Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Mechanical part stress corrosion detection method and system based on image processing

A technology of mechanical parts and stress corrosion, which is applied in image data processing, computer parts, image enhancement, etc., can solve the problems of high occupancy rate of equipment, low efficiency, and long time consumption, so as to improve detection accuracy and accuracy The effect of sexuality and characteristic enhancement

Active Publication Date: 2021-11-23
江苏南通元辰钢结构制造有限公司
View PDF4 Cites 34 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the test of stress corrosion performance and cracking performance can use the constant load crack sample method, through the loading of constant load / displacement, tracking the displacement change of crack gap opening, and obtaining the growth rate of stress corrosion crack, but this sample method is expensive. Long time, usually several weeks or months, high occupancy rate of equipment and low efficiency

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Mechanical part stress corrosion detection method and system based on image processing
  • Mechanical part stress corrosion detection method and system based on image processing
  • Mechanical part stress corrosion detection method and system based on image processing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] In order to further explain the technical means and effects of the present invention to achieve the intended purpose of the invention, a method and system for stress corrosion detection of mechanical parts based on image processing proposed according to the present invention will be described below in conjunction with the accompanying drawings and preferred embodiments. Its specific implementation, structure, feature and effect thereof are described in detail as follows. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0037] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of the invention.

[0038] The specific scenario to which the embo...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to the technical field of artificial intelligence, in particular to a mechanical part stress corrosion detection method and system based on image processing. The method comprises the following steps: obtaining an initial grayscale image of a mechanical part according to a weighted average method, identifying the defect probability of each pixel point to obtain a first detection result image, extracting an uncertain region in the first detection result image, and adaptively dividing the uncertain region into a plurality of first regions; extracting a neighborhood feature value of the pixel points of the first region, and obtaining a second gray level image according to a weighted average method; obtaining a second gradient according to the neighborhood feature value, obtaining an optimal statistical feature having the smallest difference with the standard statistical feature according to the second gradient, and further obtaining an optimal coefficient; and obtaining an optimal grayscale image by adopting the optimal coefficient, and obtaining a final detection result image according to the optimal grayscale image. Through the feature enhancement of the image, the detection accuracy of the stress corrosion area is improved, and the detection efficiency is also improved while the detection accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a method and system for detecting stress corrosion of mechanical parts based on image processing. Background technique [0002] Stress corrosion is the failure phenomenon of mechanical parts or structures under the joint action of static stress and corrosion. Generally, stress corrosion belongs to brittle fracture, and there are three parts: incubation period, expansion period and transient interruption period. In order to prevent the influence of stress corrosion on mechanical parts and ensure the safety of mechanical parts operation, it is necessary to find stress corrosion defects in time during the incubation period or expansion period. [0003] At present, the test of stress corrosion performance and cracking performance can use the constant load crack sample method, through the loading of constant load / displacement, tracking the displacement change of crack...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/32
CPCG06T7/0004G06T2207/10024
Inventor 张海兵张松林王海涛
Owner 江苏南通元辰钢结构制造有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products