Application of visual information to electrical equipment monitoring

A technology for electrical equipment and visual information, applied in the direction of instruments, character and pattern recognition, computer parts, etc., to achieve the effect of high detection accuracy and automation, good detection effect, and safe operation.

Inactive Publication Date: 2017-01-25
XIHUA UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The application of visual information in power equipment monitoring is a non-contact power equipment fault detection method. This method overcomes the shortcomings of traditional manual detection methods and contact detection methods. It has real-time, dynamic, low cost, and high detection accuracy. Features such as high degree of intelligence

Method used

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  • Application of visual information to electrical equipment monitoring

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Embodiment Construction

[0029] The embodiments of the present invention will be further described below in combination with the specific implementation solutions of the method.

[0030] Such as figure 1 As shown, the application of the visual information based on the present invention in power equipment monitoring is characterized in that it first collects images of power equipment, establishes an image database of power equipment, then performs preprocessing such as denoising and enhancement on the images, and preprocesses the preprocessed images Carry out image segmentation, then extract image features, classify and identify images, and finally determine whether there is a fault in the electrical equipment and the type of fault; the steps are as follows:

[0031] A. Use industrial cameras to collect images of power equipment;

[0032] B. Denoising the image;

[0033] C. Enhance the image;

[0034] D. Carry out segmentation processing on the image;

[0035] E. Extract image features;

[0036] F...

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Abstract

The invention discloses application of visual information to electrical equipment monitoring. The application of the visual information to electrical equipment monitoring includes the steps of firstly, acquiring electrical equipment images and establishing an electrical equipment image database; subjecting the images to preprocessing such as denoising and enhancement; then, subjecting the image to segmentation processing so as to extract image features; finally, conducting fault judgment through image classification and recognition so as to confirm whether electrical equipment has faults or not as well as fault classifications. The application of the visual information to electrical equipment monitoring has the advantages that multiple kinds of algorithms are integrated, a system is of real-time performance, dynamicity, high intelligent level and the like, accidents and economic loss caused by the faults of the electrical equipment are reduced technically, and safe running of the electrical equipment is guaranteed.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and in particular relates to the application of visual information in electric equipment monitoring. Background technique [0002] The degree of development and technical level of the power system has become one of the symbols of the economic development level of each country. At present, the scale of my country's power grid is getting bigger and bigger, the structure is getting denser, and the connection between regions is getting closer. If electrical equipment fails, it will have extremely adverse effects. In order to improve the stability of the power system, it is an important link to prevent the failure of the power system to detect whether there is a fault in the power equipment in advance. The monitoring of power system equipment can ensure rapid diagnosis and timely maintenance before the system fails, so as to ensure the safe operation of power equipment. [0003] At...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/60
CPCG06V10/20
Inventor 吴昌东江桦陈洋
Owner XIHUA UNIV
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