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

An oil and gas pipeline inspection method based on an unmanned aerial vehicle

A technology for oil and gas pipelines and unmanned aerial vehicles, which is applied in the field of aerial image processing to achieve the effects of high intelligence, high positioning accuracy and high efficiency

Active Publication Date: 2019-04-16
夏桂松
View PDF10 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In view of the above defects or improvement needs of the prior art, the purpose of the present invention is to provide a UAV-based oil and gas pipeline inspection method, aiming at quickly obtaining the precise geographical location of abnormal targets around the oil and gas pipeline without manual intervention Location

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
  • An oil and gas pipeline inspection method based on an unmanned aerial vehicle
  • An oil and gas pipeline inspection method based on an unmanned aerial vehicle
  • An oil and gas pipeline inspection method based on an unmanned aerial vehicle

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, 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 constitute a conflict with each other.

[0018] Such as figure 1 As shown, the embodiment of the present invention proposes a UAV-based oil and gas pipeline inspection method, and the specific steps are as follows:

[0019] Step S1, the UAV is equipped with a high-resolution imaging system and a high-precision positioning device for low-altitude aerial photography, and obtains continuous oil and gas pipeline images and POS information...

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 an oil and gas pipeline inspection method based on an unmanned aerial vehicle, and the method comprises the steps: carrying a high-resolution imaging system and a high-precision positioning device by the unmanned aerial vehicle to carry out low-altitude aerial photography, and obtaining continuous oil and gas pipeline images and the position information of the unmanned aerial vehicle; Performing abnormal target detection by adopting a target detection algorithm based on a neural network to obtain an abnormal target; And carrying out abnormal target positioning by adopting an algorithm based on a motion recovery structure. The oil and gas pipeline inspection method provided by the invention is relatively high in intelligent degree, an automatic target detection algorithm is adopted, and target positioning can be realized without adding additional ground control points; The oil and gas pipeline inspection method provided by the invention is relatively high in efficiency; In the abnormal target detection stage, the possible position of an abnormal target is effectively determined through an image segmentation algorithm based on SIFT and Graph Cut, and in the abnormal target positioning stage, under the condition that dense reconstruction, DEM generation and other steps in a traditional algorithm are omitted, high positioning precision can still be obtained.

Description

technical field [0001] The invention belongs to the technical field of aerial image processing, and more specifically relates to an oil and gas pipeline inspection method based on an unmanned aerial vehicle. Background technique [0002] As a national energy strategic channel, the safety of oil and gas pipelines is extremely important. In the actual operation process, factors such as natural and geological disasters, third-party construction, and pipeline occupation will bring potential huge harm to the safe operation of the pipeline. Once the oil pipeline leaks or explodes, the lives and property safety of the people will be greatly threatened. Therefore, frequent and effective inspections of oil and gas pipelines and timely removal of factors that threaten the safety of oil pipelines are very important in the protection of oil pipeline operations. [0003] The traditional oil pipeline inspection method mainly relies on manual inspection. Usually, the pipeline company di...

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): G06T7/70G06N3/04G06K9/62G06T7/11G06K9/46
CPCG06T7/11G06T7/70G06V10/462G06N3/045G06F18/23213
Inventor 张驰卢雲成张恒
Owner 夏桂松
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