An Intelligent Strategy of Combining DayLighting and Artificial Illumination
WANG Jin-guang,XIAO Hui (Tongji University,Shanghai 201804,China)
An intelligent strategy of combining daylight and artificial illumination was presented with the conception of "green lighting". Using BP neural network to model,and control the adjustable lighting output and shutter automatically based on the interior daylighting level in a typical office room. But there are some problems when put it in use. We could not measure the interior daylight once the artificial lighting is on. So an Adaptive Neural Fuzzy Inference System is proposed. The interior daylighting level is predicted by the measurement of exterior natural lighting, which can be used as input of the BP neural network. Demonstrated by experimental data, this method can save energy significantly, and improve working environment and efficiency.
【CateGory Index】： TU113