铁路纵断面线形参数变化量与垂向偏差模型研究
Research on Linear Parameter Variation and Vertical Deviation Model of Railway Vertical Alignment
基于惯性导航的轨道检测设备可获取亚毫米级垂向偏差,为纵断面优化提供基础。但传统方法依赖三维坐标拟合,外业需布设控制网,效率低;既有垂向偏差计算模型未建立变坡点参数与垂向偏差量的解析关系,难以由相对测量值反演竖曲线要素。针对该问题,提出直接利用垂向偏差的纵断面优化模型,采用偏微分推导了变坡点高程与里程对垂向偏差影响的定量关系,实现了仅凭轨检仪垂向偏差数据解算竖曲线参数。仿真试验表明,模型计算垂向偏差与理论值吻合,误差小于0.1mm,满足精度要求。该方法无需三维坐标,利用相对测量轨检小车完成优化,提高外业效率,解决了垂向偏差直接反演竖曲线参数的难题,为线路状态评估与优化提供理论依据。
The track detection equipment based on inertial navigation can obtain sub-millimeter vertical deviation, providing the basis for vertical section optimization. However, the traditional method relies on three-dimensional coordinate fitting, and the field requires the deployment of a control network, which is inefficient. The existing vertical deviation calculation model does not establish the analytical relationship between the slope point parameters and the vertical deviation, and it is difficult to invert the vertical curve elements from the relative measurement values. In order to solve this problem, this paper proposed a vertical section optimization model directly utilizing vertical deviation, and used partial differential analysis to derive the quantitative relationship between the elevation of the variable slope point and the mileage on the vertical deviation. The vertical curve parameters were resolved only by the vertical deviation data of the track inspection instrument. The simulation results show that the vertical deviation calculated by the model is consistent with the theoretical value, with an error of less than 0.1 mm, meeting the accuracy requirements. This method does not require three-dimensional coordinates, and utilizes the relative measurement track inspection trolley to complete the optimization, improve the field efficiency, and solve the problem of direct inversion of vertical curve parameters by vertical deviation. It provides a theoretical basis for line state evaluation and optimization.
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