CN108287959B - Method for executing source code of digital aircraft written by artificial intelligence programmer - Google Patents
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Abstract
The invention provides a method for executing a standard decision of a source code of a digital aircraft written by an artificial intelligence programmer, which comprises the following steps: performing multi-level decomposition on a source code of the digital aircraft; establishing a writing decision tree of a digital aircraft source code; establishing an artificial intelligence programmer for executing standard writing operation according to the branch condition of the decision tree; and reading the configuration information of the scene to be generated to generate the simulation source program of the digital aircraft. The method for executing the standard decision of the source code of the digital aircraft written by the artificial intelligence programmer greatly lightens the workload of people, shortens the development period of the digital aircraft, and provides better guarantee for the full life cycle of the aircraft. The objectivity and the universality of the simulation program are ensured, and a research, learning and training platform is provided for the requirements of the complex battlefield environment and the battle mission on the aircraft and the requirements on operators in the future.
Description
Technical Field
The invention relates to the technical field of intelligent writing decision of source codes, in particular to a standard decision execution method for a source code of a digital aircraft written by an artificial intelligence programmer.
Background
Due to the cost advantage of digital simulation, the digital simulation is widely applied to the fields of satellites, missiles, unmanned aerial vehicles and the like, and along with the continuous development of computer technology, the application proportion of the digital simulation is continuously improved in the whole life cycle of design, test, operation and the like of various aircrafts. The main problem of digital simulation is the difference from the real system, so how to ensure the complete consistency of function, composition, structure, mode, program and operation between the two is a key problem. The artificial writing of the digital aircraft simulation source program which has the consistency with a real system has the advantages of huge workload and longer period, and the limitation is more obvious in the face of increasing the types and models of the aircraft.
In the face of complex environment and task requirements in the future, coordination and confrontation among aircrafts are gradually improved, the integration difficulty of the digital aircrafts is high due to the difference of modeling specifications in various fields, human subjective factors are inevitably brought into artificial writing simulation, and the problems provide challenges for objectivity and universality of digital aircraft modeling.
Therefore, how to provide an artificial intelligence programmer written digital aircraft source code specification decision execution method for overcoming the integration problems caused by the digital simulation limitations and simulation differences is a problem to be solved by those skilled in the art.
Disclosure of Invention
In view of the above, the present invention provides a decision-making execution method for a source code specification of a digital aircraft written by an artificial intelligence programmer, which proposes to use an artificial intelligence technology to construct an intelligent programmer to implement rapid intelligent construction of a simulation source code of a digital aircraft, aiming at the limitations of the simulation source code of the digital aircraft written by the artificial intelligence programmer and the integration problems caused by digital simulation differences in various fields.
In order to achieve the purpose, the invention adopts the following technical scheme:
an artificial intelligence programmer written digital aircraft source code specification decision execution method is characterized by comprising the following steps:
the method comprises the following steps that firstly, multi-dimensional decomposition is carried out on a digital aircraft source code by using a plurality of dimensional decomposition methods to obtain a minimum decomposition result;
clustering the minimum decomposition result, and establishing a digital aircraft source code writing decision tree;
step three, establishing an artificial intelligence programmer for executing standard writing operation according to the branch condition of the decision tree;
and fourthly, reading the configuration information of the scene to be generated by the artificial intelligence programmer to generate the digital aircraft simulation source program.
Preferably, the multiple dimension decomposition method in the first step at least comprises: code hierarchy, aircraft type, system dimensions, simulation granularity, and cross-combinations between multiple dimension decomposition methods.
Decomposing according to code level, including system layer and application layer;
decomposing missile, satellite, unmanned plane and rocket according to the type of the aircraft;
decomposing each aircraft type according to the system dimension comprises subsystems, parts and elements; the decomposition of the source code according to the system dimension comprises engineering, files, variables and functions.
Decomposing according to simulation granularity, decomposing into single subsystem simulation, multi-subsystem simulation and full subsystem simulation from the angle of a subsystem, decomposing the subsystems into multiple granularities from a low-fidelity ideal subsystem model to a complex subsystem model according to the subsystem simulation granularity, and decomposing from the component model simulation granularity into an ideal component model, a component model added with integral errors, a component model added with faults and a component element level high-fidelity component model.
Preferably, the second step specifically includes:
(1) clustering the minimum decomposition result, and giving out an applicable object and an applicable condition of the clustered branches;
(2) and after clustering the minimum decomposition result, establishing a decision tree.
Preferably, the clustering is performed according to a mode comprising generality and working logic:
clustering application layer codes in the code hierarchy according to the universality, wherein the application layer codes comprise three parts, namely general aircraft, general aircraft of the same type and special aircraft models;
the aircraft motion control part is clustered according to the aircraft working logic mode, and the clustering device comprises an aircraft state determining module, a flight process state monitoring and specific condition meeting switching logic module and an aircraft motion control module.
Preferably, in the third step:
selecting a source code writing execution method according to the application range, the change frequency and the change mode factors, and establishing an intelligent programmer;
the writing operation specification execution method comprises saving the writing operation specification execution method into a file, saving the writing operation specification execution method into a database and fixing writing logic in an artificial intelligence programmer.
Preferably, the fourth step specifically includes:
(1) the intelligent programmer reads that a scene needing to be generated contains aircraft configuration information;
(2) and judging the aircraft configuration information layer by layer according to the branch applicable condition of the decision tree, acquiring a source code writing operation execution method, executing the writing operation and automatically generating a source code.
Compared with the prior art, the technical scheme has the advantages that: the computer is used for replacing an artificial intelligence programmer to complete intelligent writing of the digital aircraft source code with clear specifications, so that the subjective factors of people in the simulation program are reduced, the workload of people is greatly reduced, the development period of the digital aircraft is shortened, and the full life cycle of the aircraft is better guaranteed. The platform for researching, learning and training is provided for the requirements of the complex battlefield environment and the battle mission on the aircraft and the operators.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a flow chart of a method for performing a decision by an artificial intelligence programmer to write a specification of source code for a digital aircraft, provided in accordance with the present invention;
FIG. 2 is a schematic exploded view of a source code decision tree for a digital aircraft built according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a schematic overall flow chart of a method for executing a decision for a source code specification of a digital aircraft written by an artificial intelligence programmer.
Step S101: and performing multi-level decomposition on the source code of the digital aircraft by using a plurality of dimensional decomposition methods.
The decomposition method mainly comprises code hierarchy, aircraft type, system dimension, simulation granularity and cross combination among multiple decomposition methods.
The decomposition according to the code level mainly comprises a system layer and an application layer. The system layer is mainly a modularized source code for realizing specific functions, is irrelevant to the aircraft, and comprises a mathematic basic module, a mechanics basic module, a negotiation communication module, a data processing module, a file operation module and the like in combination with the attached figure 2. The application layer is primarily the source code of the aircraft portion.
The decomposition includes missile, satellite, unmanned plane, rocket, etc. according to the type of the aircraft.
Each aircraft type is decomposed in system dimensions including subsystems, components, elements, etc. The decomposition of the source code according to the system dimension comprises engineering, files, variables and functions.
Referring to fig. 2, taking a satellite as an example, the subsystems include a structure subsystem, an attitude and orbit control subsystem, a power supply subsystem, a measurement and control subsystem, a propulsion subsystem, a thermal control subsystem, a pipe counting system, a payload, and the like. The missile subsystem comprises a structure subsystem, a guidance control system, a propulsion system, an energy system, a war guidance system and the like.
Each subsystem is decomposed into components, taking the attitude and orbit control of the satellite as an example, the system also comprises a sensor, an actuating mechanism and a controller, the sensor is decomposed into a gyroscope, a sun sensor, an earth sensor, a star sensor, a magnetometer and the like, the actuating mechanism comprises a thruster, a momentum wheel, a control moment gyroscope, a magnetic torquer and the like, and the controller is mainly a main backup satellite-borne computer. The conditions including a gyro, an accelerometer, 3 combinations of momentum wheels, 3+1S combinations and the like, 8 combinations of thrusters, 12 combinations, 14 combinations and the like are decomposed according to the combination condition among the components, and the conditions of cold backup, hot backup and the like of other components exist.
Each component source code of the attitude and orbit control subsystem can be decomposed into variable definition, component sending information, component receiving information, component model algorithm, component state propulsion and component data archiving. The digital aircraft source code can be decomposed into an attitude determination module, an attitude control module and a mode monitoring and switching module.
The method comprises the following steps of decomposing into single subsystem simulation, multi-subsystem simulation and full subsystem simulation from the perspective of subsystem simulation according to simulation granularity decomposition, decomposing into various granularities from a subsystem simulation granularity from a low-fidelity ideal subsystem model to a complex subsystem model, and decomposing into an ideal component model, a component model with integral errors, a component model with faults, a component element level high-fidelity component model and the like from the granularity of the component model.
The digital aircraft source code is decomposed to the minimum level, namely the minimum decomposition result, by using a plurality of decomposition methods, and the minimum decomposition result is implemented to projects, files, variables and functions. Besides the above description, there are many decomposition methods, which are not described in detail herein.
Step S102: and establishing a digital aircraft source code writing decision tree.
This step can be subdivided into the following two small steps:
(1) clustering the minimum decomposition result, and providing applicable objects and applicable conditions of the branches after clustering
The clustering method comprises the following steps of universality and a working logic mode.
And clustering the application layer codes according to the universality, wherein the application layer codes comprise three parts, namely general aircraft, general aircraft of the same type and special aircraft models. For example, the part source code section, all aircraft parts are substantially common and consistent in implementation, thus grouping all aircraft part source codes into one class.
Clustering is carried out according to a working logic mode, a source code of a posture and orbit control subsystem in a satellite mainly comprises a posture determining module, a posture control module and a mode monitoring and switching module, a missile guidance control system comprises a flight event monitoring and switching module, a guidance module and a control module, the working logic modes of two aircrafts are basically consistent, so that the implementation modes are clustered into one class, the source code motion control part of the aircrafts is divided into three parts according to a clustered result, the first part is an aircraft state determining module, the second part is a state monitoring and specific condition meeting switching logic module in the flight process, and the third part is an aircraft motion control module.
(2) Establishing a programmer written digital aircraft source code complete decision tree
After clustering the source code decomposition results, a decision tree is established, as shown in fig. 2, the digital aircraft source code decision tree decomposes partial branch results.
Step S103: and establishing an artificial intelligence programmer for executing the standard writing operation according to the branch condition of the decision tree.
And selecting a source code writing execution method according to the application range, the change frequency and the change mode factors, and establishing an intelligent programmer.
The writing operation specification execution method comprises saving the writing operation specification execution method into a file, saving the writing operation specification execution method into a database and fixing writing logic in an artificial intelligence programmer.
And decomposing results according to the application range, wherein all system layer source codes are independent of the aircraft and are fixed codes, so that the source codes are stored as fixed files, and the intelligent programmer only needs to copy corresponding paths when writing the digital aircraft source program.
According to the change frequency, each component source code changes every time of generation according to different variables, different information transmission, different component models and multiple levels of the component models, so that all the component source codes of the digital aircraft are realized by fixing writing logic in an artificial intelligence programmer. The component source code comprises variable definition, component sending information, component receiving information, a component model, component state advancing and component data archiving, wherein the component model, the component state advancing and the component data archiving are basically unchanged, the information quantity of a variable definition part source code and a component receiving and sending information part source code is large, the change frequency is high, the whole component source code file is decomposed, the component model, the component state advancing and the component data archiving 3 parts of source codes are realized in a fixed code mode, the variable definition part source code and the component receiving and sending information part source code are generated according to generation logic by adopting a generation program, the generation program finishes writing or copying of the source code in a mixed mode, and finally finishes the generation of the whole component source code file.
The aircraft source code motion control section is described in detail below. And dividing the part of source codes into an aircraft state determination file, an aircraft motion control file, a state monitoring and specific situation meeting switching logic file 3 part according to the decision tree.
The aircraft state determination file mainly utilizes detection information transmitted to the controller by the state determination component to determine the aircraft state, and mainly comprises position determination and attitude determination, the algorithm is a general algorithm and comprises a gyro angular velocity measurement method, a gyro integral angle measurement method, an earth sensor angle measurement method, a magnetometer magnetic field strength measurement method, an accelerometer acceleration measurement method, a GPS (global position system) receiving position information and the like, and the algorithm is stored as a fixed file and is a method with the minimum cost. And according to the state determining component and the state determining module used by different aircrafts, code splicing and copying are carried out by reading the configuration result in the database to complete the file generation.
The implementation mode of the aircraft motion control file is similar to that of the determined file, the PID control module, the momentum wheel control logic, the thruster phase plane control logic and the steering engine control logic are saved as logic control files, the aircraft execution method is obtained by reading a database, and code splicing and copying are completed.
The state monitoring and specific condition meeting switching logic file of the flight process comprises a series of state switching monitoring functions, controller parameter initialization functions, flight state definition functions and the like.
The aircraft determines whether to switch to some other event or not by judging state information according to different switching logics of the state of the current flight mode, and the optimal implementation mode is to fixedly generate logic in an intelligent programmer and generate the logic according to configured switching conditions and a target mode along with different aircrafts.
The controller parameter initialization function is called when the flight mode is switched every time, and is different along with the difference of the types of the aircrafts, the control algorithm, the flight mode and the flight scene, so that each aircraft has set parameters, logic is fixedly generated in an intelligent programmer through an optimal implementation mode, and the logic is generated according to the configured control parameters.
And the flight state definition function calls a state determination algorithm, a state switching monitoring function and an attitude control algorithm of the current mode in sequence according to the flight flow to complete the whole control process of measurement control. Each aircraft and each mode are different, and the optimal realization mode is that the configuration file is read by an intelligent programmer, and the function call generation is completed according to the fixed generation logic.
Step S104: and reading the configuration information of the scene to be generated to generate the simulation source program of the digital aircraft.
This step can be subdivided into the following two small steps:
(1) intelligent programmer reads that the required generated scene contains aircraft configuration information
The artificial intelligence programmer formed in step S103 is used to read the profile input information required to write the digital flight.
The configuration file is decomposed according to file types and comprises a database, a formatted file (xml file), a file library and the like.
The profiles are broken down according to applicability, including common to all aircraft, common to each type of aircraft, and specific to each model.
All aircraft are commonly used as library files for storing component information, wherein the stored information comprises component types, different component models contained under each component type, variables, component models, interfaces and the like contained in each type of component.
The general use of each type of aircraft is primarily a dynamics-related library file.
Each model mainly comprises working parameters of each subsystem of the aircraft, including component and installation information, aircraft configuration information, information transmission processing configuration files and the like.
(2) Judging layer by layer according to the branch applicable condition of the decision tree, obtaining a source code writing operation execution method, executing the writing operation and automatically generating the source code
And judging and screening the meeting conditions of branches of each level of the decision tree according to the branch statements of the decision tree in the intelligent programmer, and searching the minimum branch of each step in the writing process.
According to the writing method of each branch, the writing of the source code of the complete digital aircraft system is completed through the modes of writing of a source code generating program, reading and writing of a database, direct copying of a file and replacement and copying of the file.
The method for executing the decision of the source code specification written by the artificial intelligence programmer provided by the invention is described in detail, the principle and the implementation mode of the invention are explained by applying part of specific cases in the text, and the specific implementation description is only used for helping to understand the method and the core idea of the invention; while the invention has been described in terms of specific embodiments and applications, it will be apparent to those skilled in the art that variations may be applied to the invention without departing from the spirit and scope of the invention as defined in the following claims.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (5)
1. An artificial intelligence programmer written digital aircraft source code execution method, comprising the following steps:
the method comprises the following steps that firstly, multi-dimensional decomposition is carried out on a digital aircraft source code by using a plurality of dimensional decomposition methods to obtain a minimum decomposition result; the multiple dimension decomposition methods at least include: code hierarchy, aircraft type, system dimensions, simulation granularity, and cross-combinations between multiple dimension decomposition methods:
decomposing according to code level, including system layer and application layer;
decomposing missile, satellite, unmanned plane and rocket according to the type of the aircraft;
decomposing each aircraft type according to the system dimension comprises subsystems, parts and elements; decomposing a source code according to a system dimension, wherein the source code comprises a project, a file, a variable and a function;
decomposing according to simulation granularity, decomposing into single subsystem simulation, multi-subsystem simulation and full subsystem simulation from the angle of a subsystem, decomposing the subsystems into multiple granularities from a low-fidelity ideal subsystem model to a complex subsystem model according to the subsystem simulation granularity, and decomposing from part model simulation granularity into an ideal part model, a part model added with integral errors, a part model added with faults and a part element level high-fidelity part model;
clustering the minimum decomposition result, and establishing a digital aircraft source code writing decision tree;
step three, establishing an artificial intelligence programmer for executing standard writing operation according to the branch condition of the decision tree of the clustering result;
and fourthly, reading the configuration information of the scene to be generated by the artificial intelligence programmer to generate the digital aircraft simulation source program.
2. The method of claim 1, wherein the second step specifically comprises:
(1) clustering the minimum decomposition result, and giving out an applicable object and an applicable condition of the clustered branches;
(2) and after clustering the minimum decomposition result, establishing a decision tree.
3. The artificial intelligence programmer-written digital aircraft source code execution method of claim 2, wherein the clustering is based on a set of criteria including commonality, working logic:
clustering application layer codes in the code hierarchy according to the universality, wherein the application layer codes comprise three parts, namely general aircraft, general aircraft of the same type and special aircraft models;
and clustering according to the working logic mode of the aircraft, wherein the clustering comprises aircraft operation control, aircraft energy control and aircraft internal and external communication.
4. The artificial intelligence programmer-written digital aircraft source code execution method of claim 1, wherein in step three:
selecting a source code writing execution method according to the application range, the change frequency and the change mode factors, and establishing an intelligent programmer;
the writing operation specification execution method comprises saving the writing operation specification execution method into a file, saving the writing operation specification execution method into a database and fixing writing logic in an artificial intelligence programmer.
5. The method of claim 1, wherein the fourth step specifically comprises:
(1) the intelligent programmer reads that a scene needing to be generated contains aircraft configuration information;
(2) and judging the aircraft configuration information layer by layer according to the applicable condition of the decision tree branches of the clustering result, acquiring a source code writing operation execution method, and executing the writing operation to automatically generate a source code.
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| CN109062549B (en) * | 2018-07-20 | 2022-07-01 | 北京航空航天大学 | Method and device for writing satellite channel telemetering decoding program by artificial intelligence |
| CN109214042B (en) * | 2018-07-20 | 2023-04-07 | 北京航空航天大学 | Method for writing data relay load source code by artificial intelligence programmer |
| CN109117125B (en) * | 2018-07-20 | 2021-05-25 | 北京航空航天大学 | Artificial intelligence writing method for source codes of digital aircraft in multiple platforms and multiple operation modes |
| CN109240672B (en) * | 2018-07-20 | 2022-02-11 | 北京航空航天大学 | Artificial intelligence writing method for information transmission source code of single machine component of digital aircraft |
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| CN109214043B (en) * | 2018-07-20 | 2023-04-07 | 北京航空航天大学 | Artificial intelligence writing method for digital aircraft dynamics environment information transmission source code |
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