Tunnel face analysis method based on image data

An analysis method and image data technology, applied in image analysis, image data processing, image enhancement, etc., can solve problems such as poor effect, long feedback time, and low work efficiency, so as to reduce the difficulty of sketching, work time, and field work The collection is simple and safe, and the effect of reducing field time

Pending Publication Date: 2021-01-12
仇文革 +1
View PDF0 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Moreover, the current on-site palm face sketching is mainly completed by naked eye observation, manual sketching, and paper records. The work efficiency is low, the analysis accuracy is poor, the amount of information is limited, and the feedback time is long.
[0004] At present, the techniques for face analysis of images generally use tra

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 face analysis method based on image data
  • Tunnel face analysis method based on image data
  • Tunnel face analysis method based on image data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0061] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only It is a part of the embodiments of this application, not all of them. The components of the embodiments of the application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Accordingly, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in...

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 relates to a tunnel face analysis method based on image data, and the method comprises the steps of carrying out the quality judgment of a collected face image, and carrying out the three-dimensional reconstruction of a qualified face image, and obtaining a three-dimensional point cloud model; acquiring a tunnel face area and two-dimensional joint data in the two-dimensional image; extracting structural plane features of the image by using a neural network model, and processing the structural plane feature image to extract structural plane line data; and carrying out combined analysis on the structural plane projected to the two-dimensional image by the three-dimensional analysis and the structure extracted by the neural network, obtaining all identified tunnel face joints byclustering and grouping, and drawing a tunnel face sketch map by utilizing a computer. The invention has the advantages that geological analysis is carried out based on the geometric structure of thetunnel face, and meanwhile ultra-short-distance prediction is carried out on the front tunnel face. By combining three-dimensional geological information and by means of deep learning and image recognition technologies, a structural plane is identified, and sketch difficulty and operation time are reduced.

Description

technical field [0001] The invention relates to the technical field of tunnel geological prospecting, in particular to a tunnel face analysis method based on image data. Background technique [0002] "Tunnel excavation, geology first", the primary task of tunnel safety control is to quickly, accurately, comprehensively and timely grasp the tunnel geology. Relevant regulations require that during the tunnel construction process, geological survey, advanced geological forecast and geological sketch of the tunnel face will be carried out in sequence until the tunnel is penetrated. However, due to the limitation of survey technology and funds, the geological survey work is relatively rough, and geological omissions occur from time to time, especially in long tunnels. The tunnel face geological information revealed by tunnel excavation is the most accurate and intuitive, which can be used for comprehensive nowcasting of fault fracture zones, large-scale landslides, and coal and ...

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
IPC IPC(8): G06T7/00G06T7/11G06T17/20G06K9/62G06N3/04G06N3/08
CPCG06T7/0004G06T7/11G06T17/20G06N3/084G06T2207/10028G06T2207/30132G06N3/045G06F18/23213
Inventor 仇文革程云建白衡斌李斌
Owner 仇文革
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