Research and Application of Metro Train Bolt Loose Detection Based on 2D/3D Imaging

Yong WANG; Zhuosen DENG; Zhiyun WANG; Linqiao HU; Xiaoman LIU; Yuan SONG

doi:10.13890/j.issn.1000-128x.2021.06.021

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Research and Application of Metro Train Bolt Loose Detection Based on 2D/3D Imaging

Detection Technology | 更新时间：2022-01-18

- Research and Application of Metro Train Bolt Loose Detection Based on 2D/3D Imaging
- Electric Drive for Locomotives Vol. 0, Issue 6, Pages: 147-154(2021)
- 作者机构：
  
  1.广东广佛轨道交通有限公司，广东　佛山　528251
  2.广州轨道交通建设监理有限公司，广东　广州　510010
  3.广州运达智能科技有限公司，广东　广州　510445
- 作者简介：
- 基金信息：
- DOI：10.13890/j.issn.1000-128x.2021.06.021
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Yong WANG, Zhuosen DENG, Zhiyun WANG, et al. Research and Application of Metro Train Bolt Loose Detection Based on 2D/3D Imaging. [J]. Electric Drive for Locomotives 0(6):147-154(2021)
DOI：

Yong WANG, Zhuosen DENG, Zhiyun WANG, et al. Research and Application of Metro Train Bolt Loose Detection Based on 2D/3D Imaging. [J]. Electric Drive for Locomotives 0(6):147-154(2021) DOI： 10.13890/j.issn.1000-128x.2021.06.021.

摘要

在地铁列车智能运维领域，列车外观异常检测是必不可少的重要环节，从传统的人工巡检到采用线阵相机2D成像图像识别方法，均存在一定的缺陷，不能满足快速准确的智能巡检要求。基于2D成像的图像识别方法可以解决人工巡检速度慢和因疲劳导致漏检等问题，但在与成像平面垂直的第三维度上出现的异常问题还没有得到较好的解决。文章提出一种基于2D/3D成像的螺栓松动检测方法，避免了在2D成像过程中由于光照、水渍、灰尘等原因造成图像像素值变化过大对检测结果带来的影响，并能很好地应用于地铁列车异常检测。

Abstract

In the field of intelligent operation and maintenance of subway trains, the detection of abnormal appearance of trains is an indispensable important link. From traditional manual inspections to 2D imaging image recognition methods of line array cameras, there are certain defects, which are not enough to achieve fast and accurate intelligent inspections. The image recognition method based on 2D imaging can solve the problems of slow manual inspection and missed inspection caused by fatigue. However, the abnormal problems that occur in the third dimension perpendicular to the imaging plane have not been well resolved. A bolt looseness detection method based on 2D/3D imaging was proposed, which avoided the impact of excessive changes in image pixel values caused by light, water stains, gray layers, etc. on the detection results in 2D imaging, and can be applied to abnormal detection of subway trains very well.

关键词

地铁3D检测平面拟合区域生长松动计算

Keywords

subway3D detectionplane fittingarea growthloose calculation

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