Surface deformation information extraction method based on point cloud data

A point cloud data and point cloud technology, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problem of ignoring the overall deformation state and local deformation details of deformed objects, failing to find a general model, and not making full use of 3D laser points Cloud data high spatial resolution characteristics and other issues

Active Publication Date: 2020-04-07
NANJING FORESTRY UNIV
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Problems solved by technology

[0004] The first method is similar to the traditional single-point deformation monitoring method, which ignores the overall deformation state and local deformation details of the deformable object, and does not make full use of the high spatial resolution characteristics of the 3D laser point cloud data.
The second method improves the accuracy of a single point cloud data by modeling the point cloud data, and can obtain deformation information with high spatial resolution. A general model for any deformable body, and the extracted deformation information is one-dimensional
[0005]

Method used

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  • Surface deformation information extraction method based on point cloud data
  • Surface deformation information extraction method based on point cloud data
  • Surface deformation information extraction method based on point cloud data

Examples

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Embodiment

[0094] This embodiment takes the deformation monitoring of a certain subway tunnel segment vault as an example to illustrate the specific implementation of the present invention, as figure 1 As shown, the present embodiment provides a method for monitoring subway tunnel deformation based on surface deformation information, comprising the following steps:

[0095]Step 1. Acquire the point cloud data of the deformed body of the subway tunnel: use the 3D laser scanner to collect the point cloud data of the two phases of the tunnel respectively, and use the total station to collect the coordinates of the center of the target;

[0096] Step 1 includes the following steps:

[0097] Step 1-1, 4 ground control points are arranged in the stable area at the end of the subway tunnel, and targets are respectively placed on the control points, such as figure 2 shown. Stick 4 targets on the tunnel walls, such as image 3 shown;

[0098] Step 1-2, use the 3D laser scanner to collect the...

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Abstract

The invention provides a surface deformation information extraction method based on point cloud data. In order to overcome the defects of an existing method for extracting deformation information based on point cloud data, deformation information between surfaces is extracted through curved surface matching operation, the characteristic of high spatial resolution of the point cloud is fully utilized, the extracted deformation information not only comprises three-dimensional displacement deformation, but also comprises torsional deformation of the surfaces, and a new thought and technical reference are provided for extracting the deformation information based on point cloud data.

Description

technical field [0001] The invention belongs to the field of deformation monitoring, in particular to a method for extracting surface deformation information based on point cloud data. Background technique [0002] The 3D laser scanning technology can quickly, efficiently and accurately obtain the 3D image data of the measurement target, and obtain the 3D coordinates of the solid surface points at millimeter sampling intervals. This technology breaks through the shortcomings of traditional single-point measurement and has been widely used in Deformation monitoring in areas such as building geometries, bridges, cultural heritage, landslides and dams. [0003] Using 3D laser scanning technology to obtain point cloud data of deformable objects, there are two main ways to extract deformation information based on point cloud data of deformable objects: 1) Select objects with obvious geometric features in the point cloud data of deformable objects (such as artificially laid marker...

Claims

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Application Information

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IPC IPC(8): G06K9/46G06K9/62
CPCG06V10/464G06V10/757
Inventor 陈健隋铭明史晓云
Owner NANJING FORESTRY UNIV
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