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.

Photovoltaic module segmentation and thermal analysis tool from thermal images

“…The proposed approach has been tested on sample thermal images with different conditions from [4], acquired by a thermal camera (Zenmuse XT IR camera) mounted on an unmanned aerial vehicle (DJI Matrice 100).…”

Detection and analysis of deteriorated areas in solar PV modules using unsupervised sensing algorithms and 3D augmented reality

“…Prior to the segmentation and visualization processes, data collection was conducted using the Cali-Thermal Solar Panels Image database [52] , [53] and Solar Panel Infrared Image Database [54] . This comprehensive datasets include a wide range of test images depicting various areas of solar panel deterioration, as illustrated in Fig.…”

Dataset of thermographic images for the detection of buried landmines

“…The values of these variables on the days of thermography acquisition can be consulted in [7] . The environmental variables reported are those considered in other works of thermographic captures from a drone [8] .…”