中国地质灾害与防治学报2025，Vol.36Issue(3)：76-83,8.DOI:10.16031/j.cnki.issn.1003-8035.202403010
基于动态变频的滑坡GNSS变形数据实时过滤及应用
Real-time filtering and application of landslide GNSS deformation data based on dynamic frequency conversion
摘要
Abstract
GNSS deformation monitoring devices are crucial ground monitoring tools for capturing multi-directional landslide deformations and their development trends.However,precision and random errors during monitoring often leads to significant fluctuations in computed deformation rates,leading to false alarms in real-time monitoring and warnings.This study addresses the characteristics of typical GNSS deformation monitoring data by analyzing the relationship across three stages between the total filtered data and maximum deviation.It establishes that the filtering of GNSS data should employ 40 data sets corresponding to the initial phase of the gradually decreasing stage.Furthermore,this paper proposes utilizing a data buffer filtering area combined with dynamic frequency monitoring techniques for the prompt elimination of incidental errors.Finally,based on the least squares method and data rejection techniques,the study achieves real-time filtering of GNSS deformation data,verified through monitoring at two typical slope sites.These methods provide a technical references for subsequent real-time landslide analysis and early warning of landslides based on deformation data.关键词
滑坡变形/滑坡监测/GNSS数据/过滤尺度/偏差剔除/动态变频Key words
landslide deformation/landslide monitoring/GNSS data/filtering scale/bias elimination/dynamic frequency conversion分类
地质学引用本文复制引用
亓星,曹汝亮,修德皓,周飞..基于动态变频的滑坡GNSS变形数据实时过滤及应用[J].中国地质灾害与防治学报,2025,36(3):76-83,8.基金项目
地质灾害防治与地质环境保护国家重点实验室开放基金项目(SKLGP2022K008) （SKLGP2022K008）
