Dataset for recognition of snail trails and hot spot failures in monocrystalline Si solar panels

Abstract

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 1drone (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. Keywords: Photovoltaic array inspection, Monocrystalline Si panels, Snail trails, Hot spot defects, Thermographic images analysis, Unmanned aerial vehicles