Imaging method and device for realizing automatic track board crack detection

An automatic detection and imaging method technology, which is applied in image analysis, transportation and packaging, image data processing, etc., can solve problems such as low efficiency, failure to meet the needs of track safety early warning, and high cost of manpower and material resources

Active Publication Date: 2020-07-28
SHANGHAI UNIV OF ENG SCI
View PDF11 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The main reason is that the ballastless track will be squeezed and impacted during the high-speed and heavy-load operation of the train, which may cause looseness, cracks or cavities inside, and various damage layers or honeycomb layers on the outside. On the other hand, there may be defects in the ballastless track itself due to problems in the construction process and construction experience in the pre-production; in addition, natural disasters such as rain and snow erosion and environmental temperature changes will also lead to defect
The existence of defects will seriously affect the bearing capacity and durability of the ballastless track, which will cause the structure of the ballastless track to fail, and the stability and smoothness of the ballastless track and the offlin

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
  • Imaging method and device for realizing automatic track board crack detection
  • Imaging method and device for realizing automatic track board crack detection
  • Imaging method and device for realizing automatic track board crack detection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0067] combine Figure 1 to Figure 3Shown: a kind of imaging device that realizes the automatic detection of rail slab crack provided by the present invention, comprises track inspection trolley 1 and camera 2 and computer 14 that are arranged on track inspection trolley 1, and described camera 2 is connected with computer 14 signal , also includes an ultrasonic transmitting receiver 3 and an ultrasonic linear array probe 4, the transmitting end of the ultrasonic linear array probe 4 is connected to the transmitting interface signal of the ultrasonic transmitting receiver 3, the receiving end of the ultrasonic linear array probe 4 is connected to the ultrasonic transmitting The receiving interface signal of receiver 3 is connected, and the receiving interface of described ultrasonic transmitting receiver 3 is connected with computer 14 signal, and described ultrasonic linear array probe 4 is connected with an adaptive telescopic mechanism 5, and described self-adaptive telescop...

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 imaging method and device for realizing automatic track board crack detection. The imaging method comprises the steps: using a camera for detecting track board crack surfacedefects; carrying out exciting by using an ultrasonic transmitting and receiving device, and transmitting an ultrasonic signal in the frequency of 1-5MHz to the interior of a track board through an ultrasonic linear array probe; acquiring a diffusion field signal in the track board in a self-transmitting and self-receiving mode by the ultrasonic linear array probe and transmitting the diffusion field signal to a computer; passively extracting a Green function from the received signal by the computer through MATLAB software; performing cross-correlation on the diffusion field signal, reconstructing a Green function between array elements, obtaining non-delayed response between the array elements, recovering early defect information submerged by noise, and then performing track plate crackimaging according to a frequency domain synthetic aperture focusing imaging algorithm. According to the invention, the defects on the crack surface and inside the crack of the ballastless track boardcan be efficiently detected in real time in a nondestructive manner.

Description

technical field [0001] The invention relates to an imaging method and device for realizing automatic detection of track plate cracks, belonging to the technical field of track defect detection. Background technique [0002] High-speed railway is of great significance for shortening the distance between cities and promoting coordinated regional development, and is an indispensable part of modern transportation methods. With the rapid development of high-speed railways, ballastless track, as a main track structure, is composed of ballastless track slab, CA mortar layer, support layer and foundation bed, and its application range is getting wider and wider. However, in recent years, more and more diseases have appeared in the offline structure of the high-speed rail, including the off-line structural clearance, through cracks, and voids in the CA mortar layer. The main reason is that the ballastless track will be squeezed and impacted during the high-speed and heavy-load opera...

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): B61K9/10G06T7/00
CPCB61K9/10G06T7/0002
Inventor 张辉朱文发张海燕范国鹏成瑶张梦可
Owner SHANGHAI UNIV OF ENG SCI
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