Automatic detection method for brake shoe borer loss fault of railway wagon

A railway freight car, automatic detection technology, applied in the field of image processing, can solve the problems of brake shoe brazing loss, time-consuming and laborious maintenance costs, etc., and achieve the effect of reducing the possibility of false detection and reducing the amount of calculation

Active Publication Date: 2015-01-07
江阴智产汇知识产权运营有限公司
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AI Technical Summary

Problems solved by technology

Because of the importance of the brake shoe brazing, in order to check whether the brake shoe brazing is missing, experienced train inspectors often manually check whether the brake shoe brazing is in the correct position. Loss of brazing is

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  • Automatic detection method for brake shoe borer loss fault of railway wagon
  • Automatic detection method for brake shoe borer loss fault of railway wagon
  • Automatic detection method for brake shoe borer loss fault of railway wagon

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Embodiment Construction

[0021] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and embodiments, but the scope of protection of the present invention is not limited to the following embodiments.

[0022] Such as figure 1 As shown, this embodiment processes the brake shoe brazing part image (1400×1024 pixels) collected on the railway site. These images have significant lighting changes, and the background and brake shoe shapes are complex. This embodiment includes the following steps:

[0023] In the first step, since the relative position between the high-speed camera and the brake shoe brazing part remains basically unchanged when shooting, the brake shoe brazing basically appears in a quarter of the image of the brake shoe brazing part. Therefore, in the actual detection process, a complete brake shoe brazing image is first divided into four regions (700×512 pixels) of equal size, and these four regions are detected s...

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Abstract

The invention provides an automatic detection method for a brake shoe borer loss fault of a railway wagon. Firstly, an area classifier, a positioning classifier and a fault judgment classifier are trained firstly; a brake shoe borer image to be tested is segmented through the area classifier, in the areas obtained after segmentation, a multi-level multiple-cascade-connection detection concept is adopted, a brake shoe borer is positioned through the positioning classifier, whether the brake shoe borer is lost or not is judged through the fault judgment classifier, and fully automatic detection on the brake shoe borer loss fault of the railway wagon is realized. By means of the automatic detection method for the brake shoe borer loss fault of the railway wagon, the fault detection rate reaches 99 percent, the detection speed reaches five frames/ second, and the actual application requirement is met.

Description

technical field [0001] The invention relates to a method in the technical field of image processing, in particular to an automatic detection method for the failure of a railway wagon brake shoe brazing loss. Background technique [0002] To ensure safe operation, fault detection plays a major role in the transportation field. There are a large number of typical examples of using fault detection in railway, aviation, marine and highway bridge maintenance. Due to the heavy responsibility in the field of transportation, once important equipment fails, it will cause huge losses of personnel and property. Therefore, many countries in the world have invested a lot of manpower, material resources and financial resources in the research of fault detection. Fault detection has become one of the research hotspots in the field of transportation today. [0003] Fault detection is usually realized by means of non-destructive testing. Non-destructive testing is a very broad name that i...

Claims

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Application Information

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IPC IPC(8): G06K9/66G06K9/00G06T7/00
CPCG06V2201/06G06F18/2411
Inventor 邹荣
Owner 江阴智产汇知识产权运营有限公司
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