A bridge crack detection device and detection method

Abstract

The invention discloses a bridge crack detection device and a detection method. The bridge crack automatic detection device includes a control device, an installation trolley, a telescopic rod mechanism and a detection device. The control device includes a data processing device, a display, a walking controller, a camera A shutter frequency detection unit, a telescopic rod adjustment device, a telescopic rod adjustment controller, a first distance detection unit and a second distance detection unit, a lighting brightness detection unit, a brightness adjustment module and a lighting brightness controller; the detection method includes steps: 1. Preparatory work before detection; 2. Image shooting and uploading; 3. Image interception; 4. Image processing of bridge cracks; 5. Image calibration of calibration objects; The invention has the advantages of simple structure, reasonable design and convenient use and operation, can realize accurate and rapid detection of bridge crack size, and improves the working efficiency of bridge crack detection and the reliability of detection data.

Description

technical field [0001] The invention belongs to the technical field of bridge crack detection, and in particular relates to a bridge crack detection device and a detection method. Background technique [0002] Nowadays, with the continuous development of bridge technology, not only the total mileage of bridges is also increasing year by year, but also the length of bridges is also lengthening, and bridges are also being built in places with harsh environments. The bridge is the throat of traffic, coupled with the rapid increase of existing traffic volume, the increase of heavy vehicles, and the overspeed and overweight transportation of vehicles, it is difficult for the bearing capacity of the bridge to adapt to the rapid increase of traffic load, and the bridge is in an overloaded state for a long time Cracks are prone to appear in underground work; in addition, the geological conditions, topographical conditions, climatic conditions and the influence of various factors in ...

AI Technical Summary

Problems solved by technology

However, in the actual bridge detection process, due to the complex detection environment of some cross-line bridges and under the bridge, it is more dangerous for the staff to be located under the bridge, making crack detection very difficult. In addition, the hand-held crack observer for irregular bridge cracks is only It can detect the width of a specific area of ​​bridge cracks, resulting in deviations in the size results of bridge crack detection, which affects the evaluation results of judging the safe bearing capacity of bridge structures and evaluating the operation quality of bridges

[0006] Third, machine vision is used to detect bridge cracks, mainly based on digital image processing technology to process the captured cracks, so as to obtain the width, length, area and perimeter of the cracks, but when processing crack images, one is The generally used crack images are crack images captured in a very ideal environment. The captured crack photo is a crack with a very clear edge and almost no burrs; Elimination, these two methods cannot meet the needs of actual projects, the workload is large, the efficiency is low, and the measurement detection is not accurate, and cannot provide an effective basis for objectively evaluating the quality of the pavement and scientifically making maintenance management plans.

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