车体振动对接触网检测的影响分析及补偿方法研究

Research on Influence of Vehicle Vibration on Catenary Detection and Compensation Method

将机器视觉技术应用于轨道交通接触网检测车车体振动补偿,基于激光摄像传感器搭建了接触网检测车补偿装置,分析了多自由度车体振动之间的相互耦合关系及车体振动对检测数据的影响,推导了基于机器视觉的接触网检测车车体振动补偿计算公式,并将该补偿方法应用于接触网检测车。在郑徐客运专线进行试验,补偿后拉出值检测数据相较于补偿前,重复性误差均值减小了7.35 mm,补偿前后拉出值检测数据比照人工测量数据,补偿后比补偿前测量误差均值减小了8.80 mm,以及在杭州地铁2号线进行了检测数据与人工测量数据对比试验,补偿后比补偿前测量误差减小了10.25 mm。两项试验验证了该补偿方法对于提高接触网检测精度的有效性。

Computer vision technology was used to compensate the vibration of catenary geometric parameter detection vehicle. Based on the laser camera sensor, the compensation device of the catenary detection vehicle was built. Through analysis on the mutual coupling relations of vehicle vibration with multiple freedom and the influence of vehicle vibration on the detection data, the formula to calculate vehicle body vibration displacement compensations was deduced on the basis of the computer vision technology. The compensation method was applied to the catenary geometric parameter detection vehicle. The results of the experiments carried out on the Zhengzhou-xuzhou high-speed railway indicate that, after compensation, the mean value of the repeated error is reduced 7.35 mm compared with that before compensation. The measurement error compared with manual measurement data is reduced 8.80 mm after compensation for the detection data. A further comparison test between the measurement data and manual measurement data conducted in Hangzhou Metro Line 2 shows that the measurement error is reduced 10.25 mm after compensation for the detection data. The validity of the compensation method for the improvement of the detection accuracy of the catenary system was verified by the two experiments.