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An On-site calibration method for on-line detection system of wheelset geometric parameters

机译:用于轮廓几何参数的在线检测系统的现场校准方法

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Wheelset is one of the most important parts of the train, and the malfunction of the wheelset will directly affect the drivingsafety. Accurate and efficient wheelset geometric parameters detection is of great significance to the development ofrailway systems. Online measurement system using structured light is the current research hotspot, which has theadvantages of non-contact, fast speed, etc. This paper proposes an in-field calibration method that is with simple operation,high efficiency and high precision for the on-line detection system. Position of the feature points was obtained with theaccuracy of sub-pixel level. Considering two kinds of (radial and tangential distortion) distortions at the same time, theLM (Levenberg-Marquardt) optimization algorithm was used to obtain the nonlinear equations with the smallestcomprehensive error. Then the internal and external parameters of the camera are obtained. In addition, the method hasbeen applied to the site. High-precision result of wheel diameter which is obtained from on-line diameter inspectionequipment can be used to correct the situation when the structure light deviates from the center of the circle. The fieldmeasurements show that the error of the wheel pair parameters using this algorithm is within 0.3 mm and has goodrepeatability.
机译:Wheelset是火车最重要的部分之一,而Wheelset的故障将直接影响驾驶安全。准确效率的轮廓几何参数检测对于开发具有重要意义铁路系统。使用结构灯的在线测量系统是当前的研究热点,具有非接触式,快速等的优点。本文提出了一种具有简单操作的现场校准方法,在线检测系统的高效率和高精度。用的位置点的位置子像素级别的准确性。考虑到两种(径向和切向变形)的扭曲同时,LM(Levenberg-Marquardt)优化算法用于获得最小的非线性方程综合误差。然后获得相机的内部和外部参数。此外,该方法具有已应用于该网站。车轮直径的高精度结果,从线直径检测获得设备可用于纠正结构光偏离圆形中心时的情况。场测量结果表明,使用该算法的轮对参数的误差在0.3毫米内,并具有良好的重复性。

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