Bridge crack detection method

A detection method and crack technology, applied in image data processing, instrumentation, calculation, etc., can solve problems such as low efficiency, poor mobility, and high risk

Active Publication Date: 2019-10-25
HANGZHOU DIANZI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this detection method has poor mobility, high risk, and low efficiency. Moreover, due to the subjectivity of manual marking, the detection accuracy is more dependent on the experience and knowledge of experts, and experience lacks objectivity in quantitative analysis.

Method used

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Embodiment Construction

[0112] The present invention will be further described below in conjunction with accompanying drawing.

[0113] Such as figure 1 As shown, a bridge crack detection method, the specific steps are as follows:

[0114] Step 1. Image acquisition

[0115] 1-1. Using Zhang Zhengyou’s plane calibration method, use the CCD camera to sample images of the calibration plate from different angles, calculate the internal parameter matrix of the CCD camera through the checkerboard corner coordinates of the detected calibration plate, and obtain the radial distortion coefficient by the least square method .

[0116] 1-2. Place the CCD camera calibrated in step 1-1 on the bridge inspection platform, and collect multiple sets of images of the complete bridge deck according to the preset shooting trajectory. The preset shooting trajectory is as follows figure 2 As shown, it is S-shaped.

[0117] 1-3. According to the internal reference matrix and distortion coefficient of the CCD camera o...

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Abstract

The invention discloses a bridge crack detection method. Due to the fact that manual marking has certain subjectivity, the pavement crack detection precision depends on experience knowledge of experts, and experience lacks objectivity in quantitative analysis. The method comprises the following steps: 1, collecting images of a detected bridge floor one by one to obtain a bridge floor image set; 2,splicing images; 3, detecting crack; 4, extracting crack parameter. According to the invention, the image acquisition and processing technology replaces human eyes to complete automatic nondestructive detection of the bridge crack, and has very important practical significance for research of the bridge crack detection technology in a complex terrain environment. On one hand, the construction safety is enhanced, and on the other hand, the operation maneuverability and flexibility are improved. According to the invention, fidelity splicing of multiple groups of bridge deck images is realized,the image splicing precision and efficiency are improved, a working foundation is laid for subsequent bridge crack image detection, and a technical reference is provided for image splicing detection in other fields.

Description

technical field [0001] The invention belongs to the technical field of image detection, and in particular relates to a bridge crack detection method. Background technique [0002] Building bridges and improving transportation have effectively promoted the development of our country's national economy and society. As an important carrier connecting two large span points, the internal stress generated by the long-term sun, rain and load operation will also be transmitted to some weak parts along the bridge structure, which makes the surface of the structure prone to exist. Creation and development of cracks. The damage degree of surface cracks with different orientations to the bridge structure is also different. If the extension direction of the surface cracks is perpendicular to the bearing surface of the structure, the damage will be the greatest. [0003] According to engineering practice and theoretical analysis, most bridges in service work with cracks, and the potenti...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/62G06T3/40G06T7/35G06T7/11
CPCG06T3/4038G06T7/0004G06T2207/20221G06T2207/30132G06T7/11G06T7/35G06T7/62
Inventor 张巨勇王云周洪强何凯陈志平李蓉
Owner HANGZHOU DIANZI UNIV
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