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Railway wagon small part bearing stop key nut looseness and loss fault detection method

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

Active Publication Date: 2020-04-28
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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  • Railway wagon small part bearing stop key nut looseness and loss fault detection method
  • Railway wagon small part bearing stop key nut looseness and loss fault detection method
  • Railway wagon small part bearing stop key nut looseness and loss fault detection method

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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 railway wagon small part bearing stop key nut looseness and loss fault detection method, and belongs to the technical field of freight train detection. The objective of the invention is to solve the problems of high cost, low efficiency and the like of a current detection mode depending on manual image viewing and the problem of low accuracy of detection by an existing image automatic processing technology. The method comprises the following steps: acquiring an image, extracting a bearing blocking key region image, constructing a sample data set, and training a deep learning network by using the sample data set to obtain a trained deep learning network; extracting a bearing blocking key area image for a real vehicle passing image, and obtaining a three-value segmentation image by using the trained deep learning network; carrying out fault detection by utilizing the three-value segmentation image, and if no nut exists in a bolt area, indicating that the stop key nut is lost; if partial area of the bolt is above the nut, indicating that the stop key nut is loosened; and if the situation is detected, carrying out fault alarming. The method is mainly used forbearing stop key nut looseness and loss fault detection.

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 Applications(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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