摘要
随着计算机视觉领域的突破性进展,图像处理技术可准确捕捉环境照度的时空分布特征,而深度学习模型为多源异构数据的融合分析提供了新的技术路径,两者的协同作用为室外照明的精细化调控创造了可能。因此,文章就多维度环境感知与自适应决策的深度融合机制展开探讨,意图构建具有强鲁棒性的智能室外灯光调节体系。
With the breakthrough progress in the field of computer vision,image processing technology can accurately capture the spatiotemporal distribution characteristics of environmental illumination,and deep learning models provide a new technical path for the fusion and analysis of multi-source heterogeneous data,and the synergy between the two has created the possibility of fine control of outdoor lighting.Therefore,this paper discusses the deep integration mechanism of multi-dimensional environmental perception and adaptive decision-making,with the intention of constructing an intelligent outdoor lighting adjustment system with strong robustness.
作者
张紫烨
陈瑛洁
ZHANG Ziye;CHEN Yingjie(College of Information Engineering(College of Software),Henan University of Animal Husbandry and Economy,Zhengzhou 450044,China)
出处
《中国照明电器》
2025年第7期134-136,共3页
China Light & Lighting
关键词
人工智能
物联网
室内灯光
自动感知
artificial intelligence
Internet of Things
outdoor lighting
automatic perception
