CN112364538A - Multi-professional heterogeneous model unified packaging method based on data model - Google Patents
Multi-professional heterogeneous model unified packaging method based on data model Download PDFInfo
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Abstract
The invention designs a multi-professional heterogeneous model unified packaging method based on a data model, designs a driving module with a unified data interface, systematically and structurally manages data files extracted by a professional tool in a simulation manner, eliminates the difference between the heterogeneous model and other models, provides a high-efficiency and accurate data transmission unified interface for the link simulation of a complex system, and creates conditions for building a complex multi-professional combined simulation system; a standardized simulation data structure is established, and repeated work such as simulation and data extraction is reduced; the physical model can be repeatedly used, and the reusability of the physical model of the heterogeneous model is greatly improved; during link simulation, process data of a professional simulation tool is selected in each simulation beat, and not only final simulation result data is selected, so that the simulation accuracy is improved in the system simulation level.
Description
Technical Field
The invention relates to the field of modeling simulation of electronic information systems, in particular to a data model-based multi-professional heterogeneous model unified packaging method.
Background
The highly integrated complex system is a complex in multiple professional fields, and the simulation of the highly integrated system is physical characteristic modeling and comprehensive analysis in the multiple professional fields. In the design process of a complex system, generally, each professional designer establishes a physical model for each component in a professional simulation tool and performs corresponding simulation verification according to design indexes, wherein the models of the components are independent and have no correlation and no coupling. In order to further consider the mutual influence of different physical characteristics, the currently adopted method is to perform static exchange on final results obtained after each physical simulation tool individually runs simulation, so that the simulation of each physical model has the characteristics of correlation and mutual coupling to a certain extent.
However, because the modeling simulation tools in various professional fields have large differences, the data structures of simulation results are very different, and the result data needs to be subjected to a large amount of processing works such as screening, identification, statistics and the like in a mode of statically interacting the result data of the professional simulation tools, so that the cost of repeatedly processing the data is high; for a system with higher complexity, more component models are included, a specific exchange data structure needs to be designed when every two models exchange data, the data structure needs to be adjusted when each model changes an exchange object, and the reusability of the models is lower. The general system simulation model statically exchanges the final result data of the simulation of the professional tools, and ignores the process data which is correlated among the professional physical models, so that the simulation accuracy of the whole system is low.
Therefore, the heterogeneous model unified packaging method is expected to overcome the defects of the scheme aiming at models built by simulation tools in different professional fields, and is particularly important in multidisciplinary collaborative design and simulation of complex systems.
Disclosure of Invention
The invention aims to provide a multi-professional heterogeneous model unified packaging method based on a data model, and aims to solve the problems of high repeated work cost, low reusability, low accuracy and the like in heterogeneous model data exchange of multi-professional model joint simulation of a complex system.
The invention designs a multi-professional heterogeneous model unified packaging method based on a data model, which comprises the following steps:
(101) creating a physical model according to design indexes in a professional modeling simulation tool;
(102) parameterizing design variables of the physical model, establishing a parameter list, and forming an external parameter control interface;
(103) templating variable parameters of the physical model to enable the physical model to be reusable;
(104) starting simulation solving calculation, and recording process data and result data;
(105) extracting process data and result data according to requirements, and organizing and managing a plurality of data files according to data file management specifications;
(106) analyzing physical characteristics of the physical model, and designing input and output information variables and local parameters of the physical model;
(107) designing a physical model driving transfer function algorithm, and managing simulation data and calling of the physical model;
(108) compiling a transfer function code according to a designed transfer function algorithm, and associating input and output information variables of the physical model;
(109) compiling a transfer function code to form a dynamic link library driven by a physical model;
(110) building a test link and inputting a test signal;
(111) verifying the correctness of information input and output and the validity of simulation data;
(112) if an error or deviation from the expected occurs, adjusting the transfer function algorithm or the transfer function code, and returning to (107);
(113) setting description of a physical model and compiling description information of the physical model to generate a description file;
(114) setting the appearance of the physical model, and generating an appearance file;
(115) associating a physical model description file, an appearance file, a dynamic link library and a transfer function code file;
(116) and configuring a model library path, compressing the description file, the appearance file, the drive dynamic link library and the transfer function code file together with the model simulation extraction data file of the structured organization into a file package, and issuing the file package to the model library for centralized management.
Further, the variable parameters templated by the physical model in step (103) include boundary parameters, excitation parameters, and finite element mesh parameters.
Further, the description of the physical model set in step (113) includes a model name, a creator, a license, and a version.
Further, the description information of the physical model written in step (113) includes various parameters, variables and function description information.
Further, setting the appearance of the physical model in step (114) includes setting a physical model icon and geometric position information of the input/output port of the physical model.
Further, the multi-professional heterogeneous model packaged by the packaging method comprises a model driver, a model file management layer and a simulation data management layer.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:
the invention designs a multi-professional heterogeneous model unified packaging method based on a data model, designs a driving module with a unified data interface, systematically and structurally manages data files extracted by a professional tool in a simulation manner, eliminates the difference between the heterogeneous model and other models, provides a high-efficiency and accurate data transmission unified interface for the link simulation of a complex system, and creates conditions for building a complex multi-professional combined simulation system; a standardized simulation data structure is established, and repeated work such as simulation and data extraction is reduced; the physical model can be repeatedly used, and the reusability of the physical model of the heterogeneous model is greatly improved; during link simulation, process data of a professional simulation tool is selected in each simulation beat, and not only final simulation result data is selected, so that the simulation accuracy is improved in the system simulation level.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention, and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a flow chart of a data model-based multi-professional heterogeneous model unified packaging method of the present invention.
Fig. 2 is a schematic structural diagram of a multi-professional heterogeneous model encapsulated by the encapsulation method of the present invention.
Fig. 3 is a schematic structural diagram of a phased array antenna model according to an embodiment of the present invention.
Fig. 4 is a parameter list diagram according to an embodiment of the present invention.
FIG. 5 is a schematic diagram of parameter templating according to an embodiment of the present invention.
Fig. 6 is a phased array antenna pattern of an embodiment of the present invention.
Fig. 7 is a schematic diagram of time domain signal transmission of a phased array antenna model according to an embodiment of the present invention.
Fig. 8 is a block flow diagram of the execution of the transfer function algorithm according to an embodiment of the present invention.
Fig. 9 is a schematic structural diagram of a test link according to an embodiment of the present invention.
FIG. 10 is a schematic diagram of an interface for setting the description and appearance of a physical model according to an embodiment of the invention.
Fig. 11 is a schematic interface diagram of writing description information of a physical model according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. 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.
As shown in fig. 1, the method for uniformly encapsulating a multi-professional heterogeneous model based on a data model of the present invention includes the following steps:
(101) creating a physical model according to design indexes in a professional modeling simulation tool; wherein, the professional modeling simulation tool is such as EAD simulation software;
(102) parameterizing design variables of the physical model, establishing a parameter list, and forming an external parameter control interface;
(103) templating variable parameters of the physical model to enable the physical model to be reusable; wherein, the variable parameters of the physical model templating comprise boundary parameters, excitation parameters and finite element grid parameters;
(104) starting simulation solving calculation, and recording process data and result data;
(105) extracting process data and result data according to requirements, and organizing and managing a plurality of data files according to data file management specifications;
(106) analyzing physical characteristics of the physical model, and designing input and output information variables and local parameters of the physical model;
(107) designing a physical model driving transfer function algorithm, and managing simulation data and calling of the physical model;
(108) compiling a transfer function code according to a designed transfer function algorithm, and associating input and output information variables of the physical model;
(109) compiling a transfer function code to form a dynamic link library driven by a physical model;
(110) building a test link and inputting a test signal;
(111) verifying the correctness of information input and output and the validity of simulation data;
(112) if an error or deviation from the expected occurs, adjusting the transfer function algorithm or the transfer function code, and returning to (107);
(113) setting description of a physical model and compiling description information of the physical model to generate a description file; wherein the description of the set physical model comprises a model name, a creator, a permission and a version; the written description information of the physical model comprises various parameters, variables and function description information;
(114) setting the appearance of the physical model, and generating an appearance file; setting the appearance of the physical model, wherein the setting of the appearance of the physical model comprises setting a physical model icon and geometric position information of an input/output port of the physical model;
(115) associating a physical model description file, an appearance file, a dynamic link library and a transfer function code file;
(116) and configuring a model library path, compressing the description file, the appearance file, the drive dynamic link library and the transfer function code file together with the model simulation extraction data file of the structured organization into a file package, and issuing the file package to the model library for centralized management.
As shown in fig. 2, the uniformly packaged multi-professional heterogeneous model based on the data model includes three parts, namely a model driver, a model file management layer and a simulation data management layer. The model driving part realizes specific solving calculation of the input information and the model simulation data and outputs specific informationCan be abstracted as Sout＝F(SinAnd, a, B …). The model file management layer mainly comprises a description file, a model code file, a dynamic link library file, a port configuration file, an appearance file and the like of a physical model, and the files are configured, managed or generated through a model packaging tool. The simulation data management layer comprises simulation process data and result data, and the data are obtained by establishing an accurate model through an EDA simulation tool to perform simulation extraction.
Examples
In this embodiment, a process of the unified packaging method for a multi-professional heterogeneous model based on a data model is described by taking a typical package of a phased array antenna model based on a 1 × 8 array element of finite element analysis as an example, as shown in fig. 1, the unified packaging method for a multi-professional heterogeneous model based on a data model of this embodiment includes the following steps:
(101) creating a physical model in a professional modeling simulation tool;
in the EAD simulation software, a physical model of a phased array antenna model is designed according to the design indexes of the phased array antenna, and the phased array antenna array is formed by array arrangement, as shown in FIG. 3.
(102) Parameterizing design variables of the physical model, establishing a parameter list, and forming an external parameter control interface;
for the physical model of the phased array antenna model, the design variables were parameterized and the parameter list established is shown in fig. 4.
(103) Templating variable parameters of the physical model to enable the physical model to be reusable;
and (3) templating variable parameters such as boundary parameters, excitation parameters, finite element grid parameters and the like, as shown in figure 5, so that the physical model of the phased array antenna model can be reused.
(104) Starting simulation solving calculation, and recording process data and result data;
when the simulation solving calculation is started, the EAD simulation software enters an automatic solving calculation process, and the background automatically records the data of the intermediate process and the result data of the solving calculation.
(105) Extracting process data and result data according to requirements, and organizing and managing a plurality of data files according to data file management specifications;
the directional patterns of the frequency points of each azimuth are extracted from the physical model of the phased array antenna model, as shown in fig. 6, and the extracted data is written into a file.
(106) Analyzing physical characteristics of the physical model, and designing input and output information variables and local parameters of the physical model;
transmission of time domain signals in phased array antenna model the time domain input signal is schematically shown in FIG. 7
Is a function of azimuth angle, pitch angle and time, and the azimuth module in the link transmits the appointed direction
Calculation of a frequency value F from an input signal by Fourier transformation0。
(107) Designing a physical model driving transfer function algorithm, and managing simulation data and calling of the physical model;
obtaining simulation result data obtained by simulation of a professional modeling simulation tool, obtaining gain directional diagram data in a corresponding direction, and inputting a signal SinMultiplying by a gain to obtain a resultant signal, i.e. SC＝Sin×GPA. The simulation result data built in the phased array antenna model is dispersed into each square point in space according to the space domain, namely
The frequency scanning range is also dispersed into a frequency point sequence according to a certain precision, namely (F)0，F1......Fk) If the set of azimuth frequencies corresponds to one directional diagram, the total number of directional diagrams is: m × n × k. The phased array antenna gain function may be expressed as theta,
f-related expression, namely:
gain of each equivalent element antenna:
Gi(dB)＝10lgN-GPA(dB)
where N is the total number of phased array antenna elements.
Input from beam steering formulas
And calculating phase difference delta phase of each frequency point of each path to obtain (S)1，S2，....Sn) The n groups of frequency domain output signals are subjected to inverse Fourier transform to obtain n groups of time domain output signals.
(108) Compiling a transfer function code according to a designed transfer function algorithm, and associating input and output information variables of the physical model;
the flow chart of the transfer function algorithm execution is shown in fig. 8, and includes:
p01, searching a direction graph file according to the target direction frequency value;
p02, reading the direction graph file and establishing a data linked list;
p03, traversing the data link table, and searching corresponding gain values according to the direction angle, the pitch angle and the frequency;
p04, judging whether the gain value is found by P03, if the gain value is not found, executing P05, otherwise executing P06;
p05, traversing the data link table, and searching four adjacent gain values;
p06, averaging the four searched gain values;
p07, the searched gain value of P03 or the average value of four gain values obtained by P06 is substituted;
p08, product the input information with the gain value introduced by P07;
p09, performing power division and shift-to-delay processing on the product result;
p10, the output information is the processing result of P09.
(109) Compiling a transfer function code to form a dynamic link library driven by a physical model;
the compiler cl.exe compiles the source code and the linker link.exe to form a physical model driven target file, namely a physical model driven dynamic link library, by calling the compiler cl.exe in a batch processing mode by using visual studio.
(110) Building a test link and inputting a test signal; the built test link is shown in fig. 9.
(111) Verifying the correctness of information input and output and the validity of simulation data;
(112) if an error or deviation from the expected occurs, adjusting the transfer function algorithm or the transfer function code, and returning to (107);
(113) setting description of a physical model and compiling description information of the physical model to generate a description file;
as shown in fig. 10, the description of the set physical model includes the model name, creator, license, and version;
as shown in fig. 11, the written description information of the physical model includes various types of parameters, variables, and function description information.
(114) Setting the appearance of the physical model, and generating an appearance file;
as shown in fig. 10, setting the appearance of the physical model includes setting a physical model icon, and geometric position information of the physical model input/output port.
(115) Associating a physical model description file, an appearance file, a dynamic link library and a transfer function code file;
(116) and configuring a model library path, compressing the description file, the appearance file, the drive dynamic link library and the transfer function code file together with the model simulation extraction data file of the structured organization into a file package, and issuing the file package to the model library for centralized management.
The packaging process mainly compresses the single packaged model to form a single compressed file. The unified simulation platform uses the files contained in the model package as follows:
(1) a professional model file;
(2) a model agent dll;
(3) description of a model description file;
(4) a data file package;
(5) multimedia files (pictures, animations, video, audio, etc.);
(6) others rely on files.
According to the content, the method for uniformly packaging the multi-professional heterogeneous model based on the data model is designed, the driving module with the uniform data interface is designed, the data file extracted by the professional tool is systematically and structurally managed, the difference between the phased array antenna heterogeneous model and other models is eliminated, the efficient and accurate data transmission uniform interface is provided for the link simulation of a complex system, and conditions are created for building the complex multi-professional combined simulation system; establishing a standardized antenna array simulation data structure, and reducing the repetitive work of simulation, data extraction and the like of an antenna array; the physical model can be repeatedly used, and the reusability of the physical model of the phased array antenna heterogeneous model is greatly improved; during link simulation, process data of a professional simulation tool is selected in each simulation beat, and not only final simulation result data is selected, so that the simulation accuracy is improved in the system simulation level.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (6)
1. A multi-professional heterogeneous model unified packaging method based on a data model is characterized by comprising the following steps:
(101) creating a physical model according to design indexes in a professional modeling simulation tool;
(102) parameterizing design variables of the physical model, establishing a parameter list, and forming an external parameter control interface;
(103) templating variable parameters of the physical model to enable the physical model to be reusable;
(104) starting simulation solving calculation, and recording process data and result data;
(105) extracting process data and result data according to requirements, and organizing and managing a plurality of data files according to data file management specifications;
(106) analyzing physical characteristics of the physical model, and designing input and output information variables and local parameters of the physical model;
(107) designing a physical model driving transfer function algorithm, and managing simulation data and calling of the physical model;
(108) compiling a transfer function code according to a designed transfer function algorithm, and associating input and output information variables of the physical model;
(109) compiling a transfer function code to form a dynamic link library driven by a physical model;
(110) building a test link and inputting a test signal;
(111) verifying the correctness of information input and output and the validity of simulation data;
(112) if an error or deviation from the expected occurs, adjusting the transfer function algorithm or the transfer function code, and returning to (107);
(113) setting description of a physical model and compiling description information of the physical model to generate a description file;
(114) setting the appearance of the physical model, and generating an appearance file;
(115) associating a physical model description file, an appearance file, a dynamic link library and a transfer function code file;
(116) and configuring a model library path, compressing the description file, the appearance file, the drive dynamic link library and the transfer function code file together with the model simulation extraction data file of the structured organization into a file package, and issuing the file package to the model library for centralized management.
2. The unified packaging method for multi-professional heterogeneous model based on data model as claimed in claim 1, wherein the variable parameters templated by the physical model in step (103) comprise boundary parameters, excitation parameters and finite element mesh parameters.
3. The data model-based multi-professional heterogeneous model uniform packaging method according to claim 1, wherein the description of the physical model set in the step (113) comprises a model name, a creator, a license and a version.
4. The method for uniformly encapsulating the multi-professional heterogeneous model based on the data model as claimed in claim 1, wherein the description information of the physical model written in the step (113) comprises various types of parameters, variables and function description information.
5. The method for uniformly encapsulating the multi-professional heterogeneous model based on the data model as claimed in claim 1, wherein the step (114) of setting the appearance of the physical model comprises setting a physical model icon and geometric position information of an input port and an output port of the physical model.
6. The method for uniformly packaging the multi-professional heterogeneous models based on the data model as claimed in claim 1, wherein the multi-professional heterogeneous models packaged by the packaging method comprise a model driver, a model file management layer and a simulation data management layer.
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