长昆客运专线铁路路堑边坡监测数据预处理方法

长昆客运专线长沙至玉屏段DK314+501~DK316+800为岩溶地段深路堑边坡,线路以挖方通过山包腰部,地形起伏较大,浅层黏土为弱膨胀性。边坡位移监测数据存在明显的跳跃性、突变性特点,难以直接应用于路堑边坡变形发展趋势预测和稳定状态评估。为提高路堑边坡监测数据分析处理水平,挖掘现场监测数据的应用价值,研究路堑边坡监测数据的预处理方法,开展监测数据的等时距插值、平移还原、异常点剔除还原及平滑降噪方法研究,并进行长昆客运专线路堑边坡监测数据的拟合和位移发展趋势预测。平滑降噪后的等时距序列采用高次函数多项式拟合,能够满足短期预测要求,但中长期预测效果较差,拟合数据范围需实时更新,该研究成果为铁路工程路堑边坡自动监测数据的预处理方法提供参考和借鉴。

Cutting Slop Monitoring Data Preprocessing Method of Changsha-Kunming Dedicated Passenger Railway Line

The section of DK314 + 501 ~ DK316 + 800 is a deep cutting slope in Karst Area,which is located between Changsha and Yuping on Changsha-Kunming dedicated passenger line. The main line passes through the undulate terrain with shallow layer clay of weak expansive property. The slope monitoring data obtained are of obvious jumping and mutation,and could hardly be used in slop deformation prediction and slope safety assessment. In order to improve slope monitoring data analysis and application, data preprocessing methods are studied systematically and the methods of interpolation, translation, elimination andsmoothing are proposed. Finally,slope monitoring data fitting and displacement prediction are also carried out based on Changsha-Kunming dedicated passenger line. The smoothed and noise-reduced data series of equal time interval are fitted with high order polynomial function,which meets the requirement for short-term forecasting,but insufficient for medium or long term prediction,and the original fitting data should be updated in real-time. The research results could be applied in the automatic monitoring data preprocessing of cutting slop during railway engineering.