水泥厂光伏热斑故障红外检测
Infrared detection of photovoltaic hot spot faults in cement plants
潘朝宇 1申汉杰2
作者信息
- 1. 中国中材国际工程股份有限公司(南京),江苏南京 211000
- 2. 四川思卓科技有限公司,四川成都 610057
- 折叠
摘要
在水泥厂的整个光伏发电系统中,光伏组件暴露在室外,工作环境恶劣,也就导致了其故障率要更高而热斑故障是最为主要的一种故障形式.采用现在被广泛采用的自适应的中值滤波去噪红外检测方法,本文在MALAB上实现了图像的预处理,所提出的图像处理算法具有相当的可应用性,可以在图像处理中得到所想要的处理结果.
Abstract
In the entire photovoltaic power generation system of the cement plant,photovoltaic modules are exposed outdoors and the working environment is harsh,which leads to a higher failure rate,and hot spot failure is the most common form of failure.By using the widely adopted adaptive median filtering denoising infrared detection method,this article has achieved image preprocessing on MAL-AB.The proposed image processing algorithm has considerable applicability and can obtain the desired processing results in image pro-cessing.
关键词
光伏热斑故障/红外检测/图像处理/算法Key words
photovoltaic hot spot faults/infraed detection/image processing/algorithm引用本文复制引用
出版年
2024
NETL
NSTL
万方数据