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Overhead contact system rod insulator fault detection method based on Harris corners and image difference

An image difference and fault detection technology, applied in image analysis, image data processing, character and pattern recognition, etc., can solve problems such as high risk and complex algorithm

Inactive Publication Date: 2013-09-18
SOUTHWEST JIAOTONG UNIV
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Problems solved by technology

These detection methods have achieved certain results, but the analysis of the literature found that many methods have problems such as high risk and complex algorithms, which need further research

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  • Overhead contact system rod insulator fault detection method based on Harris corners and image difference
  • Overhead contact system rod insulator fault detection method based on Harris corners and image difference
  • Overhead contact system rod insulator fault detection method based on Harris corners and image difference

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Embodiment Construction

[0045] The embodiment of the present invention will be described in further detail below in conjunction with the actual pictures taken in the experiment.

[0046] combine figure 1 Shown: a schematic diagram of the thinking of the method proposed in this paper of the present invention.

[0047] The main steps are as follows: first, conduct Harris corner detection on the selected template image and the image to be detected; then use the sequential similarity detection algorithm to match the inner corners of the template image and the image to be detected; then perform fuzzy aggregation on the matched corners. Because the matching will cause the loss of useful corner points at the central axis of the insulator, it is necessary to restore the corner points; then use the least squares method to fit the straight line; finally, according to the symmetry of the images on both sides of the straight line, the differential image and statistical longitudinal The gray scale obtains the faul...

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Abstract

The invention discloses an overhead contact system rod insulator fault detection method based on Harris corners and image difference. The method includes the following steps: the Harris corners of a selected template image and an image to be detected are first respectively detected; the sequential similarity detection algorithm is then utilized to match the corners in the template image and the image to be detected; the matched corners are then fuzzily clustered, and because matching can cause the loss of useful corners, the corners need to be recovered; afterwards, the least square method is utilized to fit a straight line; finally, according to the symmetry of the images on two sides of the straight line, the image is differentiated, the vertical grey level is calculated, a fault information curve is obtained, and a fault diagnosis is presented. The method realizes the rotation resistance of template matching, moreover, the fault diagnosis is simple, and the method provides a new idea for the development of intelligentized patrol inspection systems for overhead contact systems, and can purposefully enhance the safe reliability of overhead contact systems of electrified railways.

Description

technical field [0001] The invention relates to the field of electrified railway detection, in particular to a catenary rod type insulator fault detection method based on Harris corner point and image difference. Background technique [0002] The insulators on the railway catenary have been affected by high mechanical strength, strong electric field and harsh environment for a long time, and will be damaged to varying degrees, causing power supply interruption of locomotives, causing serious economic losses and adverse social impacts. Therefore, online intelligent detection of insulators can effectively reduce potential safety hazards, improve maintenance efficiency and reliability of traction power supply. [0003] At present, the research methods for insulator fault detection at home and abroad mainly include: spectral method; ultraviolet pulse method; environmental monitoring method; ultrasonic detection method; infrared image feature extraction method and so on. These d...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/64
Inventor 刘志刚张桂南郭晓旭韩志伟韩烨
Owner SOUTHWEST JIAOTONG UNIV
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