Independent flight safety monitoring and information management system for UAV (unmanned aerial vehicle)

Abstract

The invention relates to an independent flight safety monitoring and information management system for a UAV (unmanned aerial vehicle). The system is characterized by mainly comprising a UAV status monitoring unit, a UAV status display unit and a UAV status storage and analysis unit, wherein the UAV status monitoring unit adopts an independent built-in rechargeable battery, and a built-in completesensor group is used for monitoring the UAV flight status and transmitting the UAV flight status back to the UAV status storage and analysis unit; the UAV status display unit can query UAV status information of a corresponding account after logging in, receive maintenance and alarm information pushed by the UAV status storage and analysis unit and trigger alarm information of the UAV status monitoring unit to help find the UAV when the UAV is lost; the UAV status storage and analysis unit receives and stores the UAV status information returned by the UAV status monitoring unit, analyzes and counts flight information such as UAV flight duration, engine start time, flight hotspots and whether it violates rules on the basis of built-in UAV flight information data and machine learning by an artificial intelligence algorithm, and pushes information including flight area selection, UAV maintenance and UAV flight violation alarm to the UAV status display unit.

Description

Technical field [0001] The invention relates to the technical field of unmanned aerial vehicles, in particular to unmanned aerial vehicle flight safety monitoring, flight information recording, follow-up analysis utilization and management. Background technique [0002] The independent flight safety monitoring and information management system is an important supplement to the application of UAV technology. The use of third-party data can effectively monitor and record the flight behavior of UAVs; Data such as the number of times can assist in judging the flight conditions of the UAV, and provide a basis for the repair and replacement cycle of key components; through flight motion capture, combined with UAV no-fly areas and flight hotspot data for judgment, it can assist in avoiding Flight risk; if the UAV is lost due to flight failure, the lost UAV can also be quickly retrieved according to GPS information, buzzer prompts and other means. [0003] At present, the vast majo...

AI Technical Summary

Problems solved by technology

UAVs equipped with ground stations can only monitor the status of UAVs in real time through the ground station, but the statistical analysis of the flight status of UAVs requires the use of professional software to analyze the flight status. The operation is complicated and the usability is not high.

And the UAV status monitoring is powered by the UAV power supply. When the UAV fails and the system is powered off, it cannot continue to monitor the status of the aircraft.

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