Detection method for filthy conditions of insulator images

A state detection and insulator technology, applied in measuring devices, optical testing of flaws/defects, material analysis through optical means, etc., can solve problems such as lack of judging standards, low safety, and cumbersome detection steps

Inactive Publication Date: 2016-03-30
CHENGDU TOPPLUSVISION TECH CO LTD
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to propose a method for detecting the pollution state of insulator images, which solves the problems of cumbersome detection steps, low safety, and non-adaptiveness of the evaluation criteria in the detection scheme of the pollution state of insulator images in the traditional technology

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  • Detection method for filthy conditions of insulator images
  • Detection method for filthy conditions of insulator images
  • Detection method for filthy conditions of insulator images

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Embodiment Construction

[0047] The present invention aims to propose a method for detecting the dirty state of insulator images, which solves the problems of cumbersome detection steps, low safety, and non-adaptive evaluation criteria in the detection scheme of dirty state of insulator images in the traditional technology.

[0048] In terms of specific implementation, the method for detecting the pollution state of the insulator image in the present invention includes the following steps:

[0049] 1. Train the insulator image pollution detection classification model, the specific steps are as follows:

[0050]1) Classification of pollution levels: the present invention divides the pollution levels of insulator surfaces into four categories, namely: clean surface, light pollution, moderate pollution and heavy pollution.

[0051] 2) Classifier model training: The present invention uses a support vector machine classification algorithm to detect the pollution state of the insulator image, and uses a "on...

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Abstract

The invention relates to a detection method for filthy conditions of insulator images and belongs to the field of electric transmission line equipment operation condition overhaul and computer vision. By the aid of the detection method for the filthy conditions of the insulator images, the problems that detection steps are cumbersome, safety is low, and evaluation criteria lack adaptivity in detection schemes for the filthy conditions of the insulator images in the traditional technology are solved. According to the method, the insulator contamination degree is detected by training condition detection models of three sub classifiers of the insulator images through a robot learning method according to different color characteristics of the insulator images under different contamination conditions. The filthy conditions of insulators can be analyzed accurately, reliably, quickly and effectively, so that a basis is provided for cleaning insulator filth in time, and accidents of pollution flashover power outage of the insulators are reduced. The detection method is suitable for detecting the filthy conditions of the insulator images quickly and accurately.

Description

technical field [0001] The invention relates to a pollution state detection method based on an insulator image, which belongs to the fields of power transmission line equipment operation state maintenance and computer vision. Background technique [0002] As a special insulation control, insulators play an important role in preventing current from returning to the ground and supporting wires, making them one of the essential equipment in high-voltage transmission lines. The working condition of the insulator will directly affect the use and operation life of the transmission line. However, since insulators are usually installed in the high-altitude open-air environment, they are often adhered to by industrial dust, bird droppings and other pollution during use, which reduces the insulation effect of the insulator and is prone to pollution flashover, resulting in major economic losses. In addition, the degree of pollution of the insulator will directly determine the measures...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/94
CPCG01N21/94G01N2021/8883G01N2021/8887
Inventor 徐一丹周剑陆宏伟龙学军王时丽
Owner CHENGDU TOPPLUSVISION TECH CO LTD
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