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A method and system for accurately classifying UAV inspection pictures

A classification method and UAV technology, applied in still image data clustering/classification, still image data retrieval, etc., can solve the problem that UAV inspection pictures are not easy to classify and so on.

Active Publication Date: 2022-03-01
STATE GRID SHANDONG ELECTRIC POWER +1
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  • Summary
  • Abstract
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  • Claims
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Problems solved by technology

[0004] In order to solve the above problems, this disclosure proposes a method and system for accurately classifying UAV inspection pictures. This disclosure solves the problem that current UAV inspection images are not easy to classify. Accurately classify the double-turn towers erected on the same tower, and at the same time distinguish the large and small sides of the tension towers

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  • A method and system for accurately classifying UAV inspection pictures
  • A method and system for accurately classifying UAV inspection pictures
  • A method and system for accurately classifying UAV inspection pictures

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Embodiment Construction

[0032] The present disclosure will be further described below in conjunction with the accompanying drawings and embodiments.

[0033] It should be noted that the following detailed description is exemplary and intended to provide further explanation of the present disclosure. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure belongs.

[0034] It should be noted that the terminology used herein is only for describing specific embodiments, and is not intended to limit the exemplary embodiments according to the present disclosure. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof.

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Abstract

The present disclosure provides a method and system for accurately classifying UAV inspection pictures, which analyzes and extracts the GPS position from the data information of UAV inspection photos; The minimum distance is used to obtain the tower to which the picture belongs; the coordinate system is converted, and the phase sequence of the picture and the operating tower are clarified according to the type of tower and the number of circuits, and the pictures with different phase sequence information are classified and stored.

Description

technical field [0001] The disclosure belongs to the technical field of UAV inspection data processing, and relates to a method and system for accurately classifying UAV inspection pictures. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] At present, drones are widely used in the inspection of power transmission lines. When using multi-rotor drones for fine inspection of towers, it is necessary to take pictures of the metal fittings and hanging points of the towers. Each base tower takes 10-30 photos, and 10 bases per day According to the tower, more than 100 photos are taken a day. After the shooting is completed, the pictures need to be classified according to the line name and tower. At present, the pilot relies on memorizing the order of the towers taken during the inspection. It takes a long time to classify the pictures. If the mem...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/55
CPCG06F16/55
Inventor 王永昆杜宏刚邹和东李波孙兴国田资孙永杰王栋王善军程小亮张川肖德健张经纬
Owner STATE GRID SHANDONG ELECTRIC POWER
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