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文章摘要
基于红外图像的输电线路故障识别
High-temperature fault identification of transmission lines based on infrared image
Received:August 27, 2018  Revised:September 25, 2018
DOI:10.19753/j.issn1001-1390.2019.024.016
中文关键词: 红外图像  输电线路  故障识别  检测结果
英文关键词: Infrared image  Transmission line  Fault identification  test result
基金项目:成都城电电力工程设计有限公司科技项目资助(合同号:2016-(z)-78)#$NL
Author NameAffiliationE-mail
LIANG Xing* Chengdu Chengdian Electric Power Project Design CO.,LTD. liangxing1976@aliyun.com 
YAN Ju-bin Chengdu Chengdian Electric Power Project Design CO.,LTD. liangxing1976@aliyun.com 
YIN Lei Chengdu Chengdian Electric Power Project Design CO.,LTD. liangxing1976@aliyun.com 
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中文摘要:
      传统红外图像输电线路故障识别方法易受到噪声的干扰,故障边缘特征信息模糊,不能准确找出输电线路故障的位置,存在识别准确率低,抗干扰性等难题,为此提出了基于红外图像对输电线路故障识别方法。首先采用红外成像仪器采集输电线路的温度变化图像,并采用粒子滤波算法去除故障图像中的噪声干扰,然后通过RGB色彩通道转换图像的故障边缘特征信息,并利用共轭梯度法对输电线路元件区域中的故障点进行识别和定位,最后实验结果表明,本文方法能够实现输电线路的故障准确定位,并且识别结果准确率高、抗干扰性强。
英文摘要:
      The traditional infrared image transmission line fault identification method is highly susceptible to noise interference, which makes it impossible to accurately find the location fault of transmission line, and has the problems of low accuracy of recognition results and poor anti-interference. Aiming at the above problems, a fault identification method based on infrared image for transmission line is proposed. Infrared imaging instrument is used to collect the temperature change image of the transmission line, and the particle filter algorithm is used to eliminate the noise interference in the image. The fault edge feature information of the image is converted by the RGB color channel, The high temperature fault point in the transmission line component region is identified and located by the conjugate gradient method. The simulation results show that the proposed method can accurately locate the high temperature faults of the transmission line, and the recognition result is high and the anti-interference is strong.
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