Real-time filtering and application of landslide GNSS deformation data based on dynamic frequency conversion
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摘要:
GNSS变形监测设备是获取滑坡各向变形量及变形发展趋势的主要地面监测设备，由于监测过程中精度误差和偶然误差的存在，常常导致基于变形数据计算的滑坡变形速率出现明显的误差波动，造成实时监测预警的误报。文章针对现有典型GNSS变形监测数据的特点，分析了过滤数据总量与最大偏差量的三阶段关系，明确了GNSS数据过滤量可采用三阶段中缓慢降低阶段起点对应的40组数据进行，同时提出了采用数据缓冲过滤区配合动态变频监测技术实现偶然误差的及时剔除，最终基于最小二乘法和数据剔除方法实现GNSS变形数据的实时过滤，并通过两处典型边坡监测进行验证，为后续基于变形数据的滑坡实时分析预警提供技术参考。
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.
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