A method, system and device for detecting a windshield damage fault of a railway train

A fault detection and windshield technology, which is applied in the field of fault detection of windshield damage of railway trains, can solve the problems of blurred images and low accuracy of fault detection, and achieve the effects of reducing blurring, improving detection accuracy, and improving accuracy
CN112465816BActive Publication Date: 2021-08-06HARBIN KEJIA GENERAL MECHANICAL & ELECTRICAL CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HARBIN KEJIA GENERAL MECHANICAL & ELECTRICAL CO LTD
Publication Date
2021-08-06

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Abstract

A method, system and device for detecting damage to a windshield of a railway motor car, which belong to the technical field of fault detection for windshield damage of a railway motor car. The invention solves the problem that the accuracy of fault detection is low due to the fuzzy image obtained by preprocessing the image using the traditional median filtering method. The present invention adopts a balanced median filtering algorithm to retain the detail information of the image while removing most of the noise, reduce the fuzzy degree of the image, and further improve the accuracy of fault detection. In order to reduce the influence of the threshold selection in the Canny algorithm on the edge feature extraction effect, the present invention proposes a GA-Canny algorithm, which uses a genetic algorithm to find the optimal Canny threshold and improves the detection accuracy of the subsequent detection network. The invention can be applied to the fault detection of the windshield damage of the railway train.
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Description

technical field

[0001] The invention belongs to the technical field of fault detection for windshield damage of railway motor cars, and in particular relates to a fault detection method, system and device for windshield damage of railway motor cars. Background technique

[0002] Most of the traditional fault detection of railway trains adopts the method of manually looking at pictures to check whether there is a fault. The detection cost is high and the efficiency is low, and the detection results are easily affected by the fatigue and experience of the train inspectors. Using a computer to realize the automatic fault detection algorithm can effectively reduce the cost, and at the same time avoid the missed detection and false detection of faults caused by the fatigue of the inspectors, and improve the accuracy of fault detection. However, to realize automatic fault detection by means of computer, it is necessary to preprocess the image by using median filter first, and then...

Claims

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