Method and device for detecting non-pulse abnormal data in track geometry detection data

A technology for detecting data and detection methods, which is applied in the field of data processing, and can solve problems such as multiple types, fast calculation speed, and difficult outlier processing methods
CN104457644BActive Publication Date: 2017-06-09CHINA ACADEMY OF RAILWAY SCI CORP LTD +2
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA ACADEMY OF RAILWAY SCI CORP LTD
Publication Date
2017-06-09

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Abstract

The invention provides a detecting method and device for non-pulse abnormal data in track geometry inspection data. The detecting method comprises the steps that high-pass filtering is carried out on collected track geometry inspection data to obtain track geometry irregular data with trend terms removed; running speed probability statistical treatment is carried out on the track geometry irregular data to determine a vehicle in-out station section, and the geometry irregular data of the vehicle in-out station section are set to be zero; a track widened area is determined according to the track gauge value in the track geometry irregular data, and track gauge and direction irregular data of the track widened area are set to be zero; a track gauge straight line section is determined according to the single-side track gauge in the track geometry irregular data, and irregular data of the track gauge straight line section are set to be zero. According to the features of different types of track geometry data and abnormal values of the track geometry, different processing procedures are adopted, non-pulse abnormal data in track geometry detection are filtered away, and reliable data support is provided for track overrunning judgment, track feature parameter calculation and track state judgment.
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Description

technical field

[0001] The invention relates to data processing technology, in particular to a method and device for detecting non-pulse abnormal data in track geometry detection data. Background technique

[0002] Even small-amplitude irregularities will have a greater impact on the safety, stability, comfort, and environmental noise of high-speed vehicles. Therefore, high-speed railways have put forward high smoothness requirements for tracks. Track geometric defects can be detected in time by using the track geometry detection data to ensure the safe and reliable operation of high-speed trains. The track geometry detection system adopts technologies such as laser scanning and image processing. According to the principle of inertial reference, the displacement, acceleration and angular velocity signals are filtered, compensated and synthesized to obtain geometric irregularity parameters such as track gauge, height, track direction and level. The detection accuracy can reac...

Claims

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