机载LiDAR技术在堤防隐患智能巡查中的应用实践

大坝与安全 ›› 2025 ›› Issue (5): 75-.

机载LiDAR技术在堤防隐患智能巡查中的应用实践

周柏兵^1，2，郭庆鑫³，李家群²，纪柏雨³

1.南京水利科学研究院，江苏南京，210029；2.水利部南京水利水文自动化研究所，江苏南京，210012；3.江苏南水科技有限公司，江苏南京，210012

收稿日期:2025-07-30 出版日期:2025-10-30 发布日期:2026-01-31
作者简介:周柏兵（1981—），男，四川南充人，博士，正高级工程师，研究方向为岩土工程安全监测和光纤传感技术。
基金资助:
防汛抢险急需技术装备揭榜攻关项目（YJ⁃ZA0821002）

Application of airborne LiDAR technology in intelligent detection of embankment defects

ZHOU Baibing, GUO Qingxin, LI Jiaqun and JI Boyu

Nanjing Hydraulic Research Institute

Received:2025-07-30 Online:2025-10-30 Published:2026-01-31

摘要/Abstract

摘要：

相较于传统方法，机载激光雷达技术凭借其非接触测量特性，在堤防隐患巡查中展现出显著的灵活性、时效性及环境适应性优势。笔者详细阐述了基于无人机平台搭载激光雷达系统，针对人工模拟堤防隐患开展巡查探测的试验过程。试验结果表明，该方法可有效识别隐患目标，验证了其技术可行性。本次试验积累了宝贵的应用经验，为堤防隐患巡查技术的研究与应用提供了技术参考和实践依据。

关键词:

激光雷达, 无人机, 堤防隐患, 隐患探测, 三维建模

Abstract:

Compared to traditional methods, airborne LiDAR technology, with the characteristics of non-contact measurement, has demonstrated significant advantages in flexibility, timeliness, and environmental adaptability in detection of embankment defects. This article elaborates on the experimental process of patrol and detection of artificial simulated embankment defects by using unmanned aerial vehicle platforms equipped with laser radar systems. The experimental results show that this method can effectively identify hidden defects, which has verified its technical feasibility. Through this experiment, valuable application experience has been accumulated to provide technical reference and practical basis for research and application of embankment defects detection technology.

Key words:

LiDAR, UAV, hidden defects in embankments, defect detection, 3D modeling

中图分类号:

TV871

周柏兵, 郭庆鑫, 李家群, 纪柏雨.

机载LiDAR技术在堤防隐患智能巡查中的应用实践

[J]. 大坝与安全, 2025, 0(5): 75-.

ZHOU Baibing, GUO Qingxin, LI Jiaqun and JI Boyu.

Application of airborne LiDAR technology in intelligent detection of embankment defects

[J]. Dam & Safety, 2025, 0(5): 75-.

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