Predicting fuel burn and emissions for aircraft
AssigneeThe Boeing Company
InventorSamet Ayhan
Life of this patent
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Abstract
A method for fueling an aircraft comprises (a) predicting a sequence of fuel-burn quantities over a planned flight based on at least one sequence of multivariate flight data recorded during a prior flight and on a hidden state of a trained machine. For each of a pre-selected series of prior flights, a corresponding sequence of multivariate flight data recorded during the prior flight is processed in a trainable machine to develop the hidden state, which minimizes an overall residual for replicating the fuel-burn quantities in each corresponding sequence. The method further comprises (b) summing the fuel-burn quantities over the planned flight to obtain a fueling estimate; and (c) fueling the aircraft based in part on the fueling estimate.
Claims20
A method for fueling an aircraft, the method comprising:
- predicting a sequence of fuel-burn quantities over a planned flight based on at least one sequence of multivariate flight data recorded during a prior flight and on a hidden state of a trained machine,
- wherein for each of a pre-selected series of prior flights, a corresponding sequence of multivariate flight data recorded during the prior flight is processed in a trainable machine to develop the hidden state, which minimizes an overall residual for replicating the fuel-burn quantities in each corresponding sequence;
- summing the fuel-burn quantities over the planned flight to obtain a fueling estimate;
- and
- fueling the aircraft based in part on the fueling estimate.
A trained machine comprising:
- an input engine configured to receive at least one sequence of multivariate flight data recorded during a prior flight;
- a prediction engine configured to predict a sequence of fuel-burn quantities over a planned flight based on at least one sequence of multivariate flight data recorded during a prior flight and on a hidden state of the trained machine,
- wherein for each of a pre-selected series of prior flights, a corresponding sequence of multivariate flight data recorded during the prior flight is processed in a trainable machine to develop the hidden state, which minimizes an overall residual for replicating the fuel-burn quantities in each corresponding sequence
- a summation engine configured to sum the fuel-burn quantities over the planned flight, to obtain a fueling estimate;
- and
- an output engine configured to output the fueling estimate.
A trainable machine comprising:
- an input engine configured to receive, for each of a pre-selected series of prior flights, a corresponding sequence of multivariate flight data recorded during the prior flight;
- a training engine configured to process each corresponding sequence to develop a hidden state, which minimizes an overall residual for replicating the fuel-burn quantities in each corresponding sequence;
- an output engine configured to expose at least a portion of the hidden state.
Dependencies are inferred from the claim text.