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Fault recognition method for spring pallet based on image processing

An image processing and fault identification technology, applied in the field of image recognition, can solve the problems of low detection efficiency and achieve the effect of low hardware environment, fast fault identification and stable faults

Active Publication Date: 2021-03-16
HARBIN KEJIA GENERAL MECHANICAL & ELECTRICAL CO LTD
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  • Claims
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Problems solved by technology

[0004] The purpose of the present invention is to propose a fault identification method for spring pallets based on image processing in view of the low detection efficiency of manual detection of spring pallet folded head bolt breakage and nut loss faults in the prior art

Method used

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  • Fault recognition method for spring pallet based on image processing
  • Fault recognition method for spring pallet based on image processing
  • Fault recognition method for spring pallet based on image processing

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specific Embodiment approach 1

[0032] Specific implementation mode one: refer to figure 1 Describe this embodiment in detail, 1, original image acquisition described in this embodiment

[0033] Set up high-speed imaging equipment at fixed detection sites to obtain high-definition linear array grayscale images of various parts of the truck. Collect images under different environments in different time periods, obtain a large amount of sample data, and ensure that there are various natural disturbances in the data images such as light, rain, mud stains, etc., to ensure the diversity of the data. The algorithm designed in this way There will be better robustness, because there are various natural disturbances such as light, rain, mud stains, etc., which will have a serious impact on image recognition, thereby reducing the recognition accuracy.

[0034] It is difficult to directly locate the folded head bolts of the spring support plate on the large map, but it is possible to select reasonable features accordi...

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Abstract

The image processing-based fault identification method for spring pallets involves the field of image recognition technology, aiming at the problem of low detection efficiency in the prior art of manually detecting the faults of spring pallet folded head bolts and nut loss, including step 1: obtaining Through the linear array image of the truck, and rough positioning to obtain the frame part image; step 2: locate the image of the area where the two triangular holes are located in the frame part image according to the part features of the frame; step 3: add the offset according to the positioning result, Intercept the sub-image of the folded head bolt area of ​​the spring support plate; Step 4: Perform convolution kernel convolution on the sub-image to obtain the shadow image of the folded head bolt area at the lower end of the spring support plate; Step 5: According to the shadow of the folded head bolt area at the lower end of the spring support plate The horizontal width between images determines whether there is a fault. If there is, an alarm will be issued. If there is no fault, no processing will be performed. The invention improves detection efficiency and accuracy.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a spring pallet fault recognition method based on image processing. Background technique [0002] Railway wagons are the main mode of cargo transportation in my country, and a large number of wagons are running online every day. Under the influence of various external environments, failures of various components cannot be avoided. [0003] The broken head bolts of the spring support plate and the missing nuts are a kind of failure that endangers driving safety. If the failure is not discovered in time, it may have serious consequences. At present, it is mainly to use human eyes to search for faults on the whole vehicle. The search range is large, there are many parts, there are many vehicles, and there are many fault forms. Therefore, this work is a mechanical operation with strong repetition, high intensity and fatigue. When workers are tired, it is easy to cause mis...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/32G06K9/34B61K9/00
CPCB61K9/00G06V10/25G06V10/267
Inventor 汤岩
Owner HARBIN KEJIA GENERAL MECHANICAL & ELECTRICAL CO LTD
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