IP Library Granted Patent US 11,250,709
Granted Patent B2
US 11,250,709 · App. 16/100,571 · Granted Feb 15, 2022

Drone air traffic control incorporating weather updates

Inventor: Lee Priest (Charlotte, NC)
Assignee: Metal Raptor, LLC
G08G5/0039B64C39/024G08G5/0013G08G5/0026G08G5/0069G08G5/0078G08G5/0082G08G5/0086G08G5/0091G08G5/025G08G5/045
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Quick Facts
Patent No.
US 11,250,709
App. No.
16/100,571
Granted
Feb 15, 2022
Kind
B2
Abstract

Systems and methods for drone air traffic control management include, in an air traffic control system configured to manage Unmanned Aerial Vehicle (UAV) flight in a geographic region, communicating to one or more UAVs over one or more wireless networks, wherein the one or more UAVs are configured to constrain flight based on coverage of the one or more wireless networks; receiving weather information related to the geographic region; analyzing the weather information with respect to a flight plan of the one or more UAVs; and providing changes to the flight plan based on the analyzing the weather information, wherein the changes include one or more of course corrections and route optimization based on the weather information.

Claims (32)

1. A drone air traffic control management method comprising:

in an air traffic control system including a processor configured to execute instructions that cause the processor to manage Unmanned Aerial Vehicle (UAV) flight in a geographic region, communicating to one or more UAVs over one or more wireless networks, wherein the one or more UAVs are configured to constrain flight based on coverage of the one or more wireless networks;

receiving weather information related to the geographic region;

receiving information, including measurements, from a plurality of UAVs, the measurements including one or more of detected signal bandwidth, frequency, and radio frequency strength of the one or more wireless networks measured by the plurality of UAVs;

analyzing the weather information and the information with respect to a flight plan of the one or more UAVs, wherein preference is given to the information received from UAVs of the plurality of UAVs determined to be more reliable and accurate; and

providing changes to the flight plan based on the analyzing the weather information and the information, wherein the changes comprise one or more of course corrections and route optimization based on the weather information and the information,

wherein the one or more UAVs comprise an antenna communicatively coupled to the one or more wireless networks, wherein the flight is constrained based on the antenna monitoring cell signal strength during the flight, and wherein the flightpath is adjusted based on the cell signal strength being lost or degraded, and the one or more UAVs are further configured to constrain flight based on pre-configuring the one or more UAVs to operate only where coverage exists.

2. The drone air traffic control management method of claim 1 , wherein the providing changes comprises instructions to change direction.

3. The drone air traffic control management method of claim 1 , wherein the providing changes comprises instructions to change flying lanes.

4. The drone air traffic control management method of claim 1 , wherein the providing changes comprises instructions to land and where a UAV should target for landing.

5. The drone air traffic control management method of claim 1 , wherein the providing changes comprises a full route modification with an emphasis on route optimization to avoid a negative impact of a weather event.

6. The drone air traffic control management method of claim 1 , wherein the providing changes comprises instructions to speed up or slow down.

7. The drone air traffic control management method of claim 1 , wherein the providing changes comprises instructions to change altitude.

8. The drone air traffic control management method of claim 1 , wherein the providing changes comprises instructions to hold position for a specific or indefinite time period.

9. The drone air traffic control management method of claim 1 , wherein the providing changes comprises instructions to move to a safe position away from a weather event and either hold in the air or on the ground for a specific or indefinite time period.

10. The drone air traffic control management method of claim 1 , wherein the providing changes comprises instructions to land or circle.

11. A drone air traffic control system comprising:

a processor and a network interface communicatively coupled to one another; and

memory storing instructions that, when executed, cause the processor to:

communicate to one or more Unmanned Aerial Vehicles (UAVs) over one or more wireless networks, wherein the one or more UAVs are configured to constrain flight based on coverage of the one or more wireless networks;

receive weather information related to the geographic region;

receive information, including measurements, from a plurality of UAVs, the measurements including one or more of detected signal bandwidth, frequency, and radio frequency strength of the one or more wireless networks measured by the plurality of UAVs

analyze the weather information and the information with respect to a flight plan of the one or more UAVs, wherein preference is given to the information received from UAVs of the plurality of UAVs determined to be more reliable and accurate; and

provide changes to the flight plan based on the analyzing the weather information and the information, wherein the changes comprise one or more of course corrections and route optimization based on the weather information and the information,

wherein the one or more UAVs comprise an antenna communicatively coupled to the one or more wireless networks, wherein the flight is constrained based on the antenna monitoring cell signal strength during the flight, and wherein the flightpath is adjusted based on the cell signal strength being lost or degraded, and the one or more UAVs are further configured to constrain flight based on pre-configuring the one or more UAVs to operate only where coverage exists.

12. The drone air traffic control system of claim 11 , wherein the providing changes comprises instructions to change direction.

13. The drone air traffic control system of claim 11 , wherein the providing changes comprises instructions to change flying lanes.

14. The drone air traffic control system of claim 11 , wherein the providing changes comprises instructions to land and where a UAV should target for landing.

15. The drone air traffic control system of claim 11 , wherein the providing changes comprises a full route modification with an emphasis on route optimization to avoid a negative impact of a weather event.

16. The drone air traffic control system of claim 11 , wherein the providing changes comprises instructions to speed up or slow down.

17. The drone air traffic control system of claim 11 , wherein the providing changes comprises instructions to change altitude.

18. The drone air traffic control system of claim 11 , wherein the providing changes comprises instructions to hold position for a specific or indefinite time period.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 15, 2021
From: PRIEST, LEE
To: METAL RAPTOR, LLC
Reel/Frame 056048/0388 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 15, 2021
From: ETAK SYSTEMS, LLC
To: PRIEST, LEE
Reel/Frame 055598/0694 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 10, 2018
From: PRIEST, LEE
To: ETAK SYSTEMS, LLC
Reel/Frame 046612/0882 →
Cited By (1)
US 12,552,559