A method, device, system and medium for detecting a railway wagon bottom component

By using holographic image acquisition, key component capture, undercarriage contour scanning, and radio frequency identification technologies, combined with deep learning algorithms, a freight car undercarriage model is constructed, solving the problems of low efficiency and low accuracy in the detection of undercarriage components of railway freight cars, and achieving efficient and accurate automated detection.

CN116091430BActive Publication Date: 2026-06-23SHENHUA RAIL & FREIGHT WAGONS TRANSPORT +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHENHUA RAIL & FREIGHT WAGONS TRANSPORT
Filing Date
2022-12-29
Publication Date
2026-06-23

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Abstract

The present application relates to automatic detection and image recognition technology, and discloses a railway wagon bottom component detection method, comprising: collecting holographic image information of the bottom of the wagon bottom and the side of the wagon bottom of the target railway wagon; identifying key components according to the holographic image information, and collecting snapshot images of the key components; performing wagon bottom contour scanning on the target railway wagon to determine sensitive information points of the target railway wagon; performing radio frequency identification on the target railway wagon to obtain wagon number label data; constructing a wagon bottom model of the target railway wagon according to the holographic image information, the snapshot images, the sensitive information points and the wagon number label, and performing component detection on the target railway wagon according to the wagon bottom model. The present application also proposes a railway wagon bottom component detection device, system and storage medium. The present application can improve the efficiency and accuracy of railway wagon bottom component detection.
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