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METHOD FOR LEAKAGE DETECTION OF UNDERGROUND PIPELINE CORRIDOR BASED ON DYNAMIC INFRARED THERMAL IMAGE PROCESSING

  • US 20190331301A1
  • Filed: 06/29/2019
  • Published: 10/31/2019
  • Est. Priority Date: 12/30/2016
  • Status: Active Grant
First Claim
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1. A method for leakage detection of underground pipeline corridor based on dynamic infrared thermal image processing, comprising:

  • a) establishing a crack development degree detection model, comprising;

    a1) collecting infrared thermal images of at least ten crack samples on pipe surface of the underground pipeline corridor;

    recording a sample ambient temperature and a crack development degree; and

    estimating and ranking the crack development degree into three developmental levels;

    1, 2, and 3;

    a2) processing the infrared thermal images, obtaining the reference temperature difference data between the crack samples and the pipe surface; and

    a3) based on the reference temperature difference data, the ambient temperature and the crack development degree, obtaining two classification functions with SVM classification;

    Δ

    T12=a12T+b12 and Δ

    T23=a23T+b23, wherein T is the ambient temperature, and Δ

    T is the reference temperature difference data;

    b) data collecting;

    collecting infrared thermal videos of the fracture zone of underground pipeline corridor, and recording the ambient temperature;

    c) data pre-processing;

    converting the infrared thermal videos into the infrared thermal images, along with image denoising and grayscale conversion of the collected infrared thermal images;

    d) data processing;

    processing denoised and grayscale infrared thermal images, including edge detection and image enhancement, edge extraction, impurity removal, and calculating measured temperature difference data;

    e) temperature difference data processing;

    comprising distortion degree judgment, first correction of the measured temperature difference data, and second correction of the measured temperature difference data; and

    f) leakage analysis;

    comprising calculating the reference temperature difference data, and determining leakage severity, and determining type of leakage.

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