Laser & Optoelectronics Progress, Volume. 60, Issue 6, 0611008(2023)

Damage Detection of Pipeline Insulation Layer Based on Line Structured Light and YOLOv5

Zihan Wang, Guotian Yang*, Tianxiang Lan, and Yaqi Li
Author Affiliations
  • School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
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    Figures & Tables(15)
    Orbital robot with a laser transmitter and a camera
    Influence of stitching position on imaging perspective. (a) Pixels in the rightmost column of each frame are stitching; (b) pixels in the middle column of each frame are stitching
    RGB long image generated by a video
    Ranging principle. (a) Principle of structured light ranging; (b) optical imaging path
    Depth map
    Extraction for the laser center line by the adaptive threshold method after pre-segmenting the laser domain. (a) Original image; (b) laser domain pre-segmenting; (c) adaptive threshold method extraction
    Adaptive threshold method
    Extraction results of laser center line. (a) Original image; (b) thresholding method; (c) extreme method; (d) proposed method
    Improved YOLOv5 network structure
    RGB-D map generated from a video
    Contrast images at low brightness
    Examples of damages on thermal insulation layer. (a) Hole; (b) crack; (c) rockfall
    Damage detection result
    • Table 1. Device parameter configuration

      View table

      Table 1. Device parameter configuration

      ParameterValueParameterValue
      α /(°)84v /(m·s-10.1
      npx1920F /(frame·s-150
      nv1080d /mm90
      f /mm18L/m0.7
    • Table 2. Comparison of indicators of various models

      View table

      Table 2. Comparison of indicators of various models

      MethodDataset typeAP /%mAP /%Detected time per frame /ms
      BulgeDent
      YOLOv5RGB80.182.381.24.4
      Fast-RCNNRGB80.581.881.28.7
      YOLOv5RGB-D83.083.583.34.6
      YOLOv3+midFRGB-D83.284.683.99.0
      YOLOv5+midF(Ours)RGB-D84.585.785.16.2
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    Zihan Wang, Guotian Yang, Tianxiang Lan, Yaqi Li. Damage Detection of Pipeline Insulation Layer Based on Line Structured Light and YOLOv5[J]. Laser & Optoelectronics Progress, 2023, 60(6): 0611008

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    Paper Information

    Category: Imaging Systems

    Received: Aug. 19, 2022

    Accepted: Dec. 12, 2022

    Published Online: Mar. 16, 2023

    The Author Email: Guotian Yang (ygt@ncepu.edu.cn)

    DOI:10.3788/LOP222346

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