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Bolt missing detection method, device and equipment and storage medium

A detection method and bolt technology, applied in image data processing, instruments, calculations, etc., can solve the problems of low accuracy of target detection models and affect the accuracy of detection results, etc., to eliminate background interference, achieve accurate extraction, and improve recognition accuracy Effect

Pending Publication Date: 2021-02-26
SHENZHEN YJY BUILDING TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The training of the current deep learning target detection model requires a large number of defect samples of missing bolts. However, in actual situations, there are various images of missing bolts, and it is difficult to obtain sufficient image samples of missing bolts. Therefore, the accuracy of the trained target detection model is low. Moreover, the background information is included in the current collection of bolted connection images, which affects the accuracy of the detection results

Method used

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  • Bolt missing detection method, device and equipment and storage medium
  • Bolt missing detection method, device and equipment and storage medium
  • Bolt missing detection method, device and equipment and storage medium

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Embodiment 1

[0059] This embodiment is applicable to detecting whether there is a missing bolt, and the method can be performed by a bolt missing detection device, such as Figure 1A As shown, it specifically includes the following steps:

[0060] Step 110, acquiring the image to be detected corresponding to the bolt to be detected.

[0061] The image of the bolt to be detected is collected to generate the image to be detected. The image collection methods include: manual collection, drone inspection collection, detection robot collection and other methods; the range of the collected image completely includes the area where the bolted connection plate is located.

[0062] Step 120, using the first preset model to identify the bolted gusset plate in the image to be detected as the image of the region of interest.

[0063] Before bolt missing detection, deep learning model training is required. The first preset model is the region of interest image recognition model, which is a target detect...

Embodiment 3

[0103] image 3 A structural schematic diagram of a bolt missing detection device provided in Embodiment 3 of the present invention, as shown in image 3 As shown, a bolt missing detection device includes:

[0104] The image acquisition module 310 is configured to acquire an image to be inspected corresponding to the bolt to be inspected.

[0105] The image of the bolt to be detected is collected to generate the image to be detected. The image collection methods include: manual collection, drone inspection collection, detection robot collection and other methods; the range of the collected image completely includes the area where the bolted connection plate is located.

[0106] The image extraction module 320 is configured to use the first preset model to identify the bolted gusset plate in the image to be detected as the image of the region of interest.

[0107] Before bolt missing detection, deep learning model training is required. The first preset model is the region of ...

Embodiment 4

[0140] Figure 4 A schematic structural diagram of a bolt missing detection device provided in Embodiment 4 of the present invention, as shown in Figure 4 As shown, the device includes a processor 40, a memory 41, an input device 42 and an output device 43; the number of processors 40 in the device can be one or more, Figure 4 Take a processor 40 as an example; the processor 40, memory 41, input device 42 and output device 43 in the device can be connected by bus or other methods, Figure 4 Take connection via bus as an example.

[0141] The memory 41, as a computer-readable storage medium, can be used to store software programs, computer-executable programs and modules, such as the program instructions / modules corresponding to the bolt missing detection method in the embodiment of the present invention (for example, the bolt missing detection device) Image acquisition module 310, image extraction module 320, reference point acquisition module 330, image correction module ...

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Abstract

The invention discloses a bolt missing detection method, device and equipment and a storage medium. The method comprises the steps of acquiring a to-be-detected image corresponding to a to-be-detectedbolt; identifying a bolt connection node plate in the to-be-detected image by adopting a first preset model as a region-of-interest image; performing image segmentation on a node plate in the region-of-interest image by adopting a second preset model, and obtaining a detection reference point based on an image segmentation result; correcting the region-of-interest image by adopting perspective transformation based on the detection reference point and a benchmark reference point of a preset reference image to obtain a corrected image; identifying bolt position information in the corrected image by adopting a third preset model; and based on the bolt position information in the preset reference image and the bolt position information in the corrected image, determining a bolt missing detection result of the to-be-detected bolt. The effects of accurately extracting the detection reference point, ensuring the correctness of the corrected image, improving the image recognition precision ofthe region of interest and improving the accuracy of bolt missing detection are achieved.

Description

technical field [0001] Embodiments of the present invention relate to defect detection technology, and in particular to a method, device, equipment and storage medium for detecting missing bolts. Background technique [0002] Bolted joints are one of the most commonly used connection methods for steel structural members. During the service process, due to temperature fluctuations, repeated loads, vibrations and other factors, bolts will cause delayed fracture and drop, which threatens the safety and stability of the entire structure. Therefore, it is of great significance to the missing detection of bolts. [0003] The traditional bolt drop is found through manual inspection, which is inefficient and easy to miss. It is low in economy and operability for the detection of connection structures containing a large number of bolts. In recent years, computer vision-based structural health detection methods have attracted widespread attention from academia and industry. The exist...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/13G06T7/136G06T7/187G06T7/194
CPCG06T7/001G06T7/0008G06T7/11G06T7/13G06T7/136G06T7/187G06T7/194G06T2207/10004G06T2207/10024G06T2207/20081G06T2207/20084G06T2207/30108
Inventor 姚志东卢佳祁王罡方五军熊梦雅
Owner SHENZHEN YJY BUILDING TECH
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