Photovoltaic module segmentation and thermal analysis tool from thermal images

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 pr...

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Bibliographic Details
Published in2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Vol. 4; pp. 1 - 6
Main Authors Montanez, Luis E., Valentin-Coronado, Luis M., Moctezuma, Daniela, Flores, Gerardo
Format Conference Proceeding
LanguageEnglish
Published IEEE 04.11.2020
Subjects
Adaptive equalizers
Cameras
Histograms
Image segmentation
Photovoltaic systems
Thermal analysis
Visualization
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Summary: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.
ISSN:2573-0770
DOI:10.1109/ROPEC50909.2020.9258760