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

Track fastener fastener looseness detection method based on texture and depth images

A technology of depth image and texture image, which is applied in the field of railway infrastructure detection, can solve problems such as low efficiency, poor precision, and limited scope of application, and achieve the effects of reducing accuracy requirements, convenient use, and wide application range

Pending Publication Date: 2019-12-31
成都精工华耀科技有限公司
View PDF8 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The object of the present invention is to provide a method for detecting the looseness of rail fastener fasteners based on three-dimensional shape data, which is used to accurately detect whether the fasteners of rail fasteners are loose, so as to solve the problems existing in the existing method for detecting the looseness of rail fasteners. Poor accuracy, low efficiency, and limited scope of application

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
  • Track fastener fastener looseness detection method based on texture and depth images
  • Track fastener fastener looseness detection method based on texture and depth images
  • Track fastener fastener looseness detection method based on texture and depth images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] by Figure 5 The W-shaped fastener shown is taken as an example. The fastener of this type of fastener is composed of a nut 7 and a screw rod 6. The nut 7 is a movable part, and the screw rod 6 is a fixed part.

[0042] Step 1: Use the texture and depth hybrid imaging system to obtain the surface texture image and depth image of the rail fastener fastener;

[0043] Such as figure 2 As shown in Fig. 1, the texture and depth fusion imaging system 1 is used, perpendicular to the track plane, to capture texture images and depth images of the track and both sides.

[0044] The texture and depth fusion imaging system in this embodiment is composed of a line array scanning imaging and a line structured light three-dimensional scanning device. Correct the scanning direction for the acquired texture image and depth image, so as to ensure that the actual physical dimensions represented by the unit pixel of the horizontal and vertical coordinates in the texture image and the de...

Embodiment 2

[0060] The difference from Example 1 is that in step 3, the non-zero pixel value with the highest number of occurrences in the sequence S is taken as the height h of the active part c .

Embodiment 3

[0062] The difference from Example 1 is that the calculation of ROI1 and ROI2 in step 2 adopts the following method: on the depth image, according to the prior information of the height value of the fastener base or the sleeper, in the area where fasteners appear on both sides of the track, Carry out image threshold segmentation to detect fasteners; extract the fastener ROI2 in the depth image according to the position of the fastener in the fastener, and transform the position of ROI2 according to the positional relationship between the texture image and the depth image to obtain the tightness in the texture image. Firmware ROI1.

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 a track fastener fastener looseness detection method based on texture and depth images, and belongs to the field of railway infrastructure detection. The method mainly comprises the following steps: acquiring a surface texture image and a depth image of the rail fastener fastener by adopting a texture and depth hybrid imaging system; in the texture and depth images, calculating the floating height and the rotating angle of the fastener moving part, and judging whether the fastener is loosened or not according to whether the floating height and the rotating angle exceedset thresholds or not. Height change and angle change information of fastener looseness in the texture image and the depth image are comprehensively utilized, fastener looseness detection can be effectively achieved, and safe operation of a railway is effectively guaranteed.

Description

technical field [0001] The invention relates to the field of railway infrastructure detection, in particular to a method for detecting looseness of rail fastener fasteners based on texture and depth images. Background technique [0002] The fastener is an important part connecting the rail and the sleeper. Its function is to fix the rail on the sleeper, maintain the gauge and prevent the rail from moving vertically and horizontally relative to the sleeper. Therefore, the fastener plays an important role in ensuring the stability and reliability of the track. play a very important role. Bolts and nuts are the key to ensure that the fasteners are firmly fixed. Once the bolts or nuts float, it will inevitably lead to loosening of the fasteners, which will cause serious safety hazards. [0003] In terms of railway infrastructure testing, my country has long been dominated by manual and static testing, with high maintenance costs, high strength, and poor safety. With the rapid d...

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): G06T7/00G06T7/40G06T7/136G01B11/24
CPCG06T7/0004G06T7/40G06T7/136G01B11/24G06T2207/10028G06T2207/30164G06T2207/20084
Inventor 左丽玛
Owner 成都精工华耀科技有限公司
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