Power transmission line image augmentation method and system based on improved DCGAN

A transmission line, image technology, applied in the field of image processing

A transmission line, image technology, applied in the field of image processing

CN113673670AInactive Publication Date: 2021-11-19广西电网有限责任公司河池供电局
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  • Power transmission line image augmentation method and system based on improved DCGAN
  • Power transmission line image augmentation method and system based on improved DCGAN
  • Power transmission line image augmentation method and system based on improved DCGAN

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Embodiment Construction

[0055] Embodiments of the present disclosure will be described in detail below in conjunction with the accompanying drawings.

[0056] Embodiments of the present disclosure are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present disclosure from the contents disclosed in this specification. Apparently, the described embodiments are only some of the embodiments of the present disclosure, not all of them. The present disclosure can also be implemented or applied through different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present disclosure. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other. Based on the embodiments in the present disclosure, a...

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Abstract

The invention provides a power transmission line image augmentation method and system based on an improved DCGAN. The method comprises the steps of collecting original defect image sample data of a power transmission line; improving the structure of the DCGAN network model, and obtaining the DCGAN network model with the improved structure; preprocessing the original defect image sample data by using a DCGAN network model with an improved structure to obtain a training set; training the DCGAN network model with the improved structure until a generator G and a discriminator D reach Nash equilibrium; and generating the augmented data by using the generator G. According to the invention, the original data is preprocessed by using the augmentation function, so that more training data can be provided for DCGAN training, a network can learn more comprehensive data set features, and a more effective data set is generated.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an improved DCGAN-based transmission line image augmentation method and system. Background technique [0002] The transmission line is the artery of the power system, and its stable operation is an important guarantee for the safety and reliability of power supply. Transmission failures caused by insulator failures, shockproof hammer failures, missing bolts, missing pins and other defects in transmission lines will cause irreparable economic losses to enterprises and industrial production, and will also bring great inconvenience to people's daily life. Therefore, it is very necessary to conduct regular safety inspections on transmission lines. The traditional manual inspection method faces problems such as long inspection cycle, low efficiency, high risk, poor ability to deal with complex terrain, etc., and it is difficult to meet the requirements of power grid operatio...

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Application Information

Patent Timeline
19 Nov 2021
Publication
CN113673670A
IPC
G06N3/04; G06N3/08; G06K9/62
CPC
G06N3/08; G06N3/045; G06F18/214
Inventors
王江; 王海霖