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Power transformation equipment defect detection method based on sensitive position dependence analysis

A technology of defect detection and dependent analysis, which is applied in the direction of material analysis, image analysis, optical testing for flaws/defects, etc. It can solve problems such as high false detection rate, inaccurate detection results, and failure to consider the correlation of relevant factors

Pending Publication Date: 2021-05-07
孙杨 +1
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Problems solved by technology

However, in the existing analysis methods, the correlation between relevant factors is not considered, resulting in inaccurate detection results and high false detection rate.

Method used

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  • Power transformation equipment defect detection method based on sensitive position dependence analysis
  • Power transformation equipment defect detection method based on sensitive position dependence analysis
  • Power transformation equipment defect detection method based on sensitive position dependence analysis

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Embodiment Construction

[0052] In order to have a further understanding and understanding of the structural features of the present invention and the achieved effects, the preferred embodiments and accompanying drawings are used for a detailed description, as follows:

[0053] Such as figure 1 As shown, a method for detecting defects of substation equipment based on sensitive position-dependent analysis described in the present invention includes the following steps:

[0054] The first step is the acquisition of electrical equipment defect image sets: acquire several substation equipment defect images to form a substation defect image dataset, which includes meter damage images, insulator rupture images, silica gel discoloration images, oil seal damage images, and high-altitude suspended object images , bird's nest image, ground oil image, metal corrosion image.

[0055] The second step is to construct a defect detection network: construct a defect detection network, and the defect detection network...

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Abstract

The invention relates to a power transformation equipment defect detection method based on sensitive position dependence analysis. Compared with the prior art, the defect that the power transformation equipment defect detection rate is low is overcome. The method comprises the following steps: acquiring a defect image set of the power transformation equipment; constructing a defect detection network; training a defect detection network; acquiring a defect image to be detected; and detecting defects of substation equipment. The relevance between the pixels with high relevance in the power transformation equipment image is fully considered, so that the recombined target features are not only pure target information, the relevance contains the image background and the target context dependency information, and detection and recognition are more facilitated.

Description

technical field [0001] The invention relates to the technical field of substation equipment image processing, in particular to a defect detection method for substation equipment based on sensitive location-dependent analysis. Background technique [0002] With the increase of labor cost, the demand of substation environment, and the development of computer pattern recognition technology, inspection robot has become the main equipment for daily inspection of substation. At the same time, in response to the urgent need for intelligent construction of the power grid, the application research of defect detection and identification using substation robot inspection images is gradually deepening. In recent years, relevant scholars and power system units have carried out a lot of work in this field and achieved certain results. . [0003] Based on the defects of substation equipment, there is a certain relationship between the defects. For example: the appearance of bird's nest i...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/73G06K9/62G01N21/88
CPCG06T7/0004G06T7/73G01N21/8851G01N2021/8854G01N2021/8887G06T2207/20081G06T2207/20084G06T2207/20016G06T2207/30108G06F18/214G06F18/2415G06F18/253Y04S10/50
Inventor 孙杨杨可军张可杨建旭
Owner 孙杨
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