基于5G+无人机的地灾巡检数字孪生系统研究
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尹莉莉(1989—),女,河南周口人,硕士,工程师,主要从事地理信息数据挖掘与分析、遥感应用服务等方面的研究工作。E-mail:Y_lili1011@163.com

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TV737;V279

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Research on digital twin system of geological disaster inspection based on 5G + UAV
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    摘要:

    目前,水电站地质灾害巡检排查以人工为主,存在巡检效率较低、准确率不高、危险系数大等问题,数字化、 智能化、精准化是提升地灾巡检效率的迫切手段。因此提出一种地灾智能巡检模式,构建地灾巡检数字孪生系统框架,采用无人机和 5G 技术作为巡检工具和传输渠道,借助数字孪生技术创造虚拟水电站环境,实时动态规划巡检路径、智能化识别潜在问题及提前预测预警,实现在无人机视角下的室内地灾虚拟巡检,从智能巡检规划、实时信息获取、动态变化分析、远程监控和会商等方面提出应用模式,有效解决真实场景远距离、可达性差的巡检弊端。 以双江口水电站为例建立基于 5G +无人机的地灾巡检数字孪生系统,有效解决双江口水电站罕见地灾排查的难题,提升巡检的智能化程度。

    Abstract:

    Currently,the geological disaster inspection and investigation of hydropower stations is mainly manual, leading to problems such as low inspection effi ciency,low accuracy and high risk. Digitalization,intelligence and precision are urgent needs to improve the effi ciency of geological disaster inspection. In this paper,an intelligent inspection mode of geological disaster is proposed,and a digital twin system framework of geological disaster inspection is developed. UAV and 5G technology are applied as inspection tools and transmission channels. With digital twin technology,a virtual hydropower station environment is created with functions of real-time dynamic planning of inspection path,intelligent identifi cation of potential problems,as well as prediction and early warning. The virtual inspection of indoor geological disaster from the perspective of UAV is realized. The application mode is put forward from the aspects of intelligent inspection planning,real-time information acquisition,dynamic change analysis and remote monitoring consultation,which can eff ectively solve the disadvantages of long distance and poor accessibility of real scene. Finally,taking Shuangjiangkou Hydropower Station as a study case,a digital twin system for geological disaster inspection based on “5G + UAV” is established,which effectively solves the problem of rare geological disaster investigation in Shuangjiangkou Hydropower Station and improves the intelligence of inspection.

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尹莉莉,王成,赖丽萍,等.基于5G+无人机的地灾巡检数字孪生系统研究[J].水利信息化,2023(3):8-13.

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  • 收稿日期:2023-02-19
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  • 在线发布日期: 2023-06-28
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