Automatic recognition method of tunnel leaking water defect

A technology for automatic identification and water leakage, applied in image data processing, instruments, calculations, etc., can solve the problem of low automatic identification accuracy and achieve the effect of improving efficiency and accuracy

Active Publication Date: 2018-06-29
SHANGHAI GEOTECHN INVESTIGATIONS & DESIGN INST
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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for automatic extraction and identification of tunnel water leakage based on three-dimensional laser scannin

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  • Automatic recognition method of tunnel leaking water defect
  • Automatic recognition method of tunnel leaking water defect
  • Automatic recognition method of tunnel leaking water defect

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Embodiment Construction

[0016] The present invention is an automatic extraction and recognition method for tunnel seepage water based on three-dimensional laser scanning point cloud, and the main steps are as follows:

[0017] (1) Use 3D laser scanning technology to obtain the point cloud information of the shield tunnel, including point cloud position information (x, y, z) and grayscale information (i), where the X-axis points to the horizontal direction and the Y-axis points to the tunnel axis direction, The Z axis points to the vertical direction. In any section perpendicular to the axis of the tunnel, the y coordinates of all points in the section are consistent, so the point cloud coordinates of each point in the section are abbreviated as (x, z).

[0018] (2) if figure 1 As shown, each section is divided into circular arc segments according to the characteristics of the tunnel segment assembly structure. There are six segments in total. The central angles are 16°, 4×65°, and 84° respectively, ...

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Abstract

The invention provides an automatic recognition method of a tunnel leaking water defect. The automatic recognition method includes the following steps that (1), point cloud information of a tunnel isacquired through a three-dimensional laser scanner, wherein the point cloud information comprises point cloud position information (x, y and z) and gray values (i); (2), each fracture surface on the axis of the tunnel is subjected to segmented arc fitting, and point cloud beyond the range of fitting residuals, namely point cloud of ancillary facilities in the tunnel is extracted, the point cloud is recorded in a set A, and a complete tunnel image is obtained; (3), according to the characteristics that the gray value of leaking water on the tunnel image is small, the gray value of the point cloud in the set A is set as the maximum value of all the point cloud gray values, and the purpose of removing interference of the ancillary facilities in the tunnel can be achieved; (4), interferent affecting image judgment of the tunnel leaking water defect is further removed through an edge detection algorithm; (5), leaking water defect points are automatically recognized on the tunnel image obtained after image processing.

Description

technical field [0001] The invention belongs to the technical field of tunnel engineering, in particular to an automatic identification method for tunnel water leakage diseases. Background technique [0002] After the completion of the urban subway tunnel, due to the influence of many factors such as geological conditions, construction along the line, train vibration and structural aging, the subway tunnel is prone to deformation, which brings serious safety hazards to the safe operation of the tunnel structure. Inside the tunnel, water leakage is the main apparent defect of tunnel structural deformation, which directly reflects the instability of the tunnel segment assembly structure and can provide a warning for timely reinforcement and correction of the tunnel. [0003] At present, manual inspection is mainly used for tunnel water leakage detection, but it is time-consuming and labor-intensive, and there may be cases of missing inspections. Therefore, in order to solve t...

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Application Information

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IPC IPC(8): G06T7/13G06T7/136
CPCG06T2207/30108G06T7/13G06T7/136
Inventor 褚平进高志强付和宽袁钊刘飞王维
Owner SHANGHAI GEOTECHN INVESTIGATIONS & DESIGN INST
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