CN117574683A - Efficiency-oriented system structure optimization and simulation method and system - Google Patents
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Abstract
The invention relates to a performance-oriented system structure optimization and simulation method and system, belonging to the technical field of system structure optimization and simulation, wherein the method comprises the following steps: constructing a performance evaluation model; forming an architecture model describing a plurality of design schemes and mapping the architecture model into a system entity structure representing a simulation model scheme set; selecting a corresponding simulation model scheme from the simulation model scheme set, converting the simulation model scheme into a simulation model, and obtaining a simulation data set based on the simulation model; and obtaining an objective function according to the efficiency evaluation model, calculating the result of the efficiency measurement based on the simulation data set by adopting the objective function, and obtaining the simulation model and the corresponding design scheme when the optimization is terminated according to the result of the efficiency measurement. The method and the system solve the problem that in the prior art, when a simulation model is built according to human experience, the comprehensive evaluation data support is difficult to provide for a complex system such as a C4ISR system; architecture designs that meet performance requirements can be quickly selected.
Description
Technical Field
The invention relates to the technical field of system structure optimization and simulation, in particular to a performance-oriented system structure optimization and simulation method and system.
Background
Integrated electronic information systems (Command, control, computers, communications, intelligence, surveillance and Reconnaissanc, C4 ISR) are integrated military information systems composed of a plurality of information systems and operational nodes that can satisfy the joint operations of various military arms. The C4ISR system has the characteristics of huge structure, complex interaction relationship, high integration of software and hardware, dynamic and diversified use scenes of structure and activity flow, and the like, and the system structure verification and evaluation of the comprehensive electronic information system is to verify the logic and behavior of the system structure description according to various models or products formed in the system structure description process, and mainly adopts the following two methods in the prior art: the architecture verification and evaluation method based on simulation enables the architecture model to have the executable performance, namely the executable architecture method.
However, simulation-based architecture verification and evaluation methods require one or more conversions to convert the architecture model to an executable model, with additional effort if automatic conversions are not fully achieved; executable architecture methods require that models describing the architecture have executable properties, that many models take a more specialized form, such as using formal languages, etc., that place higher demands on the constructors of the architecture model, that require more additional knowledge, that pose challenges to traditional architecture modelers, and that the architecture modeling tools have more powerful functions to support the execution and analysis of the executable models; in addition, the simulation-based architecture verification and evaluation method constructs a simulation model according to human experience, and it is difficult to provide comprehensive evaluation data support for a complex system such as a C4ISR system.
Disclosure of Invention
The invention aims to provide a performance-oriented system structure optimization and simulation method and system to solve the defects in the prior art, and the technical problems to be solved by the invention are realized by the following technical scheme.
The invention provides a performance-oriented architecture optimization and simulation method, which comprises the following steps:
constructing a performance evaluation model consisting of a performance evaluation index system according to the system structure model;
identifying a plurality of designs for an architecture of the system from the architecture model, forming an architecture model describing the plurality of designs;
mapping an architecture model describing a plurality of design schemes into a system entity structure representing a simulation model scheme set;
obtaining related variables and a value range thereof, selecting variable values from the value range, selecting corresponding simulation model schemes from simulation model schemes set represented by the system entity structure according to the variable values, converting the simulation model schemes into simulation models, and obtaining a simulation data set by operating the simulation models by adopting a simulation engine;
according to the efficiency evaluation model, obtaining an objective function, adopting the objective function to calculate the result of the efficiency measurement based on the simulation data set, adopting an optimization method to judge whether the condition for terminating the optimization is met according to the result of the efficiency measurement, obtaining a simulation model when the optimization is terminated, and obtaining a design scheme corresponding to the simulation model.
In the above-described aspect, constructing a performance evaluation model consisting of a performance evaluation index system according to the architecture model includes:
selecting or adding a model for extracting the index in the system structure model, extracting a corresponding index from the model for extracting the index, and obtaining a preliminary efficacy evaluation index system according to the extracted index;
modifying a preliminary efficacy evaluation index system;
and selecting or adding a model for supplementing information in the system structure model, and supplementing the modified primary performance evaluation index system by adopting the model for supplementing information to obtain a performance evaluation model.
In the scheme, whether the obtained efficiency evaluation model meets the requirements of an evaluator is judged, and when the requirement of the evaluator is judged to be met, the efficiency evaluation model is judged to be constructed;
and when the requirements of the evaluator are not met, the primary performance evaluation index system is modified again, and the modified primary performance evaluation index system is supplemented again until the obtained performance evaluation model meets the requirements of the evaluator, and the performance evaluation model is judged to be built.
In the above-described scheme, selecting or adding a model for identifying a design scheme in an architecture model identifies a plurality of design schemes for an architecture of a system.
In the above scheme, when the system Entity Structure is adopted to represent the simulation model scheme set, in the system Entity Structure, for one composite Entity type node, when its parent node is the Structure-Aspect type node, the composite Entity type node represents a network Structure corresponding to the execution body state, and when its parent node is not the Structure-Aspect type node, the composite Entity type node represents a network model.
In the above scheme, when the system Entity structure is adopted to represent the simulation model scheme set, an atomic Entity type node may represent a basic model or a network model, and its ref attribute points to a simulation Entity in the simulation Entity library that simulates the behavior of the node.
In the above-described scheme, the related variables include parameter variables and structural variables.
In the above scheme, when the condition of terminating the optimization is not satisfied, the parameter variable value is selected again in the value range of the parameter variable, the structure variable value is selected in the value range of the structure variable, and the next round of optimization process is performed.
In the above scheme, the objective function is:
，
wherein MOE is the result of the performance metrics of the performance assessment index system in the performance assessment model,to evaluate the ith performance index in the performance index set of the performance evaluation index system in the evaluation model,/v>Representing normalization of each performance index in the performance index set of the performance index system in the evaluation model,/for the performance index set>For the average value of the simulation data in the simulation data set Y, +.>The calculation formula of (2) is as follows:
wherein Y is i And m is the number of times the simulation engine runs the simulation model for the ith simulation data in the simulation data set.
The invention provides a performance-oriented system structure optimization and simulation system, which adopts the performance-oriented system structure optimization and simulation method to perform system structure optimization and simulation, and comprises the following steps:
the efficiency evaluation model construction module is used for constructing an efficiency evaluation model consisting of an efficiency evaluation index system according to the system structure model;
a design recognition module for recognizing a plurality of designs for an architecture of the system from the architecture model to form an architecture model describing the plurality of designs;
a mapping module for mapping an architecture model describing a plurality of design schemes into a system entity structure representing a simulation model scheme set;
the simulation model scheme management module is used for obtaining related variables and the value range thereof, selecting variable value from the value range, selecting a corresponding simulation model scheme from the simulation model scheme set represented by the system entity structure according to the variable value, and converting the simulation model scheme into a simulation model;
the optimizing module is used for receiving a simulation data set obtained by running the simulation model through the simulation engine, acquiring an objective function according to the efficiency evaluation model, calculating the result of the efficiency measurement based on the simulation data set by adopting the objective function, judging whether the condition of terminating the optimization is met according to the result of the efficiency measurement by adopting an optimizing method, acquiring the simulation model when the optimization is terminated, and acquiring a design scheme corresponding to the simulation model.
The embodiment of the invention has the following advantages:
according to the performance-oriented architecture optimization and simulation method and system provided by the embodiment of the invention, the multiple design schemes aiming at the architecture of the system are identified from the architecture model, the architecture model describing the multiple design schemes is formed, the architecture model describing the multiple design schemes is mapped into the system entity structure representing the simulation model scheme set, the problem that the complex system such as the C4ISR system is difficult to provide comprehensive evaluation data support when the simulation model is built according to human experience in the prior art is solved, the performance evaluation model consisting of the performance evaluation index system is built according to the architecture model, the objective function is obtained according to the performance evaluation model, the result of the performance measurement is calculated based on the simulation data set by adopting the objective function, whether the condition of terminating optimization is met or not is judged according to the result of the performance measurement by adopting the optimization method, the simulation model when the optimization is terminated is obtained, and the design scheme corresponding to the simulation model is obtained is solved, and therefore, the architecture design scheme meeting the performance requirements is rapidly selected.
Drawings
FIG. 1 is a flow chart of a performance oriented architecture optimization and simulation method in accordance with one embodiment of the present invention;
FIG. 2 is a flow chart of constructing a performance assessment model in one embodiment of the invention;
FIG. 3 is a schematic view of the viewing angles included in the DoDAF2.0 of the present invention;
FIG. 4is a flow chart of an identification design in one embodiment of the invention;
FIG. 5 is a schematic diagram of the physical structure of a system in one embodiment of the invention;
FIG. 6 is a schematic diagram of a simulation model scheme corresponding to a system entity structure in one embodiment of the present invention;
FIG. 7 is a schematic diagram illustrating an embodiment of a performance-oriented architecture optimization and simulation system in accordance with one embodiment of the present invention.
Detailed Description
It should be noted that, in the case of no conflict, the embodiments and features in the embodiments may be combined with each other. The invention will be described in detail below with reference to the drawings in connection with embodiments.
As shown in fig. 1, the present invention provides a performance-oriented architecture optimization and simulation method, which includes the following steps:
step S1: and constructing a performance evaluation model consisting of a performance evaluation index system according to the system structure model.
As shown in fig. 2, step S1 includes:
step S101: judging whether a model for extracting the index needed by a user exists in the system structure model, selecting a corresponding model from the system structure model when judging that the model for extracting the index needed by the user exists, extracting a corresponding index, and obtaining a preliminary efficacy evaluation index system according to the extracted index;
step S102: when judging that the model for extracting the index needed by the user does not exist in the system structure model, adding the model for extracting the index needed by the user into the system structure model, extracting the corresponding index from the added model, and obtaining a preliminary efficiency evaluation index system according to the extracted index;
step S103: modifying the preliminary efficacy evaluation index system according to the principle of constructing the index system in the analytic hierarchy process;
step S104: judging whether a model for the supplementary information needed by a user exists in the system structure model, selecting a corresponding model from the system structure model when judging that the model for the supplementary information needed by the user exists, searching information which can supplement the modified primary performance evaluation index system from the selected model, and supplementing the modified primary performance evaluation index system to obtain a performance evaluation model;
step S105: when judging that the model for the supplementary information needed by the user does not exist in the system structure model, adding the model for the supplementary information needed by the user into the system structure model, searching information which can supplement the modified primary performance evaluation index system from the added model, and supplementing the modified primary performance evaluation index system to obtain a performance evaluation model;
step S106: judging whether the performance evaluation model obtained in the steps meets the requirements of an evaluator, and judging that the performance evaluation model is constructed when judging that the performance evaluation model meets the requirements of the evaluator;
step S115: and when the requirements of the evaluator are not met, the primary performance evaluation index system is modified again, and the modified primary performance evaluation index system is supplemented again until the obtained performance evaluation model meets the requirements of the evaluator, and the performance evaluation model is judged to be built.
Specifically, the architecture model adopted in the invention is a model in the DoDAF, and when a user builds the efficacy evaluation model consisting of the efficacy evaluation index system, the user does not need to build and use all 52 types of models in the DoDAF, and can select a proper type of model according to the requirements and the attention points of the user, and even can add a new model in the DoDAF according to the requirements.
In particular, the use of DoDAF2.0, doDAF2.0 on the basis of dodaf1.5 takes up the advantages of the various architectural frameworks of the prior art, thus enabling it to better describe various weapon equipment systems represented by the C4 ISR.
Specifically, as shown in fig. 3, dodaf2.0 provides 8 views including a standard view, a full view, a capability view, a combat view, a service view, a system view, a data and information view, and a project view, each view including a plurality of corresponding models, wherein the capability view includes the models shown in table 1:
table 1 model table contained in capability view
The view angle of the combat contains the model as shown in table 2:
table 2 model table contained in view angle of combat
The system view includes the model shown in table 3:
table 3 model table contained by system view angle
In the performance evaluation model construction process based on dodaf2.0 in one embodiment of the present invention, step S1 includes:
step S111: obtaining a top-level capacity index from a capacity phase division model contained in a capacity view angle, and extracting a lower-level index on which the top-level capacity index depends from a capacity dependency relation model contained in the capacity view angle to obtain a preliminary efficiency evaluation index system;
step S112: modifying the preliminary efficacy evaluation index system according to the principle of constructing the index system in the analytic hierarchy process;
step S113: searching information capable of supplementing the modified primary performance evaluation index system from a system measurement matrix model contained in a system view angle, and supplementing the modified primary performance evaluation index system to obtain a performance evaluation model, wherein the information capable of supplementing the modified primary performance evaluation index system comprises units, an upper limit value, a lower limit value and the like of performance indexes;
step S114: judging whether the performance evaluation model obtained in the steps meets the requirements of an evaluator, and judging that the performance evaluation model is constructed when judging that the performance evaluation model meets the requirements of the evaluator;
step S115: and when the requirements of the evaluator are not met, the primary performance evaluation index system is modified again, and the modified primary performance evaluation index system is supplemented again until the obtained performance evaluation model meets the requirements of the evaluator, and the performance evaluation model is judged to be built.
Specifically, since the capability staging model describes the capabilities that are planned to be achieved at different time points or in a specific time period, the top-level capability index can be obtained from the capability staging model, and since the capability dependency model describes the dependency relationships between the capabilities of the system and which performance indexes the bottom-level capability can be characterized, the lower-level index on which the top-level capability index depends can be extracted from the capability dependency model.
Specifically, since the system metric matrix model describes the range and units of values of the system performance index, the information can be used as a supplement to the preliminary performance evaluation index system.
Step S2: multiple designs for the architecture of the system are identified from the architecture model, forming an architecture model describing the multiple designs.
Specifically, in an embodiment of the present invention, since a model identification design scheme in a plurality of different DoDAF may be used for the architecture of the system, the resulting design scheme may be different when the models in the DoDAF are used are different, and at the same time, the resulting design scheme may be different when the instances in the model are used are different, for example, there may be a plurality of different refined instances of the architecture model describing the combat activity for the architecture of one combat activity, which will result in different design schemes.
Specifically, as shown in fig. 4, step S2 includes:
judging whether a model for identifying the design scheme needed by a user exists in the architecture model, and selecting a corresponding model from the architecture model to identify a plurality of design schemes aiming at the architecture of the system when judging that the model for identifying the design scheme needed by the user exists;
when it is judged that the model for identifying the design scheme required by the user does not exist in the architecture model, the model for identifying the design scheme required by the user is added to the architecture model, and a plurality of design schemes for the architecture of the system are identified from the added models.
Step S3: an architecture model describing a plurality of design schemes is mapped to a system entity structure representing a simulation model scheme set.
Specifically, in the embodiment of the invention, the system entity structure allows a user to select a specific simulation model scheme from the simulation model scheme set represented by the system entity structure, and can quickly convert the simulation model scheme into an ExDEVS simulation model, wherein the ExDEVS is a discrete event system specification extended on the basis of a discrete event system specification DEVS, inherits the advantage of the DEVS, and correspondingly extends to better support a complex system simulating the C4ISR at an architecture level.
Specifically, in an architectural model, factors that may lead to different designs include: there are multiple top-level activity models that achieve the same objective, e.g., there may be multiple different instances of the architectural model detailing the combat activity for one combat activity, one leaf combat activity may be described by multiple alternative combat state transition description model instances, one leaf combat activity may be supported by multiple system function description model instances, and one leaf system function may be described by multiple alternative system state transition description model instances.
Specifically, the ExDEVS modeling and simulation environment not only can realize separation of a simulation model and model parameters and separation of the simulation model and a simulator, but also has modularized and hierarchical structure, and elements contained in the simulator in the ExDEVS simulation model are in one-to-one correspondence with modules in the ExDEVS simulation model, so that not only is the representation of a simulation model scheme easy, but also the corresponding simulator is easy to quickly construct, simulation of the simulation model scheme is realized, and in addition, the ExDEVS modeling and simulation environment meets the requirements of a simulation-based structure and parameter optimization method on simulation tools.
Specifically, the system Entity Structure includes a composite Entity type node, an atomic Entity type node, an Aspect type node, a Specialization type node, and a Structure-Aspect type node, where the definition of the composite Entity type node is as follows:
Node::Composite Entity := (name,children,variables,constraints, rules,portSpec)
wherein name represents the name of the node; child represents a set of children of a node, and the types of children can be Aspect, specialization and Multi-Aspect, but also newly added Structure-Aspect; variables represent variable sets of nodes, and each variable has a corresponding value range except a variable name; constraints represent a set of selection constraints, each selection constraint (e.g., 'a=3') in the set consisting of a variable name and its value; rule represents a set of selection rules, each selection rule in the set being represented by an expression (e.g., 'a+b+c > 12'), the variables in the expression being selection constraint variables on the node of the lower Entity type of the node, portSpec representing the port description of the node;
the definition of the atomic Entity type node is as follows:
Node::Atomic Entity:= (name,variables,constraints,portSpec,ref)
the meanings of name, variables, constraints and portSpec are the same as the corresponding elements in the composite Entity type node definition; ref is a reference pointing to a simulation Entity in the ExDEVS simulation Entity library for simulating the node of the atomic Entity type, and it should be noted that the simulation Entity may be an ExDEVS basic model or an ExDEVS network model;
wherein, the definition of Aspect type node is as follows:
Node::Aspect := (name, children, couplings)
wherein, name and child respectively represent the name of the node and the set of child nodes, and the type of the child nodes is Entity; couplings is a collection, in which each element is called a connection (coupling), and can be represented by a binary group:
coupling := ( SourceEntity.Outport, DestinationEntity.Inport)
wherein, the source and destination are names of father or child nodes (both are of the Entity type) of the Aspect, and export and import represent the output and input port names of the corresponding nodes, respectively. An Aspect type node is used to represent how the system represented by its parent node is composed of the systems represented by child nodes; the definition of the Specialization type node is as follows:
Node::Specialization := (name,children)
wherein name and child represent the name of the node and the set of child nodes, respectively;
the definition of the Multi-Aspect type node is as follows:
Node::Multi-Aspect:= (name, child, couplings, number-range)
wherein name represents the name of the node; child represents a child node of type Entity; the meaning of the coupling is the same as the corresponding element in the Aspect type node; number-range represents the value range of the number of child nodes that a Multi-Aspect type node can possess;
wherein the Structure-Aspect type node is used to represent a network execution body model of the ExDEVS network model, which can only be a child node of the composite Entity type node, and is defined as follows:
Node::Structure-Aspect := (name, children, ref)
wherein name and child represent node names and child node sets, respectively, ref is a reference pointing to a basic model in the ExDEVS simulation entity library, wherein the basic model simulates the behavior of a network execution body model represented by the node, the Structure-Aspect type node does not contain connection information between nodes, and the Structure-Apect type node is represented by a vertical line with an arrow.
Specifically, as shown in fig. 5, in an embodiment of the present invention, when the system Entity Structure is used to represent the simulation model solution set, in the system Entity Structure, for a composite Entity type node, if its parent node is a Structure-Aspect type node, it represents a network Structure corresponding to the execution body state, otherwise, it represents a network model, and a Structure-Aspect type node represents a network execution body model of the network model corresponding to its parent node, where the ref attribute of the node points to a basic model in the simulation Entity library, and an atomic Entity type node may represent a basic model, or may represent a network model, and the ref attribute of the node points to a simulation Entity simulating the behavior of the node in the simulation Entity library.
As shown in fig. 6, the system entity structure shown in fig. 5 is clipped, so that 3 clipping entity structures can be obtained, each clipping entity structure corresponds to a simulation model scheme, and based on the definition of the system entity structure, a user is allowed to describe and store the system entity structure through XML.
Specifically, in one embodiment of the present invention, the architecture model is an architecture model describing a combat activity, and step S3 includes the steps of:
step S31: constructing a system entity structure only containing a root node RootSystem;
step S32: determining one or more top-level architecture models describing the combat activities according to the targets of efficiency evaluation, mapping each top-level architecture model describing the combat activities into a Structure-Aspect type node, using the Structure-Aspect type node as a child node of a root node RootSystemfor generating a network execution body model of an ExDEVS network model corresponding to the architecture model describing the combat activities by using a conversion technology, storing the network execution body model as a simulation entity in a simulation entity library, and pointing the ref attribute of the Structure-Aspect node corresponding to the architecture model describing the combat activities to the simulation entity;
specifically, in the process of generating the network execution body model, each execution body state of the network execution body model is mapped into a composite Entity type node (serving as a child node of the Structure-Aspect type node) and an Aspect type node, and the Aspect type node is set as a child node of the composite Entity type node; mapping components contained in the network structure corresponding to the execution body state into a composite Entity type node, taking the composite Entity type node as a child node of the Aspect type node, and storing the coupling information of each network structure in the attribute links of the corresponding Aspect type node;
step S33: hierarchically mapping an architecture model describing the combat activities to nodes in a system entity structure;
in the mapping process, if an attribute sub model of a combat activity points to a plurality of model examples, a plurality of schemes are possible for the combat activity, and each lower model example needs to be mapped into a Structure-Aspect type node;
specifically, if a certain leaf combat activity in the architecture model describing the combat activity has a combat state transition description model instance for describing the combat activity in detail, mapping the combat state transition description model instance into an ExDEVS simulation model, storing the ExDEVS simulation model as a simulation Entity in a simulation Entity library, and pointing to the simulation Entity through the ref attribute of the Entity type node corresponding to the leaf combat activity; if a leaf combat activity in an architecture model describing the combat activity has a plurality of combat state transition description models for describing the combat activity in detail, adding a Specialization type node as a child node of an Entity type node corresponding to the leaf combat activity, mapping each combat state transition description model instance into an atomic Entity type node and as a child node of the Specialization type node, and pointing to a simulation Entity converted by the combat state transition description model through a ref attribute;
specifically, a system function model for realizing leaf combat activities in an architecture model for describing combat activities is found through a model with model codes comprising SV-5, and the corresponding system function model is mapped to nodes in a system entity structure;
specifically, if a certain leaf system function in the architecture model describing the combat activity is described in detail by a system state transition description model instance, mapping the certain leaf system function in the architecture model describing the combat activity to a node in a system entity structure and an entity in a simulation entity library;
specifically, parameter information in the system metric matrix model is mapped onto nodes in the corresponding system entity structure.
Step S34: and finding out an atomic Entity type node which is not associated with the simulation Entity in the system Entity structure obtained through the steps, and adapting the atomic Entity type node with the simulation Entity in the simulation Entity library, wherein the simulation Entity is an ExDEVS simulation model.
In particular, if an atomic Entity type node in the system Entity structure can only be adapted to one simulation Entity, then the node is associated with the node by the ref attribute of the node; if the atomic Entity type node in the system Entity structure can be adapted to m simulation entities, wherein m is greater than 1, adding a Specialization type node as a child node of the atomic Entity type node, and adding m atomic Entity type nodes below the Specialization type node, wherein each node points to one simulation Entity through a ref attribute.
Specifically, after obtaining the system entity structure, the user may add a selection constraint and a selection condition on the system entity structure, for example, describing the cost of the node representing the system object by the selection constraint, where the cost of the system object is the cost of the architecture design scheme for evaluating the optimum or meeting the expected performance of the user, for example, the cost of the combat equipment to be selected, and describe what is the upper limit of the total cost of the system by the selection condition, so that in the optimization process, whether the selected simulation model scheme can meet some system constraints which are not explicitly described in the architecture model can be determined without performing simulation operation.
Step S4: the method comprises the steps of obtaining parameter variables, a value range of the structural variables and a value range of the structural variables from a simulation model scheme management module, selecting parameter variable values from the value range of the parameter variables, selecting structure variable values from the value range of the structural variables, selecting a corresponding simulation model scheme from a simulation model scheme set represented by a system entity structure according to the value, converting the simulation model scheme into an ExDEVS simulation model, obtaining a simulation data set by the ExDEVS simulation engine through running the ExDEVS simulation model, transmitting the simulation data set to an optimization module, obtaining an objective function according to a performance evaluation model, calculating a performance measurement result based on the simulation data set by the optimization module by adopting the objective function, selecting a new variable value to enter the next round of optimization process or terminate optimization by adopting an optimization method according to the performance measurement result, obtaining a simulation model when the optimization is terminated, and obtaining a design scheme corresponding to the simulation model.
Specifically, the parameter variables are different parameter values in the simulation model, the parameter variables are different simulation model schemes, the structural variables are different structural values of the simulation model, and the structural variables are different simulation model schemes.
Specifically, conditions for terminating the optimization may be set according to the needs of the user, and the conditions for terminating the optimization process include solutions to the obtained problem, exceeding the set maximum optimization round, exceeding the set maximum optimization time-consuming, and the like.
In one embodiment of the invention, when the condition of terminating the optimization is not satisfied, the parameter variable value is selected again in the value range of the parameter variable, the structure variable value is selected in the value range of the structure variable, and the next round of optimization process is performed.
Specifically, the optimization module consists of an optimization method and an objective function, and the automatic optimization process aiming at the simulation model scheme can be implemented under the control of the optimization module.
Specifically, the step of obtaining the objective function according to the efficacy evaluation model includes the steps of:
after the efficiency evaluation model is built, expert method and judgment moment in analytic hierarchy process are appliedDetermining absolute weight and normalization method of performance index of performance evaluation index system in performance evaluation model by using MoP i Weight represents the ith performance index MoP in the performance index set i Absolute weight of g i (x) Representing the ith performance index MoP in the performance index set i Is normalized by MoP i Value represents the ith performance index MoP in the performance index set i If the performance metrics of the performance evaluation index system in the performance evaluation model are:
wherein n is the total number of performance indexes in the performance index set;
by arranging the above calculation formulas, the result of the performance metric of the performance evaluation index system in the performance evaluation model can be further expressed as:
；
performance index MoP i The value of (2) is calculated by a simulation data set Y generated by simulation operation, and the performance index MoP is calculated by the simulation data set Y i Is taken as MoP i The value may correspond to one simulation data in the simulation data set Y, or may be obtained by calculating a plurality of simulation data in the simulation data set Y, so that the value of the performance index becomes a function of the sampling data set Y by MoP i .value=k i (Y) shows that, because of the random factors in the ExDEVS simulation model, the simulation data set Y generated by a single simulation run may have a certain randomness, in order to obtain a more accurate evaluation result,
the average value of the simulation data in the simulation data set Y obtained by the multiple simulation runs is used as the basis of calculation,
the calculation formula of the average value of the simulation data in the simulation data set Y is:
，
wherein Y is i For the ith simulation data in the simulation data set, m represents the number of times the ExDEVS simulation model is run repeatedly, and therefore, the result of the performance metric is further expressed as:
wherein->Representing normalization processing of each performance index in a performance index set of a performance evaluation index system in an evaluation model;
thereby obtaining an objective function
。
In particular, the objective of step S4 is to find an architecture design that maximizes the performance of the system described by the architecture from potentially numerous architecture designs.
As shown in fig. 7, the present invention provides a performance-oriented architecture optimization and simulation system, which performs architecture optimization and simulation by using the performance-oriented architecture optimization and simulation method as described above, the system includes:
the efficiency evaluation model construction module is used for constructing an efficiency evaluation model consisting of an efficiency evaluation index system according to the system structure model;
a design recognition module for recognizing a plurality of designs for an architecture of the system from the architecture model to form an architecture model describing the plurality of designs;
a mapping module for mapping an architecture model describing a plurality of design schemes into a system entity structure representing a simulation model scheme set;
the simulation model scheme management module is used for obtaining parameter variables, a value range of the structural variables and a value range of the structural variables, selecting the value of the parameter variables in the value range of the parameter variables, selecting the value of the structural variables in the value range of the structural variables, selecting the corresponding simulation model scheme from the simulation model scheme set represented by the system entity structure according to the value, and converting the simulation model scheme into the ExDEVS simulation model.
The optimization module is used for receiving a simulation data set obtained by operating the ExDEVS simulation model through the ExDEVS simulation engine, acquiring an objective function according to the performance evaluation model, calculating a performance measurement result based on the simulation data set by adopting the objective function, selecting a new variable value according to the performance measurement result by adopting an optimization method to enter the next round of optimization process or terminate optimization, acquiring a simulation model when the optimization is terminated, and acquiring a design scheme corresponding to the simulation model.
It should be noted that the foregoing detailed description is exemplary and is intended to provide further explanation of the invention. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments in accordance with the present application. As used herein, the singular is intended to include the plural unless the context clearly indicates otherwise. Furthermore, it will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, steps, operations, devices, components, and/or groups thereof.
It should be noted that the terms "first," "second," and the like in the description and claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or otherwise described herein.
Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those elements but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Spatially relative terms, such as "above … …," "above … …," "upper surface at … …," "above," and the like, may be used herein for ease of description to describe one device or feature's spatial location relative to another device or feature as illustrated in the figures. It will be understood that the spatially relative terms are intended to encompass different orientations in use or operation in addition to the orientation depicted in the figures. For example, if the device in the figures is turned over, elements described as "above" or "over" other devices or structures would then be oriented "below" or "beneath" the other devices or structures. Thus, the exemplary term "above … …" may include both orientations of "above … …" and "below … …". The device may also be positioned in other different ways, such as rotated 90 degrees or at other orientations, and the spatially relative descriptors used herein interpreted accordingly.
In the above detailed description, reference is made to the accompanying drawings, which form a part hereof. In the drawings, like numerals typically identify like components unless context indicates otherwise. The illustrated embodiments described in the detailed description, drawings, and claims are not meant to be limiting. Other embodiments may be utilized, and other changes may be made, without departing from the spirit or scope of the subject matter presented herein.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A performance-oriented architecture optimization and simulation method, the method comprising:
constructing a performance evaluation model consisting of a performance evaluation index system according to the system structure model;
identifying a plurality of designs for an architecture of the system from the architecture model, forming an architecture model describing the plurality of designs;
mapping an architecture model describing a plurality of design schemes into a system entity structure representing a simulation model scheme set;
obtaining related variables and a value range thereof, selecting variable values from the value range, selecting corresponding simulation model schemes from simulation model schemes set represented by the system entity structure according to the variable values, converting the simulation model schemes into simulation models, and obtaining a simulation data set by operating the simulation models by adopting a simulation engine;
according to the efficiency evaluation model, obtaining an objective function, adopting the objective function to calculate the result of the efficiency measurement based on the simulation data set, adopting an optimization method to judge whether the condition for terminating the optimization is met according to the result of the efficiency measurement, obtaining a simulation model when the optimization is terminated, and obtaining a design scheme corresponding to the simulation model.
2. The performance-oriented architecture optimization and simulation method of claim 1, wherein constructing a performance assessment model comprising a performance assessment index system based on the architecture model comprises:
selecting or adding a model for extracting the index in the system structure model, extracting a corresponding index from the model for extracting the index, and obtaining a preliminary efficacy evaluation index system according to the extracted index;
modifying a preliminary efficacy evaluation index system;
and selecting or adding a model for supplementing information in the system structure model, and supplementing the modified primary performance evaluation index system by adopting the model for supplementing information to obtain a performance evaluation model.
3. The performance-oriented architecture optimization and simulation method of claim 2, wherein determining whether the obtained performance evaluation model meets the requirements of the evaluator, and determining that the performance evaluation model is constructed when determining that the requirements of the evaluator are met;
and when the requirements of the evaluator are not met, the primary performance evaluation index system is modified again, and the modified primary performance evaluation index system is supplemented again until the obtained performance evaluation model meets the requirements of the evaluator, and the performance evaluation model is judged to be built.
4. The performance oriented architecture optimization and simulation method of claim 1 wherein selecting or adding a model for identifying designs in the architecture model identifies multiple designs for the architecture of the system.
5. The performance oriented architecture optimization and simulation method of claim 1 wherein the system Entity Structure includes Structure-Aspect type nodes and composite Entity type nodes, wherein when the system Entity Structure is employed to represent a simulation model solution set, for a composite Entity type node,
when the father node is a Structure-Aspect type node, the compound Entity type node represents a network Structure corresponding to the executing body state;
when its parent node is not a Structure-Aspect type node, the composite Entity type node represents a network model.
6. The performance oriented architecture optimization and simulation method of claim 5 wherein the system Entity structure further comprises an atomic Entity type node, wherein an atomic Entity type node can represent a basic model or a network model in the system Entity structure when the system Entity structure is used to represent the simulation model schema set, and the ref attribute of the atomic Entity type node points to a simulation Entity in the simulation Entity library for simulating the behavior of the node.
7. The performance oriented architecture optimization and simulation method of claim 1 wherein the related variables include parametric and structural variables.
8. The performance-oriented architecture optimization and simulation method according to claim 7, wherein when the condition for terminating the optimization is not satisfied, the parameter variable value is selected again in the value range of the parameter variable, the structure variable value is selected in the value range of the structure variable, and the next round of optimization process is performed.
9. The performance-oriented architecture optimization and simulation method of claim 1, wherein the objective function is:
，
wherein MOE is the result of the performance metrics of the performance assessment index system in the performance assessment model,to evaluate the ith performance index in the performance index set of the performance evaluation index system in the evaluation model,/v>Representing normalization of each performance index in the performance index set of the performance index system in the evaluation model,/for the performance index set>For the average value of the simulation data in the simulation data set Y, +.>The calculation formula of (2) is as follows:
wherein Y is i And m is the number of times the simulation engine runs the simulation model for the ith simulation data in the simulation data set.
10. A performance-oriented architecture optimization and simulation system employing the performance-oriented architecture optimization and simulation method of any of claims 1-9, the system comprising:
the efficiency evaluation model construction module is used for constructing an efficiency evaluation model consisting of an efficiency evaluation index system according to the system structure model;
a design recognition module for recognizing a plurality of designs for an architecture of the system from the architecture model to form an architecture model describing the plurality of designs;
a mapping module for mapping an architecture model describing a plurality of design schemes into a system entity structure representing a simulation model scheme set;
the simulation model scheme management module is used for obtaining related variables and the value range thereof, selecting variable value from the value range, selecting a corresponding simulation model scheme from the simulation model scheme set represented by the system entity structure according to the variable value, and converting the simulation model scheme into a simulation model;
the optimizing module is used for receiving a simulation data set obtained by running the simulation model through the simulation engine, acquiring an objective function according to the efficiency evaluation model, calculating the result of the efficiency measurement based on the simulation data set by adopting the objective function, judging whether the condition of terminating the optimization is met according to the result of the efficiency measurement by adopting an optimizing method, acquiring the simulation model when the optimization is terminated, and acquiring a design scheme corresponding to the simulation model.
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