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【目的】为迅速识别坡体突然加速变形至破坏时的变形信息，提高监测系统的响应能力，提出了一种将惯性测量数据与GNSS监测位移在水库岸坡变形监测中进行融合的方法。【方法】在岸坡表面布设惯性传感器和GNSS观测点，首先通过用惯性测量数据解算监测点的变形速度和位移，由GNSS观测值定期校准的方式，建立数据融合流程。然后通过模拟圆弧形滑坡从等速至加速变形的过程，将仿真数据代入融合模型论证。在此基础上，将融合方法应用于水库岸坡的位移监测实例中加以分析。【结果】结果显示：惯性测量融合GNSS的方法在坡体突然加速变形时可快速识别变形信息；GNSS观测值在岸坡缓慢变形期间可对竖向、水平方向的速度和位移进行校准。【结论】结果表明，此方法能对坡体上监测点在加速变形时的速度和位移进行及时追踪，并可为岸坡稳定性的评价及监测提供多源数据，后续可开展室内试验实现融合模型的全面评估。
Abstract：[Objective]Rapid identification of an acceleration of slope deformation is crucial to improve the response capability of a disaster monitoring system. This paper proposes a method to integrate inertial measurement data and GNSS data in reservoir bank slope deformation monitoring.[Methods]Firstly, we deployed inertial sensors and GNSS observation points on the surface of the bank slope, and established the data fusion process by means of calculating the velocity and displacement by inertial measurements with periodic calibration by GNSS values. Secondly, we demonstrated the data fusion process with a simulated arc-shaped slope that was accelerating to deform. Furthermore, we applied the data fusion model into the deformation monitoring of a reservoir bank slope.[Results]The result showed that the fusion data can rapidly identify the accelerated slope deformation, and the GNSS could periodically calibrate vertical and horizontal displacements of the bank slope during the initial deformation stage.[Conclusion]This method can track real-time displacements of the monitoring points deployed on the slope during its fast deformation stage, and can provide multi-source data for the evaluation of slope stability and deformation monitoring of the bank slope. The data fusion model requires a further evaluation based on rapid deformation in future indoor experiments.
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基本信息:
DOI：10.13928/j.cnki.wrahe.2023.11.015
中图分类号:TV698.11
引用信息:
[1]李程,宋胜武.惯性测量融合GNSS监测水库岸坡变形初探[J].水利水电技术(中英文),2023,54(11):170-180.DOI:10.13928/j.cnki.wrahe.2023.11.015.
基金信息:
河北省自然科学基金青年基金资助项目(D2020210005); 河北省人社厅留学回国人员资助项目(C20190512); 国家重点研发计划项目子课题(2021YFB2301203-3)
2023-02-20
2023
2023-10-16
2023
1
2023-05-15
2023-05-15
2023-05-15