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Power transmission line defect intelligent identification method and system based on deep learning

A transmission line, intelligent recognition technology, applied in character and pattern recognition, image analysis, image enhancement and other directions, can solve the problems of heavy workload, waste of manpower and financial resources, low efficiency, etc., to strengthen detection and recognition, ensure detection speed, The effect of improving detection accuracy

Active Publication Date: 2021-06-11
INST OF AUTOMATION CHINESE ACAD OF SCI +1
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Problems solved by technology

However, there are a large number of transmission lines and towers in my country, and relying on manual identification for defect detection is a large workload, which will waste a lot of manpower and financial resources and is inefficient
In other computer-based detection methods, most of the existing technologies can only identify a single type of defect, and due to the constraints of computing performance, there is no method that can detect small-sized defects in high-definition panoramic images

Method used

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  • Power transmission line defect intelligent identification method and system based on deep learning
  • Power transmission line defect intelligent identification method and system based on deep learning
  • Power transmission line defect intelligent identification method and system based on deep learning

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Embodiment Construction

[0071] Preferred embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention, and are not intended to limit the protection scope of the present invention.

[0072] The purpose of the present invention is to provide an intelligent recognition method for transmission line defects based on deep learning, which can automatically and accurately detect defect targets of various scales in panoramic high-definition images, and fully utilize the coarse-grained multi-resolution of the multi-resolution fusion pyramid The feature information of the rate layer ensures the comprehensiveness of the feature information. Through the feature enhancement pyramid, the interference of background redundant information can be eliminated, and the enhanced feature image can be obtained, which can strengthen the detection a...

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Abstract

The invention relates to a power transmission line defect intelligent identification method and system based on deep learning. The intelligent identification method comprises: obtaining a to-be-detected power transmission line image; according to the power transmission line image, based on a multi-resolution fusion pyramid, determining coarse-grained multi-resolution layer feature information; according to the coarse-grained multi-resolution layer feature information, obtaining fine-grained multi-resolution layer feature information based on a fine-grained interactive pyramid; obtaining an enhanced feature image based on a feature enhancement pyramid according to the fine-grained multi-resolution layer feature information; and, according to the enhanced feature image, determining the defect category and defect position of the to-be-detected power transmission line, so that the detection precision of the multi-scale target can be improved.

Description

technical field [0001] The invention relates to the technical fields of computer vision and image processing, in particular to a method and system for intelligent identification of transmission line defects based on deep learning. Background technique [0002] The power system is an important foundation for my country's economic construction. With the rapid development of the country's economy, the demand for power in industrial development and people's lives is also gradually increasing. Therefore, the normal operation of the power system directly affects the economic development of our country and the quality of life of the people. A complete power system includes parts from power generation, power transmission to terminal power consumption, and each part plays an indispensable role in the system. However, as the power transmission part connecting the power generation source to the end user, the normal operation of the transmission line affects the stability and reliabili...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T5/00G06K9/62G06N3/04
CPCG06T7/0004G06T5/00G06N3/04G06T2207/20016G06F18/2415Y04S10/50
Inventor 胡卫明刘雨帆李泽坤李兵高雪铁
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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