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{"title":"A Vision-Based Technique for Ice-Coating Shape Measurement of Transmission Lines Conductor","authors":"Ye Zhang, Luyao Wang, Pengchao Zhai, Long Zhao","doi":"10.1002/tee.70052","DOIUrl":null,"url":null,"abstract":"<p>Icing of overhead transmission lines can affect the safe operation of the power distribution and transmission grid due to the additional weight load of the accumulated ice-coating on transmission line conductors. Analyzing the shape of ice accumulation on transmission line conductors helps promote the calculation of ice thickness and weight. In this paper, we present a system for analyzing the shape of ice accumulation based on two digital cameras and an offline processing algorithm. The two cameras separately acquire an image sequence of the iced conductor from the top view and the front view. Then, an image processing algorithm extracts the conductor contour and measures both the diameters of the iced conductor images captured by the two cameras at the same point. An irregular-shape ice coating accumulation model is established and used to describe the cross-sectional ice coating shape of the accumulated ice on the conductor. Finally, a mathematical model for the ice coating weight is established. The proposed system was tested in laboratory experiments using two digital cameras with good low-temperature resistance. The experimental analysis results show that the average error ratio of the proposed irregular shape ice accumulation model in terms of area and thickness fitting are 0.0398 and 0.0612, respectively. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.</p>","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"20 8","pages":"1176-1185"},"PeriodicalIF":1.0000,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEJ Transactions on Electrical and Electronic Engineering","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/tee.70052","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
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Abstract
Icing of overhead transmission lines can affect the safe operation of the power distribution and transmission grid due to the additional weight load of the accumulated ice-coating on transmission line conductors. Analyzing the shape of ice accumulation on transmission line conductors helps promote the calculation of ice thickness and weight. In this paper, we present a system for analyzing the shape of ice accumulation based on two digital cameras and an offline processing algorithm. The two cameras separately acquire an image sequence of the iced conductor from the top view and the front view. Then, an image processing algorithm extracts the conductor contour and measures both the diameters of the iced conductor images captured by the two cameras at the same point. An irregular-shape ice coating accumulation model is established and used to describe the cross-sectional ice coating shape of the accumulated ice on the conductor. Finally, a mathematical model for the ice coating weight is established. The proposed system was tested in laboratory experiments using two digital cameras with good low-temperature resistance. The experimental analysis results show that the average error ratio of the proposed irregular shape ice accumulation model in terms of area and thickness fitting are 0.0398 and 0.0612, respectively. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.
基于视觉的输电线路导体覆冰形状测量技术
架空输电线路的覆冰会在输电线路导线上产生额外的重量负荷,从而影响配电网和输电网的安全运行。对输电线路导线上积冰形态的分析有助于冰厚和冰重的计算。本文提出了一种基于两台数码相机和离线处理算法的积冰形状分析系统。两个摄像头分别从顶视图和前视图获取结冰导体的图像序列。然后,图像处理算法提取导体轮廓,并测量两台摄像机在同一点捕获的结冰导体图像的直径。建立了不规则形状冰包积模型,用于描述导体上冰包积的截面冰包形状。最后,建立了覆冰重量的数学模型。采用两台具有良好耐低温性能的数码相机对该系统进行了室内实验。实验分析结果表明,提出的不规则形状积冰模型在面积拟合和厚度拟合方面的平均误差率分别为0.0398和0.0612。©2025日本电气工程师协会和Wiley期刊有限责任公司。
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