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

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...

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

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