本论文研究的主题是建筑内智能光环境感知系统，目标是利用稀疏的实地布置 传感器配合智能算法和建筑模拟来实现建筑内部大面积实时光环境感知，应用场 景为以节能和室内人员舒适为目标的建筑照明控制。目前建筑照明能耗占建筑总 能耗超过 20%，精细化的自然光利用和调节对于有效降低照明能耗和人员舒适感 有巨大的潜力。而目前主流的照明控制系统停留在利用照度计来获取建筑内单点 的光照数据，无法高效低廉地实时获取大面积光照度分布。本论文介绍一种物理 信息系统融合的智能光环境感知系统 - 自主设计了一个可以实时采集入射太阳光 的传感器，同时结合开源建筑光环境仿真软件 Radiance 对室内几何结构进行仿真， 可以实时计算出室内光照度分布。本论文主要工作为开发可以采集太阳光照度的 传感器，同时对于实时计算室内光照分布做了一些原理性验证实验。

The theme of this thesis is smart illuminance sensing in buildings. The goal is largescale real-time illuminance distribution sensing via a combination of sparsely deployed sensors, data processing and building simulation. The primary application is smart building lighting control for energy efficiency and occupancy comfort. Artificial lighting takes up more than 20% of total building energy consumption. Better usage of daylight can have great potential in reducing artificial lighting consumption and improving occupancy wellbeing. Currently the mainstream approach for illuminance sensing is using lux meter for single point measurement, which is cumbersome and hard to scale-up. This thesis introduces a novel cyber-physical system for illuminance sensing. We designed a physical sensor system which could capture daylight influx realtime. Together with the usage of an open-source daylighting software Radiance to model building exterior, this system can calculate real-time illuminance distribution. The main contribution of this thesis is the physical sensor system development and leveraging the cyber-physical system as a whole to perform validation experiments.