CN114036767A - Method and device for designing functional meta-model of distributed intelligent system - Google Patents
Method and device for designing functional meta-model of distributed intelligent system Download PDFInfo
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Abstract
The application provides a method and a device for designing a function meta-model of a distributed intelligent system, which belong to the technical field of system engineering, and comprise the following steps: decomposing the functions of the distributed intelligent system; modeling a system view of the distributed intelligent system based on the decomposed functions; an auxiliary tool for designing a functional meta-model of a distributed intelligent system. The method and the device solve the problems that the functional model of the distributed intelligent system is low in construction efficiency and difficult to verify and multiplex, improve the construction efficiency of the functional model of the distributed intelligent system, are convenient to verify and multiplex, and are used for the distributed intelligent system.
Description
Technical Field
The application belongs to the technical field of system engineering, and particularly relates to a method and a device for designing a distributed intelligent system function meta-model.
Background
With the complexity of task environment, the diversification of task styles and the systematization of task concepts, new requirements are put forward on the development method, the process and the period of the aircraft, and the defects of ambiguity, incapability of verification, difficulty in multiplexing and the like of document transmission in the traditional aircraft development method based on documents are gradually replaced by a Model-based Systems Engineering (MBSE) method. A distributed intelligence system is a system with artificial intelligence calculations for processing the physical form distribution of airborne related data. Distributed intelligence systems typically employ the MBSE method for top-down functional analysis.
However, when the MBSE method is adopted, the functional model of the distributed intelligent system has the problems of low construction efficiency and difficulty in verification and reuse.
Disclosure of Invention
In order to solve the problems of low efficiency and difficulty in verification and reuse of the construction of a distributed intelligent system function model in the related art, the application provides a method for designing a distributed intelligent system function meta-model, and the technical scheme is as follows:
in a first aspect, a method for designing a function meta-model of a distributed intelligent system is provided, where the method includes:
decomposing the functions of the distributed intelligent system;
modeling a system view of the distributed intelligent system based on the decomposed functions;
an auxiliary tool for designing a functional meta-model of a distributed intelligent system.
Wherein decomposing the functions of the distributed intelligence system comprises:
acquiring task requirements of an upper layer from a task view, wherein the task view is acquired based on an MBSE analysis mode;
constructing a first mapping matrix from task requirements of an upper layer to an avionic system;
determining the composition of an avionic system meeting the task requirements according to the first mapping matrix;
constructing a second mapping matrix from system functions to task requirements according to the composition of the avionics system;
and distributing corresponding system functions to the task requirements according to the second mapping matrix.
Wherein the decomposition-based functionality models a system view of a distributed intelligence system, comprising:
constructing a definition view of a distributed intelligent system composition and an external interface, wherein the definition view is used for reflecting the incidence relation between the avionics system and the personnel type;
constructing a relation view of a distributed intelligent system, wherein the relation view is used for reflecting the relation among all avionic subsystems and the interface and interface interaction relation among the avionic systems;
constructing a functional flow description view of the distributed intelligent system, wherein the functional flow description view is used for reflecting the top-level functional requirements of the avionic system, the composition and the hierarchical relation of standard functions of the avionic system, and data flow and functional flow between the avionic systems;
constructing a constraint view of the distributed intelligent system, wherein the constraint view is used for reflecting constraint conditions which influence system functions when the system is designed or executed;
constructing a time sequence description view of the distributed intelligent system, wherein the time sequence description view is used for reflecting task time sequences of all avionic systems under a specified task rule and event interaction among all avionic systems;
constructing a state transition view of the distributed intelligent system, wherein the state transition view is used for reflecting states executed by each avionic system and transition relations among the states, and event driving possibly received by each avionic system;
and constructing a measurement view of the distributed intelligent system, wherein the measurement view is used for reflecting the performance index and the dimension of the system.
Wherein, the auxiliary tool for designing the function meta-model of the distributed intelligent system comprises:
designing a basic environment;
designing a model of the architecture based on the meta-model library;
verifying the model of the architecture;
developing and managing requirements;
and updating and calling the meta-model library.
In a second aspect, an apparatus for designing a distributed intelligent system function meta-model is provided, the apparatus comprising:
the decomposition module is used for decomposing the functions of the distributed intelligent system;
the modeling module is used for modeling a system view of the distributed intelligent system based on the decomposed functions;
and the design module is used for designing an auxiliary tool of the functional meta-model of the distributed intelligent system.
Wherein, the decomposition module is specifically configured to:
acquiring task requirements of an upper layer from a task view, wherein the task view is acquired based on an MBSE analysis mode;
constructing a first mapping matrix from task requirements of an upper layer to an avionic system;
determining the composition of an avionic system meeting the task requirements according to the first mapping matrix;
constructing a second mapping matrix from system functions to task requirements according to the composition of the avionics system;
and distributing corresponding system functions to the task requirements according to the second mapping matrix.
Wherein the modeling module is specifically configured to:
constructing a definition view of a distributed intelligent system composition and an external interface, wherein the definition view is used for reflecting the incidence relation between the avionics system and the personnel type;
constructing a relation view of a distributed intelligent system, wherein the relation view is used for reflecting the relation among all avionic subsystems and the interface and interface interaction relation among the avionic systems;
constructing a functional flow description view of the distributed intelligent system, wherein the functional flow description view is used for reflecting the top-level functional requirements of the avionic system, the composition and the hierarchical relation of standard functions of the avionic system, and data flow and functional flow between the avionic systems;
constructing a constraint view of the distributed intelligent system, wherein the constraint view is used for reflecting constraint conditions which influence system functions when the system is designed or executed;
constructing a time sequence description view of the distributed intelligent system, wherein the time sequence description view is used for reflecting task time sequences of all avionic systems under a specified task rule and event interaction among all avionic systems;
constructing a state transition view of the distributed intelligent system, wherein the state transition view is used for reflecting states executed by each avionic system and transition relations among the states, and event driving possibly received by each avionic system;
and constructing a measurement view of the distributed intelligent system, wherein the measurement view is used for reflecting the performance index and the dimension of the system.
Wherein, the design module is specifically configured to:
designing a basic environment;
designing a model of the architecture based on the meta-model library;
verifying the model of the architecture;
developing and managing requirements;
and updating and calling the meta-model library.
The method and the device for designing the function meta-model of the distributed intelligent System explore the application of the meta-model modeling technology in the design and integration of the distributed intelligent System, and expand the potential of the conventional model-based System engineering (MBSE) method in the design and deployment of System Family (System Family) oriented System architecture. Developing a design flow and a framework research of a system architecture function meta-model, defining a system function hierarchical organization and a componentization splitting specification of task requirements, and forming a standardized system function division method; developing the definition research of the functional meta-model of the system architecture, encapsulating the meta-model to form an architecture design asset basic database, and providing a basis for model asset reuse; and constructing a system architecture design and integration environment based on the meta-model, forming an auxiliary tool of the functional meta-model of the distributed intelligent system, and realizing the rapid design and integration of the system.
Drawings
FIG. 1 is a flow chart of a method for designing a distributed intelligence system functional meta-model provided by the present application;
FIG. 2 is a schematic diagram illustrating a process of building a distributed intelligence system functional meta-model provided by the present application;
FIG. 3 is a schematic diagram of the mapping and delivery of distributed intelligence system capabilities to tasks provided herein;
FIG. 4 is a schematic diagram of a task-to-system mapping for a distributed intelligence system as provided herein;
FIG. 5 is a schematic diagram illustrating the function transfer and decomposition of a distributed intelligence system provided herein;
FIG. 6 is a schematic diagram of a system view construction flow diagram for a distributed intelligence system as provided herein;
fig. 7 is a working schematic diagram of a distributed intelligence system functional meta-model aided design tool provided by the present application.
Detailed Description
The present application will now be described in further detail with reference to specific embodiments and the accompanying drawings.
According to the method and the system, system function decomposition and function mapping are carried out on the basis of the task view, the system view is constructed according to the aircraft and task flow analysis in the task view and the task-system mapping matrix, functional elements in the system view are extracted on the basis of the system view subjected to simulation verification, a system function meta-model library is formed, distributed intelligent system function decomposition and system view rapid construction can be achieved, and the rapid combination, verification and reuse of the distributed intelligent system function meta-model are achieved through development of an auxiliary design tool.
The functional meta-model is a model used for defining and depicting a functional modeling language, is equivalent to providing standard grammar and specifications suitable for the field, is essentially a data element with strict logic rules established according to frame standards in the process of system functional design, defines professional terms and standard underlying data storage specifications, and can effectively guide data resources demonstrated by iterative optimization to form an authoritative model resource library.
The application provides a method for designing a function meta-model of a distributed intelligent system, as shown in fig. 1, the method comprises the following steps:
110, decomposing the functions of the distributed intelligent system;
and step 130, designing an auxiliary tool of the function meta-model of the distributed intelligent system.
The present application also provides another method for designing a function meta-model of a distributed intelligent system, as shown in fig. 2, the method includes:
1) decomposing the functions of the distributed intelligent system;
decomposing functions of a distributed intelligence system, comprising:
acquiring task requirements of an upper layer from a task view, wherein the task view is acquired based on an MBSE analysis mode;
constructing a first mapping matrix from task requirements of an upper layer to an avionic system;
determining the composition of an avionic system meeting the task requirements according to the first mapping matrix;
constructing a second mapping matrix from system functions to task requirements according to the composition of the avionics system;
and distributing corresponding system functions to the task requirements according to the second mapping matrix.
As shown in fig. 3, 4 and 5, based on the task view, a task-system mapping matrix is constructed, the task requirements of the upper layer are transmitted to the system through the matrix, the system composition meeting the task requirements is determined, and on this basis, the system functions and the tasks are further mapped to perform the allocation of the system functions:
the detailed process of the function decomposition of the distributed intelligent system is as follows: based on a typical task scene, modeling from a concept of a top layer to task capacity, transmitting and decomposing a task mission and capacity of the top layer downwards, constructing a task view model of a task level, and mapping behavior activities and a system by constructing a mapping relation of the task activities and the system to construct a system level model of the avionic system. The system architecture design based on the meta-model follows the design principle of top-level capability, task activity, system and layer-by-layer progression, and the system architecture design method and process of each level meta-model are researched by constructing the mapping matrix of each level meta-model, so that the distributed intelligent system function decomposition reference guide is finally formed.
2) A system view of the distributed intelligence system is modeled based on the decomposed functionality.
Modeling a system view of a distributed intelligence system based on decomposed functions, comprising:
constructing a defined view of a distributed intelligent system and an external interface, wherein the defined view is used for reflecting the incidence relation between the avionics system and the personnel type;
constructing a relation view of the distributed intelligent system, wherein the relation view is used for reflecting the relation among all avionic subsystems and the interface and interface interaction relation among the avionic systems;
constructing a functional flow description view of the distributed intelligent system, wherein the functional flow description view is used for reflecting the top-level functional requirements of the avionic system, the composition and the hierarchical relation of standard functions of the avionic system, and data flow and functional flow among the avionic systems;
constructing a constraint view of the distributed intelligent system, wherein the constraint view is used for reflecting constraint conditions influencing system functions when the system is designed or executed;
constructing a time sequence description view of the distributed intelligent system, wherein the time sequence description view is used for reflecting task time sequences of all avionic systems under a specified task rule and event interaction among all avionic systems;
constructing a state transition view of the distributed intelligent system, wherein the state transition view is used for reflecting states executed by each avionic system and a transition relation among the states, and event driving possibly received by each avionic system;
and constructing a measurement view of the distributed intelligent system, wherein the measurement view is used for reflecting the performance index and the dimension of the system.
Determining the type of each avionic subsystem according to the analysis of the aircraft and the task flow in the task view and a task-system mapping matrix, and analyzing the activities required to be executed by the avionic system based on the avionic system working flow; integrating the activities executed by each avionic system to obtain the functions of the avionic system; analyzing various constraints of the avionic system during working one by one, and analyzing the activity time sequence of the system based on the constraints; determining the migration relationship among all states executed by each avionic subsystem; and finally, based on the analysis of the system service, the performance index measurement of the system is drawn.
Carrying out system view modeling based on a system service analysis result, firstly constructing a system decomposition and external interface definition view, and describing avionic system components and interface relations between the avionic system components and the external interface definition view; constructing a system relation view and describing the relation between subsystems; constructing a system function flow description view analysis system function flow; analyzing the constraint conditions of the system model and constructing a system constraint view; and constructing a system time sequence description view and a system state transition view according to the system function flow description view, and finally constructing a system measurement view based on the completed system view to describe the performance index and the dimension of the system. And finally, generating a code based on the constructed model, and performing simulation verification on the constructed system view, wherein fig. 6 is a flow chart for constructing the system view.
3) An auxiliary tool for designing a functional meta-model of a distributed intelligent system.
An aid to designing a functional meta-model for a distributed intelligence system, comprising:
designing a basic environment;
designing a model of the architecture based on the meta-model library;
verifying the model of the architecture;
developing and managing requirements;
and updating and calling the meta-model library.
And extracting functional elements in the system view based on the system view subjected to simulation verification to form a system meta-model library. The characteristic elements of the system meta-model library include system operation, event response, system activity, system ports, system standard functions, and system global events. And extracting the characteristic elements from the system view and storing the characteristic elements in a database form to form a system function meta-model library.
The auxiliary design tool for the functional meta-model of the distributed intelligent system is composed of five modules, namely a design basic environment, model design based on a meta-model library, verification of a model of a framework, development and management of requirements, and updating and calling of the meta-model library, and is shown in fig. 7.
The method and the device for designing the function meta-model of the distributed intelligent System explore the application of the meta-model modeling technology in the design and integration of the distributed intelligent System, and expand the potential of the conventional model-based System engineering (MBSE) method in the design and deployment of System Family (System Family) oriented System architecture. Developing a design flow and a framework research of a system architecture function meta-model, defining a system function hierarchical organization and a componentization splitting specification of task requirements, and forming a standardized system function division method; developing the definition research of the functional meta-model of the system architecture, encapsulating the meta-model to form an architecture design asset basic database, and providing a basis for model asset reuse; and constructing a system architecture design and integration environment based on the meta-model, forming an auxiliary tool of the functional meta-model of the distributed intelligent system, and realizing the rapid design and integration of the system.
The present application further provides a distributed intelligent system function meta-model design device, which includes:
the decomposition module is used for decomposing the functions of the distributed intelligent system;
the modeling module is used for modeling a system view of the distributed intelligent system based on the decomposed functions;
and the design module is used for designing an auxiliary tool of the functional meta-model of the distributed intelligent system.
Wherein, the decomposition module is specifically configured to:
acquiring task requirements of an upper layer from a task view, wherein the task view is acquired based on an MBSE analysis mode;
constructing a first mapping matrix from task requirements of an upper layer to an avionic system;
determining the composition of an avionic system meeting the task requirements according to the first mapping matrix;
constructing a second mapping matrix from system functions to task requirements according to the composition of the avionics system;
and distributing corresponding system functions to the task requirements according to the second mapping matrix.
Wherein, the modeling module is specifically configured to:
constructing a defined view of a distributed intelligent system and an external interface, wherein the defined view is used for reflecting the incidence relation between the avionics system and the personnel type;
constructing a relation view of the distributed intelligent system, wherein the relation view is used for reflecting the relation among all avionic subsystems and the interface and interface interaction relation among the avionic systems;
constructing a functional flow description view of the distributed intelligent system, wherein the functional flow description view is used for reflecting the top-level functional requirements of the avionic system, the composition and the hierarchical relation of standard functions of the avionic system, and data flow and functional flow among the avionic systems;
constructing a constraint view of the distributed intelligent system, wherein the constraint view is used for reflecting constraint conditions influencing system functions when the system is designed or executed;
constructing a time sequence description view of the distributed intelligent system, wherein the time sequence description view is used for reflecting task time sequences of all avionic systems under a specified task rule and event interaction among all avionic systems;
constructing a state transition view of the distributed intelligent system, wherein the state transition view is used for reflecting states executed by each avionic system and a transition relation among the states, and event driving possibly received by each avionic system;
and constructing a measurement view of the distributed intelligent system, wherein the measurement view is used for reflecting the performance index and the dimension of the system.
Wherein, the design module is specifically configured to:
designing a basic environment;
designing a model of the architecture based on the meta-model library;
verifying the model of the architecture;
developing and managing requirements;
and updating and calling the meta-model library.
The foregoing merely represents embodiments of the present application, which are described in greater detail and detail, and therefore should not be construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application.
Claims (8)
1. A method for designing a distributed intelligent system function meta-model is characterized by comprising the following steps:
decomposing the functions of the distributed intelligent system;
modeling a system view of the distributed intelligent system based on the decomposed functions;
an auxiliary tool for designing a functional meta-model of a distributed intelligent system.
2. The method of claim 1, wherein decomposing the functionality of the distributed intelligence system comprises:
acquiring task requirements of an upper layer from a task view, wherein the task view is acquired based on an MBSE analysis mode;
constructing a first mapping matrix from task requirements of an upper layer to an avionic system;
determining the composition of an avionic system meeting the task requirements according to the first mapping matrix;
constructing a second mapping matrix from system functions to task requirements according to the composition of the avionics system;
and distributing corresponding system functions to the task requirements according to the second mapping matrix.
3. The method of claim 1, wherein the decomposition-based functionality models a system view of a distributed intelligence system, comprising:
constructing a definition view of a distributed intelligent system composition and an external interface, wherein the definition view is used for reflecting the incidence relation between the avionics system and the personnel type;
constructing a relation view of a distributed intelligent system, wherein the relation view is used for reflecting the relation among all avionic subsystems and the interface and interface interaction relation among the avionic systems;
constructing a functional flow description view of the distributed intelligent system, wherein the functional flow description view is used for reflecting the top-level functional requirements of the avionic system, the composition and the hierarchical relation of standard functions of the avionic system, and data flow and functional flow between the avionic systems;
constructing a constraint view of the distributed intelligent system, wherein the constraint view is used for reflecting constraint conditions which influence system functions when the system is designed or executed;
constructing a time sequence description view of the distributed intelligent system, wherein the time sequence description view is used for reflecting task time sequences of all avionic systems under a specified task rule and event interaction among all avionic systems;
constructing a state transition view of the distributed intelligent system, wherein the state transition view is used for reflecting states executed by each avionic system and transition relations among the states, and event driving possibly received by each avionic system;
and constructing a measurement view of the distributed intelligent system, wherein the measurement view is used for reflecting the performance index and the dimension of the system.
4. The method of claim 1, wherein the auxiliary tool for designing the functional meta-model of the distributed intelligence system comprises:
designing a basic environment;
designing a model of the architecture based on the meta-model library;
verifying the model of the architecture;
developing and managing requirements;
and updating and calling the meta-model library.
5. A distributed intelligent system function meta-model design apparatus, the apparatus comprising:
the decomposition module is used for decomposing the functions of the distributed intelligent system;
the modeling module is used for modeling a system view of the distributed intelligent system based on the decomposed functions;
and the design module is used for designing an auxiliary tool of the functional meta-model of the distributed intelligent system.
6. The apparatus of claim 5, wherein the decomposition module is specifically configured to:
acquiring task requirements of an upper layer from a task view, wherein the task view is acquired based on an MBSE analysis mode;
constructing a first mapping matrix from task requirements of an upper layer to an avionic system;
determining the composition of an avionic system meeting the task requirements according to the first mapping matrix;
constructing a second mapping matrix from system functions to task requirements according to the composition of the avionics system;
and distributing corresponding system functions to the task requirements according to the second mapping matrix.
7. The apparatus of claim 5, wherein the modeling module is specifically configured to:
constructing a definition view of a distributed intelligent system composition and an external interface, wherein the definition view is used for reflecting the incidence relation between the avionics system and the personnel type;
constructing a relation view of a distributed intelligent system, wherein the relation view is used for reflecting the relation among all avionic subsystems and the interface and interface interaction relation among the avionic systems;
constructing a functional flow description view of the distributed intelligent system, wherein the functional flow description view is used for reflecting the top-level functional requirements of the avionic system, the composition and the hierarchical relation of standard functions of the avionic system, and data flow and functional flow between the avionic systems;
constructing a constraint view of the distributed intelligent system, wherein the constraint view is used for reflecting constraint conditions which influence system functions when the system is designed or executed;
constructing a time sequence description view of the distributed intelligent system, wherein the time sequence description view is used for reflecting task time sequences of all avionic systems under a specified task rule and event interaction among all avionic systems;
constructing a state transition view of the distributed intelligent system, wherein the state transition view is used for reflecting states executed by each avionic system and transition relations among the states, and event driving possibly received by each avionic system;
and constructing a measurement view of the distributed intelligent system, wherein the measurement view is used for reflecting the performance index and the dimension of the system.
8. The apparatus of claim 5, wherein the design module is specifically configured to:
designing a basic environment;
designing a model of the architecture based on the meta-model library;
verifying the model of the architecture;
developing and managing requirements;
and updating and calling the meta-model library.
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