基于图像识别的光伏板积灰判断研究
Research on the Determination of Dust Accumulation in Photovoltaic Panels Based on Image Recognition
高武山 1阚斌 1王志杰 1陈志文 1张克玉1
作者信息
- 1. 中节能甘肃武威太阳能发电有限公司,甘肃武威 733000
- 折叠
摘要
光伏板长期工作在户外环境中,由于大气中尘埃、颗粒物、工业排放物等的沉积会造成光伏板较为严重的积灰现象.光伏板积灰不仅影响其发电效率,还严重影响光伏板的使用寿命,甚至造成光伏板的损毁.文章介绍了光伏板积灰的形成原因和对光伏系统的影响,分析了图像识别技术在光伏板积灰检测中的原理和方法,提出了基于深度学习的图像处理算法,以实现高效准确的积灰检测.
Abstract
Photovoltaic panels work in outdoor environments for a long time,and the deposition of dust,particulate matter,industrial emissions,etc.in the atmosphere can cause serious dust accumulation in photovoltaic panels.The accumulation of dust on photovoltaic panels not only affects their power generation efficiency,but also seriously affects the service life of photovoltaic panels,and even causes damage to them.The article introduces the causes of dust accumulation on photovoltaic panels and its impact on photovoltaic systems.It analyzes the principles and methods of image recognition technology in detecting dust accumulation on photovoltaic panels and proposes an image processing algorithm based on deep learning to achieve efficient and accurate dust accumulation detection.
关键词
光伏发电/深度学习/光伏板积灰/图像识别Key words
photovoltaic power generation/deep learning/dust accumulation on photovoltaic panels/image recognition引用本文复制引用
出版年
2024
NETL
NSTL
万方数据