A graphic image recognition method and a patrol system used in patrol inspection of electric power equipment

A technology for power equipment and graphic images, applied in the field of graphic image recognition methods and inspection systems, can solve the problems of high economic cost, unsatisfactory image recognition accuracy, time-consuming and laborious, etc. The effect of improving performance

Inactive Publication Date: 2019-02-19
GUANGYUAN POWER SUPPLY COMPANY OF STATE GRID SICHUAN ELECTRIC POWER
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is: the existing power equipment image recognition method needs to manually label a large number of sample data, which is time-consuming, laborious, high economic cost, and the recognition accuracy of the image is not very ideal. The present invention provides A graphic image recognition method and inspection system used in the inspection of electric power equipment to solve the above problems

Method used

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  • A graphic image recognition method and a patrol system used in patrol inspection of electric power equipment
  • A graphic image recognition method and a patrol system used in patrol inspection of electric power equipment
  • A graphic image recognition method and a patrol system used in patrol inspection of electric power equipment

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Embodiment

[0042] Such as figure 1 As shown, a graphic image recognition method used in power equipment inspection, the method includes the following steps:

[0043] S1: Collect sample image data of the same type of electrical equipment, divide the collected sample image data of the same type of electrical equipment into two groups, the ratio of the two groups is 1:9, label the group with less sample image data and Denote it as the labeled sample data set L, and record it as the unlabeled sample data set U without labeling the other group with more sample image data;

[0044] S2: Preprocessing the sample image data of the same type of electrical equipment described in step S1, removing noise from the image data, enhancing the details of the image data, and improving the signal-to-noise ratio of the image data;

[0045] S3: performing feature extraction on the preprocessed image data in step S2, extracting 3-dimensional features, image color features, image texture features and image sha...

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Abstract

The invention discloses a graphic image recognition method and a patrol system used in patrol inspection of electric power equipment, which solves the problems that the prior electric power equipmentimage recognition method needs to manually label a large amount of sample data, which is time-consuming, labor-consuming, high economic cost and unsatisfactory recognition accuracy. The invention usesa pattern image recognition method used in patrol inspection of electric power equipment, Firstly, the image data of the same type of power equipment sample is collected, annotated sample data and unannotated sample data are collected, Secondly, the sample data is preprocessed, Then feature extraction of image data is performed, and the binary classifier model is trained based on semi-supervisedactive learning training. At last, that train model is used to classify, and the real-time image data to be detect is inputted to recognize, and the normal or abnormal image data is judged, and the normal and abnormal conditions of the power equipment are obtained; As that invention utilize sa large amount of unlabeled data, only a small amount of data is required to be label, which saves time andlabor, and achieves good recognition rate under the same condition.

Description

technical field [0001] The invention relates to the technical field of power equipment inspection, in particular to a graphic image recognition method and inspection system used in power equipment inspection. Background technique [0002] In recent years, my country's national power grid has been gradually built and improved, and the total length and transmission capacity of transmission lines have increased year by year. The power distribution network mainly includes power generation equipment, power transmission equipment, power transformation equipment, power distribution equipment and power consumption equipment. The key to the distribution network process is equipment protection. In order to ensure the reliability of transmission lines and detect line damage and hidden dangers in time, the power sector must conduct regular inspections of transmission lines. The inspection of traditional transmission lines is mainly manual inspection. This method is restricted by the na...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/2413G06F18/253
Inventor 华国玉任志曾文达杨杰民仇荣葛冠呈赵剑锋徐钱平陈诚向洋罗宝杰贾顺虎朱宇曾祥赟李玉淑黄文辉苏伟曾文徐然彭勇
Owner GUANGYUAN POWER SUPPLY COMPANY OF STATE GRID SICHUAN ELECTRIC POWER
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