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Unmanned aerial vehicle electric power inspection method and device and storage medium

A technology for power inspection and unmanned aerial vehicles, applied in computer parts, biological neural network models, instruments, etc., can solve problems such as manual control of the flight path of unmanned aerial vehicles

Inactive Publication Date: 2020-07-10
YANGTZE UNIVERSITY
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  • Claims
  • Application Information

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Problems solved by technology

[0004] In view of the deficiencies of the above-mentioned prior art, the object of the present invention is to provide a method, equipment and storage medium for power inspection of unmanned aerial vehicles to solve the current problem of manually controlling the flight path of the unmanned aerial vehicle

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  • Unmanned aerial vehicle electric power inspection method and device and storage medium
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  • Unmanned aerial vehicle electric power inspection method and device and storage medium

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Embodiment Construction

[0040] In order to make the object, technical solution and effect of the present invention more clear and definite, the present invention will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0041] see figure 1 , the unmanned aerial vehicle power inspection method provided in the embodiment of the present invention, comprises the following steps:

[0042] S100. Obtain a tower pole video taken by a drone, acquire training data from the video, process and label the training data to obtain a labeled data set.

[0043] In this embodiment, professionals use unmanned aerial vehicles to shoot videos containing objects to be detected from multiple angles and distances, intercept key frames in the video as training data for the neural network, and then filter out blur and obvious noise ...

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Abstract

The invention discloses an unmanned aerial vehicle electric power inspection method and device and a storage medium, and the method comprises the steps: obtaining a pole video shot by an unmanned aerial vehicle, obtaining training data from the video, and processing and annotating the training data; constructing a training neural network, and training the annotation data set by using the trainingneural network to obtain a training model; controlling the unmanned aerial vehicle to start inspection; calculating an image shot by the unmanned aerial vehicle in real time through the training modelto obtain a power device category in the image and the relative coordinate of the power device in the image; planning the inspection route of the unmanned aerial vehicle according to the relative coordinates of each power device in the image, and controlling the unmanned aerial vehicle to inspect according to the inspection route; and judging whether the unmanned aerial vehicle completes the inspection of one tower or not, and controlling the unmanned aerial vehicle to return when the unmanned aerial vehicle completes the inspection. The flight path of the unmanned aerial vehicle is automatically guided, and the manual participation degree is reduced.

Description

technical field [0001] The invention relates to the field of electric power inspection, in particular to a method, equipment and storage medium for electric power inspection of an unmanned aerial vehicle. Background technique [0002] The rapid development and application of UAVs in the field of power inspection is an indisputable fact. Recently, at the China International Smart Expo, the "Internet Sky Eagle" transmission line UAV intelligent operation equipment exhibited in the State Grid exhibition area is the first domestic The first mobile UAV intelligent inspection complete set of equipment. Its UAV system and ground management platform have reached the international advanced level as a whole, but it is still the same as most UAV power inspection technologies, using the front-end UAV to collect images and send them back to the server, and the back-end for intelligent processing or manual analysis model. In this mode, the inspection workers do not need to go to the fie...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06Q50/06G06Q10/00G06N3/04
CPCG06Q50/06G06Q10/20G06V20/13G06N3/045G06F18/214
Inventor 詹炜孙晨帆张阳阳
Owner YANGTZE UNIVERSITY
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