Land oil and gas pipeline defect diagnosis method based on hyperspectral remote sensing technology

A hyperspectral remote sensing and oil and gas pipeline technology, which is applied in the field of defect diagnosis of onshore oil and gas pipelines, and can solve problems such as leakage of onshore oil and gas pipelines

Active Publication Date: 2020-12-22
XI AN JIAOTONG UNIV
View PDF12 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0012] The invention provides a method for diagnosing defects of onshore oil and gas pipelines based on hyperspectral remote sensing technology...

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
  • Land oil and gas pipeline defect diagnosis method based on hyperspectral remote sensing technology
  • Land oil and gas pipeline defect diagnosis method based on hyperspectral remote sensing technology
  • Land oil and gas pipeline defect diagnosis method based on hyperspectral remote sensing technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] The detailed description will be given below in conjunction with the examples of oil and gas pipelines. However, the object detected by the method for diagnosing defects of onshore oil and gas pipelines based on hyperspectral remote sensing technology in the present invention is not limited to oil and gas pipelines.

[0052] A defect diagnosis method for onshore oil and gas pipelines based on hyperspectral remote sensing technology. Using hyperspectral remote sensing technology, the hyperspectral images of oil and gas pipelines generated by the spectral imager are input into the computer, and the oil and gas pipelines obtained by the experiment are analyzed by BP neural network and machine learning methods. Pipeline spectral data is marked and trained, hyperspectral images and spectral features of leaked and defective oil and gas pipelines are extracted, and oil and gas pipeline leakage areas and defect locations are finally determined.

[0053] Such as figure 1 As show...

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 provides a land oil and gas pipeline defect diagnosis method based on a hyperspectral remote sensing technology, and the method comprises the steps of inputting an oil and gas pipeline hyperspectral image generated by a spectral imager into a computer through the hyperspectral remote sensing technology, and marking and training oil and gas pipeline spectral data obtained through an experiment through a BP neural network and a machine learning method; extracting hyperspectral images and spectral characteristics of oil and gas pipelines with leakage, defects and the like, and determining leakage areas and defect positions of the oil and gas pipelines; grading the oil and gas pipeline surface data through an unsupervised machine learning entropy method, then performing automaticclassification according to defect levels through a BP neural network, and performing early warning display according to normality, faults and alarms. The invention solves the problem that the existing oil and gas pipeline leakage and defect area detection needs a large amount of manpower and is difficult to position, realizes artificial intelligent inspection of the land oil and gas pipeline byutilizing a hyperspectral remote sensing technology, and has the characteristics of good economy, wide application scene and wide application object.

Description

technical field [0001] The invention relates to the technical field of energy pipelines, in particular to a method for diagnosing defects of onshore oil and gas pipelines based on hyperspectral remote sensing technology. Background technique [0002] The total mileage of my country's onshore oil and gas pipelines has exceeded 12×10 4 km, oil and gas pipeline leakage is an important safety hazard for the smooth operation of long-distance pipelines. Most long-distance pipelines transport high-temperature, high-pressure, flammable, explosive, highly toxic and corrosive media. When there are defects in the pipeline, if they are not dealt with in time, it will cause serious environmental pollution and dangerous accidents. economic loss. Due to the influence of factors such as the service life of the pipeline and the surrounding environment, various defects will occur during the pipeline transmission process, such as pipeline perforation and surface corrosion, resulting in pipel...

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): G06T7/00G06N3/08G06N3/04G06K9/62G01N21/25
CPCG06T7/0004G06N3/084G06N3/088G01N21/25G06T2207/10032G06T2207/20081G06T2207/20084G06T2207/30168G01N2201/1296G06N3/045G06F18/2413G06F18/214
Inventor 孙丽琼王振兴肖光宇闫静耿英三刘志远王建华
Owner XI AN JIAOTONG 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