Surrounding rock grading method based on laser scanning technique

A surrounding rock grading and laser scanning technology, which is applied in the field of geotechnical engineering, can solve problems such as the inability to use three-dimensional laser and scanning technology, and achieve the effects of avoiding interference from human factors, strong anti-interference, and strong operability

Inactive Publication Date: 2016-08-10
HOHAI UNIV
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to overcome the deficiencies of the prior art, provide a method for grading surrounding rock based on laser scanning technology, solve the problem that the

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  • Surrounding rock grading method based on laser scanning technique
  • Surrounding rock grading method based on laser scanning technique

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Embodiment Construction

[0021] Embodiments of the present invention will be described below in conjunction with the accompanying drawings.

[0022] Such as figure 1 As shown, the present invention designs a method for grading surrounding rock based on laser scanning technology. The method of this embodiment is used in the classification of surrounding rock for tunnels. The method specifically includes steps:

[0023] Step 1. Use the 3D laser scanning equipment to scan the entire space of the surrounding rock of the tunnel, and perform and complete the initial settings before scanning; after the scanning of the surrounding rock is completed, obtain the 3D space point cloud data and laser echo intensity of the surrounding rock.

[0024] Step 2, calculating the number of rock mass joints and joint spacing from the three-dimensional space point cloud data of the surrounding rock to determine the integrity of the rock mass; the specific process is as follows:

[0025] (1) From the 3D spatial point cloud ...

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Abstract

The invention discloses a method for grading surrounding rocks based on laser scanning technology, comprising the steps of: scanning the surrounding rocks to obtain three-dimensional space point cloud data and laser echo intensity of the surrounding rocks; The number of rock mass joints and joint spacing are obtained by data calculation to determine the integrity of the rock mass; the uniaxial compressive strength of the rock mass is deduced from the laser echo intensity of the surrounding rock to determine the rock type; according to the determined rock mass integrity degree and rock type, and classify the surrounding rock in combination with the surrounding rock classification standard to obtain the surrounding rock classification grade. The invention can effectively and correctly realize the grading of the surrounding rock of the tunnel, which can be automatically realized through the calculation program, avoids the interference of human factors, can scan the surrounding rock in the whole space, has strong operability, strong anti-interference, high efficiency and convenience, and has wide applicability.

Description

technical field [0001] The invention relates to a surrounding rock classification method based on laser scanning technology, which belongs to the technical field of geotechnical engineering. Background technique [0002] The classification of the surrounding rock of the tunnel is the basis for selecting the construction method and the basis for determining the type and size of the lining structure and determining the structural load. According to the "Technical Regulations for Advanced Geological Prediction of Railway Tunnels", the basic classification of surrounding rock can be determined by the hardness of the rock and the integrity of the rock mass. The hardness of the rock can be determined by the uniaxial saturated compressive strength, and the integrity of the rock can be divided according to the integrity index. The traditional division method is realized based on indoor rock tests, and there are huge defects in test cost and efficiency. [0003] With the developmen...

Claims

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Application Information

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IPC IPC(8): G01N21/17
CPCG01N21/17
Inventor 许军才任青文沈振中
Owner HOHAI UNIV
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