An Intelligent Identification Method of Railway Subgrade Disease Based on Ground Penetrating Radar

A railway roadbed, intelligent recognition technology, applied in character and pattern recognition, reflection/re-radiation of radio waves, instruments, etc. Lossless intelligent recognition, reducing data redundancy, optimizing the effect of feature representation

Active Publication Date: 2021-06-29
RAILWAY ENG RES INST CHINA ACADEMY OF RAILWAY SCI +1
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  • Application Information

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Problems solved by technology

At present, most of the research focuses on railway professionals, with weak technical backgrounds such as machine vision and pattern recognition, and few types of diseases are considered, and major structures such as turnouts and bridges are not considered; one-dimensional single-channel radar data is used as the identification unit. Segment along the depth direction to extract one-dimensional radar signal eigenvalues; finally, the accuracy of pattern recognition is not high, and it is difficult to put it into practical engineering applications

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  • An Intelligent Identification Method of Railway Subgrade Disease Based on Ground Penetrating Radar
  • An Intelligent Identification Method of Railway Subgrade Disease Based on Ground Penetrating Radar

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Embodiment Construction

[0028] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0029] A ground-penetrating radar-based intelligent identification method for railway embankment diseases includes two parts: establishing a software system for intelligent identification of railway embankment diseases and identifying railway embankment diseases.

[0030] First, establish a software system for intelligent identification of railway embankment diseases.

[0031] (1) Use ground penetrating radar to detect normal railway subgrades, railway subgrades containing different types of subgrade diseases, railway bridges, and turnouts, and save the detection data; subgrade diseases include muddying, dirty ballast beds, subsidence, water, and voids;

[0032] (2) Preprocessing: Perform zero-line correction on the detection data and convert it into a grayscale image;

[0033] (3) Two-dimensional discrete: such as figure 2 As shown, the acquired gro...

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Abstract

The invention relates to a ground-penetrating radar-based intelligent identification method for railway roadbed diseases, belonging to the technical field of railway roadbed detection. The implementation steps of the method are: establishing a railway embankment disease intelligent identification software system, including ground penetrating radar data collection, preprocessing, two-dimensional discrete, feature extraction, feature dimension reduction, and building an identification model; using the established intelligent identification software to identify railway embankment diseases identify. The present invention uses machine vision and pattern recognition technology to replace manual interpretation of ground-penetrating radar data, and can realize rapid, accurate, and non-destructive intelligent identification of various railway roadbed diseases, improve the timeliness of ground-penetrating radar detection, and promote the intelligence of railway roadbed detection. change.

Description

technical field [0001] The invention belongs to the technical field of railway embankment detection, and relates to an intelligent identification method for railway embankment diseases based on ground penetrating radar. Background technique [0002] The state detection and evaluation of railway subgrade is a key link in railway maintenance and repair. Among the current detection methods, ground penetrating radar (GPR) is the most ideal detection method. However, at present, the processing and interpretation of GPR data at home and abroad mainly rely on manual interpretation, which has low efficiency and poor timeliness. Therefore, establishing a fast and accurate method for processing GPR data of railway subgrades is an urgent problem to be solved in the detection of railway subgrades in my country. [0003] Since 2008, there has been a small amount of research on intelligent identification methods for railway subgrade diseases. At present, most of the research focuses on...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06K9/46G01S13/88
CPCG01S13/885G06V10/507G06V10/462G06F18/2411
Inventor 杜翠张千里刘杰韩自力蔡德钩马伟斌陈锋程远水
Owner RAILWAY ENG RES INST CHINA ACADEMY OF RAILWAY SCI
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