超—特高压长串瓷绝缘子温度分布曲线拼接方法
CSTR:
作者:
中图分类号:

TM93

基金项目:

国家电网有限公司总部科技项目(52153219000F)


Temperature distribution curve splicing method for EHV-UHV long string porcelain insulators
Author:
  • 摘要
  • | |
  • 访问统计
  • |
  • 参考文献 [16]
  • | | | |
  • 文章评论
    摘要:

    红外热像检测法在瓷绝缘子低零值诊断领域拥有独特的优越性。但由于超—特高压瓷绝缘子串长度可达10 m以上,常用工业热像仪—机载镜头难以清晰地拍摄超—特高压瓷绝缘子全串红外图谱,对基于全串温度特征的劣化智能诊断造成了严重困难。针对此现实难题,提出一种基于加权数据融合的双段温度曲线拼接方法。本方法避免常规红外图像拼接方法存在的目标缺失问题,且相比于舍入拼接、中点拼接等曲线拼接方法具有较高的拟合准确性。以1 000 kV绝缘子串为例,阐明所提曲线拼接方法的基本算法和流程;以500 kV绝缘子串为例,进行多种曲线拼接方法的对比研究,分析验证所提方法的有效性与可行性。

    Abstract:

    The infrared thermal imaging detection method has unique advantages inthe diagnosis of low/zero-valued porcelain insulators. However, anEHV/UHV porcelain insulator string is generally too long (even 10 meters or above) to be entirely displayed in a single infrared imageshotbyan industrial handheld/airborne thermal camera, which causes serious difficulties to the intelligent diagnosis of deterioration based on the whole string temperature characteristics. To solve this problem, this article proposes a double-segmenttemperature curve splicing method based on weighted data fusion. This methodcan solve the problems of target missing byapplying general infrared image splicingtechnology, and can obtainhigher fitting accuracy compared with curve splicing methods such as rounding and midpoint splicing. The basic algorithm and process of the proposed curve splicing method are illustrated through an example ofa 1 000 kV insulator string.A comparative study of various curve splicing methods is carried out by taking a 500 kV insulator string into account.Therefore,the effectiveness and feasibility of the proposed method are verified.

    参考文献
    [1] 邱志斌,阮江军,黄道春,等.输电线路悬式瓷绝缘子老化形式分析与试验研究[J].高电压技术,2016,42(4):1259-1267.QIU Zhibin,RUAN Jiangjun,HUANG Daochun,et al.Study on aging modes and test of transmission line porcelain suspension insulators[J].High Voltage Engineering,2016,4(4):1259-1267.
    [2] 郭磊,张晓鹏,仝松利,等.低(零)值盘形悬式瓷绝缘子带电检测及实验研究[J].电瓷避雷器,2015(4):14-18.GUO Lei,ZHANG Xiaopeng,TONG Songli,et al.Energized test and experimental study of low(zero)resistance cap and pin ceramic insulators[J].Insulators and Surge Arresters,2015(4):14-18.
    [3] 王平,李抗,耿江海,等.110 kV 劣化瓷质悬式绝缘子空间电场研究[J].电测与仪表,2020,57(14):93-98.WANG Ping,LI Kang,GENG Jianghai,et al.Study on space electric field of 110 kV faulty porcelain suspension insulator[J].Electrical Measurement & Instrumentation,2020,57(14):93-98.
    [4] 闫丽梅,刘永强,徐建军等.基于Grabcut分割和填充物面积判别的复合绝缘子断串诊断[J].电力系统保护与控制,2021,49(22):114-119.YAN Limei,LIU Yongqiang,XU Jianjun,et al.Broken string diagnosis of composite insulator based on Grabcut segmentation and filler area discrimination[J]Power System Protection and Control,2021,49(22):114-119.
    [5] 胡世征.劣化绝缘子的发热机理及热像特征[J].电网技术,1997,21(10):44-46.HU Shizheng.Heating mechanism and thermograph of degradated insulators[J].Power System Technology,1997,21(10):44-46.
    [6] 李佐胜,姚建刚,杨迎建,等.湿污绝缘子发热模型[J].电工技术学报,2009,24(7):21-27.LI Zuosheng,YAO Jiangang,YANG Yingjian,et al.Heating model of polluted and wetted insulators[J].Transactions of China Electrotechnical Society,2009,24(7):21-27.
    [7] 居一峰,蒋卿,杨鹤猛,等.异常发热复合绝缘子温升的影响因素研究[J].智慧电力,2020,48(11):86-91.JU Yifeng,JIANG Qing,YANG Hemeng,et al.Study on influence factors of temperature rise on composite insulator with abnormal heating[J].Smart Power,2020,48(11):86-91.
    [8] 王思华,王军军,赵磊等.污秽成分对复合绝缘子表面电场的影响[J].中国电力,2021,54(7):149-157.WANG Sihua,WANG Junjun,ZHAOLei,etc Influence of pollution components on surface electric field of composite insulators[J].Electric Power,2021,54(7):149-157.
    [9] 方春华,方雨,李景,等.脉冲激光清洗瓷式绝缘子表面污秽温度场和应力场分析[J].高压电器,2020,56(04):62-67.FANG Chunhua,FANG Yu,LI Jing,et al.Analysis of temperature field and stress field of pollution on the surface of porcelain insulator cleaned by pulse laser[J].High Voltage Apparatus,2020,56(4):62-67.
    [10] 夏德分.红外热像检测零值绝缘子影响因素研究[D].长沙:湖南大学,2012.
    [11] 关石磊.基于红外热像的零值绝缘子识别方法研究[D].长沙:湖南大学,2012.
    [12] 彭子健.基于红外热像的瓷绝缘子劣化识别技术研究[D].长沙:湖南大学,2018.
    [13] 唐睿,张铭予,徐宏,等.基于深度学习的输电线路巡检图像绝缘子识别[J].电网与清洁能源,2021,37(4):41-46.TANG Rui,ZHANG Mingyu,XU Hong,et al.Insulator recognition in transmission line inspection image based on deep learning[J].Power System and Clean Energy,2021,37(4):41-46.
    [14] 杨蕊,李雪.基于显著特征的红外全景图像拼接[J].激光杂志,2020,41(6):98-101.YANG Rui,LI Xue.Infrared panoramic image mosaic based on salient features[J].Laser Journal,2020,41(6):98-101.
    [15] 代少升,姚俐.基于ROI的高精度红外全景拼接算法研究[J].半导体光电,2020,41(4):572-577.DAI Shaosheng,YAO Li.Research on the method of infraredpanoramic image mosaic based on ROI[J].Semiconductor Optoelectronics,2020,41(4):572-577.
    [16] 顾晓东,唐丹宏,黄晓华.基于深度学习的电网巡检图像缺陷检测与识别[J].电力系统保护与控制,2021,49(5):91-97.GU Xiaodong,TANG Danhong,HUANG Xiaohua.Deep learning-based defect detection and recognition of a power grid inspection image[J].Power System Protection and Control,2021,49(5):91-97.
    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

周学明,尹骏刚,胡丹晖,等.超—特高压长串瓷绝缘子温度分布曲线拼接方法[J].电力科学与技术学报,2022,37(3):199-205.
ZHOU Xueming, YIN Jungang, HU Danhui, et al. Temperature distribution curve splicing method for EHV-UHV long string porcelain insulators[J]. Journal of Electric Power Science and Technology,2022,37(3):199-205.

复制
分享
文章指标
  • 点击次数:83
  • 下载次数: 801
  • HTML阅读次数: 0
  • 引用次数: 0
历史
  • 在线发布日期: 2022-07-24
文章二维码