Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Method for identifying surface contamination condition of DC line insulator based on visible light image

A state recognition, DC line technology, applied in image analysis, image enhancement, image data processing, etc., can solve the problems of insulator surface insulation, waste of manpower, material resources, pollution flashover, etc. The effect of low cost, reduced labor cost and fast response speed

Inactive Publication Date: 2017-10-10
WUHAN UNIV
View PDF3 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At the same time, various current anti-pollution measures determine the cleaning cycle according to different pollution level areas, and implement cleaning and dust removal on the surface of insulators. However, practice has proved that this method can ensure the electrical insulation strength of insulators to a certain extent and reduce the occurrence of pollution flashover accidents. , but it is blind. Due to the lack of pollution information on the surface of insulators in operation, the lines that do not need to be cleaned are also cleaned, resulting in a lot of waste of manpower and material resources
[0003] In view of this, it is necessary to carry out monitoring and evaluation technology research on the surface insulation state of DC line insulators, and design a method for recognizing the surface pollution state of DC line insulators based on visible light images to replace the current situation where power maintenance personnel cannot timely and accurately grasp the surface insulation status of insulators. Conditions and pollution conditions that lead to pollution flashover accidents

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
  • Method for identifying surface contamination condition of DC line insulator based on visible light image
  • Method for identifying surface contamination condition of DC line insulator based on visible light image
  • Method for identifying surface contamination condition of DC line insulator based on visible light image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0025] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0026] please see figure 1 , figure 2 , image 3 . The invention provides a method for recognizing the pollution state on the surface of a DC line insulator based on a visible light image. Including obtaining and preprocessing the visible light image of the insulator; establishing the relationship between the pollution level and the visible light image of the insulator; identifying the pollution state of the insulator through the relationship between the pollution level and the visible light image. Acquire visible light images of insulators. Preprocess ...

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 method for identifying the surface contamination condition of a DC line insulator based on a visible light image. The method comprises the steps of preprocessing an image by adopting the visible light image segmentation algorithm, establishing the relationship between the contamination level and the visible light image, and identifying the contamination condition. According to the embodiment of the invention, the method comprises the steps of acquiring the visible light image of an insulator; preprocessing the image: including segmenting the image, removing the complex background of the image, filtering out the interference information, and ensuring the accuracy of the subsequent feature extraction and the contamination identification. The method specifically comprises the steps of converting an RGB model into an HSV color model; extracting the image color statistic features of the insulator, and evaluating the superiority-inferiority of each statistic feature according to a Fisher criterion function; forming characteristic vectors by adopting statistic features in accordance with requirements and inputting the characteristic vectors into an SVM classifier for classification; and outputting a contamination level. The method is suitable for all insulators having obvious differences from contamination color features. Therefore, the contamination levels of insulators can be effectively identified and the classification accuracy is high. The method provides a new technical means for the identification of the contamination condition.

Description

technical field [0001] The invention belongs to the technical field of circuit safety, and in particular relates to a method for recognizing the contamination state on the surface of DC line insulators based on visible light images. Background technique [0002] As we all know, with the rapid development of industry and agriculture in my country, air pollution is becoming more and more serious, the amount of dustfall is increasing, and acidic wet deposition is frequent, and the surface pollution of insulators in operation is intensified. (Fog, dew, raindrops and acidic wet deposition) The moisture attached to the surface of the porcelain insulator exists in the form of a water film, the salt substances in the dirt dissolve in the water, the surface conductance increases, and the electric strength of the insulator drops sharply, causing the surface The formation of discharge or even pollution flashover accidents seriously threatens the reliable operation of the power grid. The...

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): G06T7/00G06T7/194G06T7/11G06K9/62G01R31/12
CPCG06T7/0008G06T7/11G06T7/194G01R31/1218G06T2207/10024G06T2207/30108G06F18/2132G06F18/2413
Inventor 王基映付天乙金铭
Owner WUHAN 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
Eureka Blog
Learn More
PatSnap group products