Abstract
With the development of society, the problem of energy shortage and environmental pollution is becoming more and more prominent. However, the phenomenon of permanent lights still exists in office buildings. At present, the lighting power consumption accounts for about 10% of the total power consumption in China. Therefore, it is necessary to research and develop intelligent lighting control systems easy to implement for energy-saving. Meanwhile, it is necessary to make full use of natural light sources to meet the demand of office illumination. In this paper, the intelligent dimming algorithm for-lighting group control is studied, which transforms room size and the location information of lighting & work station into two-dimensional coordinate data on the lighting plane. According to the illuminance contribution value and illuminance superposition law of point light sources in a certain work station, the linear programming optimization algorithm is used to calculate the dimming coefficient of each lamp for meeting the illuminance demand of each office work station and with the energy consumption of indoor lighting as the optimal objective as well. The simulation results show that compared with the existing lighting control methods, the proposed illumination control scheme can effectively meet the illumination requirements of offices, and save more than 30% energy.
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