Unlock instant, AI-driven research and patent intelligence for your innovation.

A tunnel detection method based on binocular vision

A technology of binocular vision and detection method, which is applied in the directions of radiation pyrometry, fluid tightness test, machine/structural component test, etc. It can solve the problem of water leakage in the tunnel wall, inability to accurately judge the running state of cables, tunnel Problems such as the impact of normal operation, to achieve the effect of good extraction effect

Active Publication Date: 2019-10-08
HUAZHONG UNIV OF SCI & TECH
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In road tunnels, railway tunnels and cable tunnels, since the tunnels are located underground or in mountains, the tunnel wall is prone to water leakage, and at the same time, the cables laid in the tunnels will also experience high temperature and overheating. normal operation of the
At present, the main detection method is manual regular inspection, but manual inspection cannot accurately judge the operation status of the cable, and it is also difficult to analyze and extract the characteristics and area of ​​the tunnel water leakage area, and the speed of manual inspection is slow and it is difficult to achieve rapid detection

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
  • A tunnel detection method based on binocular vision
  • A tunnel detection method based on binocular vision
  • A tunnel detection method based on binocular vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0035] refer to Figure 1 to Figure 3 , a tunnel detection method based on binocular vision, the binocular vision is a combination of infrared thermal imaging and visible light imaging, comprising the following steps:

[0036] 1) Input the high temperature alarm threshold temperature, and establish the infrared thermal image and visible light data model of the normal non-leakage wall. The specific ...

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 present invention belongs to the field of non -destructive detection technology, and a tunnel detection method based on the two -eyed vision is released, including the following steps: 1) Enter the temperature of high temperature alarm threshold temperature, and establish the infrared thermal image and visible light data that establish a normal without leakage wall surface.Model; 2) Take the infrared thermal image and visible light thermal image map of the wall of the tunnel; 3) The temperature statistics of the infrared thermal image is determined whether there is a high temperature area for high temperature alarm;Like the leakage area in the figure; 5) the leakage area of the infrared thermal image and the visible light thermal image extracting area is extracted as the final leakage area extraction figure;Water area.The present invention uses both infrared thermal imaging technology and visible light imaging technology to combine the advantages of the two to achieve better leakage area extraction effects.

Description

technical field [0001] The invention belongs to the technical field of non-destructive testing, and more particularly, relates to a tunnel detection method. Background technique [0002] In road tunnels, railway tunnels and cable tunnels, because the tunnel is underground or in a mountain, the tunnel wall is prone to seepage of water, and the cables laid in the tunnel will also experience high temperature and overheating, which will affect the tunnel. serious impact on normal operation. At present, the main detection method is manual regular inspection, but manual inspection cannot accurately judge the running state of the cable, and it is also difficult to analyze and extract the characteristics and area of ​​the leakage area of ​​the tunnel, and the speed of manual inspection is slow and it is difficult to achieve rapid detection. . SUMMARY OF THE INVENTION [0003] In view of the above defects or improvement requirements of the prior art, the present invention provide...

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 Patents(China)
IPC IPC(8): G01J5/00G01J5/48G01M3/00G01M3/04G01B11/28
CPCG01B11/28G01J5/00G01J5/0096G01J5/48G01M3/002G01M3/04G01J2005/0077
Inventor 朱福龙王烽人施浪蔺欣欣潘永军王淼操刘肖剑
Owner HUAZHONG UNIV OF SCI & TECH