Tunnel advanced predicting method based on three-dimensional reconstruction technology

A technology of advanced forecasting and three-dimensional reconstruction, which is applied in the field of advanced forecasting of tunnels based on three-dimensional reconstruction technology, can solve the problems of infrared distance limitation and inconvenientness, and achieve the effect of avoiding dangerous situations

Inactive Publication Date: 2019-04-23
WUHAN ENG SCI & TECH RESINST
View PDF4 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The current mainstream method is mainly the 3D reconstruction based on the depth camera. However, although the 3D reconstruction technology based on the depth camera has high precision, it is limited by the infrared distance. From the perspective of practical application, it is not convenient enough.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Tunnel advanced predicting method based on three-dimensional reconstruction technology
  • Tunnel advanced predicting method based on three-dimensional reconstruction technology
  • Tunnel advanced predicting method based on three-dimensional reconstruction technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0016] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0017] A kind of tunnel advance prediction method based on three-dimensional reconstruction technology designed by the present invention, it comprises the following steps:

[0018] Step 1: Before the excavation of the shield machine, fix the depth camera (fixed with a tripod) on the tunnel ground behind the shield machine, such as figure 1 As shown, the depth camera is used to collect the joint face rock mass information, the face rock mass color information and the face rock mass space coordinate information inside the tunnel for the first time before the excavation of the shield machine. The joint information of the tunnel face rock mass, the color information of the tunnel face rock mass and the space coordinate information of the tunnel face rock mass are collected for the second time after the distance is reached, and the tunnel face rock m...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention designs a tunnel advanced predicting method based on a three-dimensional reconstruction technology. The tunnel advanced predicting method comprises the following steps: step 1, collecting tunnel face rock mass joint information, tunnel face rock mass color information and tunnel face rock mass spatial coordinate information of surfaces corresponding to a shield tunneling machine before digging, forward 5 meters and further forward 5 meters by three times; step 2, calculating three-dimensional tunnel face rock mass joint information, three-dimensional tunnel face rock mass color information and three-dimensional tunnel face rock mass spatial coordinate information; step 3, reconstructing the surface of a tunnel face to obtain a three-dimensional model of the tunnel face surface; and step 4, obtaining a prediction geological model of a non-excavated rock mass in front. The tunnel advanced predicting method involved in the invention has the advantages that the progress of tunnel construction can be timely and reasonably arranged and an established scheme can be corrected; and in addition, the occurrence of dangerous circumstance can be effectively avoided.

Description

technical field [0001] The invention relates to the technical field of tunnel construction, in particular to a tunnel advance prediction method based on three-dimensional reconstruction technology. technical background [0002] In tunnel construction, the traditional detection method mainly relies on on-site manual measurement. This method is inefficient, laborious and time-consuming, and the detection data cannot meet the requirements of construction detection. [0003] 3D reconstruction technology is a technology that has developed rapidly in recent years. It can reconstruct the digital 3D model of real objects and is widely used in engineering inspection, biomedicine, cultural relic protection, prototype design and other fields. [0004] The traditional 3D reconstruction technology mainly relies on expensive 3D scanning equipment, and the operation process is relatively complicated. In recent years, due to the development of computer hardware computing capabilities, espe...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G01V8/10
CPCG01V8/10
Inventor 周超金彦刘玉叶辉胡满张佩
Owner WUHAN ENG SCI & TECH RESINST
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap