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Detection method for bad state of rotating double-lug component pin of high-speed rail contact network on basis of image invariance target positioning

A technology of rotating binaural ears and target positioning, which is applied in image analysis, image enhancement, image data processing, etc. It can solve the problems of difficulty, fault judgment lag, and large fault detection, and achieve simplified difficulty, high correct detection rate, and state-of-the-art Detect simple effects

Inactive Publication Date: 2015-01-28
SOUTHWEST JIAOTONG UNIV
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Problems solved by technology

But there are also the following problems: heavy workload, low efficiency, and large lag in fault judgment
Because the images of catenary support and suspension devices collected on site are generally complex, it is difficult to use image processing technology to detect faults in small components such as rotating double-ear pins, and there are no relevant reports on this aspect of research.

Method used

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  • Detection method for bad state of rotating double-lug component pin of high-speed rail contact network on basis of image invariance target positioning
  • Detection method for bad state of rotating double-lug component pin of high-speed rail contact network on basis of image invariance target positioning
  • Detection method for bad state of rotating double-lug component pin of high-speed rail contact network on basis of image invariance target positioning

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Embodiment Construction

[0053] The embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0054] figure 1 It is a block diagram of the processing procedure of the method of the present invention. figure 2 The position of the pin in the field acquisition image is shown, highlighting the difficulty of detecting such a small part.

[0055] A. Location and extraction of rotating binaural

[0056] a. Select a clear and complete rotating binaural template. The SIFT feature operator is not only invariant to image scaling, rotation and brightness changes, but also can adapt to a certain degree of affine transformation, viewing angle changes and the influence of noise. Use it to extract the feature points of the template image and the catenary image collected on the spot, and use the 128-dimensional feature vector A i and B i description, and then calculate the Euclidean distance U of each feature vector in the two images to measure ...

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Abstract

The invention discloses a detection method for a bad state of a rotating double-lug component pin of a high-speed rail contact network on the basis of image invariance target positioning. The detection method includes the following steps that a clear and complete rotating double-lug template is selected, by using an SIFT algorithm, feature points of the double-lug template and a target image are extracted and matched, an improved RANSAC algorithm is used for eliminating mismatching to obtain an affine transformation matrix, and a rotating double-lug part is positioned; Hough transformation is adopted for extracting the inclination angle of a double-lug sleeve in the target image, the double-lug sleeve is rotated to the horizontal direction, and then the rotating double-lug part is partitioned; pixel gray level values in the vertical direction of the target image are accumulated to determine the length of the stress part and the lengths of non-stress parts at the two ends of the pin; the range of related specific values among the lengths when the pin works normally and has a fault is concluded, so that the working state of the pin is judged.

Description

technical field [0001] The invention relates to the field of fault detection of a high-speed railway catenary, in particular to a method for detecting the faulty state of a rotating double ear pin of a catenary based on image processing. Background technique [0002] In the high-speed railway catenary suspension device, the rotating double ear pin is one of the important fasteners. Due to construction defects or vibration and impact during the long-term operation of the EMU, it may cause the looseness of the catenary components, and the poor state of the pins also brings hidden dangers to the safe operation of the EMU. This puts forward higher requirements for the structural stability of the catenary support device, and it is necessary to detect the pin failure and take measures to eliminate hidden dangers. The 4C system technical specification promulgated by the former Ministry of Railways includes high-definition video monitoring of the suspension part and the arm part of...

Claims

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/0004G06T7/001G06T2207/10004G06T2207/20021G06T2207/20024G06T2207/20132G06T2207/30164G06T2207/30168G06T2207/30236G06T2207/30252
Inventor 刘志刚钟俊平张桂南刘文强
Owner SOUTHWEST JIAOTONG UNIV
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