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

Freight train fault detection method and device and electronic equipment

A technology for fault detection and freight trains, applied in image data processing, instruments, biological neural network models, etc., can solve problems such as long waiting time for trains, complicated procedures, and long fault inspection time

Pending Publication Date: 2021-03-16
JINGYING SHUZHI TECH HLDG CO LTD
View PDF0 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The fault inspection time is long, the process is complicated, and the waiting time for the train is long
Therefore, the current fault detection technology for freight trains still has the problem of fault detection 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
  • Freight train fault detection method and device and electronic equipment
  • Freight train fault detection method and device and electronic equipment
  • Freight train fault detection method and device and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach

[0066] Instance segmentation is performed on the region image based on the third neural network model obtained in advance, or the damaged region in the region image is extracted based on the region growing method, and the number of pixels covered by the damaged region is obtained. The above-mentioned third neural network model is trained based on the body side image samples marked with damaged areas, and the collected body side images are input into the trained third neural network model for instance segmentation of the damaged area, or the region growing method is used to The body image is segmented to extract the damaged area, and the coordinates and number of pixels of the damaged area in the side image of the body can be obtained.

[0067] The actual damage area of ​​the damage area is determined based on the number of pixels covered by the damage area. When the area image is a side door image, obtain the number of pixels covered by the train side door in the side door ima...

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 provides a freight train fault detection method and device and electronic equipment, and relates to the technical field of fault detection. The freight train fault detection method comprises the steps of obtaining a train body image of a freight train, and performing region segmentation on the train body image to obtain region images of all regions of a train body; acquiring a targetdetection model corresponding to the regional image, and performing target identification on the regional image based on the target detection model to obtain an identification result; and determininga fault detection result of the regional image based on the identification result. According to the invention, the fault detection result of each area image can be rapidly determined, and the fault detection efficiency of the freight train is improved.

Description

technical field [0001] The invention relates to the technical field of fault detection, in particular to a freight train fault detection method, device and electronic equipment. Background technique [0002] At present, because the Ministry of Transport and other departments have proposed the "road to railway" policy for the transportation of bulk goods such as coal, the demand for railway transportation of coal is strong, and the railway department optimizes the operation diagram of freight trains and increases the reserve of coal trucks. It is estimated that most of the national coal output All coal will be transported by rail. In order to increase the freight speed of freight trains and increase the quantity of freight, improving the inspection speed of freight trains has become an urgent problem to be solved. [0003] The body failure detection of the current freight train usually requires the staff to check each carriage of the train when the train is stopped, and mark...

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): G06K9/46G06K9/62G06N3/04G06T7/11G06T7/62
CPCG06T7/11G06T7/62G06V10/44G06N3/045G06F18/214
Inventor 赵存会杜亭玉李园园吴喆峰朱晓宁谭海燕
Owner JINGYING SHUZHI TECH HLDG CO LTD
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