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

Method and device for detecting brake shoe earring faults of railroad trains

A technology for train brake and ring faults, applied in the field of computer vision and image recognition, can solve the problem of low accuracy of brake shoe brazing ring faults

Active Publication Date: 2017-10-20
武汉华目信息技术有限责任公司
View PDF3 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The invention provides a method and device for detecting faults of brake shoe brazing rings of railway trains, which are used to solve the technical problem that the accuracy rate of fault detection of brake shoe brazing rings in the existing method is not high

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
  • Method and device for detecting brake shoe earring faults of railroad trains
  • Method and device for detecting brake shoe earring faults of railroad trains
  • Method and device for detecting brake shoe earring faults of railroad trains

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0068] This embodiment provides a method for detecting the fault of the brake shoe brazing ring of a railway train, please refer to figure 1 , the method includes:

[0069] Step S101: obtaining the wheel axis coordinates of the railway train from the image of the railway train;

[0070] Step S102: According to the coordinates of the wheel axis, obtain a block related to the brake shoe ring from the image of the railway train;

[0071] Step S103: Constructing a brake shoe brazing ring positioning and recognition model by using a combination of deep learning and support vector machine;

[0072] Step S104: According to the brake shoe brazing ring positioning and identification model, detect the block related to the brake shoe brazing ring, so as to detect the fault of the railway train brake shoe brazing ring

[0073] In the embodiment of the present application, the railway train may be a railway passenger car or a railway freight car, and the execution order of step S102 and ...

Embodiment 1

[0147] The various variations and specific examples of the detection method for the fault of the brake shoe brazing ring of the railway train shown in Embodiment 1 are equally applicable to the detection device for the brazing ring fault of the railway train brake shoe in the present embodiment. For the detailed description of the detection method of the brake shoe ring failure, those skilled in the art can clearly know the detection device for the brake shoe ring failure of the railway train in this embodiment, so for the sake of brevity of the description, it will not be described in detail here.

[0148] One or more technical solutions provided in the embodiments of the present invention have at least the following technical effects or advantages:

[0149] The method for detecting the brake shoe brazing ring fault of the railway train provided in the embodiment of the present invention first obtains the wheel axis coordinates of the railway train from the image of the railwa...

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 discloses a method and device for detecting brake shoe earring faults of railroad trains. The method for detecting brake shoe earring faults of railroad trains comprises the following steps of: obtaining a wheel axis coordinate of a railroad train from an image of the railroad train; obtaining a segment related to a brake shoe earring from the image of the railroad train; and constructing a brake shoe earring positioning and recognition model by adoption of a method combining deep learning and a support vector machine; and detecting the segment related to the brake shoe earring according to the brake shoe earring positioning and recognition model so as to detect brake shoe earring faults of the railroad train. According to the method and device disclosed by the invention, the technical problem that the existing method is not high in brake shoe earring fault detection correctness is solved, and the technical effect of improving the brake shoe earring fault detection correctness is realized.

Description

technical field [0001] The invention belongs to the field of computer vision and image recognition, in particular to a method and device for detecting faults of brake shoe brazing rings of railway trains. Background technique [0002] In order to ensure the safety of railway trains, it is usually necessary to carry out fault detection on railway trains. The brake shoe brazing ring is a part of the basic braking device of the train, and the fault of the brake shoe brazing ring will affect the braking of the train. [0003] In the prior art, experienced train inspectors usually inspect brake shoe brazing rings for faults, such as loss, position offset, covering, etc. However, the efficiency of manual inspection is low. In order to improve the brake shoe brazing ring In order to improve the detection efficiency of faults, an automatic identification method for truck brake shoe faults has appeared. The above method first uses image segmentation to determine the characteristic ar...

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
IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V20/584G06V10/462G06F18/2411
Inventor 李秀花严明君陈伯胜别旭辉
Owner 武汉华目信息技术有限责任公司
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

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