热力发电2025，Vol.54Issue(3)：131-139,9.DOI:10.19666/j.rlfd.202406162
基于平均灰度值与图像融合算法的光伏板积灰程度识别
Identification of degree of ash accumulation on photovoltaic panels based on average grayscale value and image fusion algorithm
陈佳豪 1杨建蒙 1李斌 1王广溢1
作者信息
- 1. 华北电力大学能源动力与机械工程学院,河北 保定 071003
- 折叠
摘要
Abstract
In order to accurately analyze the ash accumulation on photovoltaic panels,a photovoltaic dust visualization experimental platform was built,and the average grayscale value was introduced to numerically analyze the photovoltaic panel images.The clear correspondence between the average grayscale value of photovoltaic panel images and the dust density of photovoltaic panels was verified.On this basis,five fusion methods were used to fuse the visible light images and infrared images collected from the dual spectral image fusion experimental platform.The five types of fusion images were combined with visible light images and infrared images to form an image dataset.These seven types of images were identified and analyzed.The results showed that,the recognition effect of infrared images on the degree of ash accumulation on photovoltaic panels was the least affected by irradiance,with the highest accuracy,and the most significant change in the degree of ash accumulation was reflected.This conclusion can provide a theoretical basis for the study of ash accumulation rules and is of great significance for the recognition of the degree of ash accumulation on photovoltaic panels.关键词
积灰检测/平均灰度值/图像融合/积灰程度Key words
ash accumulation detection/average grayscale value/image fusion/ash accumulation degree引用本文复制引用
陈佳豪,杨建蒙,李斌,王广溢..基于平均灰度值与图像融合算法的光伏板积灰程度识别[J].热力发电,2025,54(3):131-139,9.
