智能电网中的紫外成像图形分割

Segmentation of UV Images in Smart Grid

摘要: 近年来，智能电网已成为世界范围内的关注重点，而在智能电网环境中，如何智能自动化地对高压电气设备进行绝缘隐患检测分析并提早预警，有助于在故障早期及时发现和排查这些隐患，保障企业生产、运营工作正常进行。文章对紫外成像技术对高压电气设备电晕放电检测中的图像处理方法进行分析，对图像处理中的图像分割技术进行了研究，通过图像分割技术分割出电晕电弧放电区域，从而达到对电网系统进行检修维护的作用，为实现智能电网信息化，自动化和互动化提供了强有力的支撑。

Abstract: In recent years, Smart Grid has become the focus of worldwide attention. In Smart Grid environment, detecting insulated hazards of high voltage electrical equipment automatically and warning early is of great help in finding and troubleshooting the faults. It guarantees the enterprise production and operation correctly. The article analyzes the image processing method in detection of high voltage electrical equipment corona discharge by UV imaging technology, studies the image segmentation technology and uses it to split the corona and arc discharge area, in order to repair and maintain the power system, providing support for the informatization, automation and mutualism of Smart Grid.