Crack splicing method in bridge quality detection

Abstract

The invention relates to a crack splicing method in bridge quality detection. The machine vision technology, modern sensing technology, data analysis processing technology, calculation technology canbe effectively fused into bridge quality detection. Aiming at the acquired local image of the crack; the splicing of crack images is accurately completed. The automatic detection of the whole crack ofthe bridge is met; the safe use of the bridge is ensured. Method of installing an installation device, Collecting crack images, Crack image stitching, carrying out graying on the spliced image; grayscale transformation and image filtering preprocessing are carried out. The method is scientific. The bridge crack automatic splicing device is simple in structure, easy to operate, good in detectioneffect and capable of rapidly and accurately achieving automatic splicing of the same crack at different visual angles, the problem that long cracks cannot be contained in crack images is solved, themaximum crack width and the automatic detection level of the real position of the maximum crack width in bridge quality detection are further improved, and smoothness and safety of traffic transportation are effectively guaranteed.

Description

technical field [0001] The invention relates to traffic construction, in particular to a crack splicing method in bridge quality inspection. Background technique [0002] With the increasing economic and technological development, the highway transportation industry is also developing rapidly. Bridges are an important part of traffic road construction, and are closely related to people's travel safety and smooth traffic. But at present, in view of the advantages of concrete bridges and the national conditions of our country, bridge construction is still dominated by concrete bridges. [0003] Concrete bridges are vulnerable to natural forces and human factors during construction and use, such as temperature stress, load, material aging, artificial pouring methods, etc., and damage will inevitably occur over time. There are many forms of these damages, such as concrete falling off, carbonization, cracks, steel bar corrosion, pier sinking, etc., which pose a serious threat t...

AI Technical Summary

Problems solved by technology

[0005] At present, the detection of cracks at the bottom of bridges at home and abroad generally adopts manual detection methods. This detection method is labor-intensive, time-consuming and labor-intensive, and the direct readings of technicians have large human errors. The method of machine vision detection with the help of bridge inspection vehicles also gradually adopted

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