Method and system for assisting in the flight management of an aircraft in terms of optimizing the operating costs of said aircraft
11195420 · 2021-12-07
Assignee
Inventors
- Xavier Blanchon (Toulouse, FR)
- Guillaume Boyer (Toulouse, FR)
- Guillaume Meulle (Toulouse, FR)
- Sonia Vautier (Toulouse, FR)
Cpc classification
G01C23/00
PHYSICS
International classification
G05D1/10
PHYSICS
G01C23/00
PHYSICS
G05D1/00
PHYSICS
Abstract
A method for assisting in a flight management of an aircraft calculates a local cost function CF(xi, hj) at various altitudes hj along a planned vertical reference flight trajectory over a discrete set of points P(xi, hj) which forms a two-dimensional grid in which the planned vertical reference flight trajectory varies, the local cost function CF(xi, hj) being calculated locally at each point P(xi, hj) according to aircraft data and environmental data predicted at said local point P(xi, hj). Then, for each point P(xi, hj) of the grid, the method determines a neighbourhood including the point P(xi, hj), and associates a colour K(xi, hj) therewith that is dependent on the value of the local cost function CF(xi, hj) using a predetermined bijective lookup transformation. Next, the method displays the coloured grid formed by the coloured neighbourhoods.
Claims
1. A method for assisting in a flight management of an aircraft, implemented by an onboard or ground-based flight management assist system, the method comprising: in a first step, calculating and delivering a planned vertical reference flight trajectory on the basis of a flight plan entered beforehand and validated by a flight crew of the aircraft; in a second step, calculating a local cost function CF(xi, hj), representing a predetermined flight operational cost, at various altitudes hj along the planned vertical reference flight trajectory over a discrete set of points P(xi, hj), defined by an abscissa xi and an ordinate hj, respectively, and parametrized by a first integer abscissa index i and a second integer index j, respectively, so as to form the nodes of a two-dimensional grid of a frame of reference in which the planned vertical reference flight trajectory varies, the calculation being performed locally at each point P(xi, hj) of the discrete set of points according to aircraft data and environmental data predicted at said each point P(xi, hj); and in a third step, determining, for each point P(xi, hj) of the discrete set of points, a compact neighbourhood of predetermined shape including said each point P(xi, hj), and associating, with said each point P(xi, hj), a colour K(xi, hj) that is dependent on the value of the local cost function calculated for said each point P(xi, hj) using a predetermined bijective lookup transformation T or table, in a fourth step, consecutive to the third step, consisting in displaying, by means of a vertical trajectory display, a coloured map formed by the compact neighbourhoods of all of the points P(xi, hj) of the two-dimensional grid, wherein the method further comprises: a fifth step of calculating positions and amplitudes of an integer number NP of stages, each stage being defined within a given coloured neighbourhood, which optimizes an operating cost of a flight of the aircraft, based on said flight plan; and a sixth step, consecutive to the fifth step, of creating an optimal trajectory in a predicted environment using the calculated positions and the calculated amplitudes of the NP stages; and a seventh step, consecutive to the sixth step, of displaying the planned vertical reference flight trajectory and the optimal trajectory in the predicted environment as a superimposition on the coloured map so as to clearly distinguish the optimal trajectory from the planned vertical reference flight trajectory.
2. The method for assisting in the flight management of the aircraft according to claim 1, wherein: the colour representing a cost, which does not necessitate a modification of the planned vertical reference flight trajectory, corresponds to a currently calculated cost on the planned vertical reference flight trajectory, or corresponds to a mean cost (Cmax+Cmin)/2 over the range of variation in the operational cost defined by a first, minimum cost value Cmin and a second, maximum cost value Cmax.
3. The method for assisting in the flight management of the aircraft according to claim 1, wherein: for each point P(xi, hj) of the discrete set of points, the second step successively carries out a first sub-step in which an optimum flight Mach Mopt is calculated on the basis of the planned vertical reference flight trajectory in terms of position of the aircraft, speed of the aircraft mass of the aircraft, predicted temperature information and predicted wind information, and a database of aircraft performance; a second sub-step in which, on the basis of the calculated optimum Mach Mopt and the predicted wind information at said each point P(xi, hj), a ground speed GS(xi, hj) of the aircraft and an instantaneous fuel consumption FF(xi, hj) are calculated; and a third sub-step in which the local cost function at said each point P(xi, hj) is an operating cost CF(xi, hj) which is dependent on the ground speed GS(xi, hj) of the aircraft and on the instantaneous fuel consumption FF(xi, hj) at said each point P(xi, hj) of the two-dimensional grid.
4. The method for assisting in the flight management of the aircraft according to claim 3, wherein: at said each point P(xi, hj), the local operational cost CF(xi, hj) is calculated according to: a first expression CF(xi, hj)=(FF(xi, hj)+CI *60)/GS(xi, hj), in which CI denotes a cost index; or a second expression CF(xi, hj)=FF(xi, hj)/GS(xi, hj).
5. The method for assisting in the flight management of the aircraft according to claim 4, wherein the expression for calculating the local operational cost CF(xi, hj) can be selected from either of the first expression and the second expression.
6. The method for assisting in the flight management of the aircraft according to claim 1, further comprising: an eighth step, consecutive to the seventh step, of updating and re-displaying the optimal trajectory in the predicted environment when trajectory update conditions are met.
7. The method for assisting in the flight management of the aircraft according to claim 6, in which the trajectory update conditions include at least one of the following conditions: an update of the weather conditions; a change in a cost index; a modification of a lateral profile or a vertical profile of said flight plan in the form of a modification of the route or an insertion of an altitude restriction, an insertion of a speed restriction or an insertion of a time restriction, or a modification of a cruising altitude associated with the flight plan; or a consideration of a locally measured wind that differs from the predicted wind information.
8. A system for assisting in a flight management of an aircraft, comprising one or more electronic processing computers, the one or more electronic processing computers being configured to receive data from a flight crew of the aircraft, wherein the system further comprises: at least one display for displaying one or more vertical flight trajectories; and a meteorological database; the one or more electronic processing computers and one of the at least one display being configured, in a first step, to deliver a planned vertical reference flight trajectory on the basis of a flight plan entered beforehand and validated by the flight crew; wherein the one or more electronic processing computers are configured to: calculate a local cost function CF(xi, hj), representing a predetermined flight operational cost, at various altitudes hj along the planned vertical reference flight trajectory over a discrete set of points P(xi, hj), defined by an abscissa xi and an ordinate hj, respectively, and parametrized by a first integer abscissa index i and a second integer index j, respectively, so as to form a two-dimensional grid in which the planned vertical reference flight trajectory varies, the local cost function CF(xi, hj) being calculated locally at each point P(xi, hj) of the discrete set of points according to aircraft data and environmental data predicted at said each point P(xi, hj); and determine, for each point P(xi, hj) of the discrete set of points, a compact neighbourhood of predetermined shape including said each point P(xi, hj), and associating, with said each point P(xi, hj), a colour K(xi, hj) that is dependent on the value of the local cost function calculated for said each point P(xi, hj) using a predetermined bijective lookup transformation T or table, display, by means of a vertical trajectory display, a coloured map formed by the compact neighbourhoods of all of the points P(xi, hj) of the two-dimensional grid, wherein the system is further configured to: calculate positions and amplitudes of an integer number NP of stages, each stage being defined within a given coloured neighbourhood, which optimizes an operating cost of a flight of the aircraft, based on said flight plan; create an optimal trajectory in a predicted environment using the calculated positions and the calculated amplitudes of the NP stages; and display the planned vertical reference flight trajectory and the optimal trajectory in the predicted environment as a superimposition on the coloured map so as to clearly distinguish the optimal trajectory from the planned vertical reference flight trajectory.
9. The system for assisting in the flight management of the aircraft according to claim 8, wherein: at least one vertical trajectory display is configured to display a coloured map K(xi, hj) formed by the compact neighbourhoods and associated colours determined for the discrete set of points P(xi, hj).
10. The system for assisting in the flight management of the aircraft according to claim 8, wherein: the colour representing a cost, which does not necessitate a modification of the planned vertical reference flight trajectory, corresponds to a currently calculated cost on the planned vertical reference flight trajectory, or corresponds to a mean cost (Cmax+Cmin)/2 over the range of variation in the cost defined by a first, minimum cost value Cmin and a second, maximum cost value Cmax.
11. The system for assisting in the flight management of the aircraft according to claim 8, wherein: the one or more electronic processing computers are configured, in the step of calculating the local cost function CF(xi, hj), and for each point P(xi, hj) of the discrete set of points, to successively carry out; a first sub-step in which an optimum flight Mach Mopt is calculated on the basis of the planned vertical reference flight trajectory in terms of position of the aircraft, speed of the aircraft, mass of the aircraft, predicted temperature information, predicted wind information, and a database of aircraft performance; a second sub-step in which, on the basis of the calculated optimum Mach Mopt and the predicted wind information at said each point P(xi, hj), a ground speed GS(xi, hj) of the aircraft and an instantaneous fuel consumption FF(xi, hj) are calculated; and a third sub-step in which the local cost function at said each point P(xi, hj) is a local operational cost which is dependent on the ground speed GS(xi, hj) of the aircraft and on the instantaneous fuel consumption FF(xi, hj) at said each point P(xi, hj) of the two-dimensional grid.
12. The system for assisting in the flight management of the aircraft according to claim 8, wherein: the meteorological database is on board the aircraft, or located on the ground while being physically embedded in or connected to a ground station that is remote from the aircraft, the ground station being connected to the one or more electronic processing computers via a telecommunications link.
13. A system for assisting in a flight management of an aircraft, comprising one or more electronic processing computers, the one or more electronic processing computers being configured to receive data from a flight crew of the aircraft, wherein the system further comprises: at least one display for displaying one or more vertical flight trajectories; and a meteorological database; the one or more electronic processing computers and one of the at least one display being configured, in a first step, to deliver a planned vertical reference flight trajectory on the basis of a flight plan entered beforehand and validated by the flight crew; wherein the one or more electronic processing computers are configured to: calculate a local cost function CF(xi, hj), representing a predetermined flight operational cost, at various altitudes hj along the planned vertical reference flight trajectory over a discrete set of points P(xi, hj), defined by an abscissa xi and an ordinate hj, respectively, and parametrized by a first integer abscissa index i and a second integer index j, respectively, so as to form a two-dimensional grid in which the planned vertical reference flight trajectory varies, the local cost function CF(xi, hj) being calculated locally at each point P(xi, hj) of the discrete set of points according to aircraft data and environmental data predicted at said each point P(xi, hj); and determine, for each point P(xi, hj) of the discrete set of points, a compact neighbourhood of predetermined shape including said each point P(xi, hj), and associating, with said each point P(xi, hj), a colour K(xi, hj) that is dependent on the value of the local cost function calculated for said each point P(xi, hj) using a predetermined bijective lookup transformation T or table, wherein: the one or more electronic processing computers is a single processing computer having a security level configured to calculate the planned vertical reference flight trajectory, a cost grid, and an optimal trajectory in a predicted environment; a single display is configured to display, at the same time, the planned vertical reference flight trajectory, the cost grid, and the optimal trajectory in the predicted environment, said cost grid comprising a box associated with each point P(xi, hj) of the discrete set of points, each box of the cost grid having a colour which depends on the calculated local cost function for each respective point P(xi, hj); or the one or more electronic processing computer includes a first processing computer having a security level, configured to calculate the planned reference trajectory, and a second processing computer having a security level that is lower than the security level of the first processing computer, configured to calculate the cost grid, and an optimal trajectory in the predicted environment; a first display is configured to display the planned reference trajectory and a second display is configured to display the cost grid, the planned reference trajectory and the optimal trajectory in the predicted environment.
Description
BRIEF DESCRIPTION OF THE DRAWINGS
(1) The invention will be better understood on reading the description of several embodiments which will follow, given solely by way of example and while referring to the drawings in which:
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DETAILED DESCRIPTION
(7) A method for assisting in the flight management of an aircraft according to the invention comprises the following main steps consisting in:
(8) calculating and updating, using a computer having access to the data of a flight management system or using the flight management system and to meteorological forecast updates, an optimal trajectory in the predicted environment, in particular in the meteorological environment; then
(9) calculating, along a reference flight plan trajectory forecast or planned by the flight management system FMS, at given curvilinear distance intervals and at various altitudes, an instantaneous operating cost of the flight; then
(10) subsequently applying a colour scale, associating a colour with an operating cost, to zones, neighbourhoods or cells, each respectively including an operating cost calculating point, the calculating points forming the nodes of a two-dimensional grid in which the trajectory in the predicted environment varies, and all of the coloured zones, neighbourhoods or cells forming a coloured map; and
(11) displaying this coloured map on a screen of vertical display VD type;
(12) displaying the optimal trajectory in the predicted environment as a superimposition in such a way as to allow it to be differentiated from the reference trajectory planned by the FMS.
(13) Thus, the method for assisting in the flight management of an aircraft in terms of optimizing a flight operating cost such as for example the fuel consumption is based on:
(14) calculating the instantaneous operating cost, for example the instantaneous fuel consumption, along the flight plan;
(15) displaying, in the form of a colour code, those zones having an unfavourable cost, for example higher consumption, or conversely those zones having a favourable cost, for example lower consumption.
(16) This flight management assist method can be carried out both inside a flight management system FMS and in the framework of an onboard open architecture or an architecture distributed on board and/or on the ground.
(17) It should be noted that the onboard flight management computers that are currently used are capable of:
(18) predicting the position, the speed and the mass of an aircraft at a time t, i.e. calculating the trajectory of the aircraft;
(19) determining an optimal cruising speed on the basis of a cost index CI entered by the crew;
(20) estimating the instantaneous fuel consumption and the direct operating costs of a flight.
(21) According to
(22) In a prior step 4 of selecting an operating cost type or an “item of information of interest” from a set of operating cost types or items of information of interest, the option to select a preference to display an item of information of interest from direct operating costs and an instantaneous fuel consumption is offered to the crew using one or more selection commands.
(23) Then, in a first step 6, a planned vertical reference flight trajectory is calculated and delivered on the basis of a flight plan, which is entered and validated by the crew.
(24) Next, in a second step 8, a local cost function CF(xi, hj), representing a predetermined flight operating cost, is calculated at various altitudes hj along the planned reference flight trajectory over a discrete set of points P(xi, hj), defined by an abscissa xi and an ordinate hj, respectively, and parameterized by a first integer abscissa index i and a second integer index j, respectively, so as to form the nodes of a two-dimensional grid of a frame of reference in which the planned vertical reference flight trajectory varies, the calculation being performed locally at each point P(xi, hj) according to aircraft data and environmental data predicted at said local point P(xi, hj).
(25) The first index i varies from 1 to N and the second index j varies from 1 to P, N and P denoting two integers that are larger than or equal to 2 and 3, respectively.
(26) For each point P(xi, hj), i varying from 1 to N and j varying from 1 to P, the second step 8 includes first, second and third sub-steps 12, 14 and 16, which are carried out successively.
(27) In the first sub-step 12, an optimum flight Mach Mopt is calculated on the basis of the predicted flight trajectory in terms of position, speed and mass of the aircraft, predicted temperature and wind information and a database of aircraft performance.
(28) Then, in the second sub-step 14, on the basis of the optimum Mach Mopt calculated in the first sub-step 12 and the predicted wind at P(xi, hj; a ground speed GS(xi,hj) of the aircraft and an instantaneous fuel consumption FF(xi,hi) (fuel flow) are calculated.
(29) Next, in the third sub-step 16, the local operating cost function CF(xi, hj) at P(xi, hj) is calculated as a local operating cost which is dependent on the ground speed GS(xi, hj) of the aircraft and on the instantaneous fuel consumption FF(xi,hj) at the point P(xi, hj) of the grid.
(30) At each point P(xi, hj), the operating cost CF(xi, hj) may be calculated according to:
(31) a first expression CF(xi, hj)=(FF(xi, hj)+CI*60)/GS(xi, hj), in which CI denotes a cost index; or
(32) a second expression CF(xi, hj)=FF(xi, hj)/GS(xi, hj).
(33) The first expression relates to the direct operating costs while the second expression relates to an instantaneous fuel consumption.
(34) It should be noted that the step of calculating the operating costs at the nodes P(xi, hj) of the grid is implemented by using, as input data, the data arising from a calculation for predicting the trajectory and not the current state of the aircraft.
(35) Then, in a third step 22 consecutive to the second step 8, for each point P(xi, hj), a compact neighbourhood or cell of predetermined shape including said point P(xi, hj) is determined and, with said point P(xi, hj), a colour K(xi, hj) is associated that is dependent on the value of the local cost function CF(xi, hj) using a predetermined bijective lookup transformation T or table according to the following equation K(xi hj)=T (CF(xi,hj)).
(36) The transformation T has one or other of the following features:
(37) the colour representing a “neutral” cost, i.e. one which does not necessitate a modification of trajectory, corresponds to the currently calculated cost on the planned trajectory;
(38) the colour representing a “neutral” cost, i.e. one which does not necessitate a modification of trajectory, corresponds to the mean cost (Cmax+Cmin)/2 over the range of variation in the cost defined by a first, minimum cost value Cmin and a second, maximum cost value Cmax.
(39) Next, in a fourth step 24 consecutive to the third step 22, a vertical trajectory display VD displays a coloured map K(xi, hj) formed by the coloured neighbourhoods or coloured cells of all of the points P(xi, hj) of the two-dimensional grid.
(40) Then, in a fifth step 26, positions and amplitudes of a whole number NP of stages which optimize the operating cost of the flight are calculated.
(41) Next, in a sixth step 28 consecutive to the fifth step 26, an optimal trajectory in the predicted environment is created by using the calculated positions and amplitudes of the NP stages.
(42) The fifth and sixth steps 26 and 28 may be implemented by using the method for developing a vertical trajectory profile comprising multiple altitude levels, described in U.S. Pat. No. 9,290,262 B2.
(43) In a seventh step 30 consecutive to the sixth step 28, the optimal trajectory in the predicted environment is displayed as a superimposition on the coloured map so as to clearly distinguish it from the planned reference trajectory.
(44) Then, in an eight step 32 consecutive to the seventh step 30 of updating and re-displaying, the optimal trajectory in the predicted environment is updated and re-displayed when trajectory update conditions are met.
(45) The optimal trajectory update conditions in the predicted environment may for example be, without being exhaustive:
(46) an update of the weather conditions; and/or
(47) a change in a cost index; and/or
(48) a modification of the lateral or vertical flight plan in the form of a modification of the route or an insertion of an altitude, speed or time restriction, or a modification of the cruising altitude, of accounting for a locally measured wind that differs significantly from the predicted wind.
(49) Next, in an optional ninth step 34, the crew has the option to activate the optimal trajectory in the predicted environment in the flight management system FMS.
(50) The pilot may thus use the optimal trajectory in the predicted environment as an “objective to be met” when negotiating with the air traffic control authorities.
(51) In the case in which the pilot wishes to take the initiative in changing flight level, he or she may request clearances allowing him or her to follow the optimal trajectory.
(52) In the case in which this request is refused, the pilot may use the coloured map according to the invention to view the impact of the clearance given by the air traffic control authorities.
(53) In the case in which the air traffic control authorities request that the pilot change level, they may similarly use the coloured map according to the invention to view the impact of the modification and potentially transmit a counter-proposal.
(54) The invention thus improves the process and the relevance of the decision-making relating to changing flight level by allowing the pilot to view:
(55) the trajectory of the flight management system FMS currently followed by the aircraft;
(56) the instantaneous operating costs of the flight at each point in the airspace;
(57) the optimal trajectory in the environment that he or she should attempt to follow.
(58) According to
(59) The points P(xi, hj) are defined by an abscissa xi of ground distance traveled and an altitude ordinate hj, respectively, and parameterized by a first integer abscissa index i and a second integer index j, respectively, i varying from 1 to N and j varying from 1 to P, N and P being two predetermined integers that are larger than 2 and 3, respectively.
(60) The coloured neighbourhoods 58 respectively include the points P(xi, hj) and are coloured by colours K(xi, hj) that are dependent on the value of an instantaneous operating cost function CF(xi, hj), such as for example one of those defined in
(61) According to the screen display illustrated in
(62) The grid of instantaneous operating costs 62 is also displayed on the screen 54 with each neighbourhood 58, associated with a node P(xi, hj), coloured according to the value of the operating cost calculated at said node P(xi, hj). Here, in a particular manner, the neighbourhood or cell associated with a node P(xi, hj) is a rectangular box of which the point P(xi, hj) is the upper left corner of said box. Each box of the coloured grid has a colour according to the value of the operating cost calculated at its upper left corner. Here, for the sake of simplicity of the illustration in
(63) The size of the boxes 58 is chosen so as to have a visual representation that does not interfere with the use of the display by the crew. Furthermore, the shape of the boxes may be other than that of a rectangle.
(64) The optimal trajectory 68 in the predicted environment and the planned reference trajectory 66 are superimposed on the coloured grid 62 of the operating costs.
(65) In general, a system for assisting in the flight management of an aircraft comprises:
(66) one or more electronic processing computers;
(67) data entry means to allow a crew to enter data into the one or more computers;
(68) at least one display for displaying one or more vertical flight trajectories; and
(69) a meteorological database;
(70) The one or more electronic processing computers and one of the at least one display are configured:
(71) in a first step, to calculate and deliver a planned vertical reference flight trajectory on the basis of a flight plan entered and validated by the crew;
(72) in a second step, to calculate a local cost function CF(xi, hj), representing a predetermined flight operating cost, at various altitudes hj along the planned reference flight trajectory over a discrete set of points P(xi, hj), defined by an abscissa xi and an ordinate hj, respectively, and parameterized by a first integer abscissa index i and a second integer index j, respectively, so as to form the nodes of a two-dimensional grid of a frame of reference in which the planned vertical reference flight trajectory varies, the calculation being performed locally at each point P(xi, hj) according to aircraft data and environmental data predicted at said local point P(xi, hj); and
(73) in a third step, for each point P(xi, hj), to determine a compact neighbourhood of predetermined shape including said point P(xi, hj) and associating, with said point P(xi, hj), a colour K(xi, hj) that is dependent on the value of the local cost function CF(xi, hj) using a predetermined bijective lookup transformation or table according to the equation K(xi, hj)=T (CF(xi, hj)).
(74) One of the at least one vertical trajectory display is configured, in a fourth step consecutive to the third step, to display a coloured map K(xi, hj) formed by the coloured neighbourhoods or coloured cells of all of the points P(xi, hj) of the two-dimensional grid.
(75) The colour representing a “neutral” cost, which does not necessitate a modification of the vertical trajectory, corresponds to the currently calculated cost on the planned reference trajectory, or the colour representing a “neutral” cost, which does not necessitate a modification of trajectory, corresponds to a mean cost (Cmax+Cmin)/2 over the range of variation in the cost defined by a first, minimum cost value Cmin and a second, maximum cost value Cmax.
(76) The one or more electronic processing computers are configured, in the second step and for each point (xi, hj), to successively carry out:
(77) a first sub-step in which an optimum flight Mach Mopt is calculated on the basis of the predicted trajectory in terms of position, speed and mass of the aircraft, predicted temperature and wind information and a database of aircraft performance;
(78) a second sub-step in which, on the basis of the calculated optimum Mach Mopt and the predicted wind at P(xi, hj), a ground speed GS of the aircraft and an instantaneous fuel consumption FF are calculated; and
(79) a third sub-step in which the local operating cost function CF(xi, hj) at P(xi, hj) is calculated as an operating cost which is dependent on the ground speed GS(xi, hj) of the aircraft and on the instantaneous fuel consumption FF(xi,hj) at the point P(xi, hj) of the grid.
(80) In particular, the flight management assist system according to the invention may be deployed via a computer of FMS type or in a system integrating and interconnecting a computer of FMS type with an electronic flight tablet of EFB type.
(81) According to
(82) Here, a single processing computer having a high security level, this computer forming the flight management system FMS 104, is configured to calculate the planned reference trajectory, the cost grid, and an optimal trajectory in the predicted environment, and one and the same display CDS 108 (command and display system) is configured to display the planned reference trajectory, the cost grid, and the optimal trajectory in the predicted environment at the same time.
(83) Here, the task of calculating the cost grid is assigned to a TRAJ-PRED component of the FMS which has the algorithmic means necessary for calculating the trajectory, since it is necessary to have performed the latter to be able to calculate the cost grid.
(84) The flight management system FMS 104 comprises:
(85) a flight plan determination module 112, referred to by the acronym FPLN (Flight PLaNning), for inputting geographical elements forming the skeleton of the route to be followed, such as the points dictated by the departure and arrival procedures, the waypoints, and the air corridors, commonly called the “airways”, and for storing a meteorological model.
(86) a trajectory prediction module 114, referred to by the acronym TRAJ-PRED, for constructing an optimized vertical profile on the lateral trajectory, and for providing distance, time, altitude, speed, fuel and wind estimates, in particular, at each point, on each change of flight parameters and on each change of destination, which will be displayed to the crew; this prediction module 114 is configured to calculate the planned reference trajectory, the grid of operating costs and the optimal trajectory in the predicted environment;
(87) a human-machine interface (HMI) 116 for entering FPLN and meteorological data and for grouping this information together on one or more display screens in the form of display pages known to the person skilled in the art; this interface HMI is configured here to implement the colour coding of the cells of the grid of operating costs.
(88) According to
(89) The group of electronic processing computers of the flight management assist system 152 includes a first processing computer 164 having a high security level, here the computer of the flight management system FMS, which is configured to calculate the planned reference trajectory, and a second processing computer, here the computer EFB 154, having a security level that is lower than that of the first processing computer 164, which is configured to calculate the cost grid and the optimal trajectory in the predicted environment.
(90) Here, a first display CDS 166 is configured to display the planned reference trajectory and a second display 168, which is associated with the second computer EFB 154, is configured to display the grid of operating costs and the optimal trajectory in the predicted environment.
(91) The flight management system FMS 158 comprises:
(92) a flight plan determination module 172, referred to by the acronym FPLN (Flight PLaNning), for inputting geographical elements forming the skeleton of the route to be followed, and for storing a meteorological model;
(93) a trajectory prediction module 174, referred to by the acronym TRAJ-PRED, for constructing an optimized vertical profile on the lateral trajectory, and for providing distance, time, altitude, speed, fuel and wind estimates, in particular, at each point, on each change of flight parameters and on each change of destination, which will be displayed to the crew; this prediction module 174 calculates here the planned reference trajectory, the grid of operating costs and the optimal trajectory in the predicted environment;
(94) a human-machine interface (HMI) 176 for entering FPLN and meteorological data and for grouping this information together on one or more display screens in the form of display pages known to the person skilled in the art.
(95) According to
(96) In the flight management assist system 182, the electronic flight tablet EFB 186 is configured, in the manner of the electronic flight bag EFB of
(97) The electronic flight tablet EFB 186 is connected to a flight management system FMS 188 via an avionics bus 192.
(98) Here, the meteorological database 184 is incorporated in a meteorological data server MTO 194, the server being connected to a ground station 196 for transmitting the meteorological data to the electronic flight bag 186 via a ground-to-air link interface 198 and the avionics bus 192.
(99) As a variant, the meteorological database is on board the aircraft or physically embedded in a ground station that is remote from the aircraft and connected to the processing computer(s) via a telecommunications link.
(100) As a variant, the meteorological data could be entered by the crew, as illustrated in
(101) In general, the one or more electronic processing computers are comprised in the set of computers of an onboard avionics system and an open “non-avionics” management system, and/or the one or more electronic processing computers are comprised in the set of computers of a flight management system FMS, of the onboard EFBs and of the computers of a ground tool of an operator, which computers are interfaced with the flight management system FMS. Thus the method for assisting in the flight management of an aircraft may be implemented in an onboard flight management avionics system, in an onboard tablet of EFB type, in a ground tool of the operator which is interfaced with the onboard flight management system, or by distribution over the three types of systems.