[1]方卫华,杨浩东,谢双双,等.面向堤坝监测的无人机自动巡检系统设计[J].江苏水利,2024,(02):1-4.
 FANG Weihua,YANG Haodong,XIE Shuangshuang,et al.Design of UAV automatic inspection system for dam monitoring[J].JIANGSU WATER RESOURCES,2024,(02):1-4.
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面向堤坝监测的无人机自动巡检系统设计()
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《江苏水利》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2024年02期
页码:
1-4
栏目:
水利信息化
出版日期:
2024-02-15

文章信息/Info

Title:
Design of UAV automatic inspection system for dam monitoring
文章编号:
1007-7839(2024)02-0001-0004
作者:
方卫华1杨浩东1谢双双2李嘉琦2刘云平2
(1. 水利部南京水利水文自动化研究所,江苏 南京 210012;2. 南京信息工程大学 自动化学院,江苏 南京 210044)
Author(s):
FANG Weihua1 YANG Haodong1 XIE Shuangshuang2 LI Jiaqi2 LIU Yunping2
(1. Nanjing Automation Institute of Water Conservancy and Hydrology, Ministry of Water Resources, Nanjing 210012, China;2. School of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China)
关键词:
自动巡检无人机牛耕法yolov5MAD红外图像
Keywords:
automatic inspection UAV Boustrophedon method yolov5 MAD infrared images
分类号:
TV689.237
文献标志码:
A
摘要:
针对人工巡检监测堤坝费时费力,存在安全风险,还可能会造成堤坝损害等问题,设计一种无人机大坝自动巡检系统:首先对搜索区域进行建模,采用基于栅格的技术,为每架无人机划分待搜索区域,然后采用牛耕法对区域进行全覆盖搜索;通过改进的yolov5算法对裂缝图像进行快速识别,利用MAD中值滤波和广义形态学滤波对红外图像进行预处理,实现了对堤坝渗漏区域的快速准确识别。
Abstract:
Aiming at the problems of manual inspection and monitoring, such as time-consuming and labor-intensive, security risk and damage to the dam, an automatic inspection system of UAV dam is designed. Firstly, model the search area and use grid based technology to divide the search area for each drone. Then, use the Boustrophedon method to conduct a full coverage search of the area. Through the improved yolov5 algorithm, crack images were quickly identified, and infrared images were preprocessed using MAD median filtering and generalized morphological filtering, achieving fast and accurate identification of dam leakage areas.

参考文献/References:

[1] 王长生,马福恒,何心望,等. 基于物联网的燕山水库大坝智能巡检系统[J]. 水利水运工程学报,2014(2):48-53.
[2] 张行,李伟,武倩平,等. 新型带式输送机巡检机构系统设计[J]. 制造业自动化,2015,37(6):4.
[3] 缪希仁,刘志颖,鄢齐晨. 无人机输电线路智能巡检技术综述[J]. 福州大学学报(自然科学版),2020,48(2):198-209.
[4] 基于无人机载红外-可见双光成像的土石堤坝渗漏巡查方法[J]. 河海大学学报(自然科学版),2023,51(3):154-161.

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备注/Memo

备注/Memo:
收稿日期:2023-09-23
基金项目:江苏省水利科技项目(2021073)
作者简介:方卫华(1972—),男,教授级高级工程师,博士,主要从事水库督查工作。E-mail:fangweihua@nsy.com.cn
更新日期/Last Update: 2024-02-15