城轨列车受电弓滑板磨耗检测技术研究

为实现城轨列车受电弓滑板磨耗的在线非接触式检测,对城轨列车受电弓滑板磨耗检测技术进行研究。提出一种基于图像处理的受电弓滑板磨耗检测方法,其步骤为:首先,对采集系统采集到的原始图像进行图像滤波,滤除原始图像中的混合噪声;然后,采用基于直方图凹度分析的自适应Canny边缘检测方法对滤波后的图像进行边缘检测,检测出图像内受电弓滑板边缘;最后,通过相机标定和曲线融合获得实际的受电弓滑板磨耗曲线,以判断受电弓滑板磨耗是否超限。试验结果表明:该方法能有效地检测出原始图像中的受电弓滑板磨耗曲线,能有效地实现城轨列车受电弓滑板磨耗的在线非接触式检测。

Research on Abrasion Detection of Pantograph Slipper of Urban Rail Train

In order to realize online non-contact detection of the abrasion of the pantograph slipper of the urban rail train,abrasion detection technologies are studied. In this paper,an abrasion detection method based on image processing is proposed. The steps involved are as follows: firstly,the mixed noise of the original image from the acquisition system is removed by image filtering; then the edge of the pantograph slipper in the image is detected by the adaptive canny edge detection based on histogram concavity analysis after image filtering; and finally,the abrasion curve of the pantograph slipper is obtained by camera calibration and curve blending to judge whether the abrasion of the pantograph slipper is transfinite. The results of the experiment show that the proposed method is effective to detect the pantograph slipper abrasion curve in the original image and realize online non-contact detection of the abrasion of the pantograph slipper of the urban rail train.