基于神经网络和数学模型的荧光灯/Led系统照明优化控制

M. S. Tagueu, B. Ndzana
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引用次数: 0

摘要

本文提出了在照明优化过程中不同方法的比较。从双Fluo/LED灯具开始,设计了一个神经网络模型来表示灯具的调光水平和照度之间的关系。用数学方法建立了一个相似的模型,并与DIALux仿真结果进行了比较。所提出的模型,在一个特定的房间中实施,根据用户的偏好照明显示显着的节能。与实验结果相比,模型产生的误差较小。该方法易于在单片机系统中实现,适用于所有室内建筑。
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Lighting Optimisation Control of Fluo/Led Systems Using Neural Network and Mathematical Model
This article proposes a comparison of different approaches in the lighting optimization process. Beginning with the dual Fluo/LED luminaires, a neural network model is designed to represent the relationship between dimming levels of luminaires and illumination. A similar model is built with a mathematical approach and the obtained results from all these models are compared with DIALux simulation. The proposed models, implemented in a specific room, show significant energy savings according to users preference illumination. The error generated by the models is low compared to the experimental one. The proposed approach is easy to implement in a micro-controller system and is applicable in all interior building.
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