US 12,462,700 B2
System and method for aircraft flight control
Adam Durant, Cambridge (GB); Antony Rix, Cambridge (GB); Dirk Simon, Cambridge (GB); Daniel Bannister, Cambridge (GB); and Gregory Thompson, Longmont, CO (US)
Appl. No. 17/275,324
Filed by Satavia Limited, Cambridge (GB)
PCT Filed Sep. 11, 2019, PCT No. PCT/IB2019/057657
§ 371(c)(1), (2) Date Mar. 11, 2021,
PCT Pub. No. WO2020/053785, PCT Pub. Date Mar. 19, 2020.
Claims priority of application No. 1814781 (GB), filed on Sep. 11, 2018.
Prior Publication US 2022/0028287 A1, Jan. 27, 2022
Int. Cl. G08G 5/76 (2025.01); B64D 15/22 (2006.01); G01W 1/02 (2006.01); G06N 7/01 (2023.01); G06N 20/00 (2019.01); G08G 5/34 (2025.01); G01W 1/00 (2006.01)
CPC G08G 5/76 (2025.01) [B64D 15/22 (2013.01); G01W 1/02 (2013.01); G06N 7/01 (2023.01); G06N 20/00 (2019.01); G08G 5/34 (2025.01); G01W 2001/003 (2013.01)] 17 Claims
OG exemplary drawing
 
5. A method of (for) controlling aircraft flight, wherein the method comprises:
providing a measure of at least one atmospheric contaminant with respect to a location, an altitude or a pressure, and a time;
receiving at least one aircraft flight plan data including at least one of a time, a pressure or an altitude, a trajectory and a location representing at least one aircraft flight;
calculating an estimate of the atmospheric contaminant risk for at least one flight plan using the measure of at least one atmospheric contaminant based upon a location, an altitude or pressure, a trajectory and a time information extracted from the at least one aircraft flight plan data; and
providing a resultant indication related to the estimate of atmospheric contamination risk to the at least one aircraft, wherein the measure of the at least one atmospheric contaminant is calculated by a machine learning model utilising at least one of historical or live atmospheric contaminant data, and wherein the machine learning model is calibrated, trained or optimised using at least one of historical atmospheric contaminant data, live atmospheric contaminant data or simulations of the atmospheric contaminant risk,
wherein the method further comprises automatically adopting a modified flight plan having lower atmospheric contamination risk based on the resultant indication.