Defective condition detection method based on curved and dotted singularity characteristics of insulator of overhead contact system of high-speed rail

A bad state and detection method technology, applied in the direction of optical testing flaws/defects, image data processing, instruments, etc., can solve problems such as unseen insulator angles

Inactive Publication Date: 2013-08-14
SOUTHWEST JIAOTONG UNIV
View PDF3 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The existing second-generation curvelet technology for locating insulators and detecting damaged states, and wavelet detection for insulator inclusions, but there is no technology that uses curvelet transform to obtain a coefficient matrix to generate a judgment matrix and fit the curve for detection. The integrated application of curve-like singularity and wavelet point-like singularity detection to detect insulator damage and inclusion of foreign objects, there is no technology to determine the angle of insulators by adjusting the curvelet coefficient matrix

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
  • Defective condition detection method based on curved and dotted singularity characteristics of insulator of overhead contact system of high-speed rail
  • Defective condition detection method based on curved and dotted singularity characteristics of insulator of overhead contact system of high-speed rail
  • Defective condition detection method based on curved and dotted singularity characteristics of insulator of overhead contact system of high-speed rail

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] Embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0034] figure 1 It is a flowchart of the operation of the present invention.

[0035] figure 2 is the image to be tested.

[0036] A specific embodiment of the present invention steps are as follows:

[0037] (a) Image acquisition

[0038] Using the strong light on the railway comprehensive inspection vehicle and the high-definition camera to shoot the catenary at night, the image of the insulator to be inspected with less interference signal is obtained and input to the subsequent unit.

[0039] (b) Image preprocessing

[0040]The image of the insulator to be detected is contrast-enhanced and denoised by Gaussian filtering to obtain a grayscale image f(x, y).

[0041] The image contrast enhancement method is an existing technology, for example, the following function can be used to perform a contrast enhancement operation on the insulat...

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 defective condition detection method based on curved and dotted singularity characteristics of an insulator of an overhead contact system of a high-speed rail. The method comprises the steps as follows: the overhead contact system is shot at night, so that an image of a to-be-detected insulator is obtained; the image of the to-be-detected insulator is subjected to contrast ratio enhancement and Gaussian filter and noise reduction processing; an approximate direction of the insulator in the image is determined through Radon transformation; then the insulator is determined and an angle is finely adjusted by using the curved singularity characteristics of the second generation curvelet transform; and finally a defective condition of the insulator is judged by the curved singularity characteristics of the second generation curvelet transform and the dotted singularity characteristics of the wavelet transform. The method can distinguish the insulator rapidly and correctly, and the state whether the insulator is damaged, a defective foreign matter blended state, and a type of the defective state are judged effectively. The actual input quantity is the image to-be-detected, the actual output quantity is a picture of the insulator which is positioned and result data of the defective state detection, the distinguishing effect is good, and the judgment result is accurate and reliable.

Description

technical field [0001] The invention relates to the field of intelligent detection of electrified high-speed railway catenary, in particular to a detection method for the bad state of high-speed railway catenary insulators. Background technique [0002] In electrified railways, the special form of transmission lines erected along the railway line to supply power to electric locomotives is called catenary. Among them, the insulator is an important part of the support and suspension device in the catenary. The main function of the insulator is to be responsible for the insulation of the catenary, etc. It can be seen that whether the insulator is in good condition directly determines the normal power supply of the electric locomotive. With the increasing number and scale of high-speed railways in my country, the task of state detection of high-speed railway insulators is becoming more and more arduous and difficult. [0003] Manual observation is the main method of tradition...

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): G06T7/00G01N21/88
Inventor 王伟旭刘志刚栗敏张桂南
Owner SOUTHWEST JIAOTONG UNIV
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