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Concrete crack detection method based on ConcreteCrackSegNet model

A detection method, concrete technology, applied in the direction of neural learning method, biological neural network model, character and pattern recognition, etc., can solve the problems of time-consuming and laborious, the influence of subjective judgment of inspectors, low efficiency of manual visual inspection, etc., and save manpower The effect of high material strength and high segmentation accuracy

Pending Publication Date: 2022-06-07
YANTAI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Additionally, manual visual inspection is inefficient in terms of cost and accuracy as it involves subjective judgment by the inspector
The manual process of crack detection is time consuming and subject to the subjective judgment of inspectors
Manual inspections can also be difficult to perform in the case of tall buildings and bridges

Method used

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  • Concrete crack detection method based on ConcreteCrackSegNet model
  • Concrete crack detection method based on ConcreteCrackSegNet model
  • Concrete crack detection method based on ConcreteCrackSegNet model

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Embodiment Construction

[0037] In order to facilitate understanding of the present application, the present application will be described more fully below with reference to the related drawings. The preferred embodiments of the present application are shown in the accompanying drawings. However, the present application may be implemented in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided so that a thorough and complete understanding of the disclosure of this application is provided.

[0038] like figure 1 As shown, the concrete crack detection method based on ConcreteCrackSegNet includes the following steps:

[0039] 1. Collect concrete photos of bridge concrete structures and highways through drone photography, industrial cameras, etc., some of which contain cracks and diseases;

[0040] 2. Use LabelMe software to label photos. LabelMe is a software for labeling images. Use LabelMe to label the bounding box polygons of cracks and...

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Abstract

The invention provides a concrete crack detection method based on a ConcreteCrackSegNet model, and the method comprises the steps: inputting a picture shot by an unmanned aerial vehicle into the ConcreteCrackSegNet model for detection, and then outputting a predicted segmented concrete crack image through prediction; the ConcreteCrackSegNet model provided by the invention has the characteristics that the concrete crack color boundary is not obvious and the crack has certain continuity according to the concrete crack segmentation specific characteristics combined with the test, the actual concrete crack picture is collected, the picture set comprises various cracks which are not obvious, and the concrete crack color boundary is not obvious. The test fully considers the difficulty in distinguishing and the continuity of the crack. According to the method, the picture segmentation precision is high, and crack damage of the concrete structure can be detected, so that derivation of cracks of the concrete structure can be monitored in an early stage, support is provided for a scientific pre-maintenance decision provided by a maintenance department, and meanwhile, a large amount of manpower and material resources can be saved.

Description

technical field [0001] The invention belongs to the technical field of engineering detection, in particular to a concrete crack detection method based on a ConcreteCrackSegNet model. Background technique [0002] Cracks are a major concern in ensuring the safety, durability, and serviceability of structures because, when cracks develop and propagate, they tend to result in a reduction in the payload area, resulting in increased stress that can lead to concrete or other structures of destruction. As concrete structures age over time, cracks seem inevitable and occur in all types of structures, such as concrete walls, beams, slabs and brick walls, as well as bridges, pavement structures, etc. Especially for concrete elements, cracks can Produces exposure to harmful and corrosive chemicals to penetrate the structure, thereby compromising its integrity and aesthetics. [0003] In fact, for all types of structures, surface cracks are a key indicator of structural damage and dur...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06K9/62G06N3/04G06N3/08G06V10/774
CPCG06T7/0004G06T7/11G06N3/08G06T2207/20081G06T2207/20084G06T2207/30132G06N3/045G06F18/214Y02P90/30
Inventor 万海峰李娜曲慧王常峰曲淑英任金来孙启润程浩黄磊
Owner YANTAI UNIV
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