System and method for aircraft flight control
There is provided an aircraft flight control system comprising: a computing arrangement including an input interface and an output interface; wherein in operation the computing arrangement executes instructions to provide indications related to an estimated atmospheric contamination risk to at least one aircraft at selected locations and altitudes or pressures, by (i) receiving at least one aircraft flight plan data from the input interface; wherein at least one aircraft flight plan data includes at least one of time, a pressure or an altitude, a trajectory and a location representing at least one aircraft flight; (ii) determining the estimated atmospheric contamination risk using a measure of the at least one atmospheric contaminant for the at least one aircraft flight 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 (iii) providing, via the output interface, a resultant indication related to the estimated atmospheric contamination risk to the at least one aircraft.
1 . An aircraft flight control system, comprising:
a computing arrangement including an input interface and an output interface, wherein in operation the computing arrangement executes instructions to provide indications related to an estimated atmospheric contamination risk to at least one aircraft at selected locations and altitudes or pressures, by:
(i) receiving at least one aircraft flight plan data from the input interface, wherein at least one aircraft flight plan data includes at least one of time, a pressure or an altitude, a trajectory and a location representing at least one aircraft flight;
(ii) determining the estimated atmospheric contamination risk using a measure of the at least one atmospheric contaminant for the at least one aircraft flight 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
(iii) providing, via the output interface, a resultant indication related to the estimated atmospheric contamination risk to the at least one aircraft, wherein the estimated atmospheric contamination risk is calculated by using 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 aircraft flight control system is configured to automatically adopt a modified flight plan having lower atmospheric contamination risk based on the resultant indication.
2 . The aircraft flight control system of claim 1 , wherein, when in operation, the computing arrangement incorporates a calculation of at least one of spatial or temporal uncertainty to derive the indication related to the estimated atmospheric contamination risk.
3 . The aircraft flight control system of claim 1 , wherein the computing arrangement further comprises a database of at least one of aircraft flight plan variables or air traffic constraints, wherein in operation the computing arrangement calculates at least one modified aircraft flight plan for the at least one aircraft flight based on at least one of aircraft flight plan variables or air traffic constraints, and generates an estimated atmospheric contamination risk for the modified aircraft flight plan for comparison with the estimated atmospheric contamination risk of at least one aircraft flight plan.
4 . The aircraft flight control system of claim 1 , wherein further variables are received by the input interface and utilized by the computing arrangement to iterate the measure of at least one atmospheric contaminant with the further variables to provide the estimated atmospheric contamination risk, wherein said further variables including one or more of: engine or aircraft control, loading or operational parameters, engine or aircraft model and type information, sensor data, weather parameters, temperatures, speeds, altitudes, mass flow rates, fuel flow rates, vibration measures, inspection results and wear estimates, and wherein the measure of at least one atmospheric contaminant is iterated by defining at least one boundary condition which represents at least one of a weather or atmospheric contaminant at a time.
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.
6 . The method of claim 5 , wherein the method utilizes a calculation of at least one of spatial or temporal uncertainty to derive the indication related to the estimated atmospheric contamination risk.
7 . The method of (for) controlling aircraft flight of claim 5 , wherein the at least one atmospheric contaminant comprises one or more of: dust, organic particles, volcanic ash, salt, sulphur dioxide and sulphate ions, and the estimated atmospheric contaminant risk comprises an exposure index indicative of the concentration or amount of atmospheric contaminants estimated to have passed through the aircraft engines.
8 . The method of (for) controlling aircraft flight of claim 7 , wherein the exposure index comprises a weighted total exposure to a plurality of atmospheric contaminants.
9 . The method of (for) controlling aircraft flight of claim 5 , wherein the method is performed as a Monte Carlo model to provide a probability, expectation or standard deviation for the forecast of the atmospheric contaminant risk.
10 . The method of (for) controlling aircraft flight of claim 5 , wherein the method further comprises post-processing the estimated atmospheric contaminant risk to apply at least one of a spatial or temporal uncertainty calculation.
11 . The method of (for) controlling aircraft flight of claim 10 , wherein the post-processing comprises deriving a spatially smoothed probability.
12 . The method of (for) controlling aircraft flight of claim 11 , wherein the post-processing comprises applying an approximation to Bayes' theorem.
13 . The method of (for) controlling aircraft flight of claim 5 , wherein the method further comprises applying an optimisation to reduce the atmospheric contamination risk versus at least one cost metric associated with alternate flight plan.
14 . A computer program product comprising instructions to cause the system of claim 1 to carry out the method of claim 5 .
15 . The aircraft flight control system of claim 1 , further comprising an aircraft anti-icing system comprising:
a computing arrangement including at least one input interface, a processor and at least one output interface; and
an anti-icing apparatus communicatively coupled to the output interface;
wherein the input interface is adapted to receive an ice water content data value, and to transmit the ice water content data value to the processor, and
wherein the processor is adapted to compare the ice water content data value to a minimum threshold value in order to determine if the ice water content data value is above the minimum threshold value, and to turn the anti-icing apparatus on when it is determined that the ice water content data value is above the minimum threshold value, and to turn the anti-icing apparatus off when it is determined that the ice water content data value is below the minimum threshold value.
16 . The method of operating an aircraft anti-icing system of claim 15 , using a computer arrangement comprising an input interface, a processor and an output interface coupled to an anti-icing apparatus, the method comprising:
receiving an ice water content data value;
determining whether the received ice water content data value is above a minimum threshold value; and
turning on the anti-icing apparatus when it is determined that the received ice water content data value is above the minimum threshold value.
17 . The method of claim 16 employed in combination with the method of claim 5 .