CN117909190A - Distributed joint simulation standard test model construction and evaluation method - Google Patents
Distributed joint simulation standard test model construction and evaluation method Download PDFInfo
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- CN117909190A CN117909190A CN202311860559.7A CN202311860559A CN117909190A CN 117909190 A CN117909190 A CN 117909190A CN 202311860559 A CN202311860559 A CN 202311860559A CN 117909190 A CN117909190 A CN 117909190A
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Abstract
The application belongs to the field of distributed joint simulation, and relates to a method for constructing and evaluating a standard test model of distributed joint simulation, wherein in the process of system integrated simulation, models established by different software are distributed on different computing resources, and interactive connection is established through data communication; aiming at the distributed simulation model, constructing a star-shaped interactive communication test model; aiming at the interactive communication test model, establishing a test data sending/receiving rule; when the emphasis test is needed, only the number of the multi-port interaction variables of each model is increased, and the data transmission/reception rule is unchanged; whether all the interactive variable port data are transmitted correctly or not can be detected through the distributed test model, the correctness of the simulation result is detected, the rationality of interface, communication step length and simulation step length configuration is detected, and the calculation efficiency of the distributed joint simulation model is improved.
Description
Technical Field
The application belongs to the field of distributed joint simulation, and particularly relates to a distributed joint simulation standard test model construction and evaluation method.
Background
In the field of large-system integrated simulation application, models established by different software are distributed on different computing resources, and the large-system multi-source heterogeneous joint simulation integration is realized through data communication suggestion interactive connection, so that the method is a popular technical solution at present.
In recent years, corresponding joint simulation tools are gradually emerging, and how to evaluate the tools in a test and confirm the simulation precision performance is a troublesome problem. The distributed joint simulation standard test model construction and evaluation method can strictly reflect the performance result of the distributed joint simulation and solve the problem of difficult evaluation of simulation tools and simulation performance.
Disclosure of Invention
The application aims to provide a distributed joint simulation standard test model construction and evaluation method, which aims to solve the problem that the simulation precision performance is difficult to evaluate accurately and efficiently.
The technical scheme of the application is as follows: a distributed joint simulation standard test model construction and evaluation method comprises the following steps: the method comprises the steps of obtaining models used in an integrated simulation process of all systems, respectively arranging different models on different computing resources, and numbering each model;
The computing resources corresponding to any model acquire address information of computing resources corresponding to other models, register and set interfaces, and store different interface functions for different computing resources respectively; after any model sends out data, different interface functions are respectively called to the data of all other models, and then each model receives corresponding data through different interface functions.
Preferably, a model sending out data is used as a release model, before any model sends out data, the numbers of the release model and the target model are obtained, and then the amplitude/magnitude is set according to the order of the numbers of the target model and the release model.
Preferably, when the data sent by any model is a fixed value, the magnitude of the data is set according to the sequence of the numbers of the target model and the release model; if the frequency of the transmitted data changes, the magnitude is set according to the sequence of the number of the target model and the release model.
Preferably, when the emphasis test is performed, each model increases the number of multi-port interaction variables, and when any model receives or transmits data at one time, the multi-port interaction variable value is set behind the numbers of the target model and the release model; when any model receives or transmits data again, the multi-port interaction variable value is overlapped and arranged behind the numbers of the target model and the release model.
Preferably, after any model receives the data, judging whether all interface data arrive correctly, if so, judging that the detection simulation result is correct; and then interface detection, communication step length detection and simulation step length configuration detection are respectively carried out.
Preferably, the number of models is set to 5.
According to the distributed joint simulation standard test model construction and evaluation method, in the system integrated simulation process, models established by different software are distributed on different computing resources, and interactive connection is established through data communication; aiming at the distributed simulation model, constructing a star-shaped interactive communication test model; aiming at the interactive communication test model, establishing a test data sending/receiving rule; when the emphasis test is needed, only the number of the multi-port interaction variables of each model is increased, and the data transmission/reception rule is unchanged; whether all the interactive variable port data are transmitted correctly or not can be detected through the distributed test model, the correctness of the simulation result is detected, the rationality of interface, communication step length and simulation step length configuration is detected, and the calculation efficiency of the distributed joint simulation model is improved.
Drawings
In order to more clearly illustrate the technical solution provided by the present application, the following description will briefly refer to the accompanying drawings. It will be apparent that the figures described below are merely some embodiments of the application.
FIG. 1 is a schematic diagram of a model interaction relationship tested by the present application;
FIG. 2 is a schematic diagram of the coding rule of the sending/receiving data of the model of the present application;
Fig. 3 is a schematic diagram of the transmit/receive data coding rule of the emphasis model according to the present application.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
A distributed joint simulation standard test model construction and evaluation method is provided, wherein models used in all system integrated simulation processes are obtained, different models are respectively arranged on different computing resources, and each model is numbered.
The computing resources corresponding to any model acquire address information of computing resources corresponding to other models, register and set interfaces, and store different interface functions for different computing resources respectively; after any model sends out data, different interface functions are respectively called to the data of all other models, and then each model receives corresponding data through different interface functions.
Preferably, 5 mutually independent models are set, each model transmits data to the other 4 models and receives data transmitted by the other 4 models, namely, a star-shaped interactive communication test model is constructed, and the interaction relation of the test models is shown in fig. 1.
Therefore, when the test evaluation is carried out, each model can synchronously evaluate all other models, meanwhile, the simulation precision is evaluated, and the evaluation method only needs to adopt the existing method, so that the evaluation efficiency and accuracy are effectively improved, and meanwhile, the structure is stable and the configuration is simple.
Each model may be numbered 1-5.
Preferably, the amplitude/magnitude of the data transmitted by each model follows a specific coding rule, the model transmitting the data is used as a release model, the numbers of the release model and the target model are acquired before any model transmits the data, and then the amplitude/magnitude is set according to the order of the numbers of the target model and the release model.
In one specific example, as shown in FIG. 2, model "1" sends a data magnitude or amplitude of "12" to model "2", and model "3" sends a data magnitude or amplitude of "13", and so on. Conversely, model "1" receives a data magnitude or amplitude value of "21" from model "2", a data magnitude or amplitude value of "31" from model "3", and so on. I.e., the source and destination of the data is determined from the magnitude or amplitude of the data transmitted.
Preferably, the transmitted data can be set arbitrarily, and when the data transmitted by any model is a fixed value, the magnitude of the data is set according to the sequence of the number of the target model and the number of the release model; if the frequency of sending data changes, the magnitude is set according to the sequence of the number of the target model and the release model, so that the efficiency of data transmission is improved.
Preferably, when the emphasis test is performed, each model increases the number of multi-port interaction variables, and when any model receives or transmits data at one time, the multi-port interaction variable value is set behind the numbers of the target model and the release model; when any model receives or transmits data again, the multi-port interaction variable value is overlapped and arranged behind the numbers of the target model and the release model. The transmit data amplitude/magnitude coding rule is shown in fig. 3.
Preferably, after any model receives the data, judging whether all interface data arrive correctly, if so, judging that the detection simulation result is correct; and then, interface detection, communication step length detection and simulation step length configuration are respectively carried out for rationality detection, and the unreasonable configuration is adjusted to improve the calculation efficiency.
Finally, it should be noted that: in the drawings of the disclosed embodiments, only the structures related to the embodiments of the present disclosure are referred to, and other structures can refer to the common design, so that the same embodiment and different embodiments of the present disclosure can be combined with each other under the condition of no conflict;
Finally: the foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and principles of the invention are intended to be included within the scope of the invention.
Claims (6)
1. A distributed joint simulation standard test model construction and evaluation method is characterized by comprising the following steps: the method comprises the steps of obtaining models used in an integrated simulation process of all systems, respectively arranging different models on different computing resources, and numbering each model;
The computing resources corresponding to any model acquire address information of computing resources corresponding to other models, register and set interfaces, and store different interface functions for different computing resources respectively; after any model sends out data, different interface functions are respectively called to the data of all other models, and then each model receives corresponding data through different interface functions.
2. The distributed joint simulation standard test model construction and evaluation method as claimed in claim 1, wherein: and taking the model sending out the data as a release model, acquiring the numbers of the release model and the target model before any model sends out the data, and setting the amplitude/magnitude according to the sequence of the numbers of the target model and the release model.
3. The method for constructing and evaluating the distributed joint simulation standard test model according to claim 2, wherein when the data transmitted by any one model is a fixed value, the magnitude of the data is set according to the sequence of the number of the target model and the number of the release model; if the frequency of the transmitted data changes, the magnitude is set according to the sequence of the number of the target model and the release model.
4. The method for constructing and evaluating the distributed joint simulation standard test model according to claim 1, wherein each model increases the number of multi-port interaction variables when the weighting test is performed, and sets the multi-port interaction variable value behind the numbers of the target model and the release model when any model receives or transmits data at one time; when any model receives or transmits data again, the multi-port interaction variable value is overlapped and arranged behind the numbers of the target model and the release model.
5. The method for constructing and evaluating the distributed joint simulation standard test model according to claim 1, wherein after any model receives data, whether all interface data arrive correctly is judged, if so, the detection simulation result is judged to be correct; and then interface detection, communication step length detection and simulation step length configuration detection are respectively carried out.
6. The distributed joint simulation standard test model construction and evaluation method according to claim 1, wherein the number of models is set to 5.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202311860559.7A CN117909190A (en) | 2023-12-31 | 2023-12-31 | Distributed joint simulation standard test model construction and evaluation method |
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| CN202311860559.7A CN117909190A (en) | 2023-12-31 | 2023-12-31 | Distributed joint simulation standard test model construction and evaluation method |
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- 2023-12-31 CN CN202311860559.7A patent/CN117909190A/en active Pending
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