基于红外图像的输电线路故障识别

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%。

High-temperature fault identification of transmission lines based on infrared image

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.