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Fault detection method for loose and missing key nuts of small parts bearings of railway wagons

A railway freight car, nut loosening technology, applied in computer parts, character and pattern recognition, image data processing and other directions, can solve the problems of low accuracy, low efficiency, high cost, and achieve improved efficiency, unified operating standards, and detection efficiency. improved effect

Active Publication Date: 2020-10-09
HARBIN KEJIA GENERAL MECHANICAL & ELECTRICAL CO LTD
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Problems solved by technology

[0004] The purpose of the present invention is to solve the problems of high cost and low efficiency in the current detection method relying on manual viewing of images, and the problem of low accuracy in detection by the existing automatic image processing technology

Method used

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  • Fault detection method for loose and missing key nuts of small parts bearings of railway wagons
  • Fault detection method for loose and missing key nuts of small parts bearings of railway wagons
  • Fault detection method for loose and missing key nuts of small parts bearings of railway wagons

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specific Embodiment approach 1

[0042] Specific implementation mode one: refer to figure 1 To describe this embodiment in detail,

[0043] The fault detection method for the looseness and loss of the key nut of the small component bearing of the railway freight car includes the following steps:

[0044] 1. Image Collection

[0045] Fixed equipment around the track of the truck is equipped with a camera or video camera to take pictures of the moving truck. After the truck passes through the equipment, a high-definition grayscale full-vehicle image is obtained. 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, differences in equipment installation, etc.

[0046] Therefore, there is a large variation between the obtained key nut images. In order to enhance the robustness of the recognition algorithm, in the process of collecting image data, we try our bes...

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Abstract

The invention discloses a fault detection method for loose and missing key nuts of small parts bearings of railway freight cars, belonging to the technical field of freight train detection. The present invention aims to solve the problems of high cost and low efficiency in the current detection method relying on manual viewing of images, and the problem of low detection accuracy in the existing automatic image processing technology. The invention collects images and extracts the image of the bearing block key area, constructs a sample data set, uses the sample data set to train the deep learning network, and obtains a trained deep learning network; extracts the image of the bearing block key area from the real passing car image and uses the trained depth The learning network obtains the ternary segmentation image; using the ternary segmentation image for fault detection, if there is no nut in the bolt area, it means that the key nut is missing; if part of the bolt area is above the nut, it means that the key nut is loose; if the above If so, a fault alarm will be issued. It is mainly used for the detection of loose and missing faults of bearing retaining key nuts.

Description

technical field [0001] The invention relates to a method for detecting a loose and missing fault of a bearing retaining key nut. The invention belongs to the technical field of freight train detection. Background technique [0002] The looseness and loss of the key nut of the freight train bearing is a common failure. Once a problem occurs, it will affect the safety of the freight train. Therefore, it is necessary to check the looseness and loss of the bearing key nut. For a long time, manual inspection of images has been used to detect loose and missing key nuts, which is not only inefficient, but also prone to missed detection. The key nuts and bolts of truck bearings are small parts, and the inspectors are prone to fatigue during the work process, and are more prone to missed inspections and wrong inspections, making it difficult to guarantee accuracy. Therefore, it is of great significance to improve the detection efficiency and accuracy by using automatic identificati...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/10G06T7/00G06N3/04G06K9/00
CPCG06T7/10G06T7/0008G06T2207/10004G06T2207/20081G06T2207/30268G06V20/10G06V2201/08G06N3/045
Inventor 燕天娇
Owner HARBIN KEJIA GENERAL MECHANICAL & ELECTRICAL CO LTD
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