Photovoltaic System Thermal Images

This article presents a dataset for thermal characterization of photovoltaic systems to identify snail trails and hot spot failures. This dataset has 277 thermographic aerial images that were acquired by a Zenmuse XT IR camera (7-13 μm wavelength) from a DJI Matrice 100 drone (quadcopter). Additionally, our dataset includes the next environmental measurements: temperature, wind speed, and irradiance. The experimental set up consisted in a photovoltaic array of 4 serial monocrystalline Si panels (string) and an electronic equipment emulating a real load. The conditions for images acquisition were stablished in a flight protocol in which we defined altitude, attitude, and weather conditions.

本文提出了一套用于光伏系统热特性表征、以识别蜗牛迹（snail trails）与热斑故障（hot spot failures）的数据集。该数据集包含277幅热成像航拍图像，由搭载于DJI经纬Matrice 100四旋翼无人机的禅思Zenmuse XT红外相机（工作波长7-13 μm）采集获得。此外，本数据集还包含环境温度、风速与辐照度（irradiance）三类环境测量数据。实验装置由4块串联单晶硅光伏组件构成的光伏组串（string），以及一台模拟真实负载的电子设备组成。图像采集的相关参数已通过飞行规程确定，其中涵盖飞行高度、飞行姿态与气象条件。

搜集汇总

背景与挑战

背景概述

该数据集包含277张热成像航空图像，用于光伏系统的热表征，旨在识别蜗牛纹和热点故障。图像由无人机搭载的红外相机采集，并附带温度、风速和辐照度等环境测量数据，适用于计算机视觉和模式识别研究。数据集由Universidad del Valle发布，采用CC BY 4.0许可证，具有明确的实验设置和飞行协议。