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Recognition method for falling off of yoke frame bracket of railway freight car

A railway freight car and identification method technology, applied in the field of image recognition, can solve the problem of difficult and accurate judgment of the falling off of the coupler frame support plate, and achieve the effect of accurate fault identification and network accuracy

Active Publication Date: 2021-05-11
HARBIN KEJIA GENERAL MECHANICAL & ELECTRICAL CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to propose a method for identifying the falling off of the coupler frame supporting plate of railway freight cars in view of the problem in the prior art that it is difficult to accurately judge whether the supporting plate of the coupler frame has fallen off manually.

Method used

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  • Recognition method for falling off of yoke frame bracket of railway freight car
  • Recognition method for falling off of yoke frame bracket of railway freight car
  • Recognition method for falling off of yoke frame bracket of railway freight car

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specific Embodiment approach 1

[0057]DETAILED DESCRIPTION One: Refer toFigure 5Specifically, the present embodiment, the railway truck hook-tail frame pallet of the present embodiment, includes the following steps:

[0058]Step 1: Get 2D line array passed;

[0059]Step 2: Intercepting the cassettap in the 2D line array over the vehicle;

[0060]Step 3: Mark the hook-tail frame plate and individual nuts in the case of the closed car hook, and the marked car hook part sub-map is used as a data set;

[0061]Step 4: Use the data set to train the FASTER_R_CNN network model;

[0062]Step 5: Using the well-trained FASTER_R_CNN network model to identify the image, if the identification result is that the hook-tail frame plate and each nut are present, it is considered to be normal. If the hook fastener is not detected, it is considered to exist. Fault, alarm, if the hook-tail box pallet is present, when the nut is missing, it is determined by determining whether the offset angle of the hook-tailblake carrier is faulty.

[0063]Image acqui...

specific Embodiment approach 2

[0073]DETAILED DESCRIPTION OF THE INVENTION 2: The present embodiment is a further description of the specific embodiment, and the difference between the present embodiment and the specific embodiment is to determine whether or not the fault is determined by determining the offset angle of the hook tailblake carrier.

[0074]First, the angle between the left and right sides of the hook tail box is obtained, and when the angle between the hook-stop frame is less than 80 degrees or more than 100 degrees in the left and right sides, it is considered to be a hook-tuning frame. Plate falls off.

specific Embodiment approach 3

[0075]DETAILED DESCRIPTION OF THE INVENTION 3: The present embodiment is a further explanation of the second embodiment, and the difference between the present embodiment and the specific embodiment second is to obtain a specific step of obtaining the angle between the left and right sides and horizontal directions of the hook tail frame.

[0076]Step May 1: Depending on the FASTER_R_CNN network model, the hook-tail box pallet is obtained, and the hook-tail frame pallet center position is obtained, and the rectangular center is extended to the rectangular center to obtain a rectangular box, and the hook tail box The board is located within the rectangle;

[0077]Step 52: Mark the four corners of the extended rectangle frame in order, and normalize the four corner points marked a rectangular frame image, and then the normalized image is used as a data set. two;

[0078]Step 53: Using the Data Set of Two Training Quad Detection Network Model;

[0079]Step May Fourth: According to the result detec...

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Abstract

The invention relates to a method for identifying the shedding of the support plate of the coupler frame of a railway freight car, which relates to the field of image recognition technology. The traditional method is to find the fault point of the train through manual observation after the detection equipment takes pictures. This approach enables fault detection while the vehicle is moving without stopping. However, manual observation has disadvantages such as fatigue, high intensity, and need for training. The invention utilizes the image recognition technology to carry out fault identification, liberates manpower, greatly reduces manual workload, and increases the discovery rate and accuracy rate of fault identification.

Description

Technical field[0001]The present invention relates to the field of image recognition, and is specifically a railway truck hook-tail frame tray falling identification method.Background technique[0002]In the railway safety direction, the traditional method is to find the photo to the detection equipment, and find the ticket of the train through manual observation. This approach can be faulty in the car, without stopping. However, there is a disadvantage that the use of manual observation is easy to fatigue, high strength, and training.Inventive content[0003]It is an object of the present invention to determine the problem that the hook-tail frame plate is detached when the hook-tail frame plate is detached when the hook tail frame plate is detached.[0004]The technical solution adopted in order to solve the above technical problems is:[0005]Railway truck hook tailing frame detachment identification method, including the following steps:[0006]Step 1: Get 2D line array passed;[0007]Step ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V20/20G06V2201/08G06N3/045G06F18/253
Inventor 汤岩
Owner HARBIN KEJIA GENERAL MECHANICAL & ELECTRICAL CO LTD
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