基于激光摄像式传感器的轨底坡动态检测方法研究

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振动与冲击 ›› 2018, Vol. 37 ›› Issue (18) : 251-256.

论文

熊仕勇1 陈春俊1 王锋2 夏银2

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Dynamic detection method for rail cants based on laser camera transducers

XIONG Shiyong1 CHEN Chunjun1 WANG Feng2 XIA Yin2

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摘要

动态检测轨底坡可高效指导铁路运营维护，合理设置坡角有利于保证钢轨轨头与车轮踏面的合理接触，延长钢轨的使用寿命。本文提出一种基于激光摄像技术，可在线、连续提取钢轨轮廓图像的轨底坡动态检测方法。考虑摄像机镜头畸变对钢轨轮廓图像的影响，建立了用于轨底坡动态检测的两个激光摄像式传感器空间姿态关系的非线性标定解算模型。利用kalman滤波算法的数据融合功能建立了对多传感器信号融合的状态空间模型，消除因车体振动对轨底坡计算结果的影响。最后选用GJ-2型轨道检测车进行实车试验，验证了轨底坡计算方法切实、可行，通过kalman滤波后的传感器数据能很好地对轨底坡坡角计算结果进行补偿。

Abstract

The dynamic detection of rail cants can efficiently guide the railway operation and maintenance.Reasonably setting rail cant angle is beneficial to ensure the reasonable contact between rail head and wheel tread, therefore increasing the rail service life.A method was proposed based on the laser camera technology, which can continually extract the contour of rail on line.Considering the influence of the camera lens distortion on the rail contour image, a nonlinear calibration resolver model for the spatial attitude relationship of two laser camera sensors was established.By using the data fusion function of the Kalman filtering algorithm, a state space model for the multi-sensor signal fusion was established to eliminate the effect of car body vibration on the calculating results of rail cants.At last, a GJ-4 type track inspection vehicle was taken to perform the real vehicle test and it is verified the rail cant calculation method proposed is feasible and practical.The sensor data after Kalman filtering can compensate the results of the rail cant angle calculation very well.

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熊仕勇1 陈春俊1 王锋2 夏银2. 基于激光摄像式传感器的轨底坡动态检测方法研究[J]. 振动与冲击, 2018, 37(18): 251-256

XIONG Shiyong1 CHEN Chunjun1 WANG Feng2 XIA Yin2. Dynamic detection method for rail cants based on laser camera transducers[J]. Journal of Vibration and Shock, 2018, 37(18): 251-256

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