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基于多源信息融合的矿山边坡滑坡灾害研究现状与展望

李荟 韩晓飞 朱万成 宋清蔚 周文龙

李荟,韩晓飞,朱万成,等. 基于多源信息融合的矿山边坡滑坡灾害研究现状与展望[J]. 工矿自动化,2024,50(6):6-15.  doi: 10.13272/j.issn.1671-251x.2024040064
引用本文: 李荟,韩晓飞,朱万成,等. 基于多源信息融合的矿山边坡滑坡灾害研究现状与展望[J]. 工矿自动化,2024,50(6):6-15.  doi: 10.13272/j.issn.1671-251x.2024040064
LI Hui, HAN Xiaofei, ZHU Wancheng, et al. Current status and prospects of research on landslide disasters in mine slopes based on multi-source information fusion[J]. Journal of Mine Automation,2024,50(6):6-15.  doi: 10.13272/j.issn.1671-251x.2024040064
Citation: LI Hui, HAN Xiaofei, ZHU Wancheng, et al. Current status and prospects of research on landslide disasters in mine slopes based on multi-source information fusion[J]. Journal of Mine Automation,2024,50(6):6-15.  doi: 10.13272/j.issn.1671-251x.2024040064

基于多源信息融合的矿山边坡滑坡灾害研究现状与展望

doi: 10.13272/j.issn.1671-251x.2024040064
基金项目: “十四五”国家重点研发计划项目(2022YFC2903903);国家自然科学基金青年基金项目(52304167);中央高校基本科研业务费专项项目(N2301020);辽宁省自然科学基金联合基金项目(2023-MSBA-122)。
详细信息
    作者简介:

    李荟(1990—),女,辽宁锦州人,副教授,博士,主要研究方向为矿山灾害智能防控,E-mail:lihui1@mail.neu.edu.cn

  • 中图分类号: TD824.7

Current status and prospects of research on landslide disasters in mine slopes based on multi-source information fusion

  • 摘要: 为克服单一信息源无法精确表征矿山滑坡灾害演化特征的问题,基于多源信息融合技术,从矿山边坡多源信息获取、矿山边坡多源信息融合、矿山边坡位移预测及滑坡风险评价3个方面概述了矿山边坡滑坡灾害研究进展。总结了典型的“天”“空”“地”边坡监测手段及“天−空−地”一体化协同监测方法;梳理了包含数据级、特征级和决策级融合的边坡多源信息融合流程;整理了位移与应力、位移与水文气象及其他不同类型的监测数据融合形式;阐述了基于多源信息融合的边坡位移预测及滑坡风险评价相关研究现状。基于当前矿山边坡滑坡灾害研究存在的灾害分析的准确性严重依赖监测数据质量、对岩石力学机理知识利用不足等问题,指出了矿山边坡滑坡灾害研究发展趋势:统一多源数据采集接入标准;开发监测数据与岩石力学机理融合的矿山边坡滑坡灾害分析方法;优化“天−空−地”多源信息的时空关联挖掘算法;加强基于多源信息融合的矿山边坡滑坡灾害预警平台建设。

     

  • 图  1  矿山边坡多源信息融合流程

    Figure  1.  Flow of multi-source information fusion for mine slope

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  • 收稿日期:  2024-04-19
  • 修回日期:  2024-06-25
  • 网络出版日期:  2024-07-04

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