潜供电弧模拟实验图像边缘检测与形态特征分析

夏天 1，刘洪顺1*，李润昌2，孙秋芹3，李庆民4，丛浩熹4

(1．山东省特高压输变电技术与装备重点实验室(山东大学)，山东省 济南市 250061；

2．国网杭州供电公司，浙江省 杭州市 310016； 3．湖南大学电气与信息工程学院，湖南省 长沙市 410082；4．新能源电力系统国家重点实验室(华北电力大学)，北京市 昌平区 102206)

Edge Detection and Morphological Characteristics Analysis of

Secondary Arc Simulation Experiment Image

Abstract: The use of image edge detection technology toobtain the contour figure of secondary arc is the basis foranalyzing the morphological characteristics of the secondaryarc. In this paper, the gray image was successively processedby median filter, Gauss filter, image segmentation based onOtsu algorithm and Canny edge detection, propose an edgedetection method for a secondary arc image. Based on the graydistribution histogram of the arc column, the characteristics ofthe uneven brightness distribution of the secondary arc wereobtained. Based on the extracted secondary arc contour image,the secondary arc root contraction, arc column short circuit andspiral structure, as well as the coexistence of the cathode arcroots, the irregular motion characteristics of the anode arc rootjump were effectively identified. The arc length variation,displacement characteristics and arc diameter change duringthe motion process of secondary arc were analyzed. The resultsshow that the arc length increases continuously and thediameter of the arc column periodically change during thecontinuous reignition, the offset to the right in the horizontaldirection and the continuous upward movement in the verticaldirection were conducted in displacement characteristics.Morphological characteristics of secondary arc under different.

摘要：采用图像边缘检测技术得到潜供电弧轮廓图形，是分析潜供电弧形态特征的基础。基于灰度图像开展中值滤波与高斯滤波、大津算法的图像分割以及Canny 边缘检测，提出了潜供电弧图像的边缘检测方法。根据弧柱的灰度分布直方图，分析了潜供电弧亮度分布不均匀的特征；通过提取的潜供电弧轮廓图像，有效识别了潜供电弧的弧根收缩、弧柱短接现象和螺旋结构，以及阴极弧根并存、阳极弧根跳跃的不规则运动特性。分析了潜供电弧运动过程中的弧长变化、位移特性以及弧柱直径的变化，结果表明，潜供电弧在连续重燃的过程中，弧长不断增加，弧柱直径呈周期性变化，在位移特性方面保持水平方向的向右偏移和垂直方向的持续上升运动。分析了不同潜供电流下的潜供电弧形态特征，结果表明，潜供电弧的弧长与直径随潜供电流的增加而增大。上述研究成果可为潜供电弧燃弧和熄灭特性的深入研究提供理论依据和技术支撑。

关键词：潜供电弧；边缘检测；电弧长度；弧柱直径；弧柱位移

With the continuous completion and widespreaduse of extra-high-voltage/ultra-high-voltage (EHV/UHV) transmission lines, the research on secondary archas become more and more extensive and in-depth. Inthe past, the morphology characteristics of secondary arcwere analyzed only qualitatively. In this paper, thecharacteristic parameters such as arc length, arc columndiameter and displacement are quantitatively extracted,and the characteristics of secondary arc are moreintuitively reflected. In order to solve the false contourphenomenon caused by the strong light-emittingcharacteristic of the secondary arc, an edge detectionmethod for the secondary arc image is proposed, asshown in Fig. 1

Fig. 2 shows the results of a typical secondary arcimage after grayscale processing, image filtering, imagesegmentation and Canny edge detection.The form of a secondary arc is constantly changingduring the movement. In order to obtain the variationdata of the arc length, a typical sample of four sets ofsecondary arc images under the same working conditions(30A for secondary current, 17.1kV/m for recoveryvoltage gradient, and 0.002s sampling time interval)were selected for analysis. The length variation of thesecondary arc is shown in Fig. 3.