基于O-K算法的边坡位移时空演化规律研究

Spatial Evolution Law of Slope Displacement Based on O-K Algorithm

传统的位移监测方案通常以对单一点位的监测数据为基础。在对测量结果的评估中,也只考虑单一点位的数据变化情况,而忽略各监测点间监测数据的空间效应。以南京地区某边坡的自动化位移监测数据为依托,通过引入普通克里金(O-K)空间插值技术,运用Matlab平台自主研发了边坡位移时空演化规律分析模块,实现了对目标边坡位移时空演化过程的分析。该模块可以将位移插值误差控制在5%范围之内,在部分监测数据缺失的情况下,解决了基于实测数据的边坡位移时空演化规律分析问题。

Traditional displacement monitoring process is usually based on point by point monitoring. In the assessment of monitoring results, only the impact of data changes at single measurement point is considered, while the spatial effect of multiple measurement points are usually ignored. Based on the automated displacement monitoring data of a typical slope in Nanjing, the slope displacement spatial-temporal evolution analysis module was developed independently by introducing the ordinary kriging(O-K) spatial interpolation technique. The module was compiled using Matlab platform to realize the analysis of the spatial-temporal evolution process of the target slope displacement data. The module can control the displacement interpolation error within 5%, and analyze the slope displacement spatial-temporal evolution law based on the actual measured data in the absence of partial monitoring data.