Railway hump shunting intelligent monitoring system

The intelligent monitoring system for railway hump yard shunting utilizes a multi-source image acquisition array and a deep learning model to solve the problem of accuracy in monitoring the brake status of vehicles during hump yard operations. It enables intelligent early warning and closed-loop control throughout the entire process, ensuring the safety and efficiency of hump yard operations.

CN122454522APending Publication Date: 2026-07-24HARBIN KEJIA GENERAL MECHANICAL & ELECTRICAL CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HARBIN KEJIA GENERAL MECHANICAL & ELECTRICAL CO LTD
Filing Date
2026-05-13
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

During the hump shunting operation of freight trains, existing technologies are unable to effectively monitor the brake status of vehicles, leading to safety hazards. In particular, factors such as light, obstructions, and noise can easily cause missed detections, potentially resulting in vehicle collisions or derailment accidents.

Method used

The railway hump yard shunting intelligent monitoring system is adopted, including a multi-source image acquisition array and a deep learning model, to monitor the vehicle status in real time, identify the vehicle length change, brake piston and brake chain status, and collect multi-angle images through multi-camera collaboration combined with side cameras, and use deep learning models for intelligent identification and early warning.

Benefits of technology

It improves the accuracy and efficiency of hump yard vehicle status detection, provides real-time warnings of potential safety hazards, ensures the safety of hump yard operations, reduces operational difficulty and labor intensity, and achieves closed-loop control throughout the entire process.

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Abstract

The application relates to a railway hump shunting intelligent monitoring system and relates to the technical field of railway wagon monitoring. The application is used for solving the problem of brake holding of a hump of a goods train. The detection equipment of the application is used for collecting a passing signal and a wagon number of a vehicle in real time; a multi-source image collection array is used for synchronously collecting images of multiple preset monitoring points on the bottom and the side of the vehicle when the vehicle passes; a deep learning model built in an intelligent identification device is used for performing the following: receiving real-time image frames and continuously identifying a coupler feature in the image frames; collecting all the image frames between the coupler features identified for two times in succession into a wagon image set, reading a wagon number acquired most recently when the coupler feature is identified for the second time, and binding the wagon number with the wagon image set; analyzing the images in the wagon image set after binding, comprehensively judging the states of the multiple preset monitoring points, and reporting the bound wagon number and abnormal information to a client when any preset monitoring point is abnormal.
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Citation Information

Patent Citations

  • CN115402381A