研究目的: 轨检车检测数据的对比能够分析轨道设备维护质量及变化趋势,但在实际应用中,每次检测数据均存在不同程度的里程误差,生成的波形图无法自动校正对齐。本文介绍一种波峰校正技术,通过选取特征指标、筛选检测数据波峰波谷点集、剔除干扰数据、对齐计算几个步骤,完成检测数据的校正值计算,实现两次或多次检测数据的里程校正。将本方法编制成软件,与TQI分析、数据分析等模块集成,能够实现检测数据的多维度应用。
研究结论: (1)多次测试结果显示,经过波峰校正后,两次或多次检测数据的波形曲线整体拟合度有了较大的改善,该方法能够有效提高相对里程误差的校正精度;(2)该技术已通过软件设计与实现,应用于多条线路,经过现场应用验证,达到了预期效果。
Abstract
Research purposes: The comparison of the data of track inspection car can analyze the maintenance quality and change trend of track. However, in practical application, there are different degrees of mileage error in each data, and waveform of these detection data cannot be aligned. This paper proposes a peak alignment technology, which calculates and corrects the mileage error of two or more detection data by selecting characteristic index, filtering the peak and trough point sets, eliminating the interference data and aligning calculation. This method is developed into software and integrated with the TQI analysis, data analysis, which can realize multi-dimensional application of detection data.
Research conclusions: (1) Test results show that peak alignment can improve the fitting degree of two or more detection curves. This method can effectively improve the correction accuracy of relative mileage error. (2) This technology has been developed into software and applied to subway lines. After application verification, the expected effect has been achieved.
关键词
轨检车 /
里程误差 /
波峰校正 /
特征指标
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Key words
track inspection car /
mileage error /
peak alignment /
characteristic index
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中图分类号：
U231.92
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