Concrete surface crack real-time monitoring system and cracking risk dynamic assessment method

Abstract

The invention belongs to the technical field of building material and structure monitoring, and provides a concrete surface crack real-time monitoring system and a cracking risk dynamic assessment method. According to the cracking risk dynamic assessment method, images of the surfaces of concrete material test pieces are obtained by using CCD lens or digital cameras; processing analysis on acquired and stored digital images is performed via adopting of digital image matching method; digital image processing technique is used for identifying characteristic parameters such as position, area, length, and width of concrete cracks, and weighting classification is performed; quantified concrete cracking risk grading evaluate standards are obtained; and dynamic assessment on concrete cracking risk is realized via comparison with acquired concrete crack characteristic parameters. Existing concrete crack monitoring technique is high in cost and low in accuracy, and misjudgement on crack boundaries is caused when digital image method is used for concrete crack extraction. The concrete surface crack real-time monitoring system is capable of avoiding the disadvantages above, identifying the boundaries of the concrete surface cracks accurately, and evaluating concrete structure safety objectively and flexibly.

Description

technical field [0001] The invention belongs to the technical field of monitoring of building materials and structures, and in particular relates to a graphical real-time monitoring system for concrete cracks based on digital image technology and a dynamic assessment method for cracking risks of concrete materials and structures. Background technique [0002] Cracking and failure of concrete has always been a problem that is difficult to overcome and control in the engineering field. Due to the influence of concrete hydration heat release, shrinkage deformation, load action, environmental erosion and corrosion of steel bars, cracking phenomena commonly exist in reinforced concrete structures. Concrete cracks have a serious impact on the safety and durability of reinforced concrete structures. Therefore, it is necessary to monitor the development of cracks in concrete structures in real time, collect information such as the length, width, and location of cracks, and evaluate...

AI Technical Summary

Problems solved by technology

However, there are still some defects in the method of extracting and analyzing concrete cracks.

Although many scholars have proposed threshold selection methods such as maximum entropy thresholding method, edge strength segmentation method, Sobel operator, and maximum inter-class variance method and crack extraction methods based on the principle of gray threshold value, but so far no method has been found. This general algorithm can completely segment the information of cracks in complex environments, especially when the cracks are small or the gray level step between the crack edge and the background is small, it is easy to misjudgment the cracks and background, and after segmentation To perform noise processing, etc., the error is large

[0004] Due to the direct method, strain gauge (strain gauge) measurement method and digital image method still have various defects in the technical principles and testing methods of monitoring concrete structure cracks, it is difficult to identify the relevant information of concrete cracks efficiently, objectively and accurately at present, so as to The risk of cracking in concrete structures cannot be accurately assessed

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