The Research On The Control Strategy Of Indoor Intelligent Lighting Combined With Natural Lighting

With the rapid development of social economy, the problem of energy shortageand environmental pollution faced by human society is increasingly prominent,energy conservation and environmental protection has become essential. The energyconsumption of architectural lighting occupies a large part of the china’s energyconsumption, and it increases year by year. How to take advantage of natural lightand reduce energy consumption of architectural lighting has become a major researchdirection of architectural lighting. The daylight characteristic and influencing factorsof daylighting is analysied. Under the premise of meeting the human eye’s comfort,the control strategy on indoor intelligent lighting combined with natural lighting isproposed, and it minimizes the energy consumption. It provides a theoretical supportfor developing the actual green intelligent lighting control system. The main contentsare as follows：(1) The main source of natural light is analyzed, and the relationship betweennatural light and artificial lighting is studied. The model of calculating direct sunlightand sky model under different weather conditions is given. The dimming principle oncommon LED lighting is studied.(2) In the pattern of very sunny weather, cloudy weather and mixed weather, theinfluencing factors of indoor natural illumination including the height of the bottomof the window, the transmittance of the window, the proportion of the window, andthe orientation of the window are analysed in detail. The specific conclusions areobtained.(3) Based on the requirements of indoor lighting control of natural lighting, thecontrol strategy of blinds angle based on double fuzzy controller is researched. Thespecific design’s process, simulation’s models is given and the feasibility of method isverified by simulation. Considering the impact of indoor reflected light，the model ofindoor illumination is established based on the transfer matrix of luminous flux. Thecontrol strategy of artificial dimming based on particle swarm optimization isproposed. Within the range to the error of illumination, the consumption of lamps is minimized.(4) Taking a45square meters of office space as an example, the effect of energysaving of the control strategy on indoor intelligent lighting combined with naturallighting is analysied. In the pattern of without the use of natural light, switch controlcombined with natural lighting, intelligent dimming combined with natural lighting,The annual power consumption and monthly power consumption is analyzed andcalculated. Finally, conclusions are as follows: compared with without the use ofnatural light, intelligent dimming combined with natural lighting saves annual powerconsumption in720.225kwh, power consumption fell by75%, and compared withswitch control combined with natural lighting, intelligent dimming combined withnatural lighting saves annual power consumption in172.854kwh, power consumptionfell by42%...