theoretical support and technical reference for the realization of more efficient and intelligent lighting control.

关 键 词：深度学习 LED照明 光色质量 

分 类 号：TU113.66[建筑科学—建筑理论]