基于多尺度模板匹配的配电线路劣化绝缘子红外热像检测

童志鹏, 邱志斌, 吴睿雯, 周志彪, 范鹏, 沈厚明

童志鹏, 邱志斌, 吴睿雯, 周志彪, 范鹏, 沈厚明. 基于多尺度模板匹配的配电线路劣化绝缘子红外热像检测[J]. 红外技术, 2023, 45(12): 1337-1345.
引用本文: 童志鹏, 邱志斌, 吴睿雯, 周志彪, 范鹏, 沈厚明. 基于多尺度模板匹配的配电线路劣化绝缘子红外热像检测[J]. 红外技术, 2023, 45(12): 1337-1345.
TONG Zhipeng, QIU Zhibin, WU Ruiwen, ZHOU Zhibiao, FAN Peng, SHEN Houming. Infrared Thermal Image Detection of Faulty Insulators in Distribution Lines Based on Multi-scale Template Matching[J]. Infrared Technology , 2023, 45(12): 1337-1345.
Citation: TONG Zhipeng, QIU Zhibin, WU Ruiwen, ZHOU Zhibiao, FAN Peng, SHEN Houming. Infrared Thermal Image Detection of Faulty Insulators in Distribution Lines Based on Multi-scale Template Matching[J]. Infrared Technology , 2023, 45(12): 1337-1345.

基于多尺度模板匹配的配电线路劣化绝缘子红外热像检测

详细信息
    作者简介:

    童志鹏(1996-)男,硕士研究生,主要研究方向为电气设备状态评估与红外故障诊断。E-mail:931865391@qq.com

    通讯作者:

    邱志斌(1991-)男,博士(后),副教授,主要从事输变电设备外绝缘与放电预测、电磁场数值计算及其工程应用、电力视觉与人工智能等方面的研究工作。E-mail:qiuzb@ncu.edu.cn

  • 中图分类号: TM726

Infrared Thermal Image Detection of Faulty Insulators in Distribution Lines Based on Multi-scale Template Matching

  • 摘要: 瓷绝缘子在配电线路中应用广泛,受长期机电应力与户外恶劣环境影响,在运行中易发生劣化。红外热像法是一种重要的劣化绝缘子带电检测方法,具有检测方便、安全高效和非接触式的优点,已成为线路巡检的重要手段,但劣化绝缘子热像特征不明显,肉眼识别易出现误判。为此,本文首先对配电线路瓷绝缘子进行温度场仿真分析,然后提出了一种劣化绝缘子红外热像检测方法,采用多尺度模板匹配算法定位识别绝缘子,获取绝缘子红外图像中的坐标参数,并对其进行分割提取,通过最小二乘线性拟合提取绝缘子表面温度。结合相关标准与仿真分析结果,通过同类比较判断法对比多个绝缘子温度状态的差异,实现劣化绝缘子检测。
    Abstract: Porcelain insulators are widely used in power distribution lines, but they are susceptible to degradation during operation owing to long-term electromechanical stress and harsh outdoor environments. Infrared thermal imaging is an important live insulator degradation detection method. It has the advantages of convenient detection, safety, high efficiency, and non-contact operation. It has become an important method in power inspection. However, the thermal image characteristics of faulty insulators are not evident and cannot be recognized directly by the naked eye. Therefore, in this study, we first conduct a temperature field simulation analysis of porcelain insulators in distribution lines and then propose an infrared thermal image detection method for faulty insulators. A multi-scale template matching algorithm is used to locate and identify the insulators. The coordinate parameters of the insulator in the infrared image are obtained, the insulator is segmented and extracted by multi-scale template matching, and the temperature of the insulator is extracted by least-square linear fitting. Combined with the relevant standards and simulation analysis results, the differences in the temperature states among multiple insulators were compared using a similar comparison judgment method to detect faulty insulators.
  • 图  1   劣化绝缘子检测流程

    Figure  1.   Flowchart of faulty insulator detection

    图  2   杆塔模型

    Figure  2.   Pole tower model

    图  3   温度云图

    Figure  3.   Temperature cloud image

    图  4   BM3D算法流程

    Figure  4.   Flowchart of BM3D algorithm

    图  5   红外图像预处理

    Figure  5.   Infrared image pre-processing

    图  6   模板匹配演示

    Figure  6.   Template matching demonstration

    图  7   模板匹配结果

    Figure  7.   Template matching result

    图  8   多尺度模板匹配算法模型

    Figure  8.   Multi-scale template matching algorithm model

    图  9   多尺度模板匹配结果

    Figure  9.   Results of multi-scale template matching

    图  10   温宽条及其部分灰度矩阵

    Figure  10.   Temperature width bar and its partial gray matrix

    图  11   最小二乘线性拟合结果

    Figure  11.   Results of least squares linear fitting

    图  12   绝缘子区域温度分布

    Figure  12.   Insulator region temperature distribution

    图  13   P-10型绝缘子红外图像分割提取结果

    Figure  13.   P-10 insulator infrared image segmentation extraction results

    图  14   PS-15型绝缘子定位识别结果

    Figure  14.   PS-15 insulator positioning identification results

    表  1   材料属性

    Table  1   Material parameters

    Property Heat conductivity
    /[W(m2·K)-1]
    Specific heat capacity
    /[J(kg·℃)-1]
    Cap 1.22 816
    Cement 2 80
    Pin 4.5 465
    Wire Aluminum 170 881
    Steel 43 470
    Insulation 0.4 800-1200
    下载: 导出CSV

    表  2   仿真结果

    Table  2   The simulation results

    Maximum temperature Global Insulator
    Normal insulator 33.4℃ 31.3℃
    Low resistance insulator 33.4℃ 32.4℃
    Zero resistance insulator 31.2℃ 29.7℃
    下载: 导出CSV

    表  3   灰度值以及与其对应的温度

    Table  3   Gray value and its corresponding temperature

    Gray Value (x) 27 39 51 60 66 75 81 90 96 105 112 120
    Temperature (y)/℃ 1 2 3 4 5 6 7 8 9 10 11 12
    Gray Value (x) 132 141 150 159 165 177 186 195 207 219 225 235
    Temperature (y)/℃ 13 14 15 16 17 18 19 20 21 22 23 24
    下载: 导出CSV

    表  4   P-10型绝缘子红外热像的温度提取结果

    Table  4   Temperature extraction results of P-10 insulator infrared thermal image

    Sequence number Original images Frequency maximum gray value Actual temperature /℃
    1 a.jpg 215 22.1556
    2 b.jpg 216 22.2688
    3 c.jpg 214 22.0424
    4 d.jpg 215 22.1556
    5 e.jpg 221 22.8347
    6 f.jpg 206 21.1368
    7 g.jpg 216 22.2688
    8 h.jpg 221 22.8347
    下载: 导出CSV

    表  5   PS-15型绝缘子红外热像的温度提取结果

    Table  5   Temperature extraction results of PS-15 insulator infrared thermal image

    Sequence number Original images Frequency maximum gray value Actual temperature /℃
    1 i.jpg 217 22.3820
    2 j.jpg 224 23.1744
    3 k.jpg 215 22.1556
    4 l.jpg 216 22.2688
    下载: 导出CSV
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  • 收稿日期:  2022-11-25
  • 修回日期:  2022-12-27
  • 刊出日期:  2023-12-19

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