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A pipeline liquid leakage monitoring method based on image processing

An image processing and pipeline technology, applied in the field of image processing, can solve the problems of high computational complexity, increase the processing time of the video, and it is difficult to prevent the inaccuracy of the camera, so as to achieve high monitoring accuracy, reduce labor costs, and shorten the processing time. Effect

Active Publication Date: 2018-10-09
WUHAN UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

So it's hard to prevent inaccuracies due to minor camera shakes
"A video anomaly detection method based on machine learning" (CN 103763515A) patented technology, this technology has high precision and accuracy in identifying abnormal states, but it needs to learn abnormal videos and has high computational complexity degrees, increasing the time to process the video

Method used

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  • A pipeline liquid leakage monitoring method based on image processing
  • A pipeline liquid leakage monitoring method based on image processing
  • A pipeline liquid leakage monitoring method based on image processing

Examples

Experimental program
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Embodiment 1

[0039] A pipeline liquid leakage monitoring method based on image processing. The concrete steps of monitoring method described in the present embodiment are:

[0040] The first step is to intercept a frame of the color RGB image Y when the cabin pipeline does not leak from the video to be detected; use the grayscale image algorithm to perform grayscale transformation on the color RGB image Y when the pipeline does not leak, and obtain the following: figure 1 The grayscale image y when the shown pipeline does not leak; the grayscale image algorithm is:

[0041] Gray=R×0.299+G×0.587+B×0.114 (1)

[0042] In formula (1): R represents the red component of color RGB picture;

[0043] G represents the green component of the color RGB image;

[0044] B represents the blue component of a color RGB image.

[0045] Second step, starting from the first frame of RGB color image in the video to be detected, get every 100 frames of RGB color image as a video segment to be detected, and ...

Embodiment 2

[0059] A pipeline liquid leakage monitoring method based on image processing. The concrete steps of the monitoring method described in the present embodiment are:

[0060] The first step is to intercept a frame of the color RGB image Y when the cabin pipeline does not leak from the video to be detected; use the grayscale image algorithm to perform grayscale transformation on the color RGB image Y when the pipeline does not leak, and obtain the following: Figure 4 The grayscale image y when the shown pipeline does not leak; the grayscale image algorithm is:

[0061] Gray=R×0.299+G×0.587+B×0.114 (1)

[0062] In formula (1): R represents the red component of color RGB picture;

[0063] G represents the green component of the color RGB image;

[0064] B represents the blue component of a color RGB image.

[0065] Second step, starting from the first frame of RGB color image in the video to be detected, get every 300 frames of RGB color image as a video segment to be detected,...

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Abstract

The invention relates to a pipeline liquid leakage monitoring method based on image processing. The technical solution is: intercept a frame of color RGB image Y when the pipeline does not leak from the video to be detected, and perform grayscale transformation to obtain the grayscale image y when the pipeline does not leak. Starting from the first frame of RGB color image in the video to be detected, every L frame of RGB color image is a video segment to be detected, and one frame is taken from every n frames in the video segment to be detected as the image to be detected. Convert all the images to be detected into grayscale images to obtain a set of grayscale images to be detected Q1, de-shake each image and take the average value, and then perform binarization processing. If the sum of all pixel values ​​in the binarized image Z is less than the set warning threshold K, there is no pipeline liquid leakage in the video segment to be tested; otherwise, pipeline liquid leakage occurs. The invention has the characteristics of high precision, low complexity, short processing process and online real-time monitoring.

Description

technical field [0001] The invention belongs to the technical field of image processing. In particular, it relates to a pipeline liquid leakage monitoring method based on image processing. Background technique [0002] In recent years, pipeline transportation has become the first choice for petroleum and other liquid transportation due to its advantages of smooth continuity, good safety, large transportation volume, easy quality assurance, less material loss, less land occupation and low freight costs. However, the aging of the transportation pipeline due to the adverse external environment and the long service life of the pipeline will cause cracks in the pipeline, which will lead to the leakage of the liquid transported in the pipeline, which will cause major economic losses and affect the surrounding natural environment. [0003] With the improvement of camera shooting accuracy, the captured images and videos can contain more detailed information. Use the captured high-...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): F17D5/02G06K9/00
CPCF17D5/02G06V20/40
Inventor 柴利郭诗尧盛玉霞
Owner WUHAN UNIV OF SCI & TECH