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Dust Soiling Concentration Measurement on Solar Panels based on Image Entropy

机译:基于图像熵的太阳能电池板粉尘污染浓度测量

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摘要

Solar plants are often set up in desert and arid areas, characterised by rough operating conditions (e.g. Dust soiling, rainfall scarcity). Dust soiling accumulation on Photovoltaic (PV) panels adversely influences on their efficiency, in such a way, panel power decreases considerably. Once dust soiling concentration exceeds a certain level, the triggering of the cleaning process becomes a necessity. In this paper, we propose a novel image processing-based system that allows achieving two-fold measurements, starting with the quantification of dust soiling particles concentration deposited on the outer surface of solar panels. Furthermore, the proposed system permits estimating the produced power decrease rate of the inspected PV panels as well. This estimation is mainly achieved through the use of a well-distinguished telltalle i.e., small plasticised paper of size 20×10cm. This telltale is characterised with a distinctive texture (Grid texture). By calculating the image Entropy of the evoked telltale, the concentration of dust particles deposited on the solar panels can be precisely calculated.
机译:太阳能发电站通常设在沙漠和干旱地区,其特点是工作条件恶劣(例如,灰尘污染,降雨稀少)。光伏(PV)面板上的灰尘堆积会对其效率产生不利影响,以这种方式,面板功率会大大降低。一旦灰尘污染浓度超过一定水平,就需要触发清洁过程。在本文中,我们提出了一种新颖的基于图像处理的系统,该系统可以实现两次测量,从量化沉积在太阳能电池板外表面的灰尘颗粒的浓度开始。此外,所提出的系统还允许估计被检查的PV面板的产生的功率降低率。这种估计主要是通过使用区分明显的塔林(即尺寸为20×10cm的小增塑纸)来实现的。这个故事的特点是独特的纹理(网格纹理)。通过计算诱发的故事的图像熵,可以精确计算出沉积在太阳能板上的灰尘颗粒的浓度。

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