Method, device, equipment and storage medium for detecting abnormal fall of UAV

A detection method and drone technology, applied in the field of drones, can solve the problems of a large amount of manual input, low judgment efficiency, and long time consumption, so as to avoid human misjudgment and improve judgment efficiency.

Active Publication Date: 2021-11-30
TOPXGUN NAN JING ROBOTICS CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the existing technology, it is only possible to judge whether the UAV falls to the ground abnormally through human visual inspection. However, the defect of the existing technology is that it is prone to large errors to judge whether the UAV falls to the ground abnormally by human visual inspection. The reference value Limited, there is no unified criterion for judging the abnormal landing of drones, and an accurate judgment cannot be given
Moreover, manually judging whether the UAV falls to the ground requires a lot of manual investment, takes a long time, and the judgment efficiency is too low

Method used

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  • Method, device, equipment and storage medium for detecting abnormal fall of UAV
  • Method, device, equipment and storage medium for detecting abnormal fall of UAV
  • Method, device, equipment and storage medium for detecting abnormal fall of UAV

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Embodiment 1

[0024] figure 1 It is a flow chart of a method for detecting an abnormal fall of a UAV provided by Embodiment 1 of the present invention. This embodiment is applicable to situations where the method can be executed by a detection device for an abnormal fall of a UAV. The device consists of It can be implemented by software and / or hardware, and can generally be integrated in computer equipment, such as a server or terminal equipment. like figure 1 As shown, the method may include the following steps:

[0025] Step 101, acquiring the telemetry data of the unmanned aerial vehicle to be detected.

[0026] Among them, the telemetry data is collected by the sensor module of the drone, and the flight data received by the server comes from the drone and reflects the digital characteristics or status of the drone.

[0027] A drone may include a sensor module, a data recording device, and a flight control module.

[0028] The sensor module of the UAV is used to collect the flight da...

Embodiment 2

[0046] figure 2 It is a flow chart of a method for detecting an abnormal fall of a UAV provided by Embodiment 2 of the present invention. This embodiment may be combined with each optional solution in the above one or more embodiments. In this embodiment, the attitude-related parameters include: roll angle parameters and pitch angle parameters; the component-related parameters are motor speed parameters.

[0047] In the telemetry data, extracting effective telemetry data from the ground may include: judging whether the telemetry data contains satellite number parameters, roll angle parameters, and pitch angle parameters; determining whether the telemetry data includes satellite number parameters, roll angle parameters, and pitch angle parameters parameters, obtain the ground lift telemetry data in the telemetry data; judge whether the ground lift telemetry data meets the valid data conditions; determine the ground lift telemetry data as effective ground lift telemetry data wh...

Embodiment 3

[0065] image 3 It is a flowchart of a method for detecting an abnormal fall of a UAV provided by Embodiment 3 of the present invention. This embodiment can be combined with each optional solution in one or more of the above embodiments. In this embodiment, according to the parameter value of at least one attitude-related parameter and at least one component-related parameter determined from the ground-off telemetry data, As well as the preset parameter conditions for abnormal landing matching, detecting whether the UAV is an abnormal landing may include: judging whether the UAV meets the first parameter of the preset abnormal landing matching according to the roll angle parameter corresponding to the ground lift telemetry data Conditions: When it is determined that the UAV does not meet the preset first parameter condition of abnormal landing matching, according to the pitch angle parameter corresponding to the ground lift telemetry data, it is judged whether the UAV meets th...

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Abstract

The embodiment of the invention discloses a method, device, equipment and storage medium for detecting an abnormal fall of an unmanned aerial vehicle. The method includes: acquiring telemetry data of the unmanned aerial vehicle to be detected; extracting effective ground-off telemetry data from the telemetry data; The parameter value of the associated parameter of the item part, and the parameter condition of the preset abnormal landing match, detect whether the UAV belongs to the abnormal landing. The technical solution of the embodiment of the present invention solves the problem that there is no uniform judging standard for abnormal UAV falling to the ground, and accurate judgment cannot be given, and the judgment efficiency is too low. UAVs can be judged more accurately based on the telemetry data of UAVs Whether there is an abnormal fall to the ground, a relatively uniform judgment standard is given, which avoids human misjudgment and improves judgment efficiency.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of unmanned aerial vehicles, and in particular to a method, device, equipment and storage medium for detecting an abnormal fall of an unmanned aerial vehicle. Background technique [0002] With the maturity of UAV technology, UAVs are gradually used in fields such as agriculture, forestry, aerial photography, surveying and mapping, and inspection. When ordinary users use drones, due to improper operation or the failure of the drone itself, the phenomenon of bombing will occur. The bombing refers to the abnormal crash of the drone due to factors such as improper operation or machine failure. [0003] The UAV that fell to the ground abnormally is completely scrapped, and it is difficult to use it again, causing great losses to users. In order to reduce the burden on users, manufacturers usually introduce compensation measures to encourage users to use drones. For example, when it i...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05D1/08G05D1/10
CPCG05D1/0808G05D1/101
Inventor 尹亮亮吕萌张羽
Owner TOPXGUN NAN JING ROBOTICS CO LTD
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