A method for monitoring the abnormal state of tunnels based on unmanned aerial vehicles

An abnormal state and unmanned aerial vehicle technology, applied in the field of unmanned aerial vehicles, can solve the problems of life safety threats, labor costs, and poor scalability of inspection personnel, so as to solve environmental monitoring problems in tunnels, improve efficiency, and reduce danger. Effect

Active Publication Date: 2019-07-26
BEIHANG UNIV
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The traditional way is to monitor by manpower, which not only consumes manpower cost, but also may pose a threat to the life safety of inspectors in some dangerous environments
If the environment in the tunnel is monitored by installing a fixed high-definition camera, not only the cost is high, but also the later expansion is relatively poor

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 method for monitoring the abnormal state of tunnels based on unmanned aerial vehicles
  • A method for monitoring the abnormal state of tunnels based on unmanned aerial vehicles
  • A method for monitoring the abnormal state of tunnels based on unmanned aerial vehicles

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] The present invention will be further described in detail below in conjunction with the accompanying drawings.

[0052] The invention provides a tunnel abnormal state monitoring method based on an unmanned aerial vehicle device, which realizes the autonomous monitoring of the environment in the tunnel by an unmanned aerial vehicle.

[0053] The tunnel abnormal state monitoring method mainly includes: using a high-definition camera to photograph the environment in the tunnel, including rail status, obstacles in the tunnel, and tunnel cracks; Focus on shooting in abnormal environments, and customize the drone's autonomous conflict resolution strategy after encountering obstacles. Firstly, the high-brightness supplementary light source is used to solve the problem of no light or very dark light in the tunnel. At the same time, the combination of optical flow sensor and three-axis gimbal keeps the high-definition camera stable, so as to realize the normal shooting of the en...

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 abnormal state monitoring method and an unmanned aerial vehicle device, and belongs to the technical field of unmanned aerial vehicles. The device comprises a 550-axisdistance unmanned aerial vehicle and a microcomputer, wherein the microcomputer is connected with the unmanned aerial vehicle, the unmanned is used for shooting and recording an environment in a tunnel in the whole journey after entering the tunnel, monitoring whether an obstacle exists obliquely above a vehicle head, in a horizontal direction and obliquely blew the vehicle head or not in real time and measuring distance between the unmanned aerial vehicle and the obstacle if the obstacle exists obliquely above a vehicle head, in a horizontal direction and obliquely blew the vehicle head, theunmanned aerial vehicle is in a conflict state when the distance between the unmanned aerial vehicle and an arbitrary obstacle is smaller than or equal to safe radius of the unmanned aerial vehicle,the microcomputer is used for calculating and moving the position of the unmanned aerial vehicle again until the unmanned aerial vehicle flies forwards and cannot be collided, the unmanned aerial vehicle continues to fly forwards and continues to shoot the environment in the tunnel until the unmanned aerial vehicle passes through the tunnel, and the unmanned aerial vehicle cannot passes through the tunnel and returns to an entrance according to an original line if the obstacle is too large or too many obstacles exist. By the device, the unmanned aerial vehicle is effectively enabled to fly safely, the accuracy is high, the labor cost is reduced, and the monitoring efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of unmanned aerial vehicles, and relates to a method for monitoring the environment in a tunnel. Specifically, it is a tunnel abnormal state monitoring method based on unmanned aerial vehicles. Background technique [0002] In recent years, drone technology has continued to develop, thereby broadening the application field of drones, and the use of drones in society has also been continuously improved. Drones have gradually played an important role in military, commercial and civilian uses. [0003] Environmental monitoring in the tunnel is a very important task, including the monitoring of obstacles in the tunnel, the monitoring of the use status of the rails, and the monitoring of whether there are cracks in the tunnel, etc. [0004] The traditional method is to monitor by manpower, which not only consumes manpower cost, but also may pose a threat to the life safety of inspectors in some dangerous environ...

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): G01C11/04G05D1/10
CPCG01C11/04G05D1/101
Inventor 曹先彬杜文博徐亮李宇萌刘瑜
Owner BEIHANG UNIV
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