基于CEEMDAN去噪的边坡监测与温度相关性分析

Slope Monitoring and Control Based on CEEMDAN Denoising Temperature Dependence Analysis

GNSS变形监测是监测边坡稳定性的重要手段,在铁路运行保障中有着十分重要的作用。边坡位移数据受各类气候条件的复杂作用,尤其是温度变化所引起的边坡膨胀收缩。为分析边坡位移与温度之间相关性,本文首先利用完全自适应噪声集合经验模态分解(Complementary Ensemble Empirical Mode Decomposition with Adaptive Noise,CEEMDAN)算法对原始边坡位移序列进行去噪,经多次滤波去除高频噪声信号得到反映真实变形的边坡位移信息。随后利用动态时间规划(Dynamic Time Warping,DTW)算法分析温度对边坡位移的影响滞后现象,并对温度数据进行滞后矫正和皮尔逊系数分析,获取温度与边坡位移之间的相关性。本文基于西宁隧道口某边坡2024年2月GNSS监测数据,分析边坡位移与温度变化之间的关系,结果表明,边坡位移与温度之间存在明显的滞后现象,滞后长度约为6天,滞后矫正后的温度与边坡位移之间相关系数约为0.7,呈现强相关性,该分析结果为后续的边坡稳定性分析提供了理论基础。

GNSS deformation monitoring is an important means of monitoring slope stability and plays a very important role in railway operation assurance.Slope displacement data are complicated by various climatic conditions,especially the expansion and contraction of slopes caused by temperature changes.In order to analyze the correlation between slope displacement and temperature,this paper uses firstly the Complementary Ensemble Empirical Mode Decomposition with Adaptive Noise(CEEMDAN)algorithm to denoise the original slope displacement sequence.Filtering removes high-frequency noise signals to obtain slope displacement information that reflects the true deformation.Then the Dynamic Time Warping(DTW)algorithm was used to analyze the hysteresis phenomenon of temperature's influence on slope displacement,and the temperature data was subjected to lag correction and Pearson coefficient analysis to obtain the correlation between temperature and slope displacement.This article analyzes the relationship between slope displacement and temperature changes based on February 2024 GNSS monitoring data of a slope at the Xining tunnel entrance.The results show that there is an obvious lag phenomenon between slope displacement and temperature,and the lag length is about 6 days.,the correlation coefficient between the temperature and the slope after lag correction is about 0.7,and the displacement shows a strong correlation.This analysis result provides a theoretical basis for subsequent slope stability analysis.