Method for automatically detecting handle loss fault of angle cock of railway wagon

A railway freight car, automatic detection technology, applied in the field of image processing, can solve problems such as time-consuming and laborious maintenance costs, brake system failure, multiple engine failures, etc., to achieve the effect of improving efficiency and reducing maintenance costs

Active Publication Date: 2014-01-08
山东正晨科技股份有限公司
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AI Technical Summary

Problems solved by technology

Once the angle cock is closed abnormally, the air passage will be blocked and the brake system of the vehicle behind will fail. When the truck needs to brake, the air brake function will be affected, and the braking force will drop. In severe cases, the truck will rush forward. rear-end accident
It is precisely because of the importance of the knuckle plug door that in order to ensure the safety of the knuckle plug door, experienced train inspec...

Method used

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  • Method for automatically detecting handle loss fault of angle cock of railway wagon
  • Method for automatically detecting handle loss fault of angle cock of railway wagon
  • Method for automatically detecting handle loss fault of angle cock of railway wagon

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Embodiment

[0019] Such as figure 1 As shown, in this embodiment, the image (1400×1024 pixels) of the angle cock part collected on the railway site is processed. These images have significant lighting changes and complex backgrounds. This embodiment includes the following steps:

[0020] The first step is to sample the image of the knuckle plug part to be analyzed with 4 pixel displacements, intercept a window of 192×128 pixels, and extract the gradient-encoded histogram features, specifically:

[0021] ① Obtain a smooth image I′ by convolving the image I of the knuckle cock with the Gaussian kernel function: I′=I*G(x,y,σ), where * represents the convolution operation, and the standard deviation is the Gaussian kernel with σ The function is G ( x , y , σ ) = 1 2 πσ 2 ...

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Abstract

The invention relates to a method for automatically detecting a handle loss fault of an angle cock of a railway wagon in the technical field of image processing. Characteristic vectors required for fault detection are established by adopting gradient encoding histogram characteristics; a positioning classifier and a verification classifier which are required for detection are trained by adopting a linear support vector machine; and by adopting a hierarchical cascading detection idea, firstly, the positioning classifier is utilized to position the integral angle cock and then the verification classifier is utilized to verify whether a handle on the angle cock is lost so as to implement full-automatic detection on the handle loss fault of the angle cock, and any labor does not need to participate in the process. According to the invention, the fault detection rate reaches 99.8 percent, the detection speed reaches 6 frames per second, and the requirements of practical application are met.

Description

technical field [0001] The invention relates to a method in the technical field of image processing, in particular to an automatic detection of a lost fault of a knuckle plug door handle of a railway freight car. 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 t...

Claims

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Application Information

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IPC IPC(8): G06K9/66
Inventor 周富强邹荣邱亚飞刘柳魏振忠
Owner 山东正晨科技股份有限公司
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