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
梁冰玉 1张亚须1
作者信息
- 1. 黄河交通学院智能工程学院,河南 焦作 454950
- 折叠
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.
Abstract
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Key words
deep learning/LED lighting/light and color quality引用本文复制引用
基金项目
黄河交通学院校级项目(HHJTXY-2022kczyk107)
出版年
2024
NETL
NSTL
万方数据