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Bridge defect detection method, equipment, system and storage medium

A defect detection and bridge technology, applied in image data processing, instruments, calculations, etc., can solve problems such as long operation cycle, low work efficiency, and high risk

Pending Publication Date: 2021-05-14
WUHAN UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In view of this, it is necessary to provide a bridge defect detection method, equipment, system and storage medium to solve the problems of low work efficiency, long operation cycle and high risk in the current bridge defect detection

Method used

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  • Bridge defect detection method, equipment, system and storage medium
  • Bridge defect detection method, equipment, system and storage medium
  • Bridge defect detection method, equipment, system and storage medium

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Embodiment Construction

[0040] Preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a part of the application and together with the embodiments of the present invention are used to explain the principle of the present invention and are not intended to limit the scope of the present invention.

[0041] see figure 1 , the bridge defect detection method that the embodiment of the present invention provides, comprises the following steps:

[0042] S100. Obtain bridge body image data collected by the drone.

[0043] In this embodiment, the motion camera mounted on the UAV is used to obtain the bridge body image data in real time. The bridge body image data exists in the form of video stream, and then communicates with the UAV through 5G technology to obtain the data collected by the UAV. The bridge body image data, wherein, the bridge body image data at least includes bridge deck image ...

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Abstract

The invention relates to a bridge defect detection method, device and system and a storage medium. The method comprises the steps of: obtaining bridge body image data collected by an unmanned aerial vehicle; preprocessing the bridge body image data to obtain a clear image of which the background except the defect is removed; carrying out edge detection on the image obtained after preprocessing so as to detect an area with a peeling defect of the bridge body; and processing the preprocessed image by adopting a preset convolutional neural network model so as to detect the position of the crack defect of the bridge body and the size of the crack defect. According to the invention, the problems of low working efficiency, long working period and high risk during bridge defect detection at present are solved.

Description

technical field [0001] The invention relates to the technical field of bridge detection, in particular to a bridge defect detection method, equipment, system and storage medium. Background technique [0002] As an important part of transportation, bridges are closely related to politics, economy, military affairs, science and technology, culture and art. The safe operation of bridges is closely related to the national economy and people's lives. The construction of bridges plays a vital role in the development of the national economy, but the bridge deck is often affected by the natural climate, especially in areas with a lot of rainfall, the bridge deck is often more vulnerable to water stagnation and damage. At the same time, with the economic development of our country, the traffic flow and vehicle load of bridges are gradually increasing, and these factors will increase the damage to the bridge surface. As time goes by, bridges will have problems such as cracks, road s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/13G06T7/136G06T7/194G06T7/62G06T5/00G06T5/40
CPCG06T7/0004G06T7/11G06T7/13G06T7/136G06T7/194G06T7/62G06T5/40G06T2207/10016G06T2207/20081G06T2207/20084G06T2207/30132G06T2207/30184G06T2207/20032G06T5/70
Inventor 杨艳芳谢雨霏尚春旭李匡奚谭小龙涂铭茜单庆洁殷芳锐
Owner WUHAN UNIV OF TECH
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