Method for generating data relating to the support of at least one aircraft and associated tracking method

Abstract

Method for generating data relating to the support of at least one aircraft and associated tracking method The method for generating evaluated data of a support parameter of availability for the flight of an aircraft comprises: - the acquisition of actual data; - the definition of data to be tested by an operator (O). The method is implemented in a digital twin of a support infrastructure (10), the actual data resulting from real data provided by a facility intended for the manufacture and / or maintenance of the aircraft and / or by a facility intended for the use of the aircraft, the generation of the evaluated data comprising the application of at least one simulation model to the actual data and to be tested within an assembly file comprising: - a list of assembled simulation models; - at least one data flow to, between and from the assembled simulation models. Figure for abstract: Figure 2

Description

Title of the invention: Method for generating data relating to the support of at least one aircraft and associated tracking method

[0001] The present invention relates to a method for generating evaluated data representative of at least one evaluated support parameter on which the availability for flight of at least one aircraft for a given mission depends,

[0002] the support parameters being representative:

[0003] - the manufacture of at least one aircraft and / or its components;

[0004] - maintenance of at least one aircraft and / or its components;

[0005] - transport and storage of the components of at least one aircraft; and / or

[0006] - the use of at least one aircraft for the flight;

[0007] the method comprising:

[0008] - a step of acquiring effective data representative of at least one actual support parameter distinct from the evaluated support parameter;

[0009] - a step of defining data to be tested representative of at least one parameter support parameter to be tested, the support parameter to be tested being distinct from the evaluated support parameter and the actual support parameter, the data to be tested being definable by at least one action of an operator on a human-machine interface.

[0010] The success of a flight mission, whether for civil or military purposes, depends on the availability for flight of each aircraft in a fleet of aircraft in the short, medium and long term.

[0011] Entities using aircraft, such as, for example, armed forces, airlines or private companies owning aircraft, require a certain control over the availability of their aircraft for flight.

[0012] Usually, this requirement is imposed on an entity which, in general, ensures the interface between the entities using aircraft and entities dealing with the manufacture and / or maintenance of aircraft or its components.

[0013] Such an intermediate entity is thus responsible for the organization and planning of the operations to be carried out on the aircraft according to the needs of the user entities and the capacities of the entities intended for manufacturing and / or maintenance in order to ensure sufficient availability for flight.

[0014] However, predicting the availability for flight of a plurality of aircraft requires taking into account a particularly large number of technical support parameters representative of the manufacture and / or maintenance and / or use of the aircraft and their components for flight.

[0015] This makes it significantly complex to predict the availability for flight of aircraft and particularly tedious the planning of manufacturing, maintenance and use operations of aircraft and their components.

[0016] The aim of the invention is then to propose a method making it possible to evaluate the availability for flight of at least one aircraft for a given mission in a simple, reliable and exhaustive manner, taking into account the technical constraints experienced by the entities involved in operational support.

[0017] To this end, the invention relates to a method implemented in a digital twin of a support infrastructure of at least one aircraft,

[0018] the actual data being determined from real data provided by the support infrastructure comprising:

[0019] - at least one ground installation intended for the manufacture and / or maintenance of at least one aircraft; and / or

[0020] - at least one installation intended for the use of the at least one aircraft for the flight ;

[0021] the method further comprising a step of generating the evaluated data, comprising the application, within the digital twin, of at least one simulation model to the actual data and to the data to be tested within an assembly file comprising:

[0022] - a list of simulation models assembled to generate the evaluated data, the simulation models being representative:

[0023] + the manufacture of aircraft and / or their components;

[0024] + maintenance of aircraft and / or their components;

[0025] + transport and storage of aircraft components; and / or

[0026] + the use of at least one aircraft for the flight;

[0027] - at least one data stream feeding the simulation models, from the real data and data to be tested;

[0028] - at least one data flow between the assembled simulation models; and

[0029] - at least one stream of evaluated data generated by the simulation models assembled.

[0030] The invention thus makes it possible to obtain evaluated support data which are reliable, since these depend on data from the entire support infrastructure, i.e. ground installations intended for manufacturing and / or maintenance but also data from installations intended for the use of aircraft.

[0031] The implementation of the method in the digital twin of the support infrastructure allows for unified consideration of all the infrastructure data. The data relating to the manufacturing and / or maintenance and the data relating to the use of the aircraft, which are usually segregated and therefore technically disjointed, are grouped together in the invention and in technical interaction within the digital twin.

[0032] According to other advantageous aspects of the invention, the method comprises one or more of the following characteristics, taken in isolation or in all technically possible combinations:

[0033] - the at least one support parameter evaluated is chosen from a list comprising:

[0034] - the number of aircraft required to carry out the given mission;

[0035] - the number of flight hours, in particular per unit of time and per aircraft, born necessary to carry out the given mission;

[0036] - an indicator representative of the identity of the at least one aircraft available for the flight ;

[0037] - an indicator representative of a category of at least one aircraft available for the flight, the category of the at least one aircraft being chosen from the list of categories including a marine aircraft, a single-seater aircraft, a two-seater aircraft;

[0038] - an indicator representative of the identity of at least one land or naval base at which is associated with at least one aircraft available for the flight;

[0039] - an indicator of tension experienced by personnel intended to allow the use of at least one aircraft;

[0040] - an indicator of tension experienced by personnel intended to allow manufacturing and / or the maintenance of at least one aircraft;

[0041] - an indicator of availability of mechanical parts necessary for manufacturing and / or the maintenance of at least one aircraft;

[0042] - an indicator of the tension experienced by the air bases;

[0043] - an indicator of tension experienced by a mother air base;

[0044] - a mission launch success rate;

[0045] - the at least one effective support parameter and / or the at least one parameter of support to be tested are chosen from a list including:

[0046] - a number of available aircraft;

[0047] - a number of monthly flight hours per aircraft;

[0048] - a mission date;

[0049] - an operational configuration of the at least one aircraft;

[0050] - a number of spare parts available for the maintenance of the at least one aircraft;

[0051] - a number of staff members available to carry out maintenance of the aircraft;

[0052] - a duration of repair and / or maintenance of the at least one aircraft;

[0053] - a duration of repair and / or maintenance of the components of the at least one aircraft;

[0054] - a parameter representative of the availability of workshops for repair and / or maintenance;

[0055] - the method comprises an assembly step, by an operator and / or by the twin digital, of a plurality of simulation models based on a choice by the operator of at least one evaluated support parameter, to form a simulation macro-model of the at least one evaluated support parameter;

[0056] - the assembly step further depends on a choice by the operator of at least one effective support parameter and / or at least one support parameter to be tested;

[0057] - the method comprises, after the choice of an evaluated support parameter, the pro position to the operator, by the digital twin, of at least one simulation model of the evaluated support parameter, from among a plurality of simulation models available within a simulation model base, and the selection by the operator of a simulation model from among the at least one proposed simulation model, the assembly step further depending on the simulation model of the evaluated support parameter selected;

[0058] - the method comprises saving by the digital twin of the macro-model of simulation of at least one support parameter evaluated in the simulation model base;

[0059] - the method comprises determining input data of the simulation model selected, including:

[0060] - actual data; and / or

[0061] - data derived from actual data by calculation; and / or

[0062] - data to be tested;

[0063] to create at least one data stream feeding the assembled simulation models and / or at least one data stream between the assembled simulation models;

[0064] - the method comprises the definition by the operator and / or by the digital twin of an evaluated data generated from at least one support parameter evaluated from several output data from several simulation models selected by the operator and / or the digital twin to form the macro-model and define at least one flow of generated evaluated data;

[0065] - the evaluated data are representative of the at least one support parameter evaluated at at least one evaluation time subsequent to a present time; and

[0066] - the method comprises a step of determining a time window, the at least one evaluation instant being included in the time window.

[0067] The invention further relates to a method for monitoring at least one evaluated support parameter on which the availability for flight of at least one aircraft for a given mission depends, comprising:

[0068] - a step of generating evaluated data of the at least one support parameter evaluated by a generation method as described above;

[0069] - a step of acquiring real data representative of at least one assessed support parameter;

[0070] - a step of calculating a variation rate representative of a variation between the assessed data and actual data;

[0071] - a step of determining a maximum variation rate;

[0072] - a step of transmitting an alert signal to the operator when the rate of change is greater than the maximum rate of change.

[0073] The invention will appear more clearly on reading the description which follows, given solely by way of non-limiting example, and made with reference to the drawings in which:

[0074] [Fig-1] [Fig.l] is a schematic representation of a support infrastructure of aircraft;

[0075] [Fig.2] [Fig.2] is a schematic representation of the support infrastructure of [Fig.l] and a device for managing the digital twin of the support infrastructure;

[0076] [Fig.3] [Fig.3] is a schematic representation of a portion of the digital twin management device of [Fig.2], relating to the generation of the evaluated data;

[0077] [Fig.4] [Fig.4] is a schematic representation of another portion of the digital twin management device of [Fig.2], relating to the monitoring of an evaluated support parameter;

[0078] [Fig.5] [Fig.5] is a schematic representation of the method for generating evaluated data according to the invention;

[0079] [Fig.6] [Fig.6] is a schematic representation of the method for monitoring a support parameter evaluated according to the invention;

[0080] [Fig.7] [Fig.7] is a schematic representation of an example of display on a human-machine interface of an interface for defining data to be tested;

[0081] [Fig.8] [Fig.8] is a schematic representation of a first example of display on a human-machine interface of generated evaluated data;

[0082] [Fig.9] [Fig.9] is a schematic representation of a second example of display on a human-machine interface of generated evaluated data.

[0083] With reference to [Fig.l], an infrastructure 10 is described for supporting at least one aircraft, in particular a plurality of aircraft.

[0084] The support infrastructure 10 comprises an assembly 12 comprising at least one ground installation 12A, 12B, 12C, 12D intended for the manufacture and / or maintenance of the at least one aircraft. The assembly 12 comprises in particular a plurality of installations 12A, 12B, 12C, 12D.

[0085] For example, the at least one ground installation 12A, 12B, 12C, 12D is an installation included in the following list:

[0086] - a facility for manufacturing spare parts for at least one aircraft;

[0087] - an installation intended for the repair and / or maintenance of at least one aircraft;

[0088] - an installation intended for the management of embedded software in at least one aircraft;

[0089] - a facility for repairing and / or maintaining the components of the at least one aircraft.

[0090] The components of the at least one aircraft are, for example, on-board computers, landing gear, etc.

[0091] The support infrastructure 10 further comprises an assembly 14 comprising at least one installation 14A, 14B, 14C intended for the use of the at least one aircraft for flight. The assembly 14 comprises in particular a plurality of installations 14A, 14B, 14C.

[0092] For example, in a military context, the at least one installation 14A, 14B, 14C is an installation included in the following list:

[0093] - an air base on the ground;

[0094] - an air base at sea, in particular an aircraft carrier;

[0095] - a logistics counter for distributing aircraft spare parts and recovering defective aircraft components.

[0096] Advantageously, the list of installations of the set 14 further comprises:

[0097] - an aircraft repair and / or maintenance workshop;

[0098] - a workshop for repairing and / or maintaining aircraft components.

[0099] For example, the repair and / or maintenance workshops of the set 14 have repair and / or maintenance capacities which are more limited than those of the repair and / or maintenance installations of the set 12. Thus, certain repair and / or maintenance acts must necessarily be carried out in the installations 12A, 12B, 12C, 12D.

[0100] According to another example, in a civil context, the at least one installation 14A, 14B, 14C is an airport.

[0101] The support infrastructure 10 further comprises an intermediate entity 16 intended to provide the interface between the assembly 12 and the assembly 14.

[0102] The intermediate entity 16 is, for example, an entity 16 responsible for the design of at least one aircraft.

[0103] The intermediate entity 16 is capable of interacting with the at least one ground installation 12A, 12B, 12C, 12D, for example, to request the manufacture of spare parts for the at least one aircraft, the repair and / or maintenance of the at least one aircraft, the re repair and / or maintenance of components of at least one aircraft, updating or designing software embedded in at least one aircraft.

[0104] The intermediate entity 16 is capable of interacting with the at least one installation 14A, 14B, 14C to, for example, provide them with maintenance services for the at least one aircraft and ensure the availability for flight of the at least one aircraft.

[0105] For example, the support infrastructure 10, in particular each of the set 12 and the set 14, is capable of generating representative real data:

[0106] - the manufacture of at least one aircraft and / or its components;

[0107] - maintenance of at least one aircraft and / or its components;

[0108] - transport and storage of the components of at least one aircraft; and / or

[0109] - the use of at least one aircraft for the flight.

[0110] For example, the transportation and storage of components depends on material means that enable the transportation and storage of components and human resources that enable the operation of these material means.

[0111] In particular, the support infrastructure 10, in particular each of the set 12 and the set 14, comprises a unit 17 for generating real data, comprising for example at least one sensor, and / or an information unit 18 configured to generate the real data.

[0112] These real data are for example:

[0113] - technical restitution data of aircraft, in particular in terms of maintenance;

[0114] - maintenance management data, in particular data relating to the com aircraft position, data relating to aircraft and / or aircraft component maintenance deadlines;

[0115] - basic logistics data, including stock levels and / or resources available at the various facilities.

[0116] In the following, with reference to figures 2 to 4, a digital twin (or “device shadow”) of the support infrastructure 10 is described. The digital twin of the support infrastructure 10 corresponds to a digital replica of the support infrastructure 10.

[0117] The digital twin is notably implemented in a digital twin management device 20.

[0118] In particular, the digital twin management device 20 is configured to implement a method 100 for generating evaluated data representative of at least one evaluated support parameter on which the availability for the flight of at least one aircraft for a given mission depends, in particular of at least one aircraft supported by the support infrastructure 10.

[0119] The support parameters are representative:

[0120] - the manufacture of at least one aircraft and / or its components;

[0121] - maintenance of at least one aircraft and / or its components;

[0122] - transport and storage of the components of at least one aircraft; and / or

[0123] - the use of at least one aircraft for the flight.

[0124] The at least one support parameter evaluated is, for example, chosen from a list comprising:

[0125] - the number of aircraft required to carry out the given mission;

[0126] - the number of flight hours, in particular per unit of time and per aircraft, born necessary to carry out the given mission;

[0127] - an indicator representative of the identity of the at least one aircraft available for the flight ;

[0128] - an indicator representative of a category of at least one aircraft available for the flight, the category of the at least one aircraft being chosen from the list of categories including a marine aircraft, a single-seater aircraft, a two-seater aircraft;

[0129] - an indicator representative of the identity of at least one land or naval base at which is associated with at least one aircraft available for the flight;

[0130] - an indicator of tension experienced by personnel intended to allow the use of at least one aircraft;

[0131] - an indicator of tension experienced by personnel intended to allow manufacturing and / or the maintenance of at least one aircraft;

[0132] - an indicator of availability of mechanical parts necessary for manufacturing and / or the maintenance of at least one aircraft;

[0133] - an indicator of the tension experienced by the air bases;

[0134] - an indicator of tension experienced by a mother air base;

[0135] - a mission launch success rate, reflecting the proportion of aircraft able to start their mission at a time planned by operational planning, without delay attributable to the support infrastructure 10.

[0136] With reference to [Fig.2], the device 20 comprises a data management unit 40, a simulation unit 60, a design unit 80 and a human-machine interface 95.

[0137] The data management unit 40 comprises a database 42, a data processing module 44 and a learning module 46.

[0138] The database 42 is configured to store:

[0139] - the evaluated data, in particular evaluated data 69 from the unit of if emulation 60;

[0140] - effective data representative of at least one effective support parameter, in particular real data 19 or data from real data 19, coming from units 17, 18; and / or

[0141] - data to be tested representative of at least one support parameter to be tested, including data to be tested 30 from the human-machine interface 95.

[0142] The database 42 is notably configured to receive the actual data 19 generated by the supporting infrastructure 10.

[0143] The effective support parameter is for example distinct from the evaluated support parameter.

[0144] The at least one effective support parameter is, for example, chosen from the list comprising:

[0145] - a number of available aircraft;

[0146] - a number of monthly flight hours per aircraft;

[0147] - a mission date;

[0148] - an operational configuration of the at least one aircraft;

[0149] - a number of spare parts available for the maintenance of the at least one aircraft;

[0150] - a number of staff members available to carry out maintenance of the aircraft;

[0151] - a duration of repair and / or maintenance of the at least one aircraft;

[0152] - a duration of repair and / or maintenance of the components of the at least one aircraft;

[0153] - a parameter representative of the availability of workshops for repair and / or maintenance.

[0154] The actual data correspond for example to the real data 19 provided by the support infrastructure 10 or correspond to data obtained by calculation from the real data 19.

[0155] The support parameter to be tested is for example distinct from the evaluated support parameter and the actual support parameter.

[0156] The at least one support parameter to be tested is, for example, chosen from the list comprising:

[0157] - a number of available aircraft;

[0158] - a number of monthly flight hours per aircraft;

[0159] - a mission date;

[0160] - an operational configuration of the at least one aircraft;

[0161] - a number of spare parts available for the maintenance of the at least one aircraft;

[0162] - a number of staff members available to carry out maintenance of the aircraft;

[0163] - a duration of repair and / or maintenance of the at least one aircraft;

[0164] - a duration of repair and / or maintenance of the components of the at least one aircraft;

[0165] - a parameter representative of the availability of workshops for repair and / or maintenance..

[0166] The data processing module 44 is configured to characterize, qualify and enrich the data stored in the database 42. By “characterize”, we mean distinguishing the data by data type. By “qualify”, we mean determining the capacity of the data to meet certain requirements, for example with a view to their use. By “enrich”, we mean adding additional data to the database, for example for the same type of data.

[0167] The learning module 46 is configured to modify a simulation model base 62 of the simulation unit 60, in particular to improve the models of the simulation model base 62. In particular, the learning module 46 is configured to improve the models as a function of the data stored in the database 42 and as a function of the processing carried out by the processing module 44 on said data stored in the database 42. In particular, the learning module 46 is configured to check the consistency of the models as a function of the data stored in the database 42 and improve said models when an inconsistency is detected. For example, the learning module 46 comprises a neural network.

[0168] The simulation unit 60 is configured to receive actual data, in particular real data 19, data to be tested 30 and / or evaluated data 69 from the data management unit 40 and / or from the human-machine interface 95.

[0169] The simulation unit 60 is configured to generate evaluated data and transmit them to the data management unit 40.

[0170] The simulation unit 60 comprises a simulation model base 62, an effective calculation module 64 for implementing the simulations (in particular a hardware module), a simulation module 66 and an optimization module 68.

[0171] The simulation model base 62 is configured to store a plurality of simulation models.

[0172] The simulation models are representative:

[0173] - the manufacture and / or maintenance of aircraft and / or their components;

[0174] - maintenance of aircraft and / or their components;

[0175] - transport and storage of aircraft components; and / or

[0176] - the use of at least one aircraft for the flight.

[0177] According to a particular example, a model relating to a first type of aircraft can be used, advantageously by being adapted accordingly, for a second type aircraft distinct from the first type of aircraft.

[0178] Each simulation model has a plurality of simulation characteristics, including:

[0179] - a type of input data to be provided to said simulation model;

[0180] - a type of output data provided by said simulation model;

[0181] - an identity of simulation tool used by said simulation model;

[0182] - a level of computing power required by said simulation model; and / or

[0183] - a type of limitation of said simulation model.

[0184] Advantageously, the simulation characteristics of each simulation model are stored in the model base 62 in association with the corresponding simulation model.

[0185] The effective calculation module 64 is capable of executing the simulation models of the simulation model base 62.

[0186] The simulation module 66 is intended to execute the simulation models of the simulation model base 62 by controlling the actual calculation module 64.

[0187] In particular, with reference to [Fig. 3], the simulation module 66 comprises a sub-module 70 for assembling the simulation models, a sub-module 72 for executing a macro-model generated by the design unit 80, a sub-module 74 for storing the data and a sub-module 76 for displaying the generated evaluated data.

[0188] Advantageously, with reference to [Fig.4], the simulation module 66 further comprises a sub-module 78 for generating an alert.

[0189] The simulation model assembly sub-module 70 is configured to assemble disjoint simulation models in an assembly file 81 generated by the design unit 80 and generate a macro-model.

[0190] The macro-model execution sub-module 72 is configured to execute the macro-model and generate the evaluated data representative of at least one evaluated support parameter chosen by an operator O.

[0191] The storage sub-module 74 is configured to store the generated evaluated data, in particular in the database 42 of the data management unit 40.

[0192] The display sub-module 76 is configured to display the evaluated data generated on the human-machine interface 95 for the operator O.

[0193] The alert generation sub-module 78 is configured to, during monitoring of the at least one evaluated support parameter chosen by the operator O, generate an alert when a variation rate representative of a variation between the evaluated data and real data representative of the at least one evaluated support parameter is greater than a maximum variation rate.

[0194] Again with reference to [Fig.2], the optimization module 68 is configured to optimize the results generated by the simulation module 66.

[0195] The design unit 80 is configured to carry out an assembly step 150 of the generation method 100, which will be described later.

[0196] In particular, the design unit 80 is configured to assemble, in particular in the assembly file 81, a plurality of simulation models as a function of the choice by the operator O of at least one evaluated support parameter to form the simulation macro-model of the at least one evaluated support parameter chosen.

[0197] Advantageously, the design unit 80 is configured to incrementally enrich the macro-model. For example, the design unit 80 is configured to add additional modeling functions to the macro-model.

[0198] In particular, the design unit 80 is configured to assemble the plurality of simulation models furthermore from the simulation model base 62, as a function of the effective calculation module 64, in particular as a function of the hardware capabilities of the effective calculation module 64, and as a function of the support infrastructure 10, in particular from conditions linked to the state of the support infrastructure.

[0199] With reference to [Fig.3], the design unit 80 comprises for example a module 82 for editing the assembly file 81.

[0200] The assembly file 81 includes:

[0201] - a list of the simulation models assembled to generate the evaluated data;

[0202] - at least one data stream feeding the simulation models, from the real data and data to be tested;

[0203] - at least one data flow between the assembled simulation models; and

[0204] - at least one stream of evaluated data generated by the simulation models assembled.

[0205] As illustrated in [Fig.3], the module 82 for editing the assembly file 81 comprises a sub-module 84 for defining a business question and a sub-module 86 for defining the assembly of models.

[0206] The sub-module 84 is configured to generate a description (textual, graphical or other) of a business question corresponding to the at least one evaluated support parameter chosen by the operator O based in particular on a choice of at least one effective support parameter and / or at least one support parameter to be tested made by the operator O.

[0207] The sub-module 86 is configured to generate a list of models to be assembled, in particular as a function of the simulation model of the evaluated support parameter selected by the operator O.

[0208] In particular, the sub-module 86 is configured to generate the list of models to be assembled as a function of input data and output data necessary to obtain evaluated data representative of the at least one support parameter. evaluated chosen, and to generate a list of data flows from real data, a list of flows between the assembled models and a list of output data to generate the evaluated data.

[0209] Advantageously, with reference to [Fig.4], the design unit 80 further comprises a module 88 for editing a tracking file 91 of at least one evaluated support parameter on which the availability for the flight of at least one aircraft for a given mission depends.

[0210] The tracking file editing module 88 notably comprises a sub-module 89 for defining the tracking file 91.

[0211] The follow-up file 91 includes:

[0212] - a list of the simulation models assembled to generate the evaluated data;

[0213] - at least one data stream feeding the simulation models, from the real data and data to be tested;

[0214] - at least one data flow between the assembled simulation models; and

[0215] - at least one stream of evaluated data generated by the simulation models assembled.

[0216] The sub-module 89 is configured to generate a monitoring protocol for the at least one evaluated support parameter chosen by the operator O. The monitoring protocol notably comprises the reception of generated evaluated data representative of the at least one evaluated support parameter chosen by the operator O as a function of data to be tested and the reception of real data representative of the at least one evaluated support parameter notably of actual data, or of data originating from actual data by the calculation. The monitoring protocol further comprises the calculation of a variation rate representative of a variation between the evaluated data and the real data, the determination of a maximum variation rate and the emission of an alert signal to the operator O when the variation rate is greater than the maximum variation rate.

[0217] The human-machine interface 95 is configured to be manipulated by the operator O to interact with the data management unit 40 and / or with the simulation unit 60. For example, the human-machine interface 95 is a touch screen. Alternatively, the human-machine interface 95 is an input device such as a keyboard, a mouse, a microphone.

[0218] Furthermore, the human-machine interface 95 is configured to display to the operator O data from the data management unit 40 and / or the simulation unit 60.

[0219] For example, the human-machine interface 95 is capable of being used by the operator O to choose at least one evaluated support parameter, in particular from the list of evaluated support parameters.

[0220] Advantageously, the human-machine interface 95 is capable of displaying simulation models to the operator O, in particular taken from the simulation model base 62.

[0221] Also advantageously, the human-machine interface 95 is capable of displaying to the operator O the simulation characteristics of the simulation models displayed.

[0222] Still advantageously, the human-machine interface 95 is capable of being used by the operator O to select a simulation model from among the proposed simulation models.

[0223] Still advantageously, the human-machine interface 95 is capable of being used by the operator O to choose a support parameter to be tested, in particular to define data to be tested and to transmit the data to be tested defined by the operator O to the data management unit 40, in particular to the database 42.

[0224] Also advantageously, the human-machine interface 95 is capable of receiving evaluated data generated by the optimization module 66 and of displaying them to the operator O.

[0225] In the example of Figures 2 to 4, the device 20 comprises for example a memory and a processor associated with the memory.

[0226] In the example of Figures 2 to 4, the units, modules and sub-modules are each produced in the form of software, or a software brick, executable by the processor. The memory of the device 20 is then capable of storing this software.

[0227] In a variant not shown, the units, modules and sub-modules are each produced in the form of a programmable logic component, such as an FPGA (Field Programmable Gate Array) or an integrated circuit, such as an ASIC (Application Specific Integrated Circuit).

[0228] When the device 20 is produced in the form of one or more software programs, that is to say in the form of a computer program, also called a computer program product, it is furthermore capable of being recorded on a medium, not shown, readable by a computer. The computer-readable medium is for example a medium capable of storing electronic instructions and of being coupled to a bus of a computer system. By way of example, the readable medium is an optical disk, a magneto-optical disk, a ROM memory, a RAM memory, any type of non-volatile memory (for example FLASH or NVRAM) or a magnetic card. A computer program comprising software instructions is then stored on the readable medium.

[0229] In the following, with reference to [Fig.5], a method 100 is described for generating evaluated data representative of at least one evaluated support parameter on which the availability for flight of at least one aircraft for a given mission depends.

[0230] The method 100 is implemented in the digital twin of the support infrastructure 10, in particular in the device 20 for managing the digital twin.

[0231] For example, the method 100 comprises a step 110 of choice, by the operator O, of at least one evaluated support parameter, in particular from the list of evaluated support parameters. The choice step 110 is done for example by interaction of the operator O with the human-machine interface 95. This allows the operator to choose the support parameter that he wishes to evaluate.

[0232] Advantageously, once the evaluated support parameter has been chosen, the method comprises a step 120 of proposing to the operator O, by the digital twin, at least one simulation model of the evaluated support parameter, from among a plurality of simulation models available within the simulation model base 62. For example, the available simulation models are displayed for the operator O on the human-machine interface 95.

[0233] The simulation models are in particular intended to be executed by the simulation module 66 by command from the effective calculation module 64 and from the simulation model base 62.

[0234] Advantageously, the result of the simulation models is optimized by the optimization module 68.

[0235] Advantageously, the simulation characteristics of each proposed simulation model are displayed to the operator O on the human-machine interface 95.

[0236] In particular, during the proposal step 120, the digital twin proposes to the operator O at least one simulation model of the evaluated support parameter, so that the type of output data of said simulation model corresponds to the type of data representative of the evaluated support parameter.

[0237] The proposal step 120 allows the operator O to become aware of the simulation models capable of simulating the evaluated support parameter and their associated simulation characteristics.

[0238] The method then comprises a step 130 of selection by the operator O of a simulation model from among the proposed simulation models. For example, the selection of the simulation model is carried out by interaction of the operator O with the human-machine interface 95.

[0239] The selection step 130 allows the operator O to select the simulation model that he prefers, in particular depending on the simulation characteristics of each proposed simulation model. For example, the operator O can make his choice depending on the type of input data, the identity of the simulation tool, the level of computing power and the type of limitation of each proposed simulation model, in particular in terms of input data and output data manipulated.

[0240] Advantageously, the method 100 further comprises the determination 140 of input data of the selected simulation model, including:

[0241] - actual data; and / or

[0242] - data derived from actual data by calculation; and / or

[0243] - data to be tested;

[0244] to create at least one data stream feeding the assembled simulation models and / or at least one data stream between the assembled simulation models.

[0245] For example, the determination 140 of the input data of the selected simulation model is carried out by the operator O.

[0246] In particular, the determination 140 of the input data of the simulation model comprises the choice by the operator of at least one effective support parameter, in particular in the list of effective support parameters, and / or of at least one support parameter to be tested, in particular in the list of support parameters to be tested. This allows the operator O to choose on which effective support parameters and / or to be tested he wishes to make the evaluated support parameter depend.

[0247] The at least one data stream feeding the assembled simulation models and / or the at least one data stream between the assembled simulation models corresponds to data representative of the at least one effective support parameter and / or of the at least one support parameter to be tested chosen by the operator O.

[0248] For example, the method comprises a step 150 of assembling, in particular in the assembly file 81, by an operator O and / or by the digital twin, a plurality of simulation models as a function of the choice by the operator O of at least one evaluated support parameter, in particular in the list of evaluated support parameters, to form a simulation macro-model of the at least one evaluated support parameter.

[0249] For example, the assembly step 150 is carried out by the design unit 80, in particular by the module 82 for editing the assembly file 81.

[0250] Still advantageously, the assembly step 150 further depends on the choice by the operator O of at least one effective support parameter, in particular in the list of effective support parameters, and / or of at least one support parameter to be tested, in particular in the list of support parameters to be tested.

[0251] In particular, the dependence of the assembly step 150 on the choice of the at least one effective support parameter and / or the at least one support parameter to be tested is taken into account by the business question definition sub-module 84.

[0252] For example, during the assembly step 150, simulation models whose input data type corresponds to a data type representative of the chosen effective support parameter and / or the chosen support parameter to be tested are assembled. with the simulation model of the selected evaluated support parameter.

[0253] According to another example, during the assembly step 150, simulation models whose output data type corresponds to a data type representative of the selected evaluated support parameter are assembled with the simulation model of the selected evaluated support parameter.

[0254] Further advantageously, the assembly step 150 further depends on the simulation model of the selected evaluated support parameter.

[0255] In particular, the dependence of the assembly step 150 on the selection of the simulation model of the evaluated support parameter is taken into account by the sub-module 86 for defining the assembly of models.

[0256] According to a particular example, at least one simulation model assembled with the simulation model of the selected evaluated support parameter has an output data type that matches the input data type of the simulation model of the evaluated support parameter.

[0257] According to another particular example, at least one simulation model assembled with the simulation model of the selected evaluated support parameter has an input data type that matches the output data type of the simulation model of the selected evaluated support parameter.

[0258] Advantageously, the at least one simulation model assembled with the simulation model of the selected evaluated support parameter and said simulation model of the selected evaluated support parameter are assembled so that a data flow feeds the input of one with the output of the other, in particular so that the output data type of one corresponds to the output data type of the other.

[0259] For example, the assembly of the simulation models is carried out by the assembly sub-module 70 of the simulation module 66.

[0260] Advantageously, at least one first simulation model relates to an installation 12A to 12D, at least one second simulation model relates to an installation 14A to 14C, and even more advantageously at least one third simulation model relates to the characteristics of an aircraft resulting from the design of the aircraft by the entity 16.

[0261] Examples of the first model are:

[0262] - production time models of new aircraft components;

[0263] - models of repair and / or maintenance times for aircraft components;

[0264] - models for optimizing support activities, in particular repair and / or maintenance in the facilities.

[0265] Examples of the second model are:

[0266] - models for optimizing support activities, in particular repairs and / or aircraft maintenance in workshops, for example with the necessary resources to these identified operations;

[0267] - models of resource stock levels at different facilities;

[0268] - performance models of logistics counters at different installations.

[0269] Examples of the third model are:

[0270] - models of frequencies of needs of the different maintenance operations and / or maintenance to be carried out on aircraft and their components;

[0271] - aircraft failure prognostic models;

[0272] - aircraft fault diagnosis models.

[0273] Advantageously, the macro-model is enriched incrementally. For example, additional modeling functions are added to the macro-model.

[0274] Still advantageously, the method 100 further comprises the saving 160, by the digital twin, of the macro-model in the simulation model base 62. This makes it possible to keep the macro-model in memory in order to use it later if necessary, without having to repeat an assembly step.

[0275] The method 100 comprises a step 170 of acquiring effective data representative of at least one effective support parameter, in particular of the at least one effective support parameter chosen by the operator.

[0276] The actual data are for example determined from the real data 19 provided by the support infrastructure 10.

[0277] Advantageously, the real data 19 are stored in the database 42 of the data management unit 40.

[0278] Still advantageously, the real data 19 stored in the database 42 are processed by the data processing module 44 of the data management unit 40.

[0279] As will be detailed below, the real data 19 are transmitted to the simulation unit 60.

[0280] The method 100 further comprises a step 180 of defining the data to be tested representative of at least one support parameter to be tested, in particular of the at least one support parameter to be tested chosen by the operator.

[0281] The data to be tested can be defined by at least one action of the operator O on the human-machine interface 95.

[0282] This allows operator O to test support parameters by associating them with a quantitative or qualitative value that he chooses.

[0283] For example, by way of illustration, operator O may define the data to be tested as the number of available aircraft such that this data corresponds to a number N of available aircraft chosen by operator O. The assembled simulation models will then take into account the number of available aircraft N during the simulations. emulations. This allows operator O to obtain a simulation on a support parameter that he wishes to freeze at a certain value.

[0284] The method 100 further comprises a step 190 of generating the evaluated data.

[0285] Advantageously, the evaluated data are representative of the at least one support parameter evaluated at at least one evaluation time subsequent to a present time.

[0286] Still advantageously, the method further comprises a step of determining a time window, the at least one evaluation instant being included in the time window.

[0287] Step 190 of generating the evaluated data comprises the application, within the digital twin, of at least one simulation model, in particular assembled simulation models, to the actual data and to the data to be tested within the assembly file 81.

[0288] For example, the application of the assembled simulation models and the generation of the evaluated data are carried out within the execution sub-module 72 of the simulation module 66.

[0289] For example, the storage of the evaluated data in the database 42 is carried out by the storage sub-module 74 of the simulation module 66.

[0290] For example, the display of the evaluated data is carried out by the display sub-module 76 of the simulation module 66.

[0291] Advantageously, the method 100, in particular step 190, comprises the definition by the operator and / or by the digital twin of an evaluated data generated from the at least one support parameter evaluated from several output data from several simulation models selected by the operator and / or by the digital twin to form the macro-model and define at least one flow of generated evaluated data.

[0292] For example, the defined generated data stream takes into account the output data of several assembled simulation models and combines them so that the generated data is representative of the evaluated support parameter, the effective support parameter and / or the support parameter to be tested.

[0293] Advantageously, when defining the generated evaluated data, the digital twin proposes to the operator O a mathematical relationship between the input data and the output data of the simulation model of the evaluated support parameter selected by the operator O.

[0294] Still advantageously, the operator O deduces from the mathematical relationship proposed by the digital twin, an analogous mathematical relationship between the effective data of the at least one effective support parameter chosen by the operator, the data to be tested from the at least one supporting parameter to be tested chosen by the operator and the evaluated data. This allows the operator O to make the evaluated data dependent on the actual and tested data based on a mathematical relationship established by the digital twin based on the simulation model selected by the operator.

[0295] The generated evaluated data stream is defined on the basis of, among other things, the analogous mathematical relationship.

[0296] For example, the definition of the generated data flows is carried out by the assembly sub-module 70 of the simulation module 66.

[0297] The method 100 further comprises, for example, a display 200 of the evaluated data generated by the display sub-module 76 intended for the operator O, for example on the human-machine interface 95.

[0298] This allows the operator O to make decisions 98 relating to the support infrastructure 10 based on the generated evaluated data.

[0299] This includes the effective implementation of maintenance operations, in particular changing parts or managing software on an installation 14A, 14B, 14C from parts supplied by the installations 12A to 12D and / or the effective implementation of aircraft missions from the plurality of installations 14A to 14C.

[0300] In particular, the generated evaluated data are transmitted to the human-machine interface 95 by the simulation unit 60, in particular by the optimization module 68 and are used for the aforementioned implementations.

[0301] The method 100 further comprises, for example, a transmission 210 of the generated evaluated data, by the storage sub-module 74 to the data management unit 40, in particular to the database 42. The generated evaluated data are recorded in the database 42.

[0302] In the following, a particular example of the progress of the method 100 is described.

[0303] During step 110 of choosing the at least one evaluated support parameter, the operator O chooses for example the mission launch success rate.

[0304] During step 120 of proposing to the operator O at least one simulation model of the evaluated support parameter, the digital twin proposes to the operator O a first and a second simulation model of the mission launch success rate.

[0305] For example, the simulation characteristics of the first mission launch success rate simulation model are:

[0306] - a first input data type corresponding to a first parameter of support ;

[0307] - an output data type corresponding to the launch success rate of assignment ;

[0308] - a first simulation tool;

[0309] - a first level of computing power; and

[0310] - a first type of limitations.

[0311] For example, the simulation characteristics of the second mission launch success rate simulation model are:

[0312] - a second type of input data, which is for example distinct from the first type input data, which corresponds to a second support parameter different from the first support parameter;

[0313] - an output data type corresponding to the launch success rate of assignment ;

[0314] - a second simulation tool, which is for example distinct from the first simulation tool emulation;

[0315] - a second level of computing power, which is for example different from the first level of computing power; and

[0316] - a second type of limitations, which is for example different from the first type of limitations.

[0317] During step 130 of selecting the simulation model from among the proposed simulation models, the operator O selects a simulation model from among the first and second models, in particular according to the simulation characteristics that he desires.

[0318] For example, operator O selects the first simulation model of the mission launch success rate.

[0319] Advantageously, during step 140, the operator O selects at least one effective support parameter and / or at least one support parameter to be tested.

[0320] In the present example, operator O selects a number of spare parts available for maintenance of the at least one aircraft and a number of personnel available to perform maintenance on the at least one aircraft as an actual support parameter and / or support parameter to be tested.

[0321] During the assembly step 150, a plurality of simulation models are assembled according to:

[0322] - of the choice by operator O of the mission launch success rate as assessed support parameter;

[0323] - the choice by operator O of the number of spare parts available for the maintenance of the at least one aircraft and the number of personnel available to carry out maintenance of the at least one aircraft as an actual support parameter and / or support parameter to be tested; and

[0324] - of the choice by operator O of the first simulation model of the success rate of mission launch as a selected simulation model.

[0325] In particular, during the assembly step 150, a simulation model whose input data type corresponds to a data type representative of the number of spare parts available for the maintenance of the at least one aircraft is assembled with the first simulation model of the mission launch success rate, in particular so that its output data are used in an input data stream of the first simulation model of the success rate.

[0326] In particular, during the assembly step 150, a simulation model whose input data type corresponds to a data type representative of the number of personnel available to carry out maintenance on the at least one aircraft is assembled with the first simulation model of the mission launch success rate, in particular so that its output data are used in the input data stream of the first simulation model of the success rate.

[0327] The input data stream of the first success rate simulation model corresponds to a combination of the output data of the assembled simulation models such that the generated evaluated data (corresponding to the mission launch success rate) depends on the number of spare parts available for maintenance of the at least one aircraft and the number of personnel available to perform maintenance on the at least one aircraft.

[0328] In particular, the operator and / or the digital twin defines the generated evaluated data of the mission launch success rate from the output data from the simulation models assembled to form a macro-model for simulating the mission launch success rate.

[0329] For example, when defining the generated evaluated data of the mission launch success rate, the digital twin proposes to the operator O a mathematical relationship between the input data and the output data of the first simulation model of the mission launch success rate. For example, this mathematical relationship is of the form Y = 1 / (1+X) where Y is a quantity representative of the mission launch success rate and X is a quantity dependent on the input data of the first simulation model of the mission launch success rate.

[0330] Operator O deduces from the proposed mathematical relationship an analogous mathematical relationship between the number of spare parts available for the maintenance of the at least one aircraft, the number of personnel available to carry out the maintenance of the at least one aircraft and the mission launch success rate. For example, the analogous mathematical relationship is of the form Y = 1 / (1+X') where X' is a quantity dependent on the input data of the first simulation model of the mission launch success rate, the number of spare parts available for the maintenance of the at least one aircraft and the number of personnel available to carry out the maintenance of the at least one aircraft. least one aircraft. For example, X' = A x B x C where A is a quantity representative of the support parameter corresponding to the input data of the first simulation model of the mission launch success rate, B is a quantity representative of the number of spare parts available for the maintenance of the at least one aircraft and C is a quantity representative of the number of personnel available to carry out the maintenance of the at least one aircraft.

[0331] The generated evaluated data flow is then defined on the basis in particular of the analogous mathematical relationship.

[0332] In the following, a method 300 for monitoring at least one support parameter evaluated according to the invention is described.

[0333] The tracking method 300 comprises a step 310 of generating evaluated data of the at least one support parameter evaluated by the method 100 described above.

[0334] The tracking method 300 further comprises a step 320 of acquiring real data representative of the at least one support parameter evaluated.

[0335] The monitoring method 300 further comprises a step 330 of calculating a variation rate representative of a variation between the evaluated data and the actual data. For example, the step 330 of calculating the variation rate is carried out by the simulation module 66 by applying the macro-model to the actual data and to the data to be tested within the monitoring file 91.

[0336] The tracking method 300 further comprises a step 340 of determining a maximum variation rate.

[0337] The monitoring method 300 further comprises a step 350 of transmitting an alert signal to an operator O when the variation rate is greater than the maximum variation rate. For example, the alert signal is displayed on the human-machine interface 95.

[0338] With reference to [Fig.7], an example of display on the human-machine interface 95, in particular a touch screen, of an interface 400 for defining the data to be tested is described.

[0339] In the example of [Fig.7], the support parameters to be tested are:

[0340] - the number of aircraft available;

[0341] - the number of monthly flight hours per aircraft;

[0342] - the mission date;

[0343] - the operational configuration of the at least one aircraft.

[0344] The interface 400 comprises a plurality of elements 402 for defining the data to be tested.

[0345] In particular, the interface 400 comprises:

[0346] - an element 402A for defining the data to be tested relating to the number of aircraft available ;

[0347] - an element 402B for defining the data to be tested relating to the number of hours of monthly flight by aircraft;

[0348] - an element 402C defining the data to be tested relating to the mission date;

[0349] - an element 402D for defining the data to be tested relating to the operational configuration rational of at least one aircraft.

[0350] The definition elements 402A, 402B, 402C, 402D are capable of being manipulated by the operator O so that the operator O can define the number of aircraft available, the number of monthly flight hours per aircraft, the mission date and the operational configuration of the at least one aircraft that he wishes.

[0351] For example, the definition element 402A, 402B, 402C, 402D are in the form of a cursor movable along a graduated path or in the form of selection buttons.

[0352] With reference to [Fig.8], a first example of display on the human-machine interface 95, in particular a touch screen, of an interface 500 for displaying generated evaluated data is described.

[0353] In the example of [Fig.8], the support parameters evaluated are:

[0354] - an indicator of tension experienced by personnel intended to allow the use of at least one aircraft;

[0355] - an indicator of tension experienced by personnel intended to allow manufacturing and / or the maintenance of at least one aircraft;

[0356] - an indicator of availability of mechanical parts necessary for manufacturing and / or the maintenance of at least one aircraft;

[0357] - an indicator of the tension experienced by the air bases;

[0358] - an indicator of the tension experienced by a mother air base.

[0359] The interface 500 comprises an element 502 for displaying data to be tested representative of support parameters to be tested.

[0360] For example, element 502 comprises:

[0361] - an item 502A relating to the number of aircraft available;

[0362] - an item 502B relating to the number of monthly flight hours per aircraft;

[0363] - an item 502C relating to the mission date;

[0364] - an item 502D relating to the operational configuration of the at least one aircraft.

[0365] The interface 500 further comprises a plurality of display assemblies 504A, 504B, 504C each comprising a plurality of elements 506 for displaying the evaluated data representative of the evaluated support parameters.

[0366] In particular, each display set 504A, 504B, 504C corresponds to a scenario in which a support parameter has a unique specific value. For example, each display set 504A, 504B, 504C corresponds to a scenario in which the identity of the land or naval bases with which the at least one is associated aircraft available for flight is different from that of others.

[0367] Each display assembly 504A, 504B, 504C comprises in particular:

[0368] - an element 506A for displaying evaluated data relating to the voltage indicator suffered by personnel intended to enable the use of at least one aircraft;

[0369] - an element 506B for displaying evaluated data relating to the voltage indicator undergone by personnel intended to enable the manufacture and / or maintenance of at least one aircraft;

[0370] - an element 506C for displaying evaluated data relating to the availability indicator availability of mechanical parts necessary for the manufacture and / or maintenance of at least one aircraft;

[0371] - an element 506D for displaying evaluated data relating to the voltage indicator suffered by air bases;

[0372] - an element 506E for displaying evaluated data relating to the voltage indicator suffered by the mother air base.

[0373] Each of the elements 506A to 506E is, for example, a gauge defining a discrete or continuous level of the corresponding evaluated support parameter.

[0374] In the example of [Fig.8]:

[0375] - the display assembly 504A corresponds to a scenario in which the aircraft dis available for flight come from several land or naval bases. Display elements 506A, 506B, 506D and 506E indicate low voltages. Display element 506C indicates zero voltage. The display therefore indicates low voltages with respect to personnel intended to enable the use of the at least one aircraft, personnel intended to enable the manufacture and / or maintenance of the at least one aircraft, air bases and the parent air base. The display indicates zero voltage with respect to the availability of mechanical parts necessary for the manufacture and / or maintenance of the at least one aircraft;

[0376] - the display assembly 504B corresponds to a scenario in which the aircraft dis available for the flight come from the same land or naval base, different from the mother base. Display elements 506C and 506D indicate low voltages. Display element 506A indicates high voltage. Display elements 506B and 506E indicate medium voltage. The display therefore indicates low voltages with regard to the availability of mechanical parts necessary for the manufacture and / or maintenance of the at least one aircraft and the air bases. On the other hand, the display indicates high voltage with regard to the personnel intended to enable the use of the at least one aircraft and medium voltage with regard to. The display further indicates medium voltage with regard to the personnel intended to enable the manufacture and / or maintenance of the at least one aircraft and the mother air base;

[0377] - the display assembly 504C corresponds to a scenario in which the aircraft dis available for the flight come from the parent base. Display element 506D indicates low voltage. Display elements 506B and 506E indicate high voltages. Display elements 506A and 506C indicate medium voltages. The display therefore indicates low voltage with respect to the air bases. On the other hand, the display indicates high voltages with respect to the personnel intended to enable the manufacture and / or maintenance of the at least one aircraft and the parent air base. The display further indicates medium voltages with respect to the personnel intended to enable the use of the at least one aircraft and the availability of mechanical parts necessary for the manufacture and / or maintenance of the at least one aircraft.

[0378] With reference to [Fig.9], a second example of display on the human-machine interface 95, in particular a touch screen, of an interface 600 for displaying generated evaluated data is described.

[0379] In the example of [Fig.9], the support parameter evaluated is the number of hours Flight time required to complete the given mission, per unit of time T.

[0380] The interface 600 comprises a graph 602 illustrating the evaluated data representative of the number of flight hours H as a function of time T.

[0381] For example, the graph 602 presents a first curve 602A illustrating the evolution of the number of flight hours H as a function of the time T evaluated (obtained by the generation method 100) and advantageously, a second curve 602B illustrating a number of flight hours H as a function of the time T desired by the operator O.

[0382] In the example of [Fig.9], the graph 602 presents a time period 604 on in which the number of flight hours H as a function of the estimated time T is less than the number of flight hours H as a function of the desired time T. This allows the operator O to realize that with the actual data and the data to be tested having given rise to the evaluated data corresponding to the graph 602, the number of flight hours H as a function of the desired time T will not be reached over a period of time 604.

[0383] By means of the invention, data from the entire support infrastructure 10, in particular from both set 12 and set 14, are taken into account for establishing the evaluated data representative of the evaluated support parameter, centrally within the digital twin. A multitude of combinations of actual support parameters, support parameters to be tested and available simulation models can be aggregated within the digital twin device 20 to determine the evaluated support parameter and provide it to the operator O. This allows the operator O to make the evaluated support parameter dependent on a large panel of other support parameters as he wishes, in a simple manner. and reliable.

Claims

1. Claims Method (100) for generating evaluated data representative of at least one evaluated support parameter on which the availability for flight of at least one aircraft for a given mission depends, the support parameters being representative: - the manufacture of at least one aircraft and / or its components; - maintenance of at least one aircraft and / or its components; - the transport and storage of components of at least one aircraft; and / or - the use of at least one aircraft for the flight; the method (100) comprising: - a step (170) of acquiring effective data representative of at least one effective support parameter distinct from the evaluated support parameter; - a step (180) of defining data to be tested representative of at least one support parameter to be tested, the support parameter to be tested being distinct from the evaluated support parameter and the effective support parameter, the data to be tested being definable by at least one action of an operator (O) on a human-machine interface (95); characterized in that the method (100) is implemented in a digital twin of an infrastructure (10) supporting the at least one aircraft, the actual data being determined from real data provided by the support infrastructure (10) comprising: - at least one ground installation (12A, 12B, 12C, 12D) intended for the manufacture and / or maintenance of the at least one aircraft; and / or - at least one installation (14A, 14B, 14C) intended for the use of the at least one aircraft for flight; the method (100) further comprising a step (190) of generating the evaluated data, comprising the application, within the digital twin, of at least one simulation model to the actual data and to the data to be tested within an assembly file (81) comprising: - a list of simulation models assembled to generate the evaluated data, the simulation models being representative: + the manufacture of aircraft and / or their components; + maintenance of aircraft and / or their components; + transport and storage of aircraft components; and / or + the use of at least one aircraft for the flight; - at least one data stream feeding the simulation models, from real data and data to be tested; - at least one data flow between the assembled simulation models; and - at least one stream of evaluated data generated by the assembled simulation models.

2. A generation method (100) according to claim 1, wherein the at least one evaluated support parameter is chosen from a list comprising: - the number of aircraft required to carry out the given mission; - the number of flight hours, in particular per unit of time and per aircraft, necessary to carry out the given mission; - an indicator representative of the identity of at least one aircraft available for the flight; - an indicator representative of a category of the at least one aircraft available for the flight, the category of the at least one aircraft being chosen from the list of categories including a marine aircraft, a single-seater aircraft, a two-seater aircraft; - an indicator representative of the identity of at least one land or naval base with which the at least one aircraft available for flight is associated; - an indicator of the tension experienced by the personnel intended to allow the use of at least one aircraft; - an indicator of the tension experienced by the personnel intended to enable the manufacture and / or maintenance of at least one aircraft; - an indicator of availability of mechanical parts necessary for the manufacture and / or maintenance of at least one aircraft; - an indicator of the tension experienced by the air bases; - an indicator of the tension experienced by a mother air base; - a mission launch success rate.

3. Generation method (100) according to claim 1 or 2, wherein the at least one effective support parameter and / or the at least one support parameter to be tested are chosen from a list comprising: - a number of available aircraft; - a monthly number of flight hours per aircraft; - a mission date; - an operational configuration of the at least one aircraft; - a number of spare parts available for the maintenance of the at least one aircraft; - a number of personnel available to carry out maintenance on the aircraft; - a duration of repair and / or maintenance of the at least one aircraft; - a duration of repair and / or maintenance of the components of the at least one aircraft; - a parameter representing the availability of workshops for repair and / or maintenance.

4. Generation method (100) according to any one of the preceding claims, comprising a step of assembling (150), by an operator (0) and / or by the digital twin, a plurality of simulation models as a function of a choice (110) by the operator (O) of at least one evaluated support parameter, to form a simulation macro-model of the at least one evaluated support parameter.

5. A generation method (100) according to claim 4, wherein the assembling step (150) further depends on a choice by the operator of at least one effective support parameter and / or at least one support parameter to be tested.

6. Generation method (100) according to claim 4 or 5, comprising, after the choice of an evaluated support parameter, the proposal (120) to the operator (O), by the digital twin, of at least one simulation model of the evaluated support parameter, from among a plurality of simulation models available within a simulation model base (62), and the selection by the operator (O) of a simulation model from among the at least one proposed simulation model, the assembly step (150) further depending on the simulation model of the evaluated support parameter selected.

7. Generation method (100) according to claim 6, comprising saving (160) by the digital twin of the simulation macro-model of the at least one support parameter evaluated in the simulation model base (62).

8. A generation method (100) according to claim 6 or 7, comprising determining (140) input data of the selected simulation model, including: - actual data; and / or - data from actual data by calculation; and / or - data to be tested; to create at least one data flow feeding the assembled simulation models and / or at least one data flow between the assembled simulation models.

9. Generation method (100) according to any one of claims 6 to 8, comprising the definition by the operator (0) and / or by the digital twin of an evaluated data generated from the at least one support parameter evaluated from several output data from several simulation models selected by the operator (0) and / or the digital twin to form the macro-model and define at least one flow of generated evaluated data.

10. A generation method (100) according to any preceding claim, wherein the evaluated data is representative of the at least one support parameter evaluated at at least one evaluation time subsequent to a present time.

11. A generation method (100) according to claim 10, further comprising a step of determining a time window, the at least one evaluation instant being included in the time window.

12. Method (300) for monitoring at least one evaluated support parameter on which the availability for flight of at least one aircraft for a given mission depends, comprising: - a step (310) of generating evaluated data of the at least one evaluated support parameter by a generation method (100) according to any one of the preceding claims; - a step (320) of acquiring real data representative of the at least one evaluated support parameter; - a step (330) of calculating a variation rate representative of a variation between the evaluated data and the real data; - a step (340) of determining a maximum variation rate; - a step (350) of transmitting an alert signal to the operator (O) when the variation rate is greater than the maximum variation rate.

Images