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Ballast track disease automatic detection and recognition method

A track and disease technology, which is applied in the field of automatic detection and identification of ballasted track diseases, can solve problems such as missed detection and false detection of diseases, and achieve the effects of reducing labor costs, improving detection efficiency, and enhancing practicability

Active Publication Date: 2017-06-13
SHIJIAZHUANG TIEDAO UNIV
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Problems solved by technology

However, the existing GPR echo signal interpretation method is mainly through manual methods. Due to the different experience of each person, it is easy to cause missed and false detection of diseases.

Method used

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  • Ballast track disease automatic detection and recognition method
  • Ballast track disease automatic detection and recognition method
  • Ballast track disease automatic detection and recognition method

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Embodiment Construction

[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0026] Such as figure 1 As shown, the present invention discloses a method for automatic detection and identification of ballasted track defects, the method comprising:

[0027] Step 100, obtaining the dielectric constant of the ballasted track subgrade medium and the propagation speed of electromagnetic waves in the subgrade medium;

[0028] Step 110, the ground penetrating radar map of the ballasted track is divided into three types: no target, point target...

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Abstract

The invention provides a ballast track disease automatic detection and recognition method, and relates to the technical field of railway disease detection. A sliding time window is designed, the size of the window is 512*512, and the step length of the window is 512 trace. Hyperbola asymptote direction features in the time window are respectively extracted by means of the statistical domain energy feature extraction method, and whether diseases exist in the window or not is judged, recognized and recorded according to Euclidean distance space. The sliding window is moved to judge, recognize and record whether diseases exist in a next window or not, the steps are sequentially repeated, and ballast track disease automatic detection and recognition are achieved. The ballast track disease automatic detection method is implemented, manpower cost is greatly reduced, the detection efficiency is improved, and the practicality is very high.

Description

technical field [0001] The invention relates to the technical field of railway disease detection, in particular to an automatic detection and identification method for ballasted track diseases. Background technique [0002] Diseases such as slag pockets and mud slopping in the middle of the ballasted track have seriously affected the safety and comfort of driving. The current detection methods mainly include elastic wave method and full wave field method. These methods have slow detection speed and high labor cost, and are not suitable for large-scale general inspection. As a rapid and continuous non-destructive testing technology, ground penetrating radar is an important means to detect ballasted track defects. However, the existing GPR echo signal interpretation method is mainly through manual methods. Due to the different experience of each person, it is easy to cause missed or false detection of diseases. Contents of the invention [0003] An embodiment of the prese...

Claims

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Application Information

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IPC IPC(8): G01S13/88G01V3/12
CPCG01S13/885G01V3/12
Inventor 赵维刚杨勇杜彦良
Owner SHIJIAZHUANG TIEDAO UNIV
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