Railway wagon derailment automatic brake valve cock handle closing fault image recognition method

An automatic braking valve, railway freight car technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problem of low image recognition accuracy, and achieve the effect of improving operation quality, improving operation efficiency and high accuracy

Inactive Publication Date: 2020-04-28
HARBIN KEJIA GENERAL MECHANICAL & ELECTRICAL CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the problem of low accuracy of image recognition of the closing fault image of the automatic brake valve plug handle of the derailed

Method used

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  • Railway wagon derailment automatic brake valve cock handle closing fault image recognition method
  • Railway wagon derailment automatic brake valve cock handle closing fault image recognition method
  • Railway wagon derailment automatic brake valve cock handle closing fault image recognition method

Examples

Experimental program
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Effect test

specific Embodiment approach 1

[0026] Specific implementation mode 1: In this implementation mode, the specific process of the fault image recognition method for the derailment automatic brake valve plug door handle of the railway freight car is as follows:

[0027] Step 1. Set up high-definition equipment around the truck tracks to take pictures of the trucks passing by at high speed, and obtain two-dimensional images on both sides of the trucks; use line scanning to achieve seamless image stitching and generate two-dimensional images with a large field of view and high precision .

[0028] Step 2. Rough positioning of the derailment automatic brake valve plug door handle components on the two-dimensional image obtained in step 1;

[0029] Step 3. Establish the original sample data set based on the rough positioning of the derailed automatic brake valve plug door handle part image in step 2; the specific process is:

[0030] As truck components may be affected by rain, mud stains, oil stains, black paint ...

specific Embodiment approach 2

[0042] Embodiment 2: This embodiment differs from Embodiment 1 in that in Step 2, the two-dimensional image obtained in Step 1 is used for rough positioning of the derailment automatic braking valve plug handle; the specific process is:

[0043] Roughly locate the position of the parts according to the wheelbase information and model information of the truck, and intercept the local area image including the derailed automatic brake valve plug handle part from the side two-dimensional image, which can effectively reduce the time required for fault identification and improve identification Accuracy.

[0044] Other steps and parameters are the same as those in Embodiment 1.

specific Embodiment approach 3

[0045] Specific embodiment three: the difference between this embodiment and specific embodiment one or two is that the data set is enlarged in the step four; the specific process is:

[0046] Although the establishment of the sample data set includes images under various conditions, in order to improve the stability of the algorithm, it is still necessary to perform data amplification on the sample data set. The form of amplification includes image rotation, translation, scaling, mirroring and other operations, and each operation is performed under random conditions, which can ensure the diversity and applicability of samples to the greatest extent.

[0047] Other steps and parameters are the same as those in Embodiment 1 or Embodiment 2.

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Abstract

The invention relates to a railway wagon fault image recognition method, in particular to a railway wagon derailment automatic brake valve cock handle closing fault image recognition method. The objective of the invention is to solve the problem that the existing railway wagon derailment automatic brake valve cock handle closing fault image identification accuracy is low. The method comprises thesteps: 1, building equipment around a truck rail, and obtaining two-dimensional images of the two sides of a truck; 2, carrying out derailment automatic brake valve cock handle part coarse positioningon the obtained two-dimensional image; 3, establishing an original sample data set based on the derailed automatic brake valve cock handle part image of coarse positioning; 4, carrying out data set amplification on the original sample data set; 5, obtaining a trained positioning model SSD and a classification model VGG16; and 6, according to the fault information, generating a message according to the fault position and the fault type, and uploading the message to an alarm platform. The method is applied to the field of rail wagon fault image recognition.

Description

technical field [0001] The invention relates to a fault image recognition method for railway wagons. Background technique [0002] Train derailment is a very serious accident during the operation of railway vehicles. In order to avoid the occurrence of such accidents, automatic derailment braking devices are often installed on railway wagons. After inspection, it is confirmed that the train cannot run due to air leakage from the derailment automatic braking device, the handle of the valve plug door can be closed first, the air passage between the derailment brake valve and the train brake main pipe can be cut off, and the line can be quickly opened. Valve plug handle opens. However, in its application, it was found that due to the misoperation of the relevant maintenance personnel, the derailment automatic braking device had a failure to close the derailment valve plug door handle, which would not only affect the basic performance of the railway wagon, but also bring safety...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06K9/62
CPCG06T7/0004G06T2207/10004G06T2207/20081G06T2207/20084G06T2207/30108G06F18/241
Inventor 马元通
Owner HARBIN KEJIA GENERAL MECHANICAL & ELECTRICAL CO LTD
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