Fracture fault detection method for integrated framework of bogie side surfaces of railway wagon

A railway freight car and fault detection technology, which is applied in image data processing, instruments, calculations, etc., can solve the problems of low accuracy and efficiency, and achieve the effects of improving accuracy, increasing adaptability, improving efficiency and accuracy

Active Publication Date: 2020-05-01
HARBIN KEJIA GENERAL MECHANICAL & ELECTRICAL CO LTD
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Problems solved by technology

[0005] Aiming at the problem that the existing fault detection of integrated frame images is carried out manually, and the accuracy and efficiency are low, the present invention provides a method for detecting faults of integrated frame fractures on the side of railway freight car bogies

Method used

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  • Fracture fault detection method for integrated framework of bogie side surfaces of railway wagon
  • Fracture fault detection method for integrated framework of bogie side surfaces of railway wagon
  • Fracture fault detection method for integrated framework of bogie side surfaces of railway wagon

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specific Embodiment approach 1

[0040] Specific implementation mode 1. Combination figure 1 As shown, the present invention provides a method for detecting the fracture fault of the integral structure of the side of the railway freight car bogie, which includes the following steps:

[0041] Step 1: Obtain a sample image, and distinguish the detection categories of the sample image into fracture, water flow, chalk, and shadow; configure tag information for each sample image, and all sample images and tag information constitute a sample dataset;

[0042] Step 2: Use ImageNet model parameters to initialize the parameters of the deep residual network and Faster rcnn network, and then train the initialized deep residual network and Faster rcnn network based on the sample data set to obtain the weight coefficient of image processing; The weight coefficient updates the Faster rcnn network to obtain the trained Faster rcnn network;

[0043] Step 3: Install imaging equipment on both sides of the railway track, obtai...

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Abstract

The invention discloses a fracture fault detection method for an integrated framework of bogie side surfaces of a railway wagon, and belongs to the technical field of railway wagon equipment safety. The invention aims to solve the problems of low accuracy and low efficiency due to the fact that the fault detection of an integrated architecture image is carried out in a manual mode in the prior art. The method comprises the following steps: distinguishing detection categories of a sample image into fracture, water flow, chalk and shadow; configuring mark information for each sample image; training an initialized deep residual network and the Faster rcnn network based on a sample data set to obtain a weight coefficient of image processing; acquiring each to-be-faulted identification i; inputting a deep residual network and a Faster rcnn network, and identifying a target candidate box in each to-be-faulted identification image as a fracture, a water flow, a chalk and a shadow based on theweight coefficient; and processing each to-be-faulted identification including the fracture type, and giving an alarm for the determined fracture fault. The method is used for fracture detection ofthe integrated framework of the bogie side surfaces.

Description

technical field [0001] The invention relates to a fault detection method for the fracture of a side integral structure of a railway freight car bogie, and belongs to the technical field of railway freight car equipment safety. Background technique [0002] The equipment safety of railway wagons is the guarantee of driving safety. In the side structure of the truck bogie, the integrated structure is set to better ensure the stability of the bogie. However, with the long-term operation and use of the vehicle, there is a hidden danger of partial fracture of the integrated structure. In order to ensure the safe use of railway freight cars, it is necessary to pay attention to the current state of the integrated structure, so that when a break occurs, an alarm can be given in time to avoid affecting driving safety. [0003] At present, the fault detection of the integrated structure usually collects images first, and then manually detects the images to determine whether there is...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T7/0004G06T2207/10004G06T2207/20081G06T2207/20084G06T2207/30248
Inventor 付德敏
Owner HARBIN KEJIA GENERAL MECHANICAL & ELECTRICAL CO LTD
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