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

Vehicle-mounted railway tunnel detection system based on machine vision

A detection system and machine vision technology, applied in the fields of computer vision, tunnel boundary detection, and image processing, can solve the problems of limited measurement range, low precision, and low efficiency, and achieve the effect of accurate data fusion results, suitable precision and high efficiency.

Active Publication Date: 2021-12-14
NORTHWESTERN POLYTECHNICAL UNIV +1
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In order to overcome the problems of low precision, low efficiency and limited measurement range in the prior art, the present invention provides a dynamic tunnel section data measurement system with high detection efficiency, wide measurement range, good accuracy and stability, and high-speed motion. Vehicle-mounted railway tunnel inspection system

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
  • Vehicle-mounted railway tunnel detection system based on machine vision
  • Vehicle-mounted railway tunnel detection system based on machine vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0035] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0036] Such as figure 1 Shown, the vehicle-mounted railway tunnel detection system based on machine vision of the present invention includes:

[0037] The detection vehicle body is used to provide the necessary vehicle operating environment and energy supply for the operation of the detection system.

[0038] Tunnel boundary data management module, used for basic tunnel data management, boundary graphic correction, tunnel synthesis and boundary table preview output;

[0039] The visual measurement calibration module is used for parameter calibration of multiple camera groups, and can be arranged in certain positions of the car body in a telescopic manner;

[0040] The tunnel information acquisition module is used for continuous and fixed frame rate acquisition of cross-sectional data when trains pass through tunnels at high speed;

[0041] The cross-se...

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 vehicle-mounted railway tunnel detection system based on machine vision, which adopts the method of ring-shaped binocular camera array and combines the stereo vision in computer vision to realize the detection and reproduction of the tunnel limit, which has high efficiency and wide detection range. Wide range, appropriate accuracy and other advantages. The accurate estimation of the attitude of the car body ensures the accuracy of the data fusion results. The system adopts the method of distributed design, using multiple computers (slaves) to simultaneously control the corresponding camera equipment. The use of distributed real-time measurement technology improves the stability of the system, and the synchronous work at the computing level reduces time consumption and has high work efficiency. By mounting the camera measurement system on the detection vehicle, the collection, calculation and fusion of tunnel data can be realized, which can greatly reduce the human and material resources and time required for manual measurement, and improve the efficiency of tunnel detection work.

Description

technical field [0001] The invention relates to the fields of image processing, computer vision and tunnel limit detection, in particular to a vehicle-mounted railway tunnel detection system based on machine vision. Background technique [0002] With the rapid development of my country's economy, railway transportation has played a pivotal role in the development of the national economy, and tunnels are common sections of railway transportation. [0003] On the one hand, China is a country prone to geological disasters, and the intrusion of natural disasters such as heavy rain and mountain torrents into tunnels seriously threatens the safety of railway traffic. If the information about the limit cannot be grasped in time, a major accident that endangers driving safety may occur. [0004] On the other hand, as the demand for large-scale railway transportation continues to increase, the potential safety hazards caused by over-limit cargo transportation cannot be ignored. It i...

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 Patents(China)
IPC IPC(8): G01C7/06G01C11/00
CPCG01C7/06G01C11/00
Inventor 王庆郑江滨盛世勇安天平裴宏波李红心周果清王雪
Owner NORTHWESTERN POLYTECHNICAL 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

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