METHOD FOR LEAKAGE DETECTION OF UNDERGROUND PIPELINE CORRIDOR BASED ON DYNAMIC INFRARED THERMAL IMAGE PROCESSING
First Claim
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.
1 Assignment
0 Petitions
Accused Products
Abstract
A method for leakage detection of underground pipeline corridor based on dynamic infrared thermal image processing. The leakage can be detected by the following steps, including: converting infrared thermal videos into infrared thermal images; obtaining the gray scale information and temperature information of internal environment of the underground pipeline corridor. The gray scale information can realize the conventional target of pipe line state identification inside the pipeline corridor, and the temperature information can be used to detect the pipe leakage.
-
Citations
10 Claims
-
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; andf) leakage analysis;
comprising calculating the reference temperature difference data, and determining leakage severity, and determining type of leakage. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
-
Specification