动态优化权重的GNSS与水准融合地面形变监测方法及系统
By using a GNSS and leveling fusion method with dynamically optimized weights, the problem that static weighting strategies cannot adapt to fluctuations in observation data quality is solved. This method enables adaptive adjustment and robustness enhancement of observation weights, improves monitoring accuracy and reliability, and allows for timely detection of early-stage minor deformations in geological disasters.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- TIANJIN SURVEYING & MAPPING INST CO LTD
- Filing Date
- 2026-04-27
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies, the static weighting strategy in GNSS and leveling fusion monitoring methods cannot adapt to the dynamic fluctuations in the quality of observation data, resulting in suboptimal fusion results. Furthermore, it lacks robustness to gross errors in GNSS observations, reducing the accuracy and reliability of settlement parameters.
A dynamic weight optimization method is adopted, which adaptively adjusts the observation weights through global weight ratio optimization and local robustness optimization. Combined with a robust estimation function to process GNSS observations, the optimal weight matrix is constructed to ensure that the fusion model is always in the optimal or near-optimal state in a statistical sense.
It achieves objectification and adaptability of observation weights, enhances the robustness of the fusion model to gross errors and anomalous disturbances, significantly improves the accuracy and reliability of ground subsidence rate and elevation change, and can detect minute deformation characteristics in a timely manner.
Smart Images
Figure CN122113005B_ABST