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External insulation filth status identification method based on visible-light images

A state identification and external insulation technology, applied in the direction of optical testing flaws/defects, etc., can solve the problems of power outages for maintenance and repair, limited processing time, and difficulty in wide application, etc., to achieve safe and reliable use, simple operation, and easy operation and maintenance low cost effect

Inactive Publication Date: 2013-11-27
TONGJI UNIV
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  • Summary
  • Abstract
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  • Application Information

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Problems solved by technology

Although the leakage current method can reflect more serious insulation faults, the time left for the operator to deal with after the insulation failure is judged is limited, so it is difficult to be widely used, and it requires a set of detection devices to be installed on each insulator string, which is too expensive , the maintenance and overhaul of the device needs to be carried out with power off

Method used

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  • External insulation filth status identification method based on visible-light images
  • External insulation filth status identification method based on visible-light images
  • External insulation filth status identification method based on visible-light images

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Embodiment Construction

[0020] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0021] Such as figure 1 As shown, the present invention provides a method for recognizing the pollution state of external insulation based on visible light images, comprising the following steps:

[0022] Step 1: Take a visible light image of the insulator. It is required that the insulator is clearly identifiable, and the color difference between the insulator and the background is as large as possible, and the influence of light on the image is minimized.

[0023] In step 2, the maximum entropy threshold method is used to segment the image, and the area of ​​the insulator disk is extracted for subsequent processing.

[0024] The maximum entropy threshold segmentation method finds the optimal threshold by analyzing the entropy of the gray histogram of the image, which maximizes the amount of information between the target and the backgroun...

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Abstract

The invention discloses an external insulation filth status identification method based on visible-light images. According to the method, images of an insulator are photographed, the images of the insulator are extracted by utilization of an image segmentation technology, related characteristic quantities are calculated and selected, and the insulator filth degree is determined by utilization of a distance classifier. The method has advantages comprising capability of detecting the insulator filth degree under a condition of no power cut, no need of installing any equipment in a pole or a tower, low operation cost and maintenance cost, simple operation, safe and reliable usage and high detection precision.

Description

technical field [0001] The invention relates to the field of maintenance of the running state of power transmission and transformation equipment, in particular to a method for identifying the pollution state of external insulation based on visible light images. Background technique [0002] During the operation of the transmission line, various particles or bird droppings such as dust, saline, and industrial smoke in the air will accumulate on the outer surface of the insulator to form a dirty layer, which will reduce the insulation strength of the insulator, and pollution flashover will easily occur, causing great economic losses. loss. If the degree and nature of pollution can be effectively measured, it is possible to avoid power outages caused by pollution flashovers. [0003] In order to accurately determine the cleaning or flushing cycle of insulators, the methods used at home and abroad to detect the pollution value of insulators mainly include the equivalent salt de...

Claims

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Application Information

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IPC IPC(8): G01N21/94
Inventor 金立军张达张文豪段绍辉姚森敬
Owner TONGJI UNIV
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