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

Identification method and device for truck brake shoe breakdown

A technology for trucks and brake shoes is applied in the field of identification methods and devices for faults of truck brake shoes, which can solve the problems of relying on manual operation, low efficiency, and unstable recognition rate, so as to avoid manual operation errors, ensure operation safety, and prevent effect of accident

Inactive Publication Date: 2013-04-10
BEIHANG UNIV
View PDF4 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method of manual fault identification has problems such as low efficiency and unstable recognition rate, which cannot meet the development requirements of train safety operation.
[0003] It can be seen that the use of TFDS in the existing technology for brake shoe fault identification relies too much on manual operations, so the recognition rate of faults cannot be guaranteed, and accidents cannot be prevented in time, so that operational safety cannot be guaranteed.

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
  • Identification method and device for truck brake shoe breakdown
  • Identification method and device for truck brake shoe breakdown
  • Identification method and device for truck brake shoe breakdown

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The basic idea of ​​the present invention is: extract the segmentation features of three angles from the current image; determine the feature area of ​​the brake shoe of the current image according to the segmentation features of the three angles; extract the feature area of ​​the brake shoe of the truck from the current image The characteristics of the brake shoe: use the SVM algorithm to calculate the feature value of the current image of the brake shoe of the truck, and determine whether there is a fault in the brake shoe of the truck according to the feature value and the preset fault identification value.

[0029] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0030] The identification method of the truck brake shoe failure of the present invention, such as figure 1 shown, including the following steps:

[0031] Step 101: Extract segmentation features from three angles from ...

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 an identification method for truck brake shoe breakdown. The identification method for the truck brake shoe breakdown comprises extracting segmentation characteristics of three angles from a current image; conforming a characteristic region of a truck brake shoe according to the segmentation characteristics of the three angles; extracting truck brake shoe characteristics from the characteristic region of the truck brake shoe in the current image; utilizing the identification method of a support vector machine (SVM) for the truck brake shoe breakdown and calculating characteristics values of the truck brake shoe; judging whether the truck brake shoe failures or not according to the characteristic values and the presetting fault indentification values. The invention discloses an identification device for the truck brake shoe breakdown. Manual-acting faults can be avoided by utilizing the identification device for the truck brake shoe breakdown. The identification rate of the breakdown can be guaranteed. The accidents can be prevented timely. Therefore, operation safety can be guaranteed.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method and device for identifying faults of freight train brake shoes. Background technique [0002] At present, freight car brake shoe braking is the tread braking method commonly used by domestic railway freight cars. The brake shoe brazing on the freight car brake shoe is mainly used to prevent the freight car brake shoe from falling off. Once the brake shoe brazing is lost, the freight car brake shoe will be damaged during the operation It is very likely to fall off, causing brake failure, and what is more serious is that if the brake shoe of the truck just falls off the rail, it will cause a derailment accident. In recent years, the Ministry of Railways has vigorously promoted the fault image dynamic detection system (TFDS) of freight trains to image the key parts of the running trains, and manually browse the images to complete the fault identification. This method of man...

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): G06K9/46
Inventor 魏振忠李楠曹志鹏刘畅
Owner BEIHANG UNIV
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