Method, device and equipment for generating design scheme of aero-engine fuel system

Abstract

The invention relates to an aero-engine fuel system design scheme generation method, device and equipment. The method comprises the following steps: acquiring a target fuel system model, wherein the target fuel system model is a structure of a fuel system; generating design parameters of the fuel system according to the target fuel system model and a preset design criterion; performing simulation analysis on the target fuel system model and the design parameters, and determining a simulation result; and obtaining a target technical requirement, and optimizing the design parameters according to the simulation result and the target technical requirement until the simulation result of the target fuel system model and the design parameters meets the target technical requirement. By adopting the method, the design scheme generation efficiency can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of fuel system design, and in particular to a method, device and equipment for generating a design scheme for an aircraft engine fuel system. Background Art

[0002] Aircraft engine fuel systems play a vital role in engine performance and safety.

[0003] In the existing technology, the design and simulation of aircraft engine fuel systems usually require a lot of manual operations, including parameter setting, simulation, result analysis and optimization. With the rapid development of aviation technology, the iteration speed of aviation products is gradually accelerating, and the engine performance requirements are getting higher and higher. The existing technology relies on manual methods to determine the design of aircraft engine fuel systems, which is inefficient. Summary of the invention

[0004] Based on this, it is necessary to provide a method, device and equipment for generating a design scheme for an aircraft engine fuel system that can improve the efficiency of determining the design scheme in response to the above-mentioned technical problems.

[0005] In a first aspect, the present application provides a method for generating a design scheme for an aircraft engine fuel system, comprising:

[0006] Obtaining a target fuel system model, where the target fuel system model is a structure of the fuel system;

[0007] Generate design parameters of the fuel system according to the target fuel system model and preset design criteria;

[0008] Conduct simulation analysis on the target fuel system model and design parameters to determine the simulation results;

[0009] Obtain the target technical requirements, and optimize the design parameters according to the simulation results and the target technical requirements until the simulation results of the target fuel system model and design parameters meet the target technical requirements.

[0010] In one embodiment, obtaining target technical requirements and optimizing design parameters according to simulation results and target technical requirements include:

[0011] According to the simulation results and the target technical requirements, the optimization items are determined. The optimization items are the parts of the simulation results that do not meet the target technical requirements. The target optimization parameters that are sensitive to the optimization items are determined according to the parameter sensitivity analysis method, and the target optimization parameters are adjusted.

[0012] In one embodiment, the optimization items include multiple items, and a target optimization parameter sensitive to the optimization item is determined according to a parameter sensitivity analysis method, and the target optimization parameter is adjusted, including:

[0013] Obtain the priority corresponding to each optimization item; adjust the target optimization parameters of each optimization item according to each priority and a preset multi-objective optimization algorithm.

[0014] In one embodiment, the design parameters include transmission shaft speed, booster pump specifications, metering flow range, safety valve margin, metering pressure difference, constant pressure, parking valve opening pressure, spring parameters, valve diameter, flow area, throttling nozzle area, filter element flow resistance, system response time, valve movement time, and electro-hydraulic conversion device characteristics;

[0015] Target technical requirements include response time, movement speed, oil return reduction, temperature compensation, oil supply flow and pressure accuracy.

[0016] In one embodiment, obtaining a target fuel system model includes:

[0017] Receive input information sent by a client, the input information includes a design parameter list, the design parameter list includes at least one design parameter and a value corresponding to the design parameter; determine a candidate model list according to the design parameter list, and send the candidate model list to the client, the candidate model list includes at least one candidate fuel system model; receive a model selection instruction sent by the client, and obtain a target fuel system model from a preset model library according to the model selection instruction.

[0018] In one embodiment, the method for generating a design solution for an aircraft engine fuel system further includes:

[0019] Obtain a design report template; generate a target design report based on the simulation results and the design report template, the target design report including target technical requirements, design parameters, simulation results and performance analysis.

[0020] In a second aspect, the present application also provides a device for generating a design scheme for an aircraft engine fuel system, comprising:

[0021] An acquisition module, used for acquiring a target fuel system model, wherein the target fuel system model is a structure of the target fuel system;

[0022] A parameter generation module, used for generating design parameters of the fuel system according to the target fuel system model and preset design criteria;

[0023] A simulation module, used to perform simulation analysis on the target fuel system model and the design parameters to determine simulation results;

[0024] The optimization module is used to obtain the target technical requirements and optimize the design parameters according to the simulation results and the target technical requirements until the simulation results of the target fuel system model and the design parameters meet the target technical requirements.

[0025] In one of the embodiments, the optimization module is specifically used to determine optimization items based on simulation results and target technical requirements, where the optimization items are parts of the simulation results that do not meet the target technical requirements; determine target optimization parameters that are sensitive to the optimization items based on a parameter sensitivity analysis method, and adjust the target optimization parameters.

[0026] In one of the embodiments, the optimization items include multiple optimization modules, which are specifically used to obtain the priority corresponding to each optimization item; and adjust the target optimization parameters of each optimization item according to each priority and a preset multi-objective optimization algorithm.

[0027] In one embodiment, the design parameters include the transmission shaft speed, boost pump specifications, metering flow range, safety valve margin, pressure difference before and after metering, set pressure, parking valve opening pressure, spring parameters, valve diameter, flow area, throttling nozzle area, filter element flow resistance, system response time, valve movement time, and electro-hydraulic conversion device characteristics; the target technical requirements include response time, movement speed, reduction of return oil volume, temperature compensation, oil supply flow and pressure accuracy.

[0028] In one of the embodiments, the acquisition module is specifically used to receive input information sent by a client, the input information includes a design parameter list, the design parameter list includes at least one design parameter and a value corresponding to the design parameter; determine a candidate model list according to the design parameter list, and send the candidate model list to the client, the candidate model list includes at least one candidate fuel system model; receive a model selection instruction sent by the client, and obtain a target fuel system model from a preset model library according to the model selection instruction.

[0029] In one of the embodiments, the optimization module is further used to obtain a design report template; generate a target design report according to the simulation results and the design report template, the target design report including target technical requirements, design parameters, simulation results and performance analysis.

[0030] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, any of the methods described in the first aspect is implemented.

[0031] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements any of the methods described in the first aspect above.

[0032] In a fifth aspect, the present application further provides a computer program product, including a computer program, which, when executed by a processor, implements any of the methods described in the first aspect above.

[0033] The above-mentioned method for generating a design scheme for an aircraft engine fuel system obtains a target fuel system model, which is the structure of the fuel system. Then, the design parameters of the fuel system are generated according to the target fuel system model and preset design criteria. Then, the target fuel system model and the design parameters are simulated and analyzed to determine the simulation results. Then, the target technical requirements are obtained, and the design parameters are optimized according to the simulation results and the target technical requirements until the simulation results of the target fuel system model and the design parameters meet the target technical requirements. The design parameters are automatically generated according to the target fuel system model, and the design parameters are continuously simulated and analyzed according to the target technical requirements until a model and design parameters that can meet the target technical requirements are obtained. In this way, when generating a design scheme, the process of repeated verification and adjustment when the design parameters are determined manually is avoided, and the efficiency of generating the design scheme can be effectively improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0035] Figure 1 An application environment diagram of a method for generating a design solution for an aircraft engine fuel system in one embodiment;

[0036] Figure 2 A schematic diagram of a flow chart of a method for generating a design solution for an aircraft engine fuel system in one embodiment;

[0037] Figure 3 A schematic diagram of a flow chart of steps for optimizing design parameters in one embodiment;

[0038] Figure 4 A schematic diagram of a flow chart of a step of adjusting target optimization parameters in one embodiment;

[0039] Figure 5 A schematic diagram of a flow chart of steps for obtaining a target fuel system model in one embodiment;

[0040] Figure 6 A schematic diagram of a process for generating a target design report in one embodiment;

[0041] Figure 7 A schematic flow chart of a method for generating a design solution for an aircraft engine fuel system in another embodiment;

[0042] Figure 8A structural block diagram of a device for generating a design solution for an aircraft engine fuel system in one embodiment;

[0043] Fig. 9 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application. It should be noted that in the embodiments of the present application, certain software, groups, models and other existing solutions in the industry may be mentioned, which should be considered as exemplary, and their purpose is only to illustrate the feasibility of the implementation of the technical solution of the present application, but it does not mean that the applicant has or will necessarily use the solution.

[0045] The method for generating a design scheme for an aircraft engine fuel system provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. The design method generation method can be applied to the server, and can also be implemented through the interaction between the terminal 102 and the server 104. For example, the server 104 obtains the target fuel system model, the target fuel system model is the structure of the fuel system, generates the design parameters of the fuel system according to the target fuel system model and the preset design criteria, simulates and analyzes the target fuel system model and the design parameters, determines the simulation results, obtains the target technical requirements, and optimizes the design parameters according to the simulation results and the target technical requirements until the simulation results of the target fuel system model and the design parameters meet the target technical requirements. Among them, the terminal 102 can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, Internet of Things devices and portable wearable devices. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart car-mounted devices, projection devices, etc. Portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc. The head mounted device may be a virtual reality (VR) device, an augmented reality (AR) device, smart glasses, etc. The server 104 may be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services.

[0046] In an exemplary embodiment, Figure 2As shown, a method for generating a design scheme for an aircraft engine fuel system is provided. Figure 1 The server in the example is used to illustrate, including the following steps 201 to 204. Among them:

[0047] S201, obtaining a target fuel system model.

[0048] Among them, the target fuel system model is the structure of the fuel system.

[0049] Optionally, the target fuel system model may be a structure of an aircraft engine fuel system constructed using a component library and a model library provided in the simulation software.

[0050] Optionally, the target fuel system model may include sub-models such as a fuel tank model, a fuel pump model, a fuel pipeline model, a fuel filter model, a fuel metering device model and an engine model.

[0051] In one possible implementation, the target fuel system model is uploaded by a designer and stored in a storage medium of the server 104. The target fuel system model may be stored in a file or a database. When obtaining the target fuel system model, the corresponding target fuel system model may be obtained from the storage medium according to an identifier of the target fuel system model.

[0052] In another possible implementation, the target fuel system model is generated in real time by a designer using simulation software and sent to the server 104. It is understandable that the simulation software and the server can communicate with each other, and the server receives the message sent by the simulation software and parses the message to obtain the target fuel system model.

[0053] S202: Generate design parameters of the fuel system according to the target fuel system model and preset design criteria.

[0054] It can be understood that the target fuel system model is the structure of the aircraft engine fuel system, and the design parameters involved in the model have not been initialized, or some design parameters have default values. That is to say, when simulating the target fuel system model, it is necessary to determine the corresponding design parameters and perform simulation analysis based on the target fuel system model and design parameters. The simulation analysis cannot be completed based on the target fuel system model alone.

[0055] Optionally, the preset design criteria may include basic physical requirements and engineering design requirements, and may be design criteria specified by the industry, design criteria summarized based on expert experience, or a calculation model, and may be pre-stored in a storage medium of the server.

[0056] Optionally, the design parameters may include drive shaft speed, boost pump specifications, metering flow range, safety valve margin, pressure difference before and after metering, set pressure, parking valve opening pressure, spring parameters, valve diameter, flow area, throttling nozzle area, filter element flow resistance, system response time, valve movement time, and electro-hydraulic conversion device characteristics.

[0057] Optionally, the valve diameter and flow area may include a safety valve diameter and flow area, a metering valve diameter and flow area, a constant pressure valve diameter and flow area, a parking valve diameter and flow area, a differential pressure valve diameter and flow area, etc.

[0058] For example, when determining the specifications of the boost pump, the required flow rate of the boost pump can be calculated based on the fuel demand and the calculation model, and then the appropriate boost pump rule can be selected based on the required flow rate to ensure that the fuel can be stably supplied under different operating conditions; when determining the metering flow range, the metering flow range can be automatically generated by calculating the fuel flow demand of the fuel supply system under various operating conditions; when determining the safety valve margin, the opening pressure and closing pressure of the safety valve can be determined based on the system pressure demand and safety requirements; when determining the fixed pressure, the fixed pressure can be determined based on the system pressure demand and stability requirements to ensure that the fuel supply pressure remains stable under various operating conditions.

[0059] S203, performing simulation analysis on the target fuel system model and design parameters to determine simulation results.

[0060] Optionally, the target fuel system model and design parameters can be simulated and analyzed under different simulation conditions, and the simulation results under different simulation conditions can be output. The different simulation conditions can be different operating conditions of the fuel system. For example, the fuel system can be simulated under different flight states or operating states, including slow speed, takeoff, cruise, descent, or emergency conditions during flight.

[0061] Optionally, input excitation can be determined according to the working conditions, such as changes in the fuel tank level (simulating the fuel consumption process), changes in the fuel pump speed (simulating changes in power input), etc. as input signals of the model. These input signals should be as close as possible to the changes in the actual engine fuel system under the corresponding working conditions to ensure the validity of the simulation results.

[0062] In one possible implementation, the target fuel system model and design parameters can be simulated and analyzed by a preset algorithm, and the mathematical model corresponding to the fuel system can be solved by the preset algorithm. The target fuel system model and design parameters can be used as input, and the simulation conditions and input excitations can be determined. The simulation results are determined according to the output of the preset algorithm. The preset algorithm can be a numerical integration method based on solving differential equations such as the Euler method or the Runge-Kutta method. The preset algorithm can also be a discrete event simulation method, such as an event scheduling method to simulate the operation of the target fuel system.

[0063] In another possible implementation, the target fuel system model and design parameters may be imported into the simulation software, and the simulation conditions and input excitations may be determined, and the simulation results may be determined by obtaining the output of the simulation software.

[0064] Optionally, the simulation software may be AMESim, MATLAB / Simulink, etc., which is not limited in the embodiments of the present application.

[0065] Optionally, the design parameters may be stored in a storage medium of the server. When the design parameters and the target fuel system model are imported into the simulation software, the design parameters may be read through a preset script and an application programming interface (API) of the simulation software may be called for implementation.

[0066] For example, the preset script can be a Python script, and the design parameters can be stored in the JSON file format. The JSON file format has good scalability and readability, and can easily transfer data between different modules. The preset script obtains the corresponding value of each design parameter by reading the JSON file, and assigns the corresponding value to the design parameter in the simulation software, and then performs simulation. For example, a typical design solution storage file may contain the following structure:

[0067] {

[0068] "Design number": "001",

[0069] "Drive shaft speed": 5500,

[0070] "Booster Pump Specifications":{

[0071] "Model": "BP-300",

[0072] "Maximum pressure": 10.5,

[0073] "Flow range": [200,800]

[0074] },

[0075] "Metering flow range": [50,300],

[0076] "Safety Valve Margin": {

[0077] "Opening pressure": 9.5,

[0078] "Closing pressure": 9.0

[0079] },

[0080] "Constant pressure": 9.0, ...

[0082] }

[0083] Optionally, the simulation results may include fuel outlet flow, fuel supply pressure, post-meter pressure, pressure difference, constant pressure, return oil pressure, metering valve movement speed, shutdown response time and system stability during dynamic changes.

[0084] S204, obtaining target technical requirements, and optimizing design parameters according to the simulation results and the target technical requirements, until the simulation results of the target fuel system model and the design parameters meet the target technical requirements.

[0085] It can be understood that the design parameters should be able to meet the performance requirements of the fuel system under different working conditions, that is, the simulation results under different simulation conditions should meet the target requirements.

[0086] Optionally, target technical requirements include response time, movement speed, oil return reduction, temperature compensation, oil supply flow and pressure accuracy.

[0087] Optionally, by comparing the numerical value in the simulation result with the numerical value of the target technical requirement, it is determined whether the simulation result meets the target technical requirement.

[0088] In one possible implementation, when the simulation result does not meet the target technical requirements, the portion that does not meet the target technical requirements may be sent to the user, so that the user can adjust the relevant design parameters according to the current simulation result.

[0089] In another possible implementation method, optimization prompts can be generated based on the parts that do not meet the target technical requirements and sent to the user. The optimization prompts are used to remind the user which parameters need to be adjusted. For example, the optimization prompts will suggest that the user reduce the drive shaft speed to improve the fuel supply stability, or adjust the specifications of the boost pump to improve the response speed, etc.

[0090] Optionally, after the user adjusts the design parameters, the adjusted design parameters are obtained, and simulation is performed based on the adjusted design parameters and the target fuel system model to re-determine the simulation results.

[0091] In another possible implementation, the parts that do not meet the target technical requirements can be optimized according to the optimization algorithm to obtain optimized design parameters, wherein the optimization algorithm can be to continuously optimize the design parameters with the target technical requirements as the optimization goal.

[0092] Optionally, the accuracy of the generated design solution can be improved by comparing the simulation results with the target technical requirements and continuously optimizing the design parameters.

[0093] The above-mentioned method for generating a design scheme for an aircraft engine fuel system obtains a target fuel system model, which is the structure of the fuel system. Then, the design parameters of the fuel system are generated according to the target fuel system model and preset design criteria. Then, the target fuel system model and the design parameters are simulated and analyzed to determine the simulation results. Then, the target technical requirements are obtained, and the design parameters are optimized according to the simulation results and the target technical requirements until the simulation results of the target fuel system model and the design parameters meet the target technical requirements. The design parameters are automatically generated according to the target fuel system model, and the design parameters are continuously simulated and analyzed according to the target technical requirements until a model and design parameters that can meet the target technical requirements are obtained. In this way, when generating a design scheme, the process of repeatedly verifying and adjusting the design parameters by manually determining the design parameters is avoided, and the generation efficiency of the design scheme can be effectively improved.

[0094] In an exemplary embodiment, Figure 3 As shown, optionally, obtaining the target technical requirements and optimizing the design parameters according to the simulation results and the target technical requirements include the following steps 301 to 302. Among them:

[0095] S301, determining optimization items according to simulation results and target technical requirements.

[0096] Among them, the optimization items are the part of the simulation results that do not meet the target technical requirements.

[0097] Optionally, the simulation results may include multiple items, and the numerical values ​​corresponding to each item in the simulation results can be compared with the numerical values ​​of the corresponding items in the target technical requirements. When the numerical values ​​do not match, they can be determined as optimization items. For example, a first numerical value corresponding to the parking response time in the simulation results can be obtained, and a second numerical value corresponding to the response time in the target technical requirements can be obtained. If the first numerical value is not equal to the second numerical value or the difference between the first numerical value and the second numerical value is greater than a preset threshold, the parking response time is determined to be the optimization item.

[0098] Optionally, the simulation results may include simulation results under different working conditions. It is understandable that if the simulation result under one working condition does not meet the target technical requirements, the design parameters need to be optimized.

[0099] S302: Determine target optimization parameters that are sensitive to the optimization items according to a parameter sensitivity analysis method, and adjust the target optimization parameters.

[0100] Optionally, parameter sensitivity analysis can evaluate the sensitivity of simulation results to changes in design parameters. Since design parameters include multiple parameters, changes in parameter values ​​may have different degrees of impact on simulation results. Parameter sensitivity analysis can determine which parameters have a greater impact on the simulation results of the optimization items and which parameters have a smaller impact on the simulation results of the optimization items. In this way, adjustments can be made mainly to the parameters with greater impact.

[0101] Optionally, the target optimization parameter may be a parameter in the design parameters that has a greater impact on the simulation result of the optimization item.

[0102] In one possible implementation, the target optimization parameters can be determined through local sensitivity analysis, that is, only the value of one design parameter is changed each time, while other parameters are kept fixed, and then the change of the simulation results is determined. The sensitivity of the design parameters is measured by the slope or relative change rate of the simulation results relative to the change of each design parameter.

[0103] In another possible implementation method, the target optimization parameters can be determined through global sensitivity analysis, that is, the changes of all design parameters within their value ranges can be considered, and the comprehensive impact of multiple parameter changes on the simulation results can be evaluated at the same time to obtain the importance ranking and contribution of each design parameter.

[0104] Optionally, after determining the target optimization parameters, the target optimization parameters can be optimized by an overall or local optimization algorithm. After the optimization is completed, simulation is performed based on the optimized design parameters and the target fuel system model, and it is determined whether the optimized design parameters meet the requirements based on the simulation results and the target design requirements.

[0105] Optionally, the optimization algorithm may include a genetic algorithm, a gradient descent method or a simulated annealing algorithm. When optimizing the template optimization parameters through the optimization algorithm, the optimization goal may be that the value of the optimization item is close to the value required by the target technical requirements, pressure stability, or the stability of the outlet flow and pressure during the dynamic response process, etc.

[0106] By determining the optimization items according to the simulation results and the target technical requirements, and determining the target optimization parameters that are sensitive to the optimization items according to the parameter sensitivity analysis method, and adjusting the target optimization parameters, the key design parameters that have a greater impact on the simulation results can be determined, and the design parameters can be optimized and adjusted in a targeted manner, which can effectively improve the efficiency of design scheme generation.

[0107] In an exemplary embodiment, Figure 4As shown, optionally, the optimization items include multiple items, and the target optimization parameters sensitive to the optimization items are determined according to the parameter sensitivity analysis method, and the target optimization parameters are adjusted, including the following steps 401 to 402. Among them:

[0108] S401, obtaining the priority corresponding to each optimization item.

[0109] Optionally, there are multiple optimization items, and there may be multiple design parameters that need to be optimized in one optimization item. Therefore, the target optimization parameters include multiple design parameters that need to be optimized.

[0110] Optionally, the priority of each optimization item may be preset by the user, or the optimization item may be displayed to the user through a display interface of the client, and the priority input by the user may be received.

[0111] Optionally, when there are multiple items in the simulation results that do not meet the target design requirements, the priority is used to indicate the importance or optimization order of each item in the simulation results. For example, when the optimization items include response time and oil supply flow rate, you can focus on the response time first and then adjust the oil supply flow rate.

[0112] S402: adjusting target optimization parameters of each optimization item according to each priority and a preset multi-objective optimization algorithm.

[0113] Optionally, in order to make the design parameters meet the target design requirements, multiple optimization items can be optimized simultaneously.

[0114] In one possible implementation, the target optimization parameters of each optimization item are adjusted according to each priority and a preset multi-objective optimization algorithm. The optimization item with the highest priority can be used as the primary objective, and the remaining objectives can be used as secondary objectives. When solving the target optimization parameters of the primary objective, the secondary objectives can be used as constraints.

[0115] In another possible implementation method, the target optimization parameters of each optimization item are adjusted according to each priority and a preset multi-objective optimization algorithm. The weight coefficient of each optimization item can be determined according to each priority, and the sum of the weight coefficients of each optimization item is 1. The sum of the products of each optimization item and the weight coefficient is taken as the optimization target, that is, the multi-objective optimization problem is converted into a single-objective optimization problem, and then the target optimization parameters that meet the optimization target are determined.

[0116] Optionally, the numerical values ​​and corresponding simulation results before and after each design parameter optimization can be stored, supporting multiple rounds of iterative storage to form a complete design iteration history record.

[0117] In one exemplary embodiment, Figure 5As shown, optionally, obtaining the target fuel system model includes the following steps 501 to 503. Among them:

[0118] S501, receiving input information sent by the client.

[0119] The input information includes a design parameter list, and the design parameter list includes at least one design parameter and a value corresponding to the design parameter.

[0120] Optionally, a design parameter list may be provided to the user on the client, so that the user selects and inputs at least one design parameter from the design parameter list and inputs a value corresponding to the design parameter.

[0121] Optionally, after receiving the input information, the compliance of the input information can be checked according to the functions, performance requirements and industry standards of the aircraft engine fuel system. If unreasonable input information is found, the user will be prompted to modify the corresponding value.

[0122] It is understandable that when the design parameters are subsequently optimized according to the simulation results, if the value of a certain design parameter is input by the user rather than automatically generated, the design parameter may not be optimized, or an optimization reminder may be sent to the user, and whether to perform the optimization may be determined based on the user's optimization instructions. The optimization reminder may include the value of the optimized design parameter. If the user's optimization instruction is optimization, the optimization instruction may also include the value of the optimized design parameter.

[0123] S502: Determine a candidate model list according to the design parameter list, and send the candidate model list to the client.

[0124] The candidate model list includes at least one candidate fuel system model.

[0125] Optionally, at least one candidate fuel system model may be determined from a model library according to the design parameter list, or at least one candidate fuel system model may be generated.

[0126] For example, if the design parameters include fuel system flow rate and pressure range requirements, at least one preliminary fuel system configuration can be determined based on these two design parameters, and a candidate model list can be determined.

[0127] S503, receiving a model selection instruction sent by the client, and acquiring a target fuel system model from a preset model library according to the model selection instruction.

[0128] Optionally, the model selection instruction may include identification information of the fuel system model. The identification information is unique, and the target fuel system model can be obtained from a preset model library based on the identification information.

[0129] The above-mentioned method receives input information sent by the client, determines a candidate model list according to the design parameter list, and sends the candidate model list to the client, receives a model selection instruction sent by the client, obtains a target fuel system model from a preset model library according to the model selection instruction, and can recommend a fuel system model to the user according to the design parameter list input by the user, thereby improving the accuracy of determining the target fuel system.

[0130] In one exemplary embodiment, Figure 6 As shown, optionally, the method for generating a design solution for an aircraft engine fuel system further includes the following steps 601 to 602. Among them:

[0131] S601, obtaining a design report template.

[0132] Optionally, the design report template may be uploaded to a storage medium in advance by a user, or the corresponding design report template may be obtained from a template library according to project requirements, or a design report template may be composed of multiple components selected from a component library according to project requirements.

[0133] Optionally, the design report template may include components such as technical requirements, design parameters, simulation results, data tables, chart presentations, simulation results analysis, general quality characteristic design, key technologies and performance analysis. It is understandable that users can customize or adjust the design report template.

[0134] Among them, performance analysis may include system response time, valve movement time, system stability, dynamic fluctuations, etc., which can be determined based on simulation results; graphical display may include fuel flow change curve (i.e., fluctuations in fuel flow under different operating conditions), various pressure change curves (i.e., dynamic changes in fuel pressure, fuel supply pressure, return oil pressure, differential pressure, constant pressure, outlet pressure and other key pressure parameters under different flight conditions), response time diagram (i.e., time curve of valve opening and closing) and movement speed curve, etc.; general quality characteristic design may include reliability, maintainability, testability, security, safety and environmental adaptability; key technologies include but are not limited to anti-pollution, new configuration design, cost design and compact design.

[0135] Optionally, the file format of the design report template in the embodiment of the present application is not limited and can be set according to actual needs. For example, the design report template can be a Word document.

[0136] S602, generating a target design report according to the simulation results and the design report template.

[0137] Among them, the target design report includes target technical requirements, design parameters, simulation results and performance analysis.

[0138] Optionally, the target design report may also include chart presentation, general quality characteristic design, key technologies and simulation result analysis, etc.

[0139] Optionally, after each simulation is completed, a template design report can be generated based on the simulation results and the design report template, which can form a complete actual iteration history record, which is helpful to trace and analyze the actual evolution process; or when the simulation results meet the target technical requirements, a target design report can be generated based on the simulation results and the design report template, and then the generated target design report can be used for technical review or project department submission, which can effectively improve the efficiency of report generation.

[0140] Optionally, when generating a target design report, you can obtain the components included in the design report template, and then obtain the target data corresponding to each component, and fill the target number into the location of the component. For example, when the design report template includes a target technical requirement component, you can obtain the target technical requirements and the corresponding values, and fill the target technical requirements and the corresponding values ​​into the location of the target technical requirement component.

[0141] Optionally, generating a target design report based on simulation results and a design report template can be achieved through a Python script.

[0142] By acquiring the design report template and generating the target design report according to the simulation results and the design report template, the generation efficiency of the design report can be improved.

[0143] As an optional implementation, Figure 7 As shown, the method for generating a design scheme for an aircraft engine fuel system provided in an embodiment of the present application may include the following specific steps:

[0144] S701, receiving input information sent by the client.

[0145] The input information includes a design parameter list, and the design parameter list includes at least one design parameter and a value corresponding to the design parameter.

[0146] S702, determining a candidate model list according to the design parameter list, and sending the candidate model list to the client.

[0147] The candidate model list includes at least one candidate fuel system model.

[0148] S703, receiving a model selection instruction sent by the client, and acquiring a target fuel system model from a preset model library according to the model selection instruction.

[0149] Among them, the target fuel system model is the structure of the fuel system.

[0150] S704: Generate design parameters of the fuel system according to the target fuel system model and preset design criteria.

[0151] S705, performing simulation analysis on the target fuel system model and design parameters to determine simulation results.

[0152] S706, determining optimization items according to the simulation results and target technical requirements.

[0153] Among them, the optimization items are parts of the simulation results that do not meet the target technical requirements, and there are multiple optimization items.

[0154] S707, determining target optimization parameters that are sensitive to the optimization items according to a parameter sensitivity analysis method.

[0155] S708: Obtain the priority corresponding to each optimization item.

[0156] S709: Adjust the target optimization parameters of each optimization item according to each priority and a preset multi-objective optimization algorithm.

[0157] S710, looping the above steps S705 to S709 until the simulation results of the target fuel system model and design parameters meet the target technical requirements.

[0158] S711, obtain the design report template.

[0159] S712, generating a target design report according to the simulation results and the design report template.

[0160] Among them, the target design report includes target technical requirements, design parameters, simulation results and performance analysis.

[0161] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0162] Based on the same inventive concept, the embodiment of the present application also provides an aircraft engine fuel system design solution generation device for implementing the above-mentioned aircraft engine fuel system design solution generation method. The implementation solution provided by the device to solve the problem is similar to the implementation solution recorded in the above-mentioned method, so the specific limitations in one or more embodiments of the aircraft engine fuel system design solution generation device provided below can refer to the limitations of the aircraft engine fuel system design solution generation method above, and will not be repeated here.

[0163] In an exemplary embodiment, Figure 8 As shown, a device 800 for generating a design scheme for an aircraft engine fuel system is provided, comprising: an acquisition module 801, a parameter generation module 802, a simulation module 803 and an optimization module 804, wherein:

[0164] An acquisition module 801 is used to acquire a target fuel system model, where the target fuel system model is a structure of a target fuel system;

[0165] A parameter generation module 802, for generating design parameters of the fuel system according to a target fuel system model and preset design criteria;

[0166] The simulation module 803 is used to perform simulation analysis on the target fuel system model and design parameters and determine the simulation results;

[0167] The optimization module 804 is used to obtain the target technical requirements and optimize the design parameters according to the simulation results and the target technical requirements until the simulation results of the target fuel system model and the design parameters meet the target technical requirements.

[0168] In an exemplary embodiment, the optimization module 804 is specifically used to determine optimization items based on simulation results and target technical requirements, where the optimization items are parts of the simulation results that do not meet the target technical requirements; determine target optimization parameters that are sensitive to the optimization items based on a parameter sensitivity analysis method, and adjust the target optimization parameters.

[0169] In an exemplary embodiment, the optimization items include multiple optimization modules 804, which are specifically used to obtain the priority corresponding to each optimization item; and adjust the target optimization parameters of each optimization item according to each priority and a preset multi-objective optimization algorithm.

[0170] In an exemplary embodiment, the design parameters include drive shaft speed, boost pump specifications, metering flow range, safety valve margin, pressure difference before and after metering, set pressure, parking valve opening pressure, spring parameters, valve diameter, flow area, throttling nozzle area, filter element flow resistance, system response time, valve movement time, and electro-hydraulic conversion device characteristics; the target technical requirements include response time, movement speed, reduction of return oil volume, temperature compensation, oil supply flow and pressure accuracy.

[0171] In an exemplary embodiment, the acquisition module 801 is specifically used to receive input information sent by a client, the input information includes a design parameter list, the design parameter list includes at least one design parameter and a value corresponding to the design parameter; determine a candidate model list according to the design parameter list, and send the candidate model list to the client, the candidate model list includes at least one candidate fuel system model; receive a model selection instruction sent by the client, and obtain a target fuel system model from a preset model library according to the model selection instruction.

[0172] In an exemplary embodiment, the optimization module 804 is further used to obtain a design report template; generate a target design report according to the simulation results and the design report template, the target design report including target technical requirements, design parameters, simulation results and performance analysis.

[0173] Each module in the above-mentioned aircraft engine fuel system design scheme generation device can be implemented in whole or in part by software, hardware and their combination. Each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of each of the above modules.

[0174] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Fig. 9As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a method for generating a design scheme for an aircraft engine fuel system is implemented.

[0175] Those skilled in the art will understand that Fig. 9 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0176] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps described in any of the above method embodiments when executing the computer program.

[0177] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps described in any of the above method embodiments are implemented.

[0178] In one embodiment, a computer program product is provided, including a computer program, which implements the steps described in any of the above method embodiments when executed by a processor.

[0179] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0180] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0181] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for generating a design scheme for an aircraft engine fuel system, characterized in that: The method comprises: Acquire a target fuel system model, wherein the target fuel system model is a structure of the fuel system; generating design parameters of the fuel system according to the target fuel system model and preset design criteria; Performing simulation analysis on the target fuel system model and the design parameters to determine simulation results; Obtain target technical requirements, and optimize the design parameters according to the simulation results and the target technical requirements until the simulation results of the target fuel system model and the design parameters meet the target technical requirements.

2. The method according to claim 1, characterized in that The obtaining of target technical requirements and optimizing the design parameters according to the simulation results and the target technical requirements include: Determining optimization items according to the simulation results and the target technical requirements, wherein the optimization items are part of the simulation results that do not meet the target technical requirements; According to the parameter sensitivity analysis method, the target optimization parameters sensitive to the optimization items are determined, and the target optimization parameters are adjusted.

3. The method according to claim 2, characterized in that The optimization items include multiple items, and determining target optimization parameters sensitive to the optimization items according to the parameter sensitivity analysis method, and adjusting the target optimization parameters include: Obtaining the priority corresponding to each of the optimization items; The target optimization parameters of each optimization item are adjusted according to each priority and a preset multi-objective optimization algorithm.

4. The method according to any one of claims 1 to 3, characterized in that: The design parameters include transmission shaft speed, booster pump specifications, metering flow range, safety valve margin, pressure difference before and after metering, constant pressure, parking valve opening pressure, spring parameters, valve diameter, flow area, throttling nozzle area, filter element flow resistance, system response time, valve movement time, and electro-hydraulic conversion device characteristics; The target technical requirements include response time, movement speed, reduction of oil return volume, temperature compensation, oil supply flow and pressure accuracy.

5. The method according to claim 1, characterized in that: The obtaining of the target fuel system model comprises: Receive input information sent by a client, wherein the input information includes a design parameter list, wherein the design parameter list includes at least one design parameter and a value corresponding to the design parameter; Determine a candidate model list according to the design parameter list, and send the candidate model list to the client, wherein the candidate model list includes at least one candidate fuel system model; A model selection instruction sent by a client is received, and a target fuel system model is acquired from a preset model library according to the model selection instruction.

6. The method according to claim 1, characterized in that The method further comprises: Get the design report template; A target design report is generated according to the simulation results and the design report template, wherein the target design report includes target technical requirements, design parameters, simulation results and performance analysis.

7. A device for generating a design scheme for an aircraft engine fuel system, characterized in that: The device comprises: An acquisition module, used for acquiring a target fuel system model, wherein the target fuel system model is a structure of the target fuel system; A parameter generation module, used for generating design parameters of the fuel system according to the target fuel system model and preset design criteria; A simulation module, used to perform simulation analysis on the target fuel system model and the design parameters to determine simulation results; The optimization module is used to obtain the target technical requirements and optimize the design parameters according to the simulation results and the target technical requirements until the simulation results of the target fuel system model and the design parameters meet the target technical requirements.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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