基于AI技术的排水管道缺陷检测机器人设计与实现  

Design and implementation of a drainage pipeline defect detection robot based on AI technology

作　　者：慕宝宗 郑少峰 陈德旺 MU Baozong;ZHEN Shaofeng;CH Dewang(School of Transportation,Fujian University of Technology,Fuzhou 350118,China)

机构地区：[1]福建理工大学交通运输学院,福州350118

出　　处：《自动化与仪器仪表》2025年第1期273-276,共4页Automation & Instrumentation

基　　金：福建省科技厅引导性项目(2021H0025);福建省教育厅研究生教研项目(FBJG20220116)。

摘　　要：针对排水管道作业检查与缺陷检测问题,设计了一款管道缺陷检测机器人,包括机器人的机械结构、外观大小和驱动方式,保证其可以在管道中实现自由运动。机器人由硬件与软件两部分构成,硬件包括管道机器人与收线器的制作,通过信号线对机器人进行远程操控和数据交互。软件则包括视频传输与管道缺陷检测系统的设计,通过视频图像采集与YOLOv8网络模型共同工作实现对管道环境的探查。最后,通过测试验证管道机器人的性能,记录实验数据,为后期进一步设计奠定基础。This article designs a pipeline defect detection robot for the inspection and defect detection of drainage pipeline operations,including the mechanical structure,appearance size,and driving method of the robot,to ensure that it can achieve free movement in the pipeline.The robot consists of two parts:hardware and software.The hardware includes the production of pipeline robots and wire takers,and remote control and data exchange of the robot through signal lines.The software includes the design of video transmission and pipeline defect detection system,which works together with YOLOv8 network model to explore the pipeline environment through video image acquisition.Finally,the performance of the pipeline robot was verified through testing,and experimental data was recorded to lay the foundation for further design in the later stage.

关 键 词：机器人 嵌入式 结构设计 目标检测 YOLOv8 

分 类 号：TP312[自动化与计算机技术—计算机软件与理论]