中国安全科学学报 ›› 2020, Vol. 30 ›› Issue (5): 156-162.doi: 10.16265/j.cnki.issn1003-3033.2020.05.024

• 防灾减灾技术与工程 • 上一篇    下一篇

UAV航摄图像融合激光扫描边坡表面位移监测法

何君毅1, 张社荣1 教授, 王超1 副教授, 黄星2, 朱罗方2   

  1. 1.天津大学 水利工程仿真与国家安全重点实验室,天津 300350;
    2.中国水利水电第十四工程局有限公司,云南 昆明 650041
  • 收稿日期:2020-02-20 修回日期:2020-04-15 出版日期:2020-05-28 发布日期:2021-01-28
  • 作者简介:何君毅(1995—),男,贵州贵阳人,硕士研究生,研究方向为水利工程信息化及水工结构。E-mail:tjuhejunyi@foxmail.com。
  • 基金资助:
    国家重点研发计划项目(2018YFC0406905);国家自然科学基金创新研究群体科学基金资助(51621092)。

A monitoring method for slope surface displacement combining UAV photography and laser scanning

HE Junyi1, ZHANG Sherong1, WANG Chao1, HUANG Xing2, ZHU Luofang2   

  1. 1. State Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300350, China;
    2. Sinohydro Bureau 14. Corporation Limited, Kunming Yunnan 650041, China
  • Received:2020-02-20 Revised:2020-04-15 Online:2020-05-28 Published:2021-01-28

摘要: 为解决边坡表面位移监测的时效性问题,提出一种航摄图像融合三维激光扫描的边坡表面位移监测方法,通过无人机(UAV)航摄图像及三维激光扫描点云数据融合算法,提高边坡表面位移测量精度,实现监测点识别及边坡变形过程中表面位移的及时计算。研究结果表明:通过生成配准的高精度点云非接触式测量边坡位移,能够精确计算当前边坡的变形情况,绝对误差基本控制在±1 cm,与现有采用实时动态(RTK)测量的方式相比耗时缩短约27 min,监测效率得到提高。

关键词: 无人机(UAV)航摄, 三维激光扫描, 表面位移监测, 边坡安全, 点云配准

Abstract: In order to improve timeliness of slope surface displacement monitoring, an integrated monitoring method was proposed that combined UAV photography and 3D laser scanning data to improve monitoring accuracy and achieve timely identification of monitoring points and calculation of displacement during slope deformation. The results show that this method based on high-accuracy point cloud contactless measurement can accurately calculate slope deformation with an absolute error being controlled within 1 cm, and its time consumption is about 27 minutes shorter than currently used real time kinematic (RTK), thus improving monitoring efficiency.

Key words: unmanned aerial vehicle (UAV) photography, 3D laser scanning, surface displacement measurement, slope safety, point cloud registration

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