|本期目录/Table of Contents|

[1]任义,于正兴,张亦海,等.S-SAR型边坡雷达监测数据去噪及滑坡预报研究*[J].中国安全生产科学技术,2025,21(5):111-116.[doi:10.11731/j.issn.1673-193x.2025.05.014]
　REN Yi,YU Zhengxing,ZHANG Yihai,et al.Study on monitoring data denoising and landslide prediction of S-SAR slope radar[J].Journal of Safety Science and Technology,2025,21(5):111-116.[doi:10.11731/j.issn.1673-193x.2025.05.014]
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S-SAR型边坡雷达监测数据去噪及滑坡预报研究*()

《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
21
期数:
2025年5期
页码:
111-116
栏目:
职业安全卫生管理与技术
出版日期:
2025-05-30

文章信息/Info

Title:
Study on monitoring data denoising and landslide prediction of S-SAR slope radar
文章编号:
1673-193X(2025)-05-0111-06
作者:
任义; 于正兴; 张亦海; 马海涛
（1.中安国泰(北京)科技发展有限公司，北京 100083；
2.中国安全生产科学研究院，北京 100012)
Author(s):
REN Yi;  YU Zhengxing;  ZHANG Yihai;  MA Haitao
(1.Cathay Safety Technology Co.,Ltd.,Beijing 100083,China;
2.China Academy of Safety Science and Technology,Beijing 100012,China)
关键词:
边坡雷达; 滑坡预报; 速度倒数法; 平滑处理
Keywords:
slope radar;  landslide prediction;  inverse velocity method;  data smoothing
分类号:
X936
DOI:
10.11731/j.issn.1673-193x.2025.05.014
文献标志码:
A
摘要:
为提高滑坡时间预报的准确性，基于S-SAR型边坡雷达监测数据的特征，提出1种数据多次平滑处理的方法，并将该方法应用于国外某露天矿边坡雷达监测数据的滑坡预报研究中。研究结果表明：使用原始监测数据进行速度倒数法的滑坡时间预报，误差高达7 h；数据平滑处理后，滑坡预报时间误差降低至1 h以内，较大幅度提高了滑坡预报的准确性，且基于不同加速点位获得的滑坡预报时间误差能够全部保持在5 h以内。研究结果可为滑坡灾害的防控提供参考。
Abstract:
In order to improve the accuracy of landslide time prediction,based on the characteristics of monitoring data by S-SAR slope radar,a method for the multiple smoothing processing of data was proposed,and it was applied to the landslide prediction research on the slope radar monitoring data in an open-pit mine at abroad.The results show that the landslide time prediction using the inverse velocity method based on raw monitoring data has an error of up to 7 hours.After the smoothing processing of data,the time error of landslide prediction is reduced to within 1 hour,significantly improving the accuracy of landslide prediction.Moreover,the time error of landslide prediction obtained based on different acceleration points can all be maintained within 5 hours.The research results can provide reference for the prevention and control of landslide disasters.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期： 2025-01-14
* 基金项目： 应急管理部重点科技计划2024年度项目（2024EMST080802）
作者简介： 任义，博士，助理研究员，主要研究方向为滑坡预报、岩石力学与地震监测/声发射研究。
通信作者： 马海涛，博士，正高级工程师，主要研究方向为露天矿山边坡滑坡预警预报。
更新日期/Last Update: 2025-05-26