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Bridge deck crack supervision method and system based on binocular vision

A binocular vision and crack technology, applied in neural learning methods, electrical digital data processing, biological neural network models, etc., can solve problems such as spending a lot of manpower and material resources

Inactive Publication Date: 2021-09-14
广州万安建设监理有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Therefore, the inventor believes that there is a need to spend a lot of manpower and material resources in the prior art to regularly detect cracks

Method used

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  • Bridge deck crack supervision method and system based on binocular vision
  • Bridge deck crack supervision method and system based on binocular vision
  • Bridge deck crack supervision method and system based on binocular vision

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Embodiment Construction

[0043] The following is attached Figure 1-3 The application is described in further detail.

[0044] The embodiment of the present application discloses a binocular vision-based bridge deck crack supervision method, see figure 1 , the method includes the following steps:

[0045] S100: Obtain in real time the crack depth information and crack width data information about bridge deck cracks transmitted by the crack detection device 2 set at a fixed point.

[0046] In this embodiment, the crack detection device 2 refers to a detection instrument for detecting bridge deck cracks;

[0047] Specifically, the crack detection device 2 is installed at the fixed-point detection position of the bridge deck, so that the crack detection device 2 detects the cracks to obtain detection data related to the cracks, and stores the detected data into the system.

[0048] S200: Extract crack depth information and crack width information related to bridge deck cracks from bridge deck historical...

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Abstract

The invention discloses a bridge floor crack supervision method and system based on binocular vision. The method comprises the following steps: acquiring crack depth information and crack width data information at a fixed point position; extracting crack depth information and crack width information related to a bridge floor crack from bridge floor historical detection information, and training the obtained information to obtain a training model of the crack depth information and the crack width information; forming information of the obtained crack depth information and crack width data information is judged according to a training model; and estimating the bridge deck crack development trend according to the formed information. The width information and the depth information about the bridge floor crack detected by the crack detection device in real time are compared with data in the training model for judgment, and the development trend of the crack is judged based on the training model according to the detected data, so that a worker can take processing measures in time according to the development trend of the crack, the crack does not need to be detected regularly, and the convenience is improved.

Description

technical field [0001] The invention relates to the field of bridge deck crack supervision, in particular to a binocular vision-based bridge deck crack supervision method and system thereof. Background technique [0002] During or after the construction of the bridge deck, due to the dehydration of the concrete, it causes shrinkage or the influence of the hand temperature and height temperature difference, which causes uneven expansion and contraction, which will lead to cracks on the bridge deck, or longitudinal cracks at the connection between the abutment and the roadbed or the roadbed Concrete pavement, under the effect of uneven soil quality and temperature, may cause uneven subgrade support. On such a bridge, if the roadbed sinks, the pressure of the vehicle and the self-weight of the plate will act on the bridge together, and longitudinal cracks will occur. Currently, cracks are detected regularly, that is, cracks are measured at regular intervals to judge the develo...

Claims

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Application Information

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IPC IPC(8): G06F30/27G06N3/08G01B11/02G01B11/22G01N21/88G06F119/02G06F119/14
CPCG06F30/27G06N3/08G01N21/8851G01B11/02G01B11/22G06F2119/14G06F2119/02
Inventor 邹益群李卫平肖巩陈永生
Owner 广州万安建设监理有限公司
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