CN115422702A - Information chain analysis method, device, equipment and storage medium based on system architecture model - Google Patents

Abstract

The invention is suitable for the technical field of system simulation, and provides an information chain analysis method, a device, equipment and a storage medium based on a system architecture model, wherein the method comprises the following steps: respectively constructing a combat simulation model and a system architecture model based on a combat scene, wherein the system architecture model is used for providing interaction rules of all subunits in the combat simulation model; acquiring interactive data generated by interaction of each subunit of the combat simulation model in the joint simulation process of the combat simulation model and the system architecture model; and screening and recombining the interactive data to generate system communication performance evaluation parameters. According to the method and the system, the specific and visual quantitative data of the communication conditions among the subsystems in the battlefield system based on the battlefield situation is obtained through modeling and simulation, so that more accurate and scientific data support is provided for the communication index requirements of developing a new generation of communication system.

Description

An information chain analysis method, device, equipment and storage based on an architecture model medium

technical field

The invention belongs to the technical field of system simulation, and in particular relates to an information chain analysis method, device, equipment and storage medium based on an architecture model.

Background technique

With the rapid development of military technology, various new combat modes, new weapons and equipment and their command systems are constantly joining the battlefield to form a future-oriented combat system under the informationized combat situation. In this case, the communication between the various branch subsystems in the combat system is becoming more and more complex, so an efficient and scientific information interaction system can often determine the direction of the battle to a large extent.

In the actual battlefield environment, the combat system often includes a large number of branch subsystems that work simultaneously, including but not limited to sea, land and air combat systems, command systems, electronic countermeasure systems, and intelligence systems. Complex information interaction is required between these subsystems, and the information chain is a unified communication channel between these subsystems. These branch systems will generate an extremely large amount of data in the process of using information links for data transmission. Therefore, it is very necessary to analyze the information chain transmission and obtain parameters such as information interaction efficiency, communication time, and frequency.

However, the currently used data link manual analysis method often relies on the collective experience of the expert team, which is not only poor in objectivity, but also the communication data between subsystems in the combat system is not intuitive and transparent, and it is difficult to quantify the specific parameters of information interaction. In the face of increasingly complex battlefield backgrounds and combat modes in the future, it has been difficult for manual methods to extract the required data from the huge amount of data and provide accurate data support for the communication needs of the system to be developed.

Contents of the invention

The purpose of the embodiments of the present invention is to provide an information chain analysis method based on the architecture model, aiming at solving the problem that the currently used data link manual analysis method often relies on the collective experience of the expert team, which not only has poor objectivity, but also has a The communication data between subsystems is not intuitive and transparent, and it is difficult to quantify the specific parameters during information interaction; in the face of increasingly complex battlefield backgrounds and combat modes in the future, it is difficult to analyze the required information from the huge amount of data by manual methods. The problem of providing accurate data support for the communication needs of the system to be developed.

The embodiment of the present invention is achieved in this way, an information chain analysis method based on an architecture model, the method comprising:

Based on the combat scenario, a combat simulation model and an architecture model are respectively constructed, and the architecture model is used to provide interaction rules for each subunit in the combat simulation model;

Acquiring the interaction data generated by the interaction of each subunit of the combat simulation model during the joint simulation process of the combat simulation model and the system architecture model;

Screening and recombining the interaction data to generate system communication performance evaluation parameters.

Another object of the embodiments of the present invention is to provide an information chain analysis device based on an architecture model, the device comprising:

A model building module, the model building module is used to respectively build a combat simulation model and an architecture model based on a combat scenario, and the architecture model is used to provide interaction rules for each subunit in the combat simulation model;

An interactive data acquisition module, the interactive data acquisition module is used to acquire the interactive data generated by the interaction of each subunit of the combat simulation model during the joint simulation process of the combat simulation model and the system architecture model;

as well as

A system communication performance evaluation parameter production module, the system communication performance evaluation parameter production module is used to screen and recombine the interaction data to generate system communication performance evaluation parameters.

Another object of the embodiments of the present invention is to provide a computer device, including a memory and a processor, where a computer program is stored in the memory, and when the computer program is executed by the processor, the processor executes the rights Any one of claims 1 to 7 claims the steps of the information chain analysis method based on the architecture model.

Another object of the embodiments of the present invention is to provide a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the processor executes the claims. The steps of the information chain analysis method based on the architecture model in any one of claims 1 to 7.

Description of drawings

Fig. 1 is a flow chart of an information chain analysis method based on an architecture model provided by an embodiment of the present invention;

Fig. 2 is a schematic diagram of a combat simulation model provided by an embodiment of the present invention;

FIG. 3 is a schematic diagram of subunit information interaction in a combat simulation model provided by an embodiment of the present invention;

Fig. 4 is a schematic diagram of the co-simulation operation driven by the combat simulation model sending an emergency according to the battlefield spatio-temporal information provided by the embodiment of the present invention;

FIG. 5 is a bar chart of communication performance evaluation parameters provided by an embodiment of the present invention;

Fig. 6 is a block diagram of the internal structure of a computer device in one embodiment.

Detailed ways

In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

It can be understood that the terms "first", "second" and the like used in the present application may be used to describe various elements herein, but unless otherwise specified, these elements are not limited by these terms. These terms are only used to distinguish one element from another element. For example, a first xx script could be termed a second xx script, and, similarly, a second xx script could be termed a first xx script, without departing from the scope of the present application.

Figure 1 shows a flow chart of an information chain analysis method based on an architecture model provided by an embodiment of the present application, which is described in detail as follows:

In step S100, based on the combat scenario, a combat simulation model and an architecture model are respectively constructed, and the architecture model is used to provide interaction rules for each subunit in the combat simulation model.

In this embodiment of the present application, the combat simulation model constructed based on the combat scenario may refer to a model that includes virtual scenarios and virtual objects and can be run or displayed on the terminal, as shown in FIG. 2 . The virtual scene can be composed of one or more of topographical elements, meteorological elements, hydrological elements, electromagnetic elements, and time elements. Users can change the information of the above elements by changing the preset values. A virtual scene can be an absolutely real simulation scene, a semi-simulation or semi-fictional scene, or a purely fictitious scene, which can be run or displayed in two-dimensional or three-dimensional ways. The virtual scene contains several virtual objects. Virtual objects can be single or combined abstract shapes such as triangles and squares, and can also exist in the form of icons, pictures, etc., displayed in the virtual scene. Virtual objects can refer to one or more units in the real battlefield, which can be fighter jets, early warning aircraft, destroyers, etc. The subunit package has attribute information such as coordinate position, speed, altitude, etc. Users can edit or control the operable virtual object through the operation device or operation interface, so that the virtual object can interact with the virtual scene or other virtual objects in real time or preset time to interact. Several virtual objects can also be grouped to form subunits, for example, set all destroyers in a certain area as a subunit, and set all frigates in another area as another subunit. The user can also control the subunits directly or through preset programs. The subunits can interact in the virtual scene, such as simulating the pursuit or attacking each other.

In the embodiment of this application, the architecture model can be composed of multiple viewpoints (or views), which can describe the operation or interaction rules of the entire system, and are formed based on the connection and interaction between the various components. The system architecture model based on the combat scenario can provide the interaction rules between the sub-units in the combat simulation model under the simulated battlefield environment.

In the embodiment of the present application, a simulation model and an architecture model are constructed using software, and the above models can be run on terminals such as computers, single-chip microcomputers, mobile portable devices, or Internet cloud platforms. The war simulation adopted in this program does not have to be limited to the limitations of weather, site space, and cost, and optimizes the efficiency and mode of military learning and research, taking into account absolute economy, safety, and controllability.

In step S200, the interaction data generated by the interaction of each subunit of the combat simulation model during the joint simulation process of the combat simulation model and the system architecture model is acquired.

In the embodiment of this application, the combat simulation model and the system architecture model are jointly simulated. During the simulation process, each subunit in the combat simulation model can exchange information with other subunits based on their respective combat tasks under the guidance of a unified interaction rule. Interactive, combat tasks can be preset by the user or added in real time. As shown in FIG. 3 , the connection line in the virtual scene indicates that the virtual objects at the two endpoints of the connection line can exchange information. The two parties of information interaction can attack each other or cooperate with each other, and there is no need to limit the camp attributes of virtual objects, that is, there is no limitation on the specific content of information interaction. During this information interaction process, various types of interaction data will be generated. The system can acquire and store these data and use them for subsequent operations.

In step S300, the interaction data is screened and reorganized to generate system communication performance evaluation parameters.

In the embodiment of this application, the interaction data contains a large amount of specific interaction content, such as audio, image, video, and a large amount of information such as the baseband and frequency of the information interaction party. Relevant communication data, and then reorganize these data, and obtain the system communication performance evaluation parameters through statistical quantification.

In the embodiment described in steps S100-S300, a simulation model and its interaction rules are constructed based on real combat scenarios, the model is jointly simulated, and communication data between units during the simulation process is obtained to generate communication performance index parameters. This solution changes the traditional process of manually judging communication performance indicators to digital modeling and simulation using software, which significantly improves the authenticity and objectivity of data. Intuitive quantitative data can not only help war commanders to make more scientific and reasonable decisions, but also help communication data link designers to discover the defects of existing data links in the communication process, thus providing a basis for the development of communication indicators for a new generation of communication systems. More accurate and scientific data support.

In one embodiment of the present application, the interaction rules include combat rules and communication rules, the combat rules are used to specify the combat trigger conditions and combat content of each subunit, and the communication rules are used to provide subunits with A specification for data interaction with other subunits.

In the above embodiments, the combat rules can provide a basis for the interaction method between the subunits, and the communication rules can enable the subunits to implement unified communication rules during information interaction, avoiding information confusion, congestion or misjudgment due to inconsistent standards And so on. Through the above interaction rules, the subunits in the combat system can execute the preset combat content after receiving the trigger conditions, realizing the automatic or semi-automatic interaction of each subunit in the overall battlefield, which significantly improves the complexity of the battlefield and the simulation efficiency. For example, the ballistic missile subunit is located at the X coordinate; the trigger condition is: receiving the information sent by the radar subunit that the key building is destroyed; the combat content is: launch the missile to the preset coordinates, and send the executed automatic counterattack to the command subunit information.

In an embodiment of the present application, the joint simulation is driven by the combat simulation model sending an emergency according to the space-time information of the battlefield to drive the joint simulation.

In the embodiment of the present application, as shown in FIG. 4 , the image includes a combat simulation model simulation thumbnail and a preset emergency event information trigger sequence diagram. The battlefield simulation model includes topography, climate, and time elements, which are used to describe the topography, climate, and time-lapse of the virtual scene. Emergencies can include combat events, climate events, geographic events, etc. Combat events can trigger sub-units to interact with other sub-units, for example, several sub-units attack each other; environmental events can change the attributes of sub-units, for example, change the The moving speed of sub-units in the virtual scene; geographical events can change the geographical elements in the Sydney scene, for example, the opening and closing of a certain road in the virtual scene. With the passage of time in the virtual scene, the system can send several emergent events from the specified geographic coordinates to several subunits in the simulation model according to preset conditions to promote the joint simulation. The time when each subunit receives the emergency event may be The same may also be related to the geographic coordinates in the virtual scene in which it is located. The subunit located at a greater distance from the place where the emergency occurred may receive the emergency later. Emergencies can change the complexity and running speed of the co-simulation, making the co-simulation closer to the real war scene, improving the accuracy of the model and the reliability of the simulation data.

In an embodiment of the present application, the interaction data includes: one or more of information generation time, information arrival time, information content, information generator, information relay party, and information receiver.

In this embodiment, each subunit in the virtual scene interacts with each other in the combat event-driven combat scene to generate a large amount of data. These interaction data can be categorized and described as: information generation time, information arrival time, information content, information generator, information relay party, and information receiver, etc., to facilitate subsequent steps to process these interaction data.

In one embodiment of the present application, the step of screening and reorganizing the interaction data to generate system communication performance evaluation parameters specifically includes: constructing an evaluation framework based on an architecture model; screening and reorganizing the interaction data into the evaluation framework , to generate system communication performance evaluation parameters.

In the embodiment of this application, it is necessary to construct an evaluation framework based on the architecture model. The evaluation framework includes a variety of perspectives, including but not limited to: structural perspective, which is used to assess the communication status relationship between the type of each sub-unit and the organizational structure; resources The perspective is used to describe the communication status information generated by the flow of resources among the sub-units; the system function perspective is used to describe the functions of each sub-unit and the communication information of the function realization; the interaction times perspective is used to count the subsystems The above perspectives have different attributes and functions, and can obtain different types of evaluation data. Prioritize the communication data related to the above perspectives in the interactive data, and then reorganize and count them into the framework, which can avoid the huge amount of calculation required for the unified processing and statistics of huge data, thereby improving processing efficiency . After reorganizing the data, various types of communication parameter evaluation indicators can be obtained. As shown in Figure 5, from the perspective of the number of interactions, it describes the number of communications between the three subsystems involved in the combat mission for the three emergencies in the combat scenario. The communication data related to the attributes of the above-mentioned perspectives can be collected through the above-mentioned perspectives, so that the system communication performance evaluation parameters can be obtained more scientifically and accurately, and a strong basis can be provided for the system to be researched.

In one embodiment of the present application, the architecture model modeling development is based on the U.S. Department of Defense architecture framework DoDAF2.0 and architecture description language UPDM2.0. The architecture model adopts SV-1 viewpoint, SV-2 viewpoint, SV-4 viewpoint, SV-10c viewpoint and SV-10b viewpoint.

In the embodiment of this application, the architecture model is developed using the existing architecture model and its description language, and the DoDAF2.0 model and UPDM2.0 description language can have a high degree of matching adaptability with the model suitable for the field of military simulation , which can significantly improve development efficiency and model quality. This model belongs to the existing technology, including several capability viewpoints, project pilot points, data and information viewpoints, and service viewpoints. -4 viewpoints, SV-10c viewpoint and SV-10b viewpoint. Through the above viewpoints, we can obtain a system architecture suitable for this military simulation field that can work with the combat simulation model, and can realize the simulation and the function of collecting communication status information without using other perspectives, making the system more compact and improving the work simulation. efficacy.

As another embodiment of the present application, an information chain analysis device based on an architecture model is provided, the device includes: a model building module, and the model building module is used to respectively build a combat simulation model and a combat simulation model based on a combat scenario. An architecture model, where the architecture model is used to provide interaction rules for each subunit in the combat simulation model;

An interactive data acquisition module, the interactive data acquisition module is used to acquire the interactive data generated by the interaction of each subunit of the combat simulation model during the joint simulation process of the combat simulation model and the system architecture model;

as well as

A system communication performance evaluation parameter production module, the system communication performance evaluation parameter production module is used to screen and recombine the interaction data to generate system communication performance evaluation parameters.

In the embodiment of the present application, for the explanation of the above steps, refer to the explanation of the method shown in FIG. 1 , and details are not repeated here. Through the setting of the above modules, this device can obtain specific and intuitive quantitative data of the communication status between the subsystems in the combat system based on the combat scene through simulation, so as to provide more accurate and intuitive communication indicators for the development of a new generation of communication systems. Scientific data support.

As another embodiment of the present application, a computer device is provided. As shown in FIG. 6, the computer device includes a memory and a processor, and a computer program is stored in the memory, and the computer program is executed by the processor. , causing the processor to execute the steps of the method for analyzing an information chain based on an architecture model in any one of claims 1 to 7.

Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be implemented through computer programs to instruct related hardware, and the programs can be stored in non-volatile computer-readable storage media , when the program is executed, it may include the procedures of the embodiments of the above-mentioned methods. Wherein, any references to memory, storage, database or other media used in the various embodiments provided in the present application may include non-volatile and/or volatile memory. Nonvolatile memory can include read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Chain Synchlink DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

In this embodiment, the computer device can be a cloud device, or a terminal device such as a single-chip microcomputer or a computer. The system formed by this solution runs inside the above-mentioned device, and the communication data can be simulated and obtained through the above-mentioned system, so as to improve the existing communication To improve the deficiencies of the system.

Computer equipment can be an independent physical server or terminal, or a server cluster composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud server, cloud database, cloud storage, and CDN. The terminal may be a smart phone, a tablet computer, a laptop computer, a desktop computer, a smart speaker, a smart watch, etc., but is not limited thereto. Terminals and computer equipment can be connected through a network, which is not limited in the present invention.

Those skilled in the art can understand that the structure shown in FIG. 6 is only a block diagram of a part of the structure related to the solution of this application, and does not constitute a limitation on the computer equipment to which the solution of this application is applied. The specific computer equipment can be More or fewer components than shown in the figures may be included, or some components may be combined, or have a different arrangement of components.

As another embodiment of the present application, a computer-readable storage medium is provided. A computer program is stored on the computer-readable storage medium. When the computer program is executed by a processor, the processor executes the Any one of claims 1 to 7 claims the steps of the information chain analysis method based on the architecture model.

In the embodiment of the present application, the storage device stores a program, and the program can use the method in this solution when executed.

It should be understood that although the various steps in the flow charts of the embodiments of the present invention are shown sequentially according to the arrows, these steps are not necessarily executed sequentially in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be executed in other orders. Moreover, at least some of the steps in each embodiment may include multiple sub-steps or multiple stages, these sub-steps or stages are not necessarily executed at the same time, but may be executed at different times, the sub-steps or stages The order of execution is not necessarily performed sequentially, but may be performed alternately or alternately with at least a part of other steps or sub-steps or stages of other steps.

The technical features of the above-mentioned embodiments can be combined arbitrarily. To make the description concise, all possible combinations of the technical features in the above-mentioned embodiments are not described. However, as long as there is no contradiction in the combination of these technical features, should be considered as within the scope of this specification.

The above-mentioned embodiments only express several implementation modes of the present invention, and the description thereof is relatively specific and detailed, but should not be construed as limiting the patent scope of the present invention. It should be pointed out that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the patent for the present invention should be based on the appended claims.

Claims (10)

1. An information chain analysis method based on an architecture model, which is characterized by comprising the following steps:

respectively constructing a combat simulation model and a system architecture model based on a combat scene, wherein the system architecture model is used for providing interaction rules of all subunits in the combat simulation model;

acquiring interactive data generated by interaction of each subunit of the combat simulation model in the joint simulation process of the combat simulation model and the system architecture model;

and screening and recombining the interactive data to generate system communication performance evaluation parameters.

2. The method of claim 1, wherein the interaction rules include engagement rules and communication rules,

the combat rules are used for stipulating the combat triggering conditions and the combat contents of each subunit,

the communication rules are used for providing the specifications of data interaction between the subunits and other subunits during battle.

3. The method of claim 1, wherein the joint simulation is run by the combat simulation model sending combat events according to battlefield spatio-temporal information.

4. The method of claim 1, wherein the interaction data comprises: one or more of an information generation time, an information arrival time, information content, an information generator, an information relay, and an information receiver.

5. The method according to claim 1, wherein the step of filtering and reconstructing the interaction data to generate system communication performance evaluation parameters specifically comprises:

constructing an evaluation framework based on the system architecture model;

and screening and recombining the interactive data to the evaluation framework to generate system communication performance evaluation parameters.

6. The method of claims 1-5, wherein the architectural modeling development is based on the United states defense System architecture framework DoDAF2.0 and the architecture description language UPDM2.0.

7. The method of claim 6, wherein the architectural model employs an SV-1 viewpoint, an SV-2 viewpoint, an SV-4 viewpoint, an SV-10c viewpoint, and an SV-10b viewpoint.

8. An information chain analysis device based on an architecture model, characterized by comprising:

the model building module is used for respectively building a combat simulation model and a system architecture model based on a combat scene, and the system architecture model is used for providing interaction rules of all subunits in the combat simulation model;

the interactive data acquisition module is used for acquiring interactive data generated by interaction of each subunit of the combat simulation model in the combined simulation process of the combat simulation model and the system architecture model;

and

and the system communication performance evaluation parameter production module is used for screening and recombining the interactive data to generate a system communication performance evaluation parameter.

9. A computer arrangement comprising a memory and a processor, the memory having stored thereon a computer program that, when executed by the processor, causes the processor to carry out the steps of the architecture model based information chain analysis method of any of claims 1 to 7.

10. A computer-readable storage medium, having stored thereon a computer program which, when executed by a processor, causes the processor to carry out the steps of the architecture model based information chain analysis method of any of claims 1 to 7.

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