IP Library › Granted Patent US 12,031,828
Granted Patent B2
US 12,031,828 · App. 17/594,164 · Granted Jul 9, 2024

Method for optimising a flight plan

Inventors: Anamaria Lupu (Paris, FR); Arthur Llau (Paris, FR); Baptiste Gregorutti (Paris, FR)
Assignee: Safety Line
G01C21/20G08G5/0013G08G5/0021G08G5/0039G08G5/0091
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Quick Facts
Patent No.
US 12,031,828
App. No.
17/594,164
Granted
Jul 9, 2024
Kind
B2
Abstract

The invention relates to a method for optimising a flight plan consisting of an air route for an aircraft of a fleet of aircraft, each aircraft being designed to record flight data, the method comprising a preliminary step of learning a network of air routes specific to the fleet of aircraft, the method comprising a step of determining a fuel consumption model specific to the aircraft based on the flight data, the method comprising the subsequent steps of: —collecting meteorological data associated with the aircraft environment, and —determining an optimised flight plan for reaching the destination waypoint, based on a current position of the aircraft, the flight conditions of the aircraft, the predefined air route, the consumption model of the aircraft, the meteorological conditions and the previously defined optimal air routes.

Claims (26)

1. A method for optimizing a predefined flight plan comprising of an air route for an aircraft of a fleet of aircraft, an air route consisting of an ordered series of waypoints between an origin waypoint and a destination waypoint, each aircraft being designed to record data, called flight data, associated with the use of said aircraft, the method comprising a preliminary step of learning a network of air routes specific to the fleet of aircraft, this preliminary step comprising the steps of:

collecting, for each aircraft in the fleet, the flight data recorded by said aircraft,

recording said flight data in a database, each flight datum being recorded in association with a segment of an air route, a segment being a portion of the air route delimited by two consecutive waypoints,

determining, for each air route segment of the database, a probability of authorisation by an air traffic control for the use of said segment, based on the collected flight data,

determining, for each air route segment from the database, performance indicators comprising: the distance between the two consecutive waypoints of the segment, an average or median duration of the segment travel, and an average or median fuel consumption, based on the collected flight data, and

determining an optimal air route for performing each path of a plurality of predetermined paths via a machine learning method, each predetermined path being defined by an origin waypoint and a destination waypoint,

the method comprising a step of:

determining a fuel consumption model specific to the aircraft based on the flight data,

the method comprising the subsequent steps of:

collecting meteorological data associated with the aircraft environment, and

determining an optimised flight plan for reaching the destination waypoint, based on a current position of the aircraft, the flight conditions of the aircraft, the predefined air route, the consumption model of the aircraft, the meteorological conditions and the previously defined optimal air routes.

2. The method of claim 1 , the preliminary step of learning a network of air routes specific to the aircraft fleet comprising the additional steps of:

collecting data, called external data, said external data corresponding to a database of waypoints or potentially usable routes, then,

determine a graph, a vertex of the graph corresponding to a waypoint recorded in the database, an edge of the graph being a function of the probability of authorisation by air traffic control of the use of said segment and of the performance indicators of the segment represented by the edge.

3. The method of claim 1 , wherein the steps of collecting meteorological data associated with the aircraft environment and subsequent steps being executed by an electronic device on board the aircraft and in real time.

4. An electronic device designed to implement the steps of the method according to claim 1 .

5. An electronic device designed to be on board an aircraft, the electronic device being designed to implement the following steps of the method according to claim 1 :

collecting meteorological data associated with the aircraft environment,

determining an optimised flight plan for reaching the destination waypoint, based on the current position of the aircraft, the flight conditions of the aircraft, the predefined air route, the consumption model of the aircraft, the meteorological conditions and the previously defined optimal air routes.

6. A system for optimisation of a predefined flight plan for an aircraft of a fleet of aircraft according to the method of claim 1 , the system comprising:

a first electronic device configure to:

collect meteorological data associated with the aircraft environment,

determine an optimised flight plan for reaching the destination waypoint, based on the current position of the aircraft, the flight conditions of the aircraft, the predefined air route, the consumption model of the aircraft, the meteorological conditions and the previously defined optimal air routes, and

a second electronic device designed to execute the steps of the method according to claim 1 not executed by the first electronic device.

7. A computer program, characterized in that it comprises instructions for implementing, by a processor of an electronic device, the steps of the method for optimizing a predefined flight plan for an aircraft of a fleet of aircraft, according to claim 1 , when the computer program is executed by the processor.

8. A recording medium, readable by an electronic device, on which the computer program according to claim 1 is stored.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 8, 2024
From: LLAU, ARTHUR; GREGORUTTI, BAPTISTE
To: SAFETY LINE
Reel/Frame 066690/0196 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 8, 2023
From: LUPU, ANAMARIA
To: SAFETY LINE, SAS
Reel/Frame 065837/0953 →
Priority Claims (1)
FR 1872816 · Dec 13, 2018 · national
Continuity (1)
Related Publication 20220252401A1 · Aug 11, 2022