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A Thermal Image Defect Detection Method for Pressurized Vessels Based on Row and Column Variable Step Length Segmentation

A defect detection and variable step size technology, applied in the field of defect detection, can solve problems such as low efficiency, long cycle time, and poor safety

Active Publication Date: 2019-08-20
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

It does not damage the body, is fast and efficient, and can effectively solve the problems of traditional nondestructive testing methods such as high labor intensity, long cycle, low efficiency, and poor safety, and realize large-area rapid detection and save a lot of manpower and material resources.

Method used

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  • A Thermal Image Defect Detection Method for Pressurized Vessels Based on Row and Column Variable Step Length Segmentation
  • A Thermal Image Defect Detection Method for Pressurized Vessels Based on Row and Column Variable Step Length Segmentation
  • A Thermal Image Defect Detection Method for Pressurized Vessels Based on Row and Column Variable Step Length Segmentation

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Embodiment

[0071] figure 1 It is a flow chart of a thermal image defect detection method for a pressure vessel based on row-column variable step-length segmentation in the present invention.

[0072] In this embodiment, the present invention provides a thermal image defect detection method for pressure vessels based on row-column variable step-length segmentation, including the following steps:

[0073] S1. The eddy current pulse thermal image is represented by a three-dimensional matrix S, wherein S(i, j,:) represents the i-th row and the j-th column of the three-dimensional matrix S, and the third dimension represents time;

[0074] S2, select the point S(I) with the maximum pixel value from the three-dimensional matrix S zz ,J zz , T zz ), among them, I zz 、J zz and T zz Respectively represent the row corresponding value, column corresponding value and time corresponding value of the maximum pixel value point;

[0075] S3. Set K temperature thresholds T(m) from large to small, ...

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Abstract

The invention discloses a thermal image defect detection method of a pressurized vessel based on row-column variable-step-length division. The maximum pixel value point is selected from the eddy current pulse thermal image, and the correlation coefficient is calculated by using the Pearson correlation coefficient method according to the maximum pixel value point. , and then get the transformation step size, and then combine the transformation step size to calculate the transient thermal response of each pixel, and perform classification processing, and then use the membership degree maximization criterion to defuzzify all pixels, and obtain the category to which each pixel belongs , and finally after dimensionality reduction processing, the Canny operator algorithm is used for feature extraction, so as to extract the defect features of the eddy current pulse thermal image.

Description

technical field [0001] The invention belongs to the technical field of defect detection, and more specifically relates to a thermal image defect detection method of a pressure vessel based on row and column variable step length division. Background technique [0002] The manufacture of high-pressure vessels involves the cooperation of subject knowledge and professional technology in multiple industries, including: metallurgy, corrosion and protection, machining, safety protection, chemical industry, and testing. With the continuous advancement of technology in various industries in recent years, especially the development of metallurgy, machining, welding and non-destructive testing driven by the rapid development of computer technology, pressure vessel manufacturing technology has made great progress. [0003] Gas compression technology is widely used in natural gas vehicle filling stations and compressed air-powered vehicle filling stations, and natural gas vehicle filling...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/136G06T7/155
Inventor 程玉华殷春张博黄雪刚陈晓辉张昊楠薛婷
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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