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

Image-processing-based insulator defect detection method and system

A defect detection and image processing technology, applied in image data processing, image enhancement, image analysis, etc., can solve the problems of inconvenience and inaccuracy of insulator fault detection, and achieve the effect of fast speed, simple operation and easy realization.

Active Publication Date: 2017-05-31
QINGYUAN POWER SUPPLY BUREAU OF GUANGDONG POWER GRID CO LTD
View PDF7 Cites 44 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Based on this, it is necessary to provide an insulator defect detection method and system based on image processing for the inconvenient and inaccurate technical problems of insulator fault detection, so as to improve the convenience and accuracy of insulator fault 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
  • Image-processing-based insulator defect detection method and system
  • Image-processing-based insulator defect detection method and system
  • Image-processing-based insulator defect detection method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] The specific implementation of the industry electricity demand forecasting method and system of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0022] refer to figure 1 , figure 1 Shown is a flowchart of an insulator defect detection method based on image processing according to an embodiment.

[0023] The insulator defect detection method based on image processing comprises the following steps:

[0024] S101, converting the image containing the insulator from the RGB color space to the HSI color space, segmenting the hue and saturation channels respectively to obtain a single-channel image of the hue component and the saturation component, and then intersecting the single-channel images obtained by the segmentation, Extract the insulator profile image;

[0025] S102, performing morphological erosion, dilation, and region growing operations on the insulator profile image with an ellipse as a structural element,...

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 an image-processing-based insulator defect detection method and system. An image including an insulator is transformed from an RGB color space into an HIS color space, segmentation is carried out to obtain single-channel images of a tone component and a saturability component; intersection taking is carried out to extract an insulator contour, and morphological corrosion, dilation operation, regional growth, and connection region marking are carried out on an operator using an oval as a structural element in the insulator contour image; according to areas of all connection regions, a non-insulator image is rejected from the image obtained after the regional growth operation to obtain a pseudo standard binary image; and an image obtained by a closed operation is compared with the pseudo standard binary image and an insulator defect is determined based on the comparison result. The detection method is easy to implement; the operation becomes simple; and the operation speed increases.

Description

technical field [0001] The invention relates to the technical field of power equipment monitoring, in particular to an insulator defect detection method and system based on image processing. Background technique [0002] Insulators are special insulation controls that can play an important role in overhead transmission lines. Insulators on high-voltage power lines are multiple disk-shaped insulators attached to one end of the wire connection tower, usually made of glass or ceramics. Insulators are damaged due to various electromechanical stresses caused by changes in the environment and electrical load conditions, which will damage the service life and operating life of the entire line. Therefore, the insulator detection of transmission lines is a very important task for power maintenance personnel. [0003] Conventional transmission line insulator inspection methods mostly require maintenance personnel to go to the site to observe and identify whether the insulator is dama...

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): G06T7/00G06T7/13G06T7/136G06T7/155G06T7/187G06T7/194
CPCG06T7/001G06T2207/10024G06T2207/20036
Inventor 苏超胡金磊王丛尹祖春甄鸿俊欧阳业
Owner QINGYUAN POWER SUPPLY BUREAU OF GUANGDONG POWER GRID CO LTD
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