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Indoor Constant Illumination Control Strategy Research Based on Natural Lighting Analysis

机译:基于自然照明分析的室内恒定照明控制策略研究

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摘要

Lighting energy consumption occupies a large proportion in the building electricity consumption. It cannot only save energy, but also reduce the uneven and constant illumination of the working face, which makes full use of the natural lighting and combines with the intelligent lighting control. An office building in Zhengzhou of China has been selected as an example for analyzing the climatic factors that influence building daylighting and the factors of the building itself, the illuminance of working faces in different sky models and at different times has been simulated and calculated to analyze the illuminance variation law in the direction of room depth and parallel direction of side Windows. Partition and point combined constant illumination control strategy for the lamps in different areas has been put forward and realized by BP neural network algorithm. By controlling the dimming of artificial light source and adjusting the curtain opening degree intelligently, uniform and constant illumination has been achieved. Energy saving effect in combination with natural lighting has been evaluated to prove that the control strategy cannot only maintain constant illumination in every working face but also significantly reduce the electric energy consumption and carbon dioxide emissions.
机译:照明能耗在建筑电力消耗中占据了很大比例。它不仅可以节省能源,还可以减少工作面的不均匀和常数照明,这充分利用了自然照明,并与智能照明控制相结合。已被选中郑州办事处作为分析影响建筑物的气候因素和建筑本身的因素的示例,模拟和计算了不同天空模型和不同时间的工作面的照度。照度变异律在室内深度方向和侧窗的平行方向。通过BP神经网络算法提出和实现了不同区域中灯的分区和点组合的恒定照明控制策略。通过控制人造光源的调光并智能地调节帘幕开度,已经实现了均匀和恒定的照射。已经评估了节能效果与自然照明的组合证明控制策略不能仅在每个工作面上保持恒定的照明,而且显着降低了电能消耗和二氧化碳排放。

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