Inspections and Detection System for Hotspots in Photovoltaic Farms Using UAV

Asma Fatani, Ahlam AlAhdal
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Abstract

This paper discusses the hotspot problem that affects solar panels’ efficiency and output power with a solution approach to this problem. This project aims to detect hotspots to reduce financial losses and maintain high performance. Using infrared thermography (IR) camera connected to an auto-controlled drone (UAV), a continuous scan of the surface of the installed solar panels is applied. The hotspot is dangerous because it is hidden and sometimes cannot be discovered until the total damage to the cell happens. Since a hotspot can quickly occur due to environmental conditions such as dust, dirt, shading, or manufactural causes, it requires a continuous check to maintain highly efficient performance and a safe working area.
基于无人机的光伏电站热点检测系统
本文讨论了影响太阳能电池板效率和输出功率的热点问题,并提出了解决这一问题的方法。该项目旨在检测热点,以减少财务损失并保持高性能。使用连接到自动控制无人机(UAV)的红外热成像(IR)摄像机,对安装的太阳能电池板表面进行连续扫描。热点是危险的,因为它是隐藏的,有时直到细胞完全损坏才被发现。由于灰尘、污垢、阴影或制造原因等环境条件可能很快产生热点,因此需要持续检查以保持高效的性能和安全的工作区域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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