智能电网中紫外图像的形态学滤波处理

Morphological Filtering of UV Images in Smart Grid

摘要: 近年来，智能电网已成为全球的研究热点。在智能电网环境中，通过紫外成像技术对高压电气设备电晕放电现象进行在线观测，对观测图像进行处理，对高压电气设备进行绝缘隐患检测分析并给出预警，实现在故障早期及时发现和处理这些隐患，保障电力运营工作正常进行。对观测图像进行处理是一个系统的工程，文章对图像分割技术中的形态学滤波处理进行了详细的研究，通过形态学滤波处理分割出电晕电弧放电区域，结合检测设备，能够自动化进行监测分析，并及时预警，解决输电线路处于恶劣复杂的自然环境中难以进行人工检测分析的问题。从而达到对电网系统进行检修维护的指导意义，为实现智能电网自动化维护提供支撑。

Abstract: In recent years, Smart Grid has been a research focus in the world. In Smart Grid environment, real-time observation on the corona discharge in high voltage electrical equipment through the UV imaging technology helps process images, analyze and warn the insulation defects in order to find the fault and deal with the defect in early time and guarantee the power system working normally. It’s a systematic project to process the images. Morphology in image segmentation is studied and used to part off the corona discharge area, warning and analyzing through the equipment auto-matically to solve the problems about transmission lines in the odious environment which are hard for manual work. Thereby, guiding significance about maintain the power system is reached and automatic maintenance in Smart Grid is supported.