Method and device for detecting center plate bolt loss fault

A bolt and heart plate technology, applied in the field of image recognition, can solve the problems of high labor intensity, difficult operation quality control, and inability to retrospect the operation process, so as to overcome the excessive labor intensity of personnel and improve the inspection quality and inspection efficiency. Effect

Inactive Publication Date: 2013-04-17
CHINA SHENHUA ENERGY CO LTD +2
View PDF4 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The current train inspection operation mainly uses manual indoor inspection of vehicles, that is, the inspector needs to view the images of passing vehicles one by one. Although this has made significant progress compared with the traditional outdoor inspection operation, it is still There are problems such as excessive labor intensity, low work efficiency, missed detection, false detection due to the influence of physiological or psychological factors, difficult operation quality control, and untraceable operation process.

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 center plate bolt loss fault
  • Method and device for detecting center plate bolt loss fault
  • Method and device for detecting center plate bolt loss fault

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] The method and device for detecting the loss of core disc bolts according to the present invention will be described in detail below with reference to the accompanying drawings.

[0018] A typical fault identification system generally consists of five parts: image acquisition, image preprocessing, feature extraction, classifier design, and classification decision-making, such as figure 1 shown. Image acquisition is mainly to acquire the image of the object to be detected by the image acquisition device, and the main purpose of image preprocessing is to perform corresponding preprocessing on the acquired image for better feature extraction. Feature extraction is mainly to extract the features of the object to be recognized and perform data compression to prepare for the design of the classifier. The design of the classifier is completed in the training process, that is, to use samples for training to determine the specific parameters of the classifier, and the role of c...

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

Aiming at solving the problems of overhigh labor intensity of workers, low work efficiency, high liability of causing leak detection and false detection under the affect of physiologic or psychological factors, high operation quality control difficulty, impossibility of backtracking the operation procedure and the like when the center plate bolt loss fault is detected in the prior art, the invention provides a method and device for detecting a center plate bolt loss fault, which can be used for overcoming the defects. The method comprises the following steps of: acquiring an image of a plate bolt to be detected; extracting features of the acquired image based on a small edge feature; and inputting the feature extracted on the basis of the small edge feature to a trained classifier, and detecting the plate bolt loss fault according to the output of the classifier.

Description

technical field [0001] The invention relates to the field of image recognition, in particular to a method and a device for detecting the loss of center disc bolts. Background technique [0002] Vehicle maintenance is an important link to ensure the safe operation of railways. At present, most of the heart plate structures of railway freight cars in my country are combined heart plates (or live heart plates). The center plate of this structure is convenient for maintenance and disassembly, so it is widely used in main trucks. If the bolts of the center plate are loose, worn out, or broken, the center plate and the center plate pad will be displaced on the bolster, so that when the car body transmits the longitudinal horizontal force, there will be a longitudinal impact between the center plate and the bolster, and in severe cases, the The upper and lower center discs will protrude, and the bogie cannot be positioned. Since the loss of center plate bolts is a high-occurrenc...

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): G06K9/62G06K9/46
Inventor 薛继连贾晋中陈海滨李晓建贾晋军梁毅平赵金利赵俊彦任崇巍邹迎伟张闽东张鹏杨学超
Owner CHINA SHENHUA ENERGY CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products