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IR real-time analyses for PV system monitoring by digital image processing techniques

机译:通过数字图像处理技术对光伏系统进行监控的红外实时分析

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PV modules as main component of PV system might be subjected to various internal or external stresses hence monitoring and maintenance are a crucial issue to assure PV module lifetime and appropriate energy performance. Current experimental research proposes an applicable approach of digital image processing technique in PV module inspection by thermography assessment. For this purpose, an algorithm was designed to perform IR images analysis. The monitoring was performed in order to detect defects and failures due to particular events on the PV systems by thermography analysis. The investigation was carried out by mounted IR thermo-camera (Flir A35) on a light Unmanned Aerial System (UAS) in Solar Tech Laboratory. The captured IR-images have been processed by proposed algorithm to determine specific defect and degradation percentage. The results have proven that digital image processing technique is very useful and reliable for IR-image analysis to identify possible defects during the PV module inspection procedure.
机译:光伏组件作为光伏系统的主要组件,可能会承受各种内部或外部压力,因此,监视和维护是确保光伏组件寿命和适当能源性能的关键问题。当前的实验研究提出了一种通过热成像评估在光伏组件检查中使用数字图像处理技术的方法。为此,设计了一种算法来执行红外图像分析。进行监控是为了通过热成像分析检测出由于光伏系统上的特定事件引起的缺陷和故障。通过在太阳能技术实验室的轻型无人航空系统(UAS)上安装红外热像仪(Flir A35)进行调查。所捕获的红外图像已通过提出的算法进行处理,以确定特定的缺陷和劣化百分比。结果证明,数字图像处理技术对于红外图像分析非常有用且可靠,可以在PV模块检查过程中识别出可能的缺陷。

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