基于高光谱成像技术的绝缘子污秽度检测

摘要：目前研究证明，运行绝缘子的污闪现象仍然威胁着电力系统的安全可靠运行，而传统的检测方法难以实现非接触
检测，高光谱成像技术是一种将图像信息与光谱信息相结合的无损检测技术，有潜力成为电力设备外绝缘的重要检测手
段。为了研究高光谱成像技术在绝缘子污秽度检测中的应用，提出了一种新的数据处理方法。一方面，光谱处理结果表
明，污秽度与反射率值、反射率波形与基材之间存在对应关系；另一方面，图像处理结果证明，利用主成分分析和K 均
值聚类算法可以区分污秽区域和非污秽区域。以上证明了高光谱成像技术在绝缘子外绝缘检测中的应用是可行的，具有
广阔的应用前景。
关键词：输电线路绝缘子，污秽程度，高光谱成像技术，光谱处理，图像处理
期刊：IEEE 20th International Conference on Dielectric Liquids (ICDL),
DOI:10.1109/ICDL.2019.8796617
设备:GaiaField

Pollution Degree Detection of Insulators based on Hyperspectral Imaging Technology

Abstract—Present researches prove that the pollution flashover of operating insulators still threatens the safe and reliable operation
of power system. However, traditional detection methods are difficult to achieve noncontact detection. The hyperspectral imaging
technology is a nondestructive testing technology which combines image information and spectral information, therefore it has
potential to become an important detection method for power device external insulation. In order to study the application of
hyperspectral imaging technology in the detection of insulator pollution degree, a new data processing method is produced. On the
one hand, the result of spectral processing shows that there are corresponding relationships between the pollution degree and the
reflectivity value, the reflectivity waveform and base material. On the other hand, the result of image processing proves that it can
distinguish between the polluted and non polluted areas by using principal components analysis and K means clustering algorithm.
The above parts prove that the application of hyperspectral imaging technology in the detection of insulator's external insulation is
feasible and it will have a broad application prospect.
Keywords—transmission line insulators, pollution degree, hyperspectral imaging technology, spectral processing, image
processing