Ultrasonic rail flaw-detection trolley system based on deep learning and control method thereof

A deep learning and ultrasonic technology, applied in the analysis of solids using sonic/ultrasonic/infrasonic waves, material analysis using sonic/ultrasonic/infrasonic waves, railway inspection vehicles, etc. There are many factors and other problems to achieve the effect of improving detection accuracy, high-accuracy detection, and convenient maintenance.

Active Publication Date: 2017-10-24
SHANGHAI XIN YUE LIAN HUI ELECTRONICS TECH
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Problems solved by technology

However, the cost of large-scale ultrasonic rail flaw detection vehicles is extremely high, and the detection environment is limited by many factors. Generally, the rail surface needs to be smooth and clean, and the detection method is offline rail detection, which cannot directly complete flaw detection data processing during operation.

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  • Ultrasonic rail flaw-detection trolley system based on deep learning and control method thereof
  • Ultrasonic rail flaw-detection trolley system based on deep learning and control method thereof
  • Ultrasonic rail flaw-detection trolley system based on deep learning and control method thereof

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Embodiment Construction

[0032] The present invention will be further described below through specific embodiments in conjunction with the accompanying drawings. These embodiments are only used to illustrate the present invention, and are not intended to limit the protection scope of the present invention.

[0033] Such as figure 1 As shown, the present invention provides a deep learning-based ultrasonic rail flaw detection car system, including a flaw detection system 100, a drive system 200, a brake system 300, a wheel 400 connected to the drive system 200 and the brake system 300, and a car controller 500. The first industrial computer 600 and the power supply system 700 for supplying power to each part of the trolley system;

[0034] The flaw detection system 100 includes a second industrial computer 110, an ultrasonic probe wheel 120 connected to the second industrial computer 110, a spray mechanism 130, and a paint mechanism 140; the ultrasonic probe wheel 120 includes a rubber wheel 121 filled ...

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Abstract

The invention discloses an ultrasonic rail flaw-detection trolley system based on deep learning and a control method thereof. The ultrasonic rail flaw-detection trolley system comprises a flaw-detection system, a trolley controller and a first industrial personal computer, wherein the flaw-detection system comprises a second industrial personal computer, a spraying mechanism, a coating mechanism and an ultrasonic detection wheel connected with the second industrial personal computer; the ultrasonic detection wheel comprises a rubber wheel filled with a coupling agent and an ultrasonic transducer arranged on the rubber wheel; the trolley controller is used for controlling the trolley to move along the rail or brake the trolley and is respectively connected with the first industrial personal computer, the second industrial personal computer, the spraying mechanism and the coating mechanism. A modularized design method is applied to the trolley structure, so that the quick detaching of important parts of the trolley can be realized. The invention also applies the deep learning to the rail flaw-detection application, so that the real-time, efficient and high-accuracy detection for the flaw-detection data can be realized.

Description

technical field [0001] The invention relates to the field of rail flaw detection, in particular to an ultrasonic rail flaw detection trolley system based on deep learning and a control method thereof. Background technique [0002] With the rapid development of my country's railway transportation industry in recent years, the mileage of railways has also greatly increased, and the requirements for the safety and reliability of railways have also been greatly increased, and accordingly higher requirements have been put forward for railway maintenance and repair work. [0003] At present, my country's railway flaw detection equipment is mainly small-scale flaw detection vehicles that are manually pushed, which have the advantages of strong penetrating ability, good detection sensitivity, and high detection rate, but their flaw detection efficiency is low, and the flaw detection rate of normal operation is low. It is within 2km / h. In addition, the operator needs to push the flaw ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N29/04G01N29/06G01N29/44B61D15/12B61K9/10
CPCB61D15/12B61K9/10G01N29/04G01N29/0654G01N29/4481G01N2291/0289G01N2291/2623
Inventor 陈斌易建军朱晓民李钊刘鹏飞胡金辉王征宇
Owner SHANGHAI XIN YUE LIAN HUI ELECTRONICS TECH
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