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Condition monitoring system for solar power plants with radiometric and thermographic sensors embedded in unmanned aerial vehicles

机译:嵌入式航空车辆辐射和热敏传感器的太阳能发电厂状态监测系统

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The photovoltaic solar energy industry is expanding, and there is therefore a need to increase and improve its maintainability, operating costs, availability, reliability, safety, life cycle, etc. The aim of this article is to design, develop and check a new condition monitoring system to detect dust in solar photovoltaic panels. The condition monitoring system uses a radiometric sensor connected to an Arduino platform. This novel approach is based on emissivity analysis produced over a surface and characterized with a low emissivity value when dust appears. A thermographic camera is also employed to validate the results provided by the radiometric sensor. The system is designed to be embedded in an unmanned aerial vehicle. Radiometric data is sent and analysed, Internet of Things is employed, and thermograms are stored for further processing. Several scenarios with a real solar panel are used in the experiments, in which the angles and distances of the sensors and surface conditions are studied. An analysis of the radio-metric sensor provides accuracy results, and the presence of dust is identified in all scenarios. (C) 2019 Elsevier Ltd. All rights reserved.
机译:光伏太阳能产业正在扩展,因此需要增加和改善其可维护性,运营成本,可用性,可靠性,安全性,生命周期等。本文的目的是设计,开发和检查新的条件监测系统检测太阳能光伏板中的灰尘。状态监测系统使用连接到Arduino平台的辐射传感器。这种新方法基于表面产生的发射率分析,并在出现灰尘时具有低发射率值的特征。也采用热显卡照相机来验证辐射传感器提供的结果。该系统设计用于嵌入无人驾驶飞行器中。发送和分析辐射数据,采用物联网,存储热图以进行进一步处理。实验中使用具有真正太阳能电池板的几种情况,其中研究了传感器和表面条件的角度和距离。对无线电度量传感器的分析提供了准确度结果,并且在所有场景中识别出灰尘的存在。 (c)2019年elestvier有限公司保留所有权利。

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