基于红外图像的输电线路故障识别

Fault identification of transmission lines based on infrared image

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,抗干扰性差等难题,为此提出了基于红外图像对输电线路故障识别方法。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,通过RGB色彩通道转换对输电线路红外图像的故障区域进行划分,利用共轭梯度法对输电线路故障区域的故障点进行识别和定位。实验结果表明,该方法能够实现输电线路故障的准确定位和高精度识别,且定位精度高达80%。

The traditional infrared image method for fault identification of transmission lines is susceptible to noise interference,and the fault edge feature information is blurred.It cannot accurately locate the fault location of transmission lines,and there are some problems such as low recognition accuracy and anti-interference.Therefore,a method for fault identification of transmission lines based on infrared image is proposed.Firstly,the infrared imaging instrument is used to collect the temperature change image of transmission line,and the particle filter algorithm is used to remove the noise interference in the fault image.The fault area of transmission line infrared image is divided by RGB color channel conversion,and the fault point of transmission line fault area is identified and located by conjugate gradient method.Finally,the experimental results show that the proposed method can effectively identify and locate the fault point of transmission line fault area,and the positioning accuracy is as high as 80%.