基于紫外成像的电晕放电检测技术改进研究

针对当前电晕放电检测存在检测精度低的问题，提出一种基于紫外成像的电晕放电检测方法。该方法将基于紫外成像的电晕放电检测效果的干扰因素划分为距离、增益、温度和湿度检测等；构建了紫外线成像电晕放电检测体系，采用物镜系统解决电晕放电目标成像问题，利用光传感器将电晕放电图像进行光电转换，结合紫外滤光片滤除日盲区之外的光波，采用控制分析体系将光的强度量进行统计并分析，同时控制整个检测体系。利用图像显示体系将电晕放电图像信息融合、显示。在紫外线成像电晕放电检测体系基础上，分别对检测干扰因素逐一处理，设计基于紫外成像的电晕放电检测流程图，完成电晕放电高质量检测。实验表明，文章所提方法不仅有效处理了电晕放电检测干扰因素，还提高了放电源检测的检测精度。

Corona Discharge Detection Technology Improvement Based on UV Imaging

For the low detection accuracy of current corona discharge detection methods, a corona discharge detection method based on ultraviolet imaging is proposed. The method divides the interference factors of corona discharge detection effect based on ultraviolet imaging into distance, gain, temperature and humidity detection, etc. The UV imaging corona discharge detection system is constructed, and the objective lens system is used to solve the problem of corona discharge target imaging. The photosensor photoelectrically converts the image of the corona discharge, and combines the ultraviolet filter to filter out the light wave outside the day blind zone. And the control analysis system is used to statistically analyze the intensity of the light and control the entire detection system. The corona discharge image information is fused and displayed by an image display system. On the basis of the ultraviolet imaging corona discharge detection system, the detection interference factors are processed one by one, and the corona discharge detection flow chart based on ultraviolet imaging is designed to complete the high-quality detection of corona discharge. Experiments show that the proposed method not only deals with the corona discharge detection interference factors effectively, but also improves the detection accuracy of the discharge power detection.