滑坡监测无人机测绘轨迹调度与自主控制

J. Robotics Pub Date : 2022-03-24 DOI:10.1155/2022/2365006
Shifang Liao, Manzhu Ye, Rongcai Yuan, Wanzhi Ma
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引用次数: 1

摘要

地质灾害的实时、高效监测在无人机测绘控制技术的应用中受到广泛关注。传统滑坡监测方法的应用缺乏控制算法的准确性,已成为当前面临的热点问题。基于滑坡地表沉降监测方法,设计了无人机轨迹调度沉降监测软件,能够实时监测无人机的飞行状态和导航信息,并绘制飞行轨迹。同时,该模型解决了滑坡检查管理系统对滑坡检查结果的存储和管理问题,实现了滑坡信息的录入和查询、检查结果的查看、滑坡安全判断、生成报告、自主控制等功能。仿真结果表明,全局精度达到0.975,算法识别度达到99.8%,提高了滑坡监测数据对测绘轨迹识别的可靠性,为滑坡治理提供了决策依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unmanned Aerial Vehicle Surveying and Mapping Trajectory Scheduling and Autonomous Control for Landslide Monitoring
Real-time and efficient monitoring of geological disasters has received extensive attention in the application of UAV surveying and mapping control technology. The application of traditional landslide monitoring methods lacks the accuracy of control algorithms, which has become a hot issue currently facing. Based on the landslide surface subsidence monitoring method, this article designs the UAV trajectory scheduling subsidence monitoring software, which can monitor the UAV’s flight status and navigation information, and draw the flight trajectory in real time. At the same time, the model solves the problem of storage and management of landslide inspection results by the landslide inspection management system, and realizes the functions of entering and querying landslide information, viewing inspection results, landslide safety judgment, generating reports, and autonomous control. The simulation results show that the global accuracy reaches 0.975, and the algorithm recognition degree reaches 99.8%, which promotes the reliability of the landslide monitoring data for the identification of the surveying and mapping trajectory, and provides a decision-making basis for landslide treatment.
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