Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Tunnel back-break detection method based on laser-point cloud

A detection method and laser point cloud technology, which are applied in earth-moving drilling, mining equipment, mining equipment, etc., can solve problems such as inability to adapt to non-circular tunnels, inability to extract tunnel feature cross-section points, inability to calculate over and under excavation, etc. , to achieve the effect of comprehensive and detailed results, satisfactory measurement accuracy and high precision

Active Publication Date: 2017-02-15
CHINA RAILWAY DESIGN GRP CO LTD
View PDF5 Cites 45 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Only the edge line after the projection of the circular tunnel has a symmetrical structure, so this method is not suitable for non-circular tunnels;
[0006] (2) This method extracts the section points according to the set angle interval, and cannot extract the characteristic section points of the tunnel
This type of method cannot calculate the overbreak and underbreak of feature points of rectangular, horseshoe-shaped and other tunnel types, and the calculation of overbreak and underbreak of these feature points is very important

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 back-break detection method based on laser-point cloud
  • Tunnel back-break detection method based on laser-point cloud
  • Tunnel back-break detection method based on laser-point cloud

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0088] Experiment overview

[0089] The experimental data collection chooses RIEGL VZ-1000 ground laser scanner, the absolute accuracy of this equipment is 8mm at 100 meters, and the relative accuracy is 5mm; in the maximum sampling frequency mode, the scanning frequency of 1.22 million points / second can be realized; When the reflectivity of the measured object is greater than 20%, it can scan at a distance of up to 1400 meters. A subway under construction in Tianjin was selected as the experimental area, and the Leica 1201 automatic collimation total station was used to measure the coordinates of the scanner target. Through the method of target splicing, the splicing of multi-station scanning data was realized. Using 4 targets for splicing, the maximum error No more than 3mm. The distance between adjacent stations in the tunnel is controlled at 30 meters, and the average distance between adjacent points in the middle area of ​​adjacent stations is about 10mm.

[0090] Secti...

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 discloses a tunnel back-break detection method. The method includes the following steps that S1, according to center line data of a tunnel line, the thickness value and width value of a section are set, and tunnel section point cloud automatic partitioning is carried out; S2, the partitioned section point cloud is projected to the XOY plane, and a convex hull extraction method is adopted for carrying out automatic extraction of a section point cloud contour lines to obtain a measured section line; and S3, the tunnel design section is utilized, the distances between feature points of the tunnel design section and the measured section line and the locations of the feature points are calculated, and back-break automatic detection is carried out. Tunnel back-break detection is carried out by utilizing three-dimensional laser-point cloud data, and rapid partitioning of the section point cloud is achieved by adopting radius searching and a rectangular partitioning algorithm; on the basis of back-break area statistics of a polygonal intersection algorithm, the method is suitable for back-break detection of various types of tunnels; and compared with a traditional total-station section measurement mode, the detection efficiency is high, results are comprehensive and full and accurate, and the measurement precision meets the back-break detection requirement.

Description

technical field [0001] The invention relates to the field of tunnel overbreak and undercut detection, in particular to a method for tunnel overbreak and underbreak detection using a three-dimensional laser scanner and a laser point cloud processing algorithm thereof. Background technique [0002] The tunnel structures of highways, railways and urban rail transit projects have different cross-sectional design shapes. Tunnel construction methods include mining method, shield method, open-cut method, underground method, etc., and their construction techniques are also quite different. Regardless of the structure type and construction method of the tunnel, due to errors in the measurement and construction process, there will be inconsistencies in the shape and position of the measured tunnel section and the designed section. For tunnels using mining method, open cut method or underground excavation method, it is necessary to conduct over- and under-excavation detection during t...

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): E21F17/00
CPCE21F17/00
Inventor 许磊王长进赵海李亚辉石德斌谭兆林勇威康占龙李群科张志刚
Owner CHINA RAILWAY DESIGN GRP CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products