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

Industrial machinery fault detection method and device based on machine vision

An industrial machinery and fault detection technology, applied in the computer field, can solve the problems of low accuracy of detection results and achieve the effect of improving fault diagnosis efficiency and high precision

Pending Publication Date: 2022-02-25
BEIJING MATARNET TECH
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present invention provides a machine vision-based industrial machinery fault detection method and device to solve the defect of low accuracy of detection results in the prior art and realize high-accuracy detection of industrial machinery faults

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
  • Industrial machinery fault detection method and device based on machine vision
  • Industrial machinery fault detection method and device based on machine vision
  • Industrial machinery fault detection method and device based on machine vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0039] In the description of the embodiments of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer " and other indicated orientations or positional relationships are based on the orientations or positional relationships shown in the drawings, and are only ...

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 embodiment of the invention provides an industrial machine fault detection method and device based on machine vision, and the method comprises the steps: carrying out the image processing on an original image collected by a camera, and obtaining an image of a to-be-detected industrial machine; extracting features of each contour in the image of the industrial machine to be detected; and inputting the features of each contour in the image of the to-be-detected industrial machine into the fault detection model, and outputting a fault detection result corresponding to the to-be-detected industrial machine, wherein the fault detection model is obtained by training sample data of contour features of the mechanical structure image and a predetermined fault type label. According to the industrial machinery fault detection method and device based on machine vision provided by the embodiment of the invention, the fault detection result corresponding to the industrial machinery to be detected is obtained according to the feature of each contour in the image of the industrial machinery to be detected, a more accurate fault detection result can be obtained, and the fault diagnosis efficiency of industrial equipment can be effectively improved.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a machine vision-based industrial machinery fault detection method and device. Background technique [0002] Machine vision technology is a technology that replaces human eyes with machines to identify and detect. It collects images of items to be inspected through cameras, and after image signal processing, the detection results are recognized through system software. With the continuous development of automation technology, machine vision technology is widely used in industrial production inspection, especially for intelligent detection of industrial machinery failure. [0003] The existing machine vision-based industrial machinery fault detection methods often have false detections and missed detections during use, and the accuracy of detection results is low. Contents of the invention [0004] Embodiments of the present invention provide a method and device for detecting...

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): G06T7/00G06T7/11G06T7/13G06T7/136G06V10/774G06V10/764G06V10/74G06V10/46G01D21/00
CPCG06T7/0004G06T7/11G06T7/13G06T7/136G01D21/00G06T2207/20061G06T2207/10004G06T2207/20081G06T2207/30108G06F18/22G06F18/214G06F18/24
Inventor 邵怡文王佩佩
Owner BEIJING MATARNET TECH
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com