基于图像边缘检测和法向探测的导线覆冰监测方法  

A Conductor Icing Monitoring Method Based on Image Edge Detection and Normal Direction Detection

作　　者：杨俊 高昱峰 张可 汪银 张雅琳 夏娜[3] 姚钢 YANG Jun;GAO Yufeng;ZHANG Ke;WANG Yin;ZHANG Yalin;XIA Na;YAO Gang(Hangzhou Power Supply Company,State Grid Zhejiang Electric Power Company,Hangzhou 310007,Zhejiang,China;State Grid Electric Power Research Institute Co.,Ltd.,Hefei 230088,Anhui,China;School of Computer and Information Technology,Hefei University of Technology,Hefei 230009,Anhui,China)

机构地区：[1]国网浙江省电力有限公司杭州供电公司,浙江杭州310007 [2]国网电力科学研究院有限公司,安徽合肥230088 [3]合肥工业大学计算机与信息学院,安徽合肥230009

出　　处：《电网与清洁能源》2023年第2期24-32,共9页Power System and Clean Energy

基　　金：国家电网有限公司总部科技项目(5500-202140127A)。

摘　　要：输电线路导线覆冰是影响电网安全稳定运行的主要隐患之一,现有的覆冰监测存在传感器监测类型单一、精度低、不能实时处理等突出问题。提出了一种基于图像边缘检测和法向探测的覆冰监测方法。该方法首先对线路的微拍图像进行预处理,并采用八邻域追踪等算法进行边缘检测获得导线最长边,进一步设计了边缘法向探测的覆冰厚度检测方法。此法不仅可以判断是否存在覆冰,而且可以计算出导线的覆冰厚度。基于ARM 8.2处理器的嵌入式系统实验结果表明,所提出的方法实时检测导线覆冰厚度的相对误差不超过9%,且比现有的称重法降低了约6.1%。Transmission line conductor icing is one of the main hidden dangers affecting the safe and stable operation of the power grid. The existing icing monitoring has outstanding problems such as single type of sensor monitoring,low accuracy,and inability to process in time. This paper proposes a new icing monitoring method based on image edge detection and normal direction detection. The method first preprocesses the micro-photographed image of the line,and uses algorithms such as eight-neighborhood contour tracking for edge detection to obtain the longest edge of the conductor,and further designs an edge normal direction detection method for ice cover thickness detection,which can not only determine whether there is ice,but also calculate the icing thickness of the conductor. The experimental results of the embedded system based on the ARM 8.2 processor show that the relative error of the method proposed in this article for the real-time detection of conductor icing thickness is less than 9%,about 6.1%lower than the existing weighing method.

关 键 词：导线覆冰 图像处理 八邻域追踪 法向探测 厚度检测 

分 类 号：TM75[电气工程—电力系统及自动化]