基于SIMM-UKF和电阻率成像技术的滑坡体形变预测算法研究

doi:10.12263/DZXB.20200391

电子学报 ›› 2021, Vol. 49 ›› Issue (2): 354-361.DOI: 10.12263/DZXB.20200391

基于SIMM-UKF和电阻率成像技术的滑坡体形变预测算法研究

徐哈宁^1,2, 肖慧^1,2, 邓居智²

1. 东华理工大学放射性地质与勘探技术国防重点学科实验室, 江西南昌 330013;
2. 东华理工大学地球物理与测控技术学院, 江西南昌 330013

收稿日期:2020-04-24 修回日期:2020-08-31 出版日期:2021-02-25 发布日期:2021-02-25
通讯作者: 肖慧
作者简介:徐哈宁 男,1979年11月出生,黑龙江哈尔滨人.东华理工大学副教授.主要研究方向为地质灾害监测技术和地球物理勘探仪器研发.E-mail:33007063@qq.com;邓居智 男,1972年12月出生,江西高安人.东华理工大学教授、博士生导师.主要研究方向为资源地球物理勘探和电磁法正反演.E-mail:jzhdeng@ecit.cn
基金资助:
江西省教育厅科学技术研究项目（No.GJJ150598）；江西省防震减灾与工程地质灾害探测工程研究中心基金（No.SDGD202005）；东华理工大学放射性地质与勘探技术国防重点学科实验室基金（No.RGET1908）

Research on Prediction Algorithm of Landslide Deformation Based on SIMM-UKF and Resistivity Imaging Technology

XU Ha-ning^1,2, XIAO Hui^1,2, DENG Ju-zhi²

1. Fundamental Science on Radioactive Geology and Exploration Technology Laboratory, East China University of Technology, Nanchang, Jiangxi 330013, China;
2. School of Geophysics and Measurement-Control Technology, East China University of Technology, Nanchang, Jiangxi 330013, China

Received:2020-04-24 Revised:2020-08-31 Online:2021-02-25 Published:2021-02-25

摘要/Abstract

摘要： 土体渗流场动态变化和其产生的深部位移是滑坡地质灾害的主要诱因.针对现有的深部位移监测技术无法在空间上完整描述和解释滑坡体变形过程的问题，提出一种基于简化交互多模型（Simplified Interactive Multiple Model，SIMM）和无迹卡尔曼滤波（Unscented Kalman Filter，UKF）的滑坡体内部结构成像预测技术.利用电法勘探具有快速、准确采集地下介质电性信息，并实现多维电阻率剖面成像的特点，依据地质条件，将不同勘探装置采集的电阻率模型作为输入.通过门限检测，判别滑移面周边电阻率值变化速度是否超过预警值，对各模型数据进行无迹卡尔曼滤波并交互输出.现场实验证明，该算法解决了电阻率采集装置间灵敏度匹配问题，实现了滑坡地质体内部结构快速、多维成像，提高了滑坡内部形变过程解释的有效性.

关键词: 滑坡监测, 电阻率法勘探, 交互多模型, 无迹卡尔曼滤波

Abstract: The dynamic change of soil seepage field and its deep displacement are the main inducements of landslide geological disasters.To solve the problem that the existing deep displacement monitoring technology can not describe and explain the deformation process of landslide in space,an imaging prediction technology of landslide internal structure based on simplified interactive multiple model (SIMM) and unscented kalman filter (UKF) is proposed.Electrical prospecting has the characteristics ofcollecting underground media information quickly and accurately,Furthermore,it can realize multi-dimensional resistivity profile imaging.Based on the above and geological conditions,resistivity models collected by different exploration devices are taken as input.The threshold detection is used to judge whether the change speed of the resistivity value around the slip surface exceeds the warning value,and the data of each model are processed by unscented Kalman filter and output interactively.Field experiments show that the algorithm solves the problem of sensitivity matching between resistivity acquisition devices,realizes fast and multi-dimensional imaging of the internal structure of landslide geological body,and improves the effectiveness of interpretation of landslide internal deformation process.

Key words: landslide geological hazard monitoring, resistivity exploration, interactive multi-model, unscented Kalman filter

中图分类号:

TP312

徐哈宁, 肖慧, 邓居智. 基于SIMM-UKF和电阻率成像技术的滑坡体形变预测算法研究[J]. 电子学报, 2021, 49(2): 354-361.

XU Ha-ning, XIAO Hui, DENG Ju-zhi. Research on Prediction Algorithm of Landslide Deformation Based on SIMM-UKF and Resistivity Imaging Technology[J]. Acta Electronica Sinica, 2021, 49(2): 354-361.

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基于SIMM-UKF和电阻率成像技术的滑坡体形变预测算法研究

Research on Prediction Algorithm of Landslide Deformation Based on SIMM-UKF and Resistivity Imaging Technology

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