Unmanned aerial vehicle control method and control device, and unmanned aerial vehicle supervision method and supervision device

Abstract

An unmanned aerial vehicle control method and control device, an unmanned aerial vehicle supervision method and supervision device, and an unmanned aerial vehicle, these being used to realise the supervision of an unmanned aerial vehicle. The unmanned aerial vehicle control method involves: acquiring supervision information about an unmanned aerial vehicle, and inserting the supervision information into a management frame; and using a transmitter to send the management frame in a working channel of a communication network between the unmanned aerial vehicle and a control terminal.

Description

technical field [0001] The embodiments of the present application relate to the field of unmanned aerial vehicles, and in particular to a control method and equipment for unmanned aerial vehicles, a monitoring method and equipment for unmanned aerial vehicles, and unmanned aerial vehicles. Background technique [0002] As a kind of aviation aircraft, drones have problems such as unclear flight areas, privacy violations, and potential safety hazards in the process of using airspace. In order to ensure the safety of the public, they need to be subject to a certain level of supervision. [0003] Currently, interception and detection technologies for UAVs can include phased array radar, electronic imaging, acoustic wave detection, and radio frequency signal detection, etc., but these technologies are not yet mature enough to be used to detect small UAVs well, and even When small drones are found, they cannot provide relevant information such as the identity and geographical loca...

AI Technical Summary

Problems solved by technology

However, since ADS-B equipment is a high-power transmitting equipment (greater than 100W), it is difficult to apply to small, medium and micro UAVs, and ground radar detection has certain requirements for the volume and flight height of the target aircraft, while for " Low / slow / small / many" is difficult to achieve efficient detection for small and medium-sized micro UAVs

Images