Service life prediction method based on binocular vision monitoring and surface crack image recognition

A technology for image recognition and surface cracks, which is applied in image analysis, image data processing, and measurement devices, can solve the problems of cumbersome implementation and low practicability of monocular visual monitoring of the fatigue state of the target surface, and achieve a wide range of applications and improve measurement The effect of high accuracy, efficiency and reliability

Inactive Publication Date: 2014-09-10
NAT UNIV OF DEFENSE TECH
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Problems solved by technology

[0007] Aiming at the problems of low practicability and cumbersome implementation of monocular vision monitoring target surface fatigue state, the present invention proposes a life prediction method based on binocular vision monitoring and surface crack image recognition

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  • Service life prediction method based on binocular vision monitoring and surface crack image recognition
  • Service life prediction method based on binocular vision monitoring and surface crack image recognition
  • Service life prediction method based on binocular vision monitoring and surface crack image recognition

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Embodiment Construction

[0034] The operation process of the life prediction method based on binocular vision monitoring and surface crack image recognition is as follows: figure 1 As shown, the method of the present invention will be described in detail below with reference to the embodiments.

[0035] Step 1, complete the calibration of the internal and external parameters of the binocular vision system.

[0036] (1) Fix the relative positions of the left and right cameras in the binocular system, place the binocular cameras to be calibrated in different positions, and simultaneously shoot the 2D checkerboard target at different angles, shoot 30 pictures, and use TOOLBOX_calib in MATLAB to calibrate The toolbox completes the calibration of the internal parameters of the left and right cameras.

[0037] (2) Use the left and right cameras in the binocular system to take a picture of the target fixed at the same position, and complete the calibration of the external parameters of the left and right ca...

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Abstract

The invention discloses a service life prediction method based on binocular vision monitoring and surface crack image recognition. The service life prediction method is used for solving the problem that an existing monocular vision method for monitoring fatigue cracks is low in operability and complex in implementation process, improving measurement accuracy and efficiency, and finally predicting the service life of a monitored target. According to the principle of the service life prediction method, a binocular vision system is used for continuously shooting the monitored target, and surface crack images, changing according to time, of the monitored object are collected; an image technology is used for preprocessing the crack images; a design algorithm is used for recognizing crack characteristic values; obtained crack data are analyzed, a degeneration track is fitted, and thus the service life of the monitored target can be predicted. The service life prediction method based on binocular vision monitoring and surface crack image recognition is wide in application range, and high in operability and reliability, and can provide guidance for production practice.

Description

technical field [0001] The invention relates to a life prediction method which comprehensively utilizes binocular vision technology monitoring and image technology to identify the characteristic value of surface cracks, in particular to a life prediction method based on binocular vision monitoring and surface crack image recognition. Background technique [0002] Due to various loads in the design, construction and use of engineering facilities, surface cracks will gradually occur. Surface cracks are common defects in engineering structures, and many penetration cracks can be traced back to the propagation of surface cracks. Therefore, in order to ensure that the materials or components with surface cracks will not have safety accidents during use, it is necessary to carry out continuous monitoring of the surface cracks, and accurately measure the characteristic value information such as the length and width of the cracks, so as to accurately obtain the surface cracks. Expa...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/88G01B11/02G01B11/03G06T7/00
Inventor 孙权潘正强冯静黄彭奇子周星黄伟
Owner NAT UNIV OF DEFENSE TECH
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