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Unmanned aerial vehicle inspection method and device and edge calculation module

An edge computing and unmanned aerial vehicle technology, applied in three-dimensional position/course control, vehicle position/route/height control, non-electric variable control, etc. The problem is not high, to achieve the effect of clear target image

Pending Publication Date: 2021-06-11
北京御航智能科技有限公司
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AI Technical Summary

Problems solved by technology

[0003] 1) Although some places have carried out the pilot application of fully autonomous inspection of UAVs, the efficiency improvement is not obvious, limited by the flight time of multi-rotor UAVs and the complexity of the circuit environment, resulting in a low input-output ratio. not tall;
[0004] 2) At the current stage, the inspection of UAVs mostly adopts the mode of manual control and self-photographing by setting experience preset points, and the degree of autonomy is not high

Method used

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  • Unmanned aerial vehicle inspection method and device and edge calculation module
  • Unmanned aerial vehicle inspection method and device and edge calculation module
  • Unmanned aerial vehicle inspection method and device and edge calculation module

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[0036] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0037] Such as figure 1 As shown, the embodiment of the present invention proposes a drone inspection method, which is applied to the edge computing module, and the method includes:

[0038] Step 11, obtaining the video data collected by the unmanned aerial vehicle at a predetermined hovering point during the flight of the drone according to the predetermined route;

[0039] Step 12, identifying the target according to the video d...

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Abstract

The invention provides an unmanned aerial vehicle inspection method and device and an edge calculation module. The method comprises the following steps: acquiring video data acquired at a predetermined hovering point when the unmanned aerial vehicle flies according to a predetermined route; identifying a target according to the video data, and determining the position of the target; and photographing the target according to the position of the target to obtain image information of the target. According to the scheme, the unmanned aerial vehicle can be more intelligent and more accurate in the flight process, and the utilization rate of pictures automatically photographed by the unmanned aerial vehicle during later data processing is increased.

Description

technical field [0001] The invention relates to the technical field of UAV flight control, in particular to a UAV inspection method, device and edge computing module. Background technique [0002] Transmission line appearance inspection operation is an important monitoring method for line operation status. Traditional line inspection is mainly based on human inspection. Inspection, UAV-based collaborative inspection, and UAV-based collaborative autonomous inspection mode transformation. Judging from the current level of drone inspection technology, there are still the following problems: [0003] 1) Although some places have carried out the pilot application of fully autonomous inspection of UAVs, the efficiency improvement is not obvious, limited by the flight time of multi-rotor UAVs and the complexity of the circuit environment, resulting in a low input-output ratio. not tall; [0004] 2) At the current stage, the inspection of UAVs mostly adopts the mode of manual con...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05D1/08G05D1/10
CPCG05D1/0808G05D1/101
Inventor 高小伟吴合风辛亚锋黎维彬张鹏亚高松鹤
Owner 北京御航智能科技有限公司
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