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

Multispectral image reconstruction method for online detection of electric equipment

A multi-spectral image and electrical equipment technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as incomplete equipment outline texture, electrical equipment failure, misdiagnosis and missed diagnosis, and reduce information redundancy. Algorithm Comprehensive effect of stability and failure analysis

Active Publication Date: 2018-06-29
TONGJI UNIV
View PDF3 Cites 13 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although there are many types of electrical equipment in the power grid, most of the defects or faults have the characteristics of incomplete contour texture, high temperature rise, or discharge. These defects are captured by different imaging devices during the line inspection process. Making inferences based on one-sided parameter information often leads to misdiagnosis and missed diagnosis of electrical equipment failures

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
  • Multispectral image reconstruction method for online detection of electric equipment
  • Multispectral image reconstruction method for online detection of electric equipment
  • Multispectral image reconstruction method for online detection of electric equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0041] Such as figure 1 As shown, a multi-spectral image reconstruction method for on-line detection of electrical equipment, through the infrared image 1 and visible light image 2 of the same external insulation equipment, the visible light and infrared image registration 4 based on contour information, and through the visible light image 2 and the ultraviolet image 3 carry out the registration of visible light and ultraviolet images based on SIFT (Scale-invariant feature transform) features 5, and extract the characteristic regions of the infrared images after registration 12 and the characteristic regions of the ultraviolet images after registration respectively 13. Effectively superimpose the extracted feature region on the visible light image to realize multispectral image reconstruction of electrical equipment14.

[0042] Visible light and infrared image registration based on contour information 4 includes three parts: visible light and infrared image contour extraction ...

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 relates to a multispectral image reconstruction method for online detection of electric equipment. The method comprises the following steps of: respectively acquiring an infrared image,a visible image and an ultraviolet image; carrying out registration on the infrared image and the visible image, and extracting a registered infrared image feature area; carrying out registration on the visible image and the ultraviolet image, and extracting a registered ultraviolet image feature area; and carrying out multispectral image reconstruction by utilizing the visible image, the registered infrared image feature area and the registered ultraviolet image feature area. compared with the prior art, the method has the advantages of being low in information redundancy, beneficial for locating fault positions more accurately and strong in algorithm reliability.

Description

technical field [0001] The invention relates to an online detection method for electrical equipment, in particular to a multispectral image reconstruction method for online detection of electrical equipment. Background technique [0002] As the scale of my country's power grid continues to expand, the requirements for the safety and reliability of power grid operation are also getting higher and higher. Long-term operation of electrical equipment will cause wear, oxidation, corrosion, aging, pollution and defects caused by external forces. If they cannot be checked in time, they will develop into faults. Therefore, the operation status detection and fault diagnosis of electrical equipment are still important research contents for smart grid construction. [0003] The popularization and application of unmanned aerial vehicles (UAV) technology on power inspection lines has made image recognition technology develop rapidly in the field of fault detection and diagnosis of electr...

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 Applications(China)
IPC IPC(8): G06T3/00G06T7/33G06K9/62G06K9/00
CPCG06T7/337G06T2207/10048G06T2207/20221G06V20/194G06V20/13G06F18/251G06T3/147
Inventor 金立军艾建勇马利戴伟伟
Owner TONGJI UNIV
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