Photovoltaic module segmentation and thermal analysis tool from thermal images

TL;DR

This paper presents an automated image processing and thermal analysis tool for photovoltaic modules, enabling efficient detection, segmentation, and temperature-based performance assessment, with a user-friendly interface for system monitoring.

Contribution

It introduces a novel digital image processing algorithm for photovoltaic module segmentation combined with thermal analysis and a GUI for practical system monitoring.

Findings

Effective module detection and segmentation from thermal images.

Accurate temperature-based analysis of photovoltaic modules.

User interface facilitates easy monitoring and data interpretation.

Abstract

The growing interest in the use of clean energy has led to the construction of increasingly large photovoltaic systems. Consequently, monitoring the proper functioning of these systems has become a highly relevant issue.In this paper, automatic detection, and analysis of photovoltaic modules are proposed. To perform the analysis, a module identification step, based on a digital image processing algorithm, is first carried out. This algorithm consists of image enhancement (contrast enhancement, noise reduction, etc.), followed by segmentation of the photovoltaic module. Subsequently, a statistical analysis based on the temperature values of the segmented module is performed.Besides, a graphical user interface has been designed as a potential tool that provides relevant information of the photovoltaic modules.