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Railway wagon sleeper beam hole foreign matter detection method

A railway freight car and foreign object detection technology, which is applied in the direction of railway vehicle shape measuring devices, railway car body parts, railway auxiliary equipment, etc., can solve the problems of high false alarm rate, low precision, poor stability of manual detection methods, etc., and achieve reduction The effect of false alarm rate, increased efficiency, and reduced possibility of missed and false detections

Active Publication Date: 2020-09-11
HARBIN KEJIA GENERAL MECHANICAL & ELECTRICAL CO LTD
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  • Application Information

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Problems solved by technology

[0005] The present invention aims to solve the problems of poor stability and low precision in manual detection methods, as well as the high false positive rate of existing deep learning methods

Method used

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  • Railway wagon sleeper beam hole foreign matter detection method
  • Railway wagon sleeper beam hole foreign matter detection method
  • Railway wagon sleeper beam hole foreign matter detection method

Examples

Experimental program
Comparison scheme
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specific Embodiment approach 1

[0057] Specific embodiment one: combination figure 1 Describe this embodiment,

[0058] The method for detecting foreign matter in the bolster hole of a railway freight car according to this embodiment includes the following steps:

[0059] 1. Training phase:

[0060] 1. Collect images:

[0061] A camera or video camera is mounted on a fixed device around the truck track to take pictures of the traveling truck. After the truck passes the device, a high-definition grayscale image of the entire vehicle is obtained.

[0062] Image quality is mainly affected by two aspects: one is the influence of natural conditions: rain, snow, mud stains, light, etc.; the other is the influence of man-made conditions: oil stains, black paint, and equipment installation differences. Therefore, there are differences between the captured images of the corbel hole. In order to enhance the robustness of the recognition algorithm, in the process of collecting image data, try to cover images under various con...

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Abstract

A railway wagon sleeper beam hole foreign matter detection method belongs to the technical field of railway wagon detection. The invention aims to solve the problems of poor stability and low precision of a manual detection method and the problem of high false alarm rate of an existing deep learning method. The method comprises: acquiring a sleeper beam hole position image as an image D; predicting the image D by using the trained segmentation model network; if no foreign matter exists in the image, processing the next image; otherwise, carrying out corrosion expansion operation, and marking the foreign matter prediction binary image as B; positioning the sleeper beam hole part according to the image D to obtain a positioned binary image, namely an image A; multiplying the pixel value points of the foreign matter prediction binary image B and the positioning binary image A, and adding to obtain a value c; and carrying out judgment, if c is not larger than the foreign matter judgment threshold m, proving that no foreign matter exists in the sleeper beam hole area, and otherwise proving that no foreign matter exists in the sleeper beam hole area. The method is mainly used for foreignmatter detection of railway wagon sleeper beam holes.

Description

Technical field [0001] The invention belongs to the technical field of railway freight car detection, and in particular relates to a method for detecting foreign matter in a railway freight car bolster hole. Background technique [0002] The detection of railway freight cars is related to the safety of railway freight cars, so the parts of railway freight cars need to be inspected regularly. During the use of the railway freight car, some parts of the freight car body may fall into the bolster hole, or when the railway freight car is manually inspected or repaired, some maintenance tools may also fall into the bolster hole. Therefore, it is also necessary to detect foreign objects in the bolster holes of railway freight cars. For a long time, manual inspection by inspectors (that is, by viewing the images of passing cars) has been used to determine whether the area of ​​the bolster hole is loaded with foreign objects. Work is very important, but a large number of image screening...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/34G06K9/62G06T7/00G06N3/04B61K9/08
CPCG06T7/0002B61K9/08G06V10/267G06N3/045G06F18/214
Inventor 燕天娇
Owner HARBIN KEJIA GENERAL MECHANICAL & ELECTRICAL CO LTD
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