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

An Image-Based Detection Method for High-Speed ​​Railway Line Rod Breakage and Connecting Structure Abnormality

A technology of anomaly detection and structure, applied in the field of computer vision, to achieve the effects of wide applicability, background interference elimination, and high detection efficiency

Active Publication Date: 2017-12-29
SPIKE VISION (BEIJING) TECHNOLOGY CO LTD
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Compared with the abnormality of wire pole fracture (such as disconnection of the load-bearing line) and the abnormality of the connection structure (such as deformation and cracking of the joint of the support frame), the location of the abnormality of the bird's nest does not require an accurate line structure, so the binarization adopted in the above invention Both the algorithm and the extraction method of the line structure are not suitable for the abnormal detection of the breakage of the utility pole and the connection structure

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
  • An Image-Based Detection Method for High-Speed ​​Railway Line Rod Breakage and Connecting Structure Abnormality
  • An Image-Based Detection Method for High-Speed ​​Railway Line Rod Breakage and Connecting Structure Abnormality
  • An Image-Based Detection Method for High-Speed ​​Railway Line Rod Breakage and Connecting Structure Abnormality

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0026] Embodiment 1: as Figure 1 to Figure 7 As shown, the image data used in the present invention is the line image captured by the CCD camera on the railway catenary inspection vehicle, and its resolution is 2448×2050 (500W pixels). figure 2 It is an example diagram of a line structure with abnormal breakage of wire poles. It can be seen that there are disconnected connecting lines and poles in the figure. image 3 It is an example diagram of the partial image of the connected structure and its abnormal situation. It can be seen that there are cracks in the connecting part of the support rod in the picture. Aiming at the above-mentioned abnormality, the present invention proposes an image-based detection method for the fracture of the high-speed railway line pole and the abnormality of the connection structure, which includes the following steps,

[0027] Step 1) Image binarization, using a multi-scale local binarization algorithm to binarize the images taken along the h...

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 present invention relates to an image-based detection method for abnormality of pole fracture and connection structure of high-speed railway line, which adopts a multi-scale local binarization algorithm to carry out binarization processing on images taken along the high-speed railway line to be detected to highlight the main body of the line, And effectively eliminate the background interference, use a skeleton extraction algorithm to process the binary image to obtain the skeleton structure of the line, aiming at the abnormal breakage of the wire rod in the line, detect the break point by analyzing the skeleton structure of the line, find and locate possible occurrences For the location of the fracture, for the abnormality of the connection structure, the partial image of the connection body is extracted by using the line skeleton structure diagram, and the abnormality is detected and judged by using the convolutional neural network; the invention can automatically and efficiently break the wire rod of the railway line Abnormality and connection structure anomaly detection, so as to effectively improve the efficiency of transmission line safety supervision.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to an image-based method for detecting abnormality of a high-speed rail line pole fracture and connection structure. Background technique [0002] China has become the country with the fastest development of high-speed railway technology in the world. The line mileage, operating speed, and construction scale of my country's high-speed railways are all at the leading level in the world, and high-speed railways are gradually becoming a modern mode of transportation. At present, my country has developed and put into use a new type of line detection vehicle. This type of detection vehicle travels along the railway line, and the camera on the vehicle takes pictures of the line to record the real-time status of the line. Anomaly checking is performed by way of interpretation. There are many problems in manual interpretation of high-speed rail line pictures, such as long detection cycle, hi...

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): G06K9/00
CPCG06V20/20G06F18/23213
Inventor 田永鸿耿梦悦王耀威黄铁军
Owner SPIKE VISION (BEIJING) TECHNOLOGY 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