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Intelligent railway roadbed disease recognition method based on ground penetrating radar

A technology of railway embankment and ground penetrating radar, which is applied in character and pattern recognition, radio wave reflection/reradiation, measuring devices, etc. It can solve problems such as low accuracy of pattern recognition, failure to consider main structures, weak technical background, etc. , to achieve lossless intelligent recognition, reduce data redundancy, and optimize feature representation

Active Publication Date: 2017-12-29
RAILWAY ENG RES INST CHINA ACADEMY OF RAILWAY SCI +1
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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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  • Intelligent railway roadbed disease recognition method based on ground penetrating radar
  • Intelligent railway roadbed disease recognition method 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 an intelligent railway roadbed disease recognition method based on a ground penetrating radar and belongs to the technical field of railway roadbed detection. The method includes the following steps of: establishing an intelligent railway roadbed disease recognition software system including ground penetrating radar data acquisition, preprocessing, two-dimensional discrete detection, feature extraction, feature dimension reduction and recognition model creation; and using the established intelligent recognition software to recognize a railway roadbed disease. According to the method, machine vision and pattern recognition technology replace manual reading of ground penetrating radar data so ad to achieve rapid, accurate and lossless intelligent recognition of a plurality of railway roadbed diseases, thereby improving the timeliness of the detection of the ground penetrating radar and promoting the intelligence of railway roadbed detection.

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...

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Application Information

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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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