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A method for target recognition of transmission line insulators based on aerial images

A transmission line and aerial image technology, applied in character and pattern recognition, instruments, biological neural network models, etc., can solve the problems of high labor intensity, high cost, and large impact on inspection results, to ensure accuracy and improve effectiveness. The effect of area ratio

Active Publication Date: 2022-04-19
TIANJIN UNIV
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AI Technical Summary

Problems solved by technology

[0006] The traditional inspection mode is manual inspection, but because the power transmission network is mostly located in complex mountainous and deep forest terrains, this inspection mode is labor-intensive and expensive, and the inspection results are affected by personnel skills and natural conditions such as weather, terrain, and light. Conditions have a greater influence

Method used

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  • A method for target recognition of transmission line insulators based on aerial images
  • A method for target recognition of transmission line insulators based on aerial images
  • A method for target recognition of transmission line insulators based on aerial images

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Embodiment Construction

[0036] In order to make the technical solution of the present invention clearer, the present invention will be further elaborated below in conjunction with the accompanying drawings.

[0037] The invention starts from the shape of the insulator, and designs a new insulator target recognition based on aerial photography transmission lines. Such as figure 2 As shown, for different types of insulators, they are all composed of insulator segments with the same shape. Designing the focus of the detection area as a segment can extract more useful information, and because of the unique orientation of the insulator string, it can be based on the segment Neighborhood inspection to optimize the feature extraction process and fragment fusion process. Follow the steps below to implement it:

[0038] The first step is to prepare the dataset.

[0039] (1) Prepare the image data required by the target detection network.

[0040] Considering that the shapes of different types of insulato...

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Abstract

The invention relates to a method for recognizing an insulator target of a power transmission line based on an aerial image, comprising the following steps: preparing a data set; extracting the segment (Segments) feature and the link (Links) feature of the insulator picture respectively; fusing the segment (Segments) feature and the link ( Links) features to identify target regions.

Description

technical field [0001] The invention belongs to the technical fields of image processing, remote sensing image and computer vision, and relates to an insulator target detection method based on digital image processing and deep learning technology in an aerial image of a power transmission line. Background technique [0002] Near power system is the whole power production and consumption system composed of power plant, power transmission and transformation line network, power supply and distribution network and power user network. Then the electric energy is supplied to each user through power transmission, transformation and distribution, thus completing the whole process of electric energy production, transmission and use. Ensuring the reliability and stability of transmission is of great significance to both national security and daily life. Therefore, it is necessary to test the reliability of the circuit transmission network to ensure the stability of the entire wire ne...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V20/10G06V10/774G06V10/80G06V10/82G06K9/62G06N3/04
CPCG06V20/10G06N3/045G06F18/253G06F18/214
Inventor 田海瑞侯春萍王致芃曹凯鑫
Owner TIANJIN UNIV
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