摘要
商业建筑作为城市能耗主体,传统时序控制与单一光感调节模式难以满足差异化照明需求,导致能效优化与用户体验难以协同。本研究提出多模态感知驱动的智能照明系统优化架构,通过异构传感器融合网络实时捕获人流动线、环境照度及空间功能状态,构建商业建筑照明需求动态预测模型。实验表明,系统可有效平衡商业综合体不同功能分区的照明需求,在保证视觉营销效果的前提下显著降低无效能耗。
As the main body of urban energy consumption,it is difficult for traditional timing control and a single light sensing adjustment mode to meet the differentiated lighting needs,resulting in the coordination between energy efficiency optimization and user experience.In this study,we propose an optimization architecture for intelligent lighting system driven by multi-modal perception,which captures the flow line,environmental illuminance and spatial function state in real time through a heterogeneous sensor fusion network,and constructs a dynamic prediction model of commercial building lighting demand.Experiments show that the system can effectively balance the lighting needs of different functional zones of the commercial complex,and significantly reduce the ineffective energy consumption under the premise of ensuring the visual marketing effect.
作者
杨浩
YANG Hao(Yingshang Jiaoneng Construction Engineering Co.,Ltd.,Fuyang 236200,China)
出处
《中国照明电器》
2025年第7期165-167,共3页
China Light & Lighting
关键词
智能照明
建筑电气
节能优化
intelligent lighting
building electrical
energy-saving optimization
