欢迎访问机床与液压官方网站!

咨询热线:020-32385312 32385313 RSS EMAIL-ALERT
基于视觉扫描生成巡检任务的机器人巡检方法
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:


Robot Inspection Method Based on Visual Scanning to Generate Inspection Tasks
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    目前工业场景巡检机器人的巡检点设置是人员手动设置的。考虑到现场环境复杂,通常巡检点的数量庞大,设置任务耗费大量人力和时间,且一旦巡检点的设备改变,还得人工增加或删除巡检点,提出基于自动视觉扫描生成巡检任务的机器人巡检方法,利用机器人扫描环境的视频流,将所有图片送入到YOLOv4目标检测网络进行解析和筛选,并运用SIFT匹配方式去掉重复目标,可以自动生成复杂现场设备的巡检点。在隧道电缆的机器人巡检项目中应用此方法,相比于人工设置方式,提高效率90%以上。

    Abstract:

    At present,the patrol point setting for industrial scene patrol robots is manual setting of personnel.Considering that the number of patrol points is usually large in the complex environment of the site,setting tasks consumes a lot of manpower and time,and once the equipment of the patrol points changes,manually adding or deleting patrol points is needed,a robot patrol method based on automatic visual scanning to generate patrol tasks was proposed .Using the video stream of the robot scanning environment,all pictures were sent to YOLOv4 target detection network for analysis and screening,and the SIFT matching method was used to remove duplicate targets,then patrol points could automatically generated for complex field equipment.This method was applied in the robot patrol projects of tunnel cable.Compared with manual setting mode,it can improve the efficiency over 90%.

    参考文献
    相似文献
    引证文献
引用本文

孟浩,安福旺,吉力特.基于视觉扫描生成巡检任务的机器人巡检方法[J].机床与液压,2024,52(3):67-71.
MENG Hao, AN Fuwang, JI Lite. Robot Inspection Method Based on Visual Scanning to Generate Inspection Tasks[J]. Machine Tool & Hydraulics,2024,52(3):67-71

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2024-02-29
  • 出版日期: 2024-02-15