Railway track quality evaluation method and device

By performing wavelet decomposition on track geometry detection data and training a prediction model, the problem that the existing track quality evaluation method cannot reflect vehicle response is solved, scientific assessment of track quality and discovery of invisible diseases are achieved, and the safety and comfort of train operation are improved.

CN114462700BActive Publication Date: 2025-09-05CHINA STATE RAILWAY GRP CO LTD +3
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Patent Information

Application Number
CN202210108642.8
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-01-28
Publication Date
2025-09-05
Estimated Expiration
2042-01-28

AI Technical Summary

Technical Problem

The existing track quality evaluation methods based on track geometry statistics cannot objectively reflect the actual vehicle response and cannot detect the invisible track geometry defects that affect the safety and comfort of train operation.

Method used

By acquiring the track geometry detection data of the railway track, wavelet decomposition is used to classify it into different wavelength components, and these components are imported into the prediction model. The prediction model is trained to determine the vehicle response, and finally the track quality is evaluated based on the vehicle response.

Benefits of technology

It realizes the conversion of track geometry detection data into vehicle response, can discover invisible defects that affect the safety and comfort of train operation, and provide scientific track quality assessment and reasonable maintenance and repair guidance.

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Abstract

This article provides a railway track quality evaluation method and device, which include: obtaining track geometry detection data of the railway track; importing the detection data into a prediction model to determine the vehicle response of the railway track; and determining the track quality of the railway track based on the vehicle response. This method realizes that the easily obtained track geometry detection data of the railway track is converted into a vehicle response through the prediction model. The vehicle response can replace the track geometry to predict the track quality, and can solve the problem of invisible defects on the railway track that do not exceed the track geometry but affect the safety and comfort of train operation, providing support for scientifically evaluating track quality and guiding reasonable maintenance and repair.
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Citation Information

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