论文标题
来自热图像的光伏模块分割和热分析工具
Photovoltaic module segmentation and thermal analysis tool from thermal images
论文作者
论文摘要
对使用清洁能源的兴趣日益增加，导致构建越来越大的光伏系统。因此，监视这些系统的正确功能已成为一个高度相关的问题。在本文中，提出了自动检测和分析光伏模块。为了执行分析，首先是基于数字图像处理算法的模块识别步骤。该算法由图像增强（对比度增强，降噪等）组成，然后分割光伏模块。随后，执行基于分段模块的温度值的统计分析。Besides，图形用户界面已被设计为提供光伏模块相关信息的潜在工具。
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.
