An electromagnetic environment dynamic collaborative construction system based on three-domain fusion

Abstract

This invention relates to the field of electromagnetic environment simulation, addressing the problems of non-standard construction methods, limited construction means, and inflexible adjustment methods in the construction of complex electromagnetic environments. Specifically, it is a dynamic collaborative construction system for electromagnetic environments based on three-domain fusion, comprising a cognitive domain, a digital domain, and a physical domain. This invention reduces communication costs and errors caused by inconsistent standards by clearly defining the cognitive, digital, and physical domains and determining the specific tasks and data interaction processes at each stage. Through simulation and deduction in the digital domain and optimization in the cognitive domain, the quality and effectiveness of electromagnetic environment construction are improved. Furthermore, the optimized schemes generated in the cognitive domain can be mapped to physical domain equipment or devices through the digital domain, accurately parsing construction instructions and executing parameter configurations, ensuring the effective implementation of the scheme in the actual physical environment and guaranteeing that the electromagnetic environment construction achieves the expected goals.

Description

Technical Field

[0001] This invention relates to the field of electromagnetic environment simulation, specifically to a dynamic collaborative construction system for electromagnetic environment based on three-domain fusion. Background Technology

[0002] As an important component of combat-oriented training environments, the electromagnetic environment has received high attention, whether it is specialized training at the training base, comprehensive exercises at the training base, or digital and simulation training conducted based on simulation systems.

[0003] For a long time, despite the deepening research on complex electromagnetic environments, a unified understanding has not yet been formed regarding the assessment of electromagnetic environment complexity and how to create complex electromagnetic environments. Furthermore, due to factors such as the invisibility of electromagnetic space, the diversity of electromagnetic signals, the complexity of their mechanisms, and the limited sources of signal radiation in simulated combat, the construction of complex electromagnetic environments in training generally faces the following challenges:

[0004] The construction method is not standardized: a complete set of construction theories, methods and steps has not yet been formed, which leads to the construction system being strongly correlated with specific applications and lacking promotion and reuse value. At the same time, it relies on manual experience to set parameters, and the effect of electromagnetic environment construction in typical scenarios cannot be controlled with error compared with the target requirements.

[0005] The construction methods are limited: more than 70% of the systems use physical radiation sources such as radar, communication radio, and optoelectronic equipment to stack up, which cannot simulate complex signal overlap effects. At the same time, the virtual and real are severely separated. The interaction delay between virtual entities and physical devices in LVC training reaches the second level, which makes it difficult to meet the current needs of integrated LVC training.

[0006] The adjustment methods are inflexible: the dynamic failure rate of interference parameters preset statically before training is high, which has obvious defects. The average response time of a single manual adjustment during training is more than 5 minutes, which cannot meet the needs of high-intensity confrontation.

[0007] Based on the shortcomings and weaknesses of current electromagnetic environment construction, and with the goal of intelligent construction of complex electromagnetic environments during training, this invention proposes a dynamic collaborative construction system for electromagnetic environments based on three-domain fusion. Summary of the Invention

[0008] In this invention, by clearly defining the cognitive domain, digital domain, and physical domain, specific tasks and data interaction processes for each stage are determined, reducing communication costs and errors caused by inconsistent standards. Through simulation and deduction in the digital domain and optimization in the cognitive domain, the quality and effectiveness of electromagnetic environment construction are improved. At the same time, the optimized scheme generated in the cognitive domain can be mapped to physical domain equipment or devices through the digital domain, and accurately parse construction instructions and execute parameter configurations, ensuring the effective implementation of the scheme in the actual physical environment and ensuring that the electromagnetic environment construction can achieve the expected goals. This addresses the technical deficiencies mentioned in the background art and proposes a dynamic collaborative construction system for electromagnetic environment based on the fusion of three domains.

[0009] The objective of this invention can be achieved through the following technical solution: a dynamic collaborative construction system for electromagnetic environment based on three-domain fusion, including a cognitive domain, a digital domain, a physical domain, and a data communication module;

[0010] The physical domain includes an equipment control unit, a radiation source simulation unit, and an electromagnetic environment monitoring unit.

[0011] The digital domain includes an electromagnetic simulation model library, a digital twin simulation and deduction unit, and an electromagnetic twin intelligent control central unit;

[0012] The cognitive domain includes a requirement analysis unit, a solution generation unit, and a dynamic adjustment unit;

[0013] The physical domain is used to collect and execute electromagnetic signals, obtain device status parameters and environmental parameters, and receive configuration instructions through the digital domain to adjust device parameters.

[0014] The digital domain acquires device status parameters and environmental parameters through the physical domain and generates a global electromagnetic situation. At the same time, it acquires an initial scheme through the cognitive domain and performs simulation, scheme optimization, and instruction conversion on the initial scheme.

[0015] The cognitive domain generates an initial scheme by parsing a scenario file, and can also obtain the global electromagnetic situation through the digital domain. Based on the global electromagnetic situation, it performs situational awareness analysis, generates control commands through iterative optimization, and sends the control commands to the digital domain.

[0016] The data interoperability module can simultaneously interoperate with the cognitive domain, digital domain, and physical domain, and also conduct data transmission and interaction through conversion protocols.

[0017] In a preferred embodiment of the present invention, the device status parameters collected in the physical domain include operating frequency band, power and operating mode, and the environmental parameters collected include electromagnetic spectrum distribution and interference signal characteristics.

[0018] The physical domain acquires equipment status parameters through the equipment control unit and environmental parameters through the electromagnetic environment monitoring unit.

[0019] As a preferred embodiment of the present invention, the operation process of the electromagnetic environment dynamic collaborative construction system includes a reverse pre-simulation process and a forward execution process;

[0020] The reverse pre-run process path is from the cognitive domain to the digital domain and then to the physical domain, while the forward execution process path is from the physical domain to the digital domain and then to the cognitive domain.

[0021] As a preferred embodiment of the present invention, the specific process of the reverse pre-running process is as follows:

[0022] The cognitive domain parses the scenario file through the requirement parsing unit to obtain the parsing result. The cognitive domain then applies the parsing result through algorithm rules to obtain an initial scheme for electromagnetic environment construction.

[0023] After obtaining the initial scheme in the digital domain, the initial scheme is parsed and digital twin simulation is performed to generate the environmental situation and simulation results. Then, the simulation results are used to generate indicator evaluation and optimization suggestions.

[0024] The cognitive domain acquires evaluation indicators and optimization suggestions, and iteratively optimizes the initial solution;

[0025] The cognitive domain sends the iteratively optimized solution to the digital domain. The digital domain generates a dynamic configuration based on the iteratively optimized solution and executes the dynamic configuration through the physical domain.

[0026] In a preferred embodiment of the present invention, the specific process of the forward execution flow is as follows:

[0027] The physical domain collects device status and environmental parameters and sends them to the digital domain;

[0028] After receiving the device status and environmental parameters, the digital domain constructs a digital twin of the device, generates a global electromagnetic situation, and sends the global electromagnetic situation to the cognitive domain.

[0029] The cognitive domain performs situational awareness and analysis of the electromagnetic situation, and makes optimization adjustments.

[0030] In a preferred embodiment of the present invention, when the digital domain generates the global electromagnetic situation, it automatically analyzes and generates a device cluster adjustment scheme based on reinforcement learning algorithm and combined with physical domain device status and electromagnetic situation data. The device cluster adjustment scheme includes multi-type, multi-device collaborative strategies, cluster interference timing, and frequency band division of labor.

[0031] In a preferred embodiment of the present invention, after the cognitive domain completes the optimization and adjustment, the physical domain re-collects the device status and environmental parameters and enters the next round of forward execution process.

[0032] Compared with the prior art, the beneficial effects of the present invention are:

[0033] 1. In this invention, by clearly defining the cognitive domain, digital domain, and physical domain, and specifying the specific tasks and data interaction processes for each stage, a standardized technical framework is provided for electromagnetic environment construction. This reduces communication costs and errors caused by inconsistent standards. Through the cognitive domain, based on the scenario document and feedback from the digital domain, intelligent generation and optimization schemes are achieved, reducing the blindness and subjectivity of manual intervention and improving the scientificity and effectiveness of the schemes. Through simulation and deduction in the digital domain, problems in the electromagnetic environment construction schemes can be identified in advance, and indicator evaluation and optimization suggestions can be made. Then, through automatic or human-based optimization in the cognitive domain, a closed-loop optimization mechanism is formed, enabling the generated schemes to better adapt to the needs of actual electromagnetic environments and improve the quality and effectiveness of electromagnetic environment construction.

[0034] 2. In this invention, the optimized scheme generated by the cognitive domain can be mapped to the physical domain equipment or device through the digital domain, and accurately parse the construction instructions and execute the parameter configuration, so as to ensure the effective implementation of the scheme in the actual physical environment, ensure that the electromagnetic environment construction can achieve the expected goal, and improve the practicality and reliability of the system.

[0035] 3. In this invention, heterogeneous devices serve as the decision-making entities. Based on preset rules such as device type, frequency band division, and signal priority, they autonomously coordinate in actions such as target detection, threat analysis, target selection, and interference release. This ensures that the electromagnetic environment construction can quickly respond to basic operational needs. Led by an electromagnetic twin intelligent control center, based on the cognitive domain target, physical domain real-time situation and twin simulation, a device cluster collaborative scheme is generated through reinforcement learning to improve overall optimization. Relying on a dynamic decision-making system, knowledge graph, graph network analysis results, and global situation are integrated. Combined with data acquisition and target generation, the electromagnetic environment construction is anchored to the practical direction. The device level, digital domain, and cognitive domain ensure real-time collaborative accuracy through the physical domain and achieve global optimization through the digital domain, significantly improving the accuracy and practicality of the electromagnetic environment construction. This constructs an electromagnetic environment decision-making scheme with autonomous decision-making, collaborative efficiency, and intelligent evolution capabilities. Attached Figure Description

[0036] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0037] Figure 1 This is a system block diagram of the present invention;

[0038] Figure 2This is a flowchart illustrating the reverse engineering process of the present invention;

[0039] Figure 3 This is a flowchart illustrating the forward execution of the present invention. Detailed Implementation

[0040] The technical solution of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0041] Example 1: Please refer to Figure 1 - Figure 3 As shown, a dynamic collaborative construction system for electromagnetic environment based on three-domain integration includes a cognitive domain, a digital domain, a physical domain, and a data communication module.

[0042] The physical domain is located at the bottom layer of the architecture and consists of a heterogeneous equipment cluster, including equipment control units, radiation source simulation units, and electromagnetic environment monitoring units. Its main function is to collect electromagnetic signals and perform operations. On the one hand, it collects its own equipment status and environmental parameters through the equipment control units and electromagnetic environment monitoring units. On the other hand, it receives and executes construction instructions from the digital domain and configures and adjusts equipment parameters through the equipment control units and radiation source simulation units.

[0043] The device status parameters collected in the physical domain include operating frequency band, power, and operating mode, while the environmental parameters collected include electromagnetic spectrum distribution and interference signal characteristics.

[0044] The physical domain obtains equipment status parameters through the equipment control unit and environmental parameters through the electromagnetic environment monitoring unit.

[0045] The digital domain is located in the middle layer of the architecture, and its core is the dynamic twin engine, which includes an electromagnetic simulation model library, a digital twin simulation and deduction unit, and an electromagnetic twin intelligent control hub unit. It is used to receive data reported by the physical domain, build digital twins of physical domain devices, integrate multi-source information to generate a global electromagnetic situation, and receive schemes and instructions from the cognitive domain. Through the digital twin simulation and deduction unit and the electromagnetic twin intelligent control hub unit, it performs simulation and deduction, scheme optimization and instruction conversion. It is the key link between the physical domain and the cognitive domain, and plays the role of data processing, situation generation and instruction conversion.

[0046] The cognitive domain is at the top of the architecture and is a dual-engine decision-making system, including a requirement analysis unit, a solution generation unit, and a dynamic adjustment unit. The requirement analysis unit can parse the scenario file, the solution generation unit generates the initial solution, and the dynamic adjustment unit can receive the electromagnetic situation pushed by the digital domain, carry out situational awareness and analysis, iterate and optimize the solution through automatic or human-in-the-loop optimization mechanism, generate control commands through iterative optimization, and send the control commands to the digital domain. It is the decision core of the system.

[0047] The data interoperability module is the EM-ADAPTER middleware, which enables data interoperability with the cognitive, digital, and physical domains, allowing heterogeneous devices to access and communicate with each other. It also performs protocol conversions such as OPCUA / HLA / DIS, and conducts data transmission and interaction through the conversion protocols, ensuring efficient data transmission and interaction between different domains and devices. In addition, it undertakes time-sensitive control and causal verification functions based on spatiotemporal stamps, ensuring the timeliness and accuracy of the entire system's collaborative operation, and providing important support for the integration of the three domains.

[0048] The operation process of the electromagnetic environment dynamic collaborative construction system includes a reverse simulation process. The reverse simulation process follows a path from the cognitive domain to the digital domain and then to the physical domain. The specific process of the reverse simulation is as follows:

[0049] After the cognitive domain parses the scenario file through the requirement parsing unit, it obtains the parsing result. The cognitive domain then applies the parsing result through algorithm rules to obtain the initial scheme for electromagnetic environment construction.

[0050] After obtaining the initial solution in the digital domain, the initial solution is parsed and digital twin simulation is performed, such as using Unity3D / UE4 engine, to generate environmental situation and simulation results. Then, the simulation results are used to generate indicator evaluation and optimization suggestions.

[0051] The cognitive domain acquires evaluation indicators and optimization suggestions, and initiates an automatic / human-in-the-loop optimization mechanism to automatically or manually iterate and optimize the initial solution.

[0052] The cognitive domain sends the iteratively optimized scheme to the digital domain. The digital domain generates a dynamic configuration based on the iteratively optimized scheme. After receiving the configuration, the physical domain parses the construction instructions, executes the parameter configuration, and finally completes the physical domain execution operation to realize the intelligent construction and control of the electromagnetic environment.

[0053] Example 2: Please refer to Figure 1 - Figure 3As shown, the operation process of the electromagnetic environment dynamic collaborative construction system also includes a forward execution process. The forward execution process is a path from the physical domain to the digital domain and then to the cognitive domain. Relying on the collaboration of the physical domain, digital domain and cognitive domain, it operates with "data-driven, three-level decision-making and closed-loop iteration" as the core logic. The physical domain first collects the equipment status and environmental parameters and reports them. The digital domain builds a twin to generate the overall situation and pushes it to the cognitive domain.

[0054] Next, a three-level linkage optimization process is initiated. The physical domain autonomously and collaboratively adjusts itself in milliseconds based on rules, the digital domain optimizes the device cluster in seconds through reinforcement learning, and the cognitive domain relies on knowledge graphs and graph network analysis to generate instructions through human-machine collaboration, which are then converted into device instructions for execution by the digital domain. After each round of the process, the physical domain re-collects data and starts a new closed loop. Through three-level decision-making, training needs are accurately adapted, and the integration of multiple technologies ensures the scientific nature of the decisions. The entire closed loop achieves dynamic and continuous optimization, creating an electromagnetic environment that fits actual combat for training.

[0055] The specific process of the forward execution flow is as follows:

[0056] The physical domain collects equipment status information such as operating frequency band, power, and operating mode, as well as environmental parameters such as electromagnetic spectrum distribution and interference signal characteristics, and sends them to the digital domain.

[0057] After receiving device status and environmental parameters, the digital domain constructs a digital twin of the device, integrates multi-source information to generate a global electromagnetic situation, such as the distribution of devices in the physical domain and signal interactions, and sends the global electromagnetic situation to the cognitive domain.

[0058] The cognitive domain performs situational awareness and analysis of the electromagnetic situation and makes optimization adjustments.

[0059] When generating the global electromagnetic situation in the digital domain, the system automatically analyzes and generates a device cluster adjustment plan based on reinforcement learning algorithms and physical domain device status and electromagnetic situation data. The device cluster adjustment plan includes collaborative strategies for multiple types and multiple devices, cluster interference timing, and frequency band division of labor.

[0060] After the cognitive domain completes the optimization and adjustment, the physical domain re-collects the device status and environmental parameters, and enters the next round of forward execution process to continuously adapt to the dynamic requirements of training for electromagnetic environment construction.

[0061] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A dynamic collaborative construction system for electromagnetic environment based on three-domain fusion, characterized in that, This includes cognitive domain, digital domain, physical domain, and data interoperability modules; The physical domain includes an equipment control unit, a radiation source simulation unit, and an electromagnetic environment monitoring unit. The digital domain includes an electromagnetic simulation model library, a digital twin simulation and deduction unit, and an electromagnetic twin intelligent control central unit; The cognitive domain includes a requirement analysis unit, a solution generation unit, and a dynamic adjustment unit; The physical domain is used to collect and execute electromagnetic signals, obtain device status parameters and environmental parameters, and receive configuration instructions through the digital domain to adjust device parameters. The digital domain acquires device status parameters and environmental parameters through the physical domain and generates a global electromagnetic situation. At the same time, it acquires an initial scheme through the cognitive domain and performs simulation, scheme optimization, and instruction conversion on the initial scheme. The cognitive domain generates an initial scheme by parsing a scenario file, and can also obtain the global electromagnetic situation through the digital domain, perform situational awareness analysis based on the global electromagnetic situation, generate control commands through iterative optimization, and send the control commands to the digital domain. The data interoperability module can simultaneously interoperate with the cognitive domain, digital domain, and physical domain, and also conduct data transmission and interaction through conversion protocols.

2. The electromagnetic environment dynamic collaborative construction system based on three-domain fusion according to claim 1, characterized in that, The device status parameters collected in the physical domain include operating frequency band, power and operating mode, and the environmental parameters collected include electromagnetic spectrum distribution and interference signal characteristics. The physical domain acquires equipment status parameters through the equipment control unit and environmental parameters through the electromagnetic environment monitoring unit.

3. The electromagnetic environment dynamic collaborative construction system based on three-domain fusion according to claim 1, characterized in that, The operation process of the electromagnetic environment dynamic collaborative construction system includes a reverse pre-simulation process and a forward execution process; The reverse pre-run process path is from the cognitive domain to the digital domain and then to the physical domain, while the forward execution process path is from the physical domain to the digital domain and then to the cognitive domain.

4. The electromagnetic environment dynamic collaborative construction system based on three-domain fusion according to claim 3, characterized in that, The specific process of the reverse pre-simulation procedure is as follows: The cognitive domain parses the scenario file through the requirement parsing unit to obtain the parsing result. The cognitive domain then applies the parsing result through algorithm rules to obtain an initial scheme for electromagnetic environment construction. After the digital domain obtains the initial scheme, it performs data parsing on the initial scheme and conducts digital twin simulation to generate environmental situation and simulation results. Then, it generates indicator evaluation and optimization suggestions based on the simulation results. The cognitive domain acquires evaluation indicators and optimization suggestions, and iteratively optimizes the initial solution; The cognitive domain sends the iteratively optimized solution to the digital domain. The digital domain generates a dynamic configuration based on the iteratively optimized solution and executes the dynamic configuration through the physical domain.

5. The electromagnetic environment dynamic collaborative construction system based on three-domain fusion according to claim 3, characterized in that, The specific process of the forward execution flow is as follows: The physical domain collects device status and environmental parameters and sends them to the digital domain; After receiving the device status and environmental parameters, the digital domain constructs a digital twin of the device, generates a global electromagnetic situation, and sends the global electromagnetic situation to the cognitive domain. The cognitive domain performs situational awareness and analysis of the electromagnetic situation, and makes optimization adjustments.

6. The electromagnetic environment dynamic collaborative construction system based on three-domain fusion according to claim 5, characterized in that, When generating the global electromagnetic situation in the digital domain, the system automatically analyzes and generates a device cluster adjustment plan based on reinforcement learning algorithms and physical domain device status and electromagnetic situation data. The device cluster adjustment plan includes collaborative strategies for multiple types and multiple devices, cluster interference timing, and frequency band division of labor.

7. The electromagnetic environment dynamic collaborative construction system based on three-domain fusion according to claim 5, characterized in that, After the cognitive domain completes the optimization and adjustment, the physical domain re-collects the device status and environmental parameters and enters the next round of forward execution process.

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