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Power transformation equipment appearance image defect detection method based on fusion data generation and transfer learning technology

A technology for substation equipment and appearance defects, which is applied in the field of appearance image defect detection of substation equipment, can solve problems such as low detection recognition rate, achieve complex background, solve the imbalance of positive and negative sample distribution, improve speed and accuracy. Effect

Active Publication Date: 2021-11-30
TONGLING POWER SUPPLY CO OF STATE GRID ANHUI ELECTRIC POWER CO +2
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Problems solved by technology

[0005] The purpose of the present invention is to solve the defect of low detection and recognition rate of substation equipment appearance defects in the prior art, and provide a detection method for substation equipment appearance image defects based on fusion data generation and transfer learning technology to solve the above problems

Method used

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  • Power transformation equipment appearance image defect detection method based on fusion data generation and transfer learning technology
  • Power transformation equipment appearance image defect detection method based on fusion data generation and transfer learning technology
  • Power transformation equipment appearance image defect detection method based on fusion data generation and transfer learning technology

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Embodiment Construction

[0060] 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:

[0061] Such as figure 1 As shown, a method for detecting defects in appearance images of substation equipment based on fusion data generation and transfer learning technology described in the present invention includes the following steps:

[0062] The first step is to obtain the appearance defect image of the substation equipment: to obtain the existing appearance defect image of the substation equipment and perform preprocessing.

[0063] (1) Acquisition of appearance defect images of substation equipment: screen out images of substation equipment with appearance defects from surveillance video images, and the defects mainly include cracks, rust, and oil stains on the appearance of the equipment;

[0064] (2) Acquisition of images ...

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Abstract

The invention relates to a power transformation equipment appearance image defect detection method based on a fusion data generation and transfer learning technology. Compared with the prior art, the method overcomes the defect that the recognition rate of power transformation equipment appearance defect detection is low. The method comprises the following steps: acquiring an appearance defect image of the power transformation equipment; regenerating an appearance defect image of the power transformation equipment; constructing a power transformation equipment appearance defect detection model; training a power transformation equipment appearance defect detection model; obtaining a to-be-detected power transformation equipment image; and detecting the image defect problem of the to-be-detected power transformation equipment. According to the invention, the speed and accuracy of appearance image defect detection of the power transformation equipment are improved.

Description

technical field [0001] The invention relates to the technical field of power transformation equipment, in particular to a detection method for appearance image defects of power transformation equipment based on fusion data generation and transfer learning technology. Background technique [0002] The current substation inspection mode lags behind the rapid development of a series of new technologies such as big data, cloud computing, Internet of Things, mobile Internet, artificial intelligence, and 3D BIM. The daily work of substation equipment operation and maintenance and maintenance is mostly in the form of manual on-site operation, manual transcription, and frequent on-site travel. high. With the rapid development of deep learning and its excellent performance in classification and recognition, it has been widely used in the field of electric power intelligent inspection. [0003] However, the scarcity of samples is still a major obstacle to the introduction of deep le...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/62G06N3/04G06N3/08G06T5/50
CPCG06T7/0004G06T5/50G06N3/084G06T2207/20221G06T2207/20081G06T2207/20084G06T2207/10016G06N3/048G06F18/24G06F18/253Y04S10/50
Inventor 倪修峰程汪刘童旸鲍文霞倪杰高志国李磊孙涛
Owner TONGLING POWER SUPPLY CO OF STATE GRID ANHUI ELECTRIC POWER CO
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