Wheel set tread damage detection system and method based on image processing

Abstract

The invention discloses a wheel set tread damage detection system and method based on image processing. The system comprises a steel rail, a control module, a first rotary chassis, a first servo rotary table, an image acquisition module, a signal acquisition module, a second rotary chassis, a second servo rotary table and an LED illuminator. The method comprises the steps of 1, installing equipment; 2, starting the equipment; 3, conducting image acquisition; 4, conducting image processing; and 5, outputting a result. Compared with an existing manual maintenance method, the detection scheme and method can improve the detection precision and efficiency of the surface damage of the wheel set, the detection classification of the surface damage of the wheel set is clearer and more accurate, and directional maintenance by the maintenance personnel is facilitated. The camera device is designed to have a cleaning function, a dustproof lens of the camera can be automatically cleaned, the camera is prevented from being blocked by dust, the definition of a shot picture is guaranteed, and detection errors are reduced.

Description

technical field [0001] The invention relates to the technical field of wheel set tread damage detection, in particular to a wheel set tread damage detection system and method based on image processing. Background technique [0002] During the operation of the train, it mainly depends on the force applied by the outside to make the vehicle move forward or stop. These forces all act on the contact surface between the wheel and the track. If the technical condition of the contact surface is not good, it will seriously affect the running state of the train. It may even lead to accidents. The existing flaw detection method mainly relies on manual detection. This detection method is not only time-consuming and laborious, but also easily leads to missed inspections and repairs. After collecting data, additional personnel are required to enter the system, and the work efficiency is very low. . Contents of the invention [0003] The object of the present invention is to provide a ...

AI Technical Summary

Problems solved by technology

[0002] During the operation of the train, it mainly depends on the force applied by the outside to make the vehicle move forward or stop. These forces all act on the contact surface between the wheel and the track. If the technical condition of the contact surface is not good, it will seriously affect the running state of the train. It may even lead to accidents. The existing flaw detection method mainly relies on manual detection. This detection method is not only time-consuming and laborious, but also easily leads to missed inspections and repairs. After collecting data, additional personnel are required to enter the system, and the work efficiency is very low.

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