复杂背景中输电线路不均匀覆冰厚度测量方法
CSTR:
作者:
作者单位:

(1.三峡大学电气与新能源学院,湖北 宜昌 443002;2.三峡大学湖北省输电线路工程技术研究中心,湖北 宜昌 443002)

通讯作者:

吴先用(1963—),男,博士,教授,主要从事控制理论与控制工程研究;E?mail:wuxianyong@ctgu.edu.cn

中图分类号:

TM755

基金项目:

国家自然科学基金青年科学基金(52107108);湖北省输电线路工程技术研究中心开放课题(2019KXL06);湖北省重点研发计划(2020BAB110)


Measurement method for thickness of uneven icing on transmission line in complex background
Author:
Affiliation:

(1.College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, China; 2.Hubei Provincial Engineering Technology Research Center for Power Transmission Line, China Three Gorges University, Yichang 443002, China)

  • 摘要
  • | |
  • 访问统计
  • |
  • 参考文献 [13]
  • | | | |
  • 文章评论
    摘要:

    为提高输电线路覆冰厚度测量精度,提出一种复杂背景图像中输电线路不均匀覆冰厚度测量的新方法。首先,采用图像灰度化、中值滤波去噪及最大类间方差图像分割法对输电线路覆冰图像进行预处理;然后,结合输电线路覆冰信息和背景噪声的连通域特征,提取复杂背景下覆冰输电线路轮廓;最后,针对局部覆冰厚度不均匀的现象,采用一种垂线逼近的方法获取输电线路的覆冰厚度。实验结果表明,采用连通域参数特征的输电线路目标提取方法可在背景复杂、对比度低的图像中准确提取覆冰输电线路轮廓。对于局部覆冰不均匀的区域,垂线逼近方法明显优于传统的霍夫变换方法,可以显著提高输电线路覆冰厚度测量精度。

    Abstract:

    To enhance the measurement accuracy of icing thickness on transmission lines, a novel method for measuring the thickness of uneven icing on transmission lines in complex background images was proposed. Firstly, a series of preprocessing steps, including image grizzling, median filter denoising, and maximum inter-class variance method, were applied to the transmission line icing images. Subsequently, by leveraging the connected domain characteristics of transmission line icing information and background noise, the contour of the icing transmission line was extracted from the complex background. Finally, to address the issue of local uneven icing thickness, a vertical approximation method was employed to obtain the pixel width of icing transmission lines. The experimental results demonstrate that the proposed transmission line target extraction method, based on the parameter features of connected domain, can accurately extract the icing transmission line contour from images with complex backgrounds and low contrast. Moreover, the vertical line approximation method is obviously superior to the traditional Hough transform method in areas with local uneven icing, significantly improving the measurement accuracy of icing thickness on transmission lines.

    参考文献
    [1] 刘闯,何沁鸿,卢银均,等.输电线路PSOEM?LSSVM覆冰预测模型[J].电力科学与技术学报,2020,35(6):131?137. LIU Chuang,HE Qinhong,LU Yinjun,et al.PSOEM?LSSVM forecasting model for the transmission lines icing[J].Journal of Electric Power Science and Technology,2020,35(6):131?137.
    [2] 张璐,李晨语,蔡永翔,等.考虑潮流越限风险的柔性交流配电网融冰优化策略[J].电力系统自动化,2022,46(16):160?169. ZHANG Lu,LI Chenyu,CAI Yongxiang,et al.Optimal de?icing strategy for flexible AC distribution network considering risk of power flow over limit[J].Automation of Electric Power Systems,2022,46(16):160?169.
    [3] 韩兴波,吴海涛,郭思华,等.用于覆冰环境测量的旋转多导体直径选择方法研究[J].电工技术学报,2022,37(15):3973?3980. HAN Xingbo,WU Haitao,GUO Sihua,et al.Research on diameter selection method of rotating multi?conductor for measurement of icing environmental parameters[J].Transactions of China Electrotechnical Society,2022,37(15):3973?3980.
    [4] 杨知,赵彬,李闯,等.基于星地融合的输电线路覆冰预警优化方法研究[J].电测与仪表,2022,59(11): 54?62. YANG Zhi,ZHAO Bin,LI Chuang,et al.Study on optimization method of transmission line icing prediction based onsatellite?ground fusion[J].Electrical Measurement & Instrumentation,2022,59(11): 54?62.
    [5] 麻卫峰,王成,王金亮,等.基于激光点云的高压输电线覆冰厚度反演[J].电力系统保护与控制,2021,49(4):89?95. MA Weifeng,WANG Cheng,WANG Jinliang,et al.Inversion of ice thickness for high voltage transmission line based on a LiDAR point cloud[J].Power System Protection and Control,2021,49(4):89?95.
    [6] 李昭廷,郝艳捧,李立浧,等.利用远程系统的输电线路覆冰厚度图像识别[J].高电压技术,2011,37(9):2288?2293. LI Zhaoting,HAO Yanpeng,LI Licheng,et al.Image recognition of ice thickness on transmission lines using remote system[J].High Voltage Engineering,2011,37(9):2288?2293.
    [7] 姚景岩,杨世勇,舒征宇,等.基于航拍的输电线路覆冰厚度监测研究[J].高压电器,2021,57(8):105?114. YAO Jingyan,YANG Shiyong,SHU Zhengyu,et al.Research on monitoring of ice?coating thickness of transmission line based on aerial image[J].High Voltage Apparatus,2021,57(8):105?114.
    [8] WANG X P,HU J L,WU B,et al.Study on edge extraction methods for image?based icing on?line monitoring on overhead transmission lines[C]//IEEE International Conference on High Voltage Engineering & Application(IEHVE),Chongqing,China,2008.
    [9] YANG M,CAI L,SU P,et al.Image recognition of icing thickness on power transmission line based on fractal edge detection[J].Revista de la Facultad de Ingenieria,2017,32(11):320?329.
    [10] 胡京,邓颖,蒋兴良,等.输电线路覆冰垭口微地形的特征提取与识别方法[J].中国电力,2022,55(8):135?142. HU Jing,DENG Ying,JIANG Xingliang,et al.Feature extraction and identification method of ice?covered saddle mircotopography for transmission lines[J].Electric Power,2022,55(8):135?142.
    [11] 罗聪,范力栋,赵学文,等.基于VMD?IGWO?LSSVM的覆冰预测模型研究[J].电网与清洁能源,2021,37(6):9?17. LUO Cong,FAN Lidong,ZHAO Xuewen,et al.Research on ice coating prediction model based on VMD?IGWO? LSSVM[J].Power System and Clean Energy,2021,37(6):9?17.
    [12] 阳林,念路鹏,郝艳捧,等.基于数值模拟的导线覆冰类型临界条件分析[J].智慧电力,2021,49(5):101?107. YANG Lin,NIAN Lupeng,HAO Yanpeng,et al.Critical condition analysis of wire icing type based on numerical simulation[J].Smart Power,2021,49(5):101?107.
    [13] 林泽超.基于深度学习的输电线路覆冰厚度检测方法研究[D].哈尔滨:哈尔滨工程大学,2021. LIN Zechao.Research on detection method of transmission line ice thickness based on deep learning[D].Harbin:Harbin Engineering University,2021.
    相似文献
    引证文献
    网友评论
    网友评论
    分享到微博
    发 布
引用本文

贺晓倩,吴先用,魏业文.复杂背景中输电线路不均匀覆冰厚度测量方法[J].电力科学与技术学报,2023,38(3):224-229.
HE Xiaoqian, WU Xianyong, WEI Yewen. Measurement method for thickness of uneven icing on transmission line in complex background[J]. Journal of Electric Power Science and Technology,2023,38(3):224-229.

复制
分享
文章指标
  • 点击次数:288
  • 下载次数: 848
  • HTML阅读次数: 0
  • 引用次数: 0
历史
  • 在线发布日期: 2023-09-19
文章二维码