Digital twinning-based command training method and device, storage medium and equipment

Abstract

The invention discloses a command training method and device based on digital twinning, a storage medium and equipment. The method comprises the following steps: acquiring a training plan, training basic data, a training scenario file and a training communication networking contact file which are prepared by group training personnel on a guide, cutting and evaluation integrated component; the control expression component loads the training basic data according to the training scenario file and arranges a training plan after the training scenario file is loaded; and when a training control command issued by group trainees on the guiding, cutting and evaluating integrated component is received, the multi-platform bridging agent component is linked with the corresponding type systems of different virtual and real types to train the training plan. The problem that in the prior art, when command training is carried out, the training cost cannot be controlled, and the training simulation degree cannot be guaranteed at the same time is solved.

Description

Technical Field

[0001] The present invention relates to the field of simulation training technology, and in particular to a command training method, device, storage medium and equipment based on digital twins. Background Art

[0002] The existing command training systems can be roughly divided into three categories: the first is live training based on actual equipment, the second is simulation training based on semi-physical equipment, and the third is pure simulation training based on computer software.

[0003] However, all three categories have great shortcomings for users. The first category is live training based on actual equipment, which is carried out on actual equipment and requires strong support from superiors, friendly neighbors, subordinates and other units to complete the command training at this level, which consumes huge resources; the second category is simulation training based on semi-physical objects, which is mostly single-equipment and single-person training, lacking systematic process and tactical training; the third category is pure simulation training based on computer software, which is not realistic enough in human-computer interaction and training process. Too much simulation training can easily bring users some illusions about command process and tactics, thus leading to a departure from the essence of training. Therefore, the existing training methods have certain drawbacks and cannot take into account both controlling training costs and ensuring training simulation. Summary of the invention

[0004] In view of this, the purpose of the present invention is to provide a command training method, device, storage medium and equipment based on digital twins, aiming to solve the problem in the prior art that it is impossible to take into account both controlling training costs and ensuring training simulation when conducting command training.

[0005] On one hand, the present invention proposes a command training method based on digital twins, which is applied to a command training system. The command training system includes an equipment digital model component, a command and evaluation integrated component, a performance component, a multi-platform bridging agent component, and a type system of different virtual and real types that are interconnected. The method includes: Obtaining the training plan, basic training data, training scenario files and training communication networking contact files prepared by the training personnel on the integrated guidance, adjudication and evaluation component; Controlling the performance component to load the basic training data according to the training scenario file, and arranging the training plan after the training scenario file is loaded; When the training control command issued by the training personnel in the integrated director, judge and evaluate component is received, the training plan is trained by linking the corresponding type systems of different virtual and real types through the multi-platform bridging agent component.

[0006] Furthermore, in the above-mentioned command training method based on digital twins, the performance components include platform mobility model components, communication network model components, command relationship model components, intelligence reconnaissance model components, and firepower damage model components.

[0007] Furthermore, in the above-mentioned command training method based on digital twin, the platform maneuver model component is used to publish real-time operation trajectories according to the routes planned by the user; The communication network model component is used to publish corresponding parameters including working mode, table number, protocol type, network number, frequency, power, transceiver mode, and channel number according to the communication parameters pre-planned by the user; The command relationship model component is used to publish corresponding parameters including equipment grouping, formation, and battle formation preferred replacement command equipment according to the command level parameters pre-planned by the user; The intelligence reconnaissance model component is used to publish parameters including the position, heading, threat level and type of both the enemy and us according to the intelligence parameters of the superior intelligence, friendly intelligence, current intelligence and subordinate intelligence pre-edited by the user.

[0008] The fire damage model component is used to publish corresponding parameters of damage parts and damage percentage according to damage rules predefined by users.

[0009] Further, in the above-mentioned command training method based on digital twin, the multi-platform bridging agent component includes a physical adapter, a software adapter, and a structural adapter for interconnecting with the type systems of different virtual and real types; The multi-platform bridging agent component is used to receive the status information and command information of the different virtual and real types of type systems and bridge them to the platform mobility model component, communication network model component, command relationship model component, and intelligence reconnaissance model component; And it is used to receive the performance component to simulate the command information of the superior, subordinate, current level and friendly neighbor identities to the type system of different virtual and real types.

[0010] Furthermore, in the above-mentioned command training method based on digital twin, the equipment digital model component is used to receive the real-time maneuvering route of the platform maneuvering model component and display the maneuvering action of the equipment; Receive real-time communication parameters of the communication network model component, and display the deployment action and electromagnetic radiation effect of the equipment communication equipment; receiving command command parameters of the command relationship model component, and displaying equipment formation and command hierarchy relationships; Receive various intelligence information from the intelligence reconnaissance model components and display the processing and transmission of the equipment intelligence system; Receive damage information of the fire damage model components and display different degrees of damage, paralysis, fire and explosion of different groups of equipment.

[0011] Furthermore, in the above-mentioned command training method based on digital twins, the different types of virtual-real systems include real-installation systems, semi-real-installation equipment, pure virtual simulation systems and other external training systems.

[0012] Furthermore, in the above-mentioned command training method based on digital twins, after the step of training the training plan by linking the corresponding type systems of different virtual and real types through the multi-platform bridging agent component, the step further includes: Acquire training process data generated during the training process, wherein the training process data includes key operation data and equipment status data; The key operation data and equipment status data are compared with preset standards to evaluate the training process.

[0013] Another object of the present invention is to provide a command training device based on digital twins, which is applied to a command training system. The command training system includes an equipment digital model component, a director, judge and review integrated component, a performance component, a multi-platform bridging agent component and a type system of different virtual and real types that are interconnected and communicated with each other. The device includes: An acquisition module, used to acquire the training plan, basic training data, training scenario files and training communication network contact files prepared by the training personnel on the integrated guidance, adjudication and evaluation component; A loading module, used to control the performance component to load the basic training data according to the training scenario file, and to arrange the training plan after the training scenario file is loaded; The training module is used to train the training plan by linking the corresponding type systems of different virtual and real types through the multi-platform bridging agent component when receiving the training control command issued by the training personnel in the integrated director, judge and evaluate component.

[0014] Another object of the present invention is to provide a readable storage medium having a computer program stored thereon, wherein the program implements the steps of the above method when executed by a processor.

[0015] Another object of the present invention is to provide an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the program.

[0016] The present invention sets components with different functions and makes each component work together to obtain the training plan, basic training data, training scenario file and training communication networking contact file prepared by the training personnel on the integrated command and evaluation component; the control performance component loads the basic training data according to the training scenario file, and arranges the training plan after the training scenario file is loaded; when receiving the training control command issued by the training personnel on the integrated command and evaluation component, the training plan is trained by linking the corresponding type systems of different virtual and real types through the multi-platform bridging agent component, and the type systems of different virtual and real types are organically interconnected, and different virtual and real type systems can be adopted for different training situations, so as to ensure the simulation degree of training under the premise of controlling the training cost. The problem that the existing technology cannot take into account both the control of training cost and the guarantee of training simulation degree when conducting command training is solved. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A schematic diagram of communication connections of various components in a command training system provided in one embodiment of the present invention; Figure 2 It is a flow chart of the command training method based on digital twin in the first embodiment of the present invention; Figure 3 This is a structural block diagram of a command training device based on digital twins in the third embodiment of the present invention.

[0018] The following specific implementation manner will further illustrate the present invention in conjunction with the above-mentioned drawings. DETAILED DESCRIPTION

[0019] In order to facilitate the understanding of the present invention, the present invention will be described more fully below with reference to the relevant drawings. Several embodiments of the present invention are given in the drawings. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the disclosure of the present invention more thorough and comprehensive.

[0020] It should be noted that when an element is referred to as being "fixed to" another element, it may be directly on the other element or there may be a central element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only.

[0021] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which the present invention belongs. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0022] See also Figure 1 , which is a schematic diagram of the communication connection of various components in the command training system proposed in one embodiment of the present invention, and the following embodiments can be applied to Figure 1 The command training system shown in the figure includes an equipment digital model component, a performance component, a multi-platform bridging agent component, and a director, judge, and review integrated component, wherein: The equipment digital model component is a high-precision three-dimensional digital model based on digital modeling, which also includes an external structure model, a motor model, an electrical model, and a logic control model. Its external structure, internal motor, and electrical logic control are consistent with the equipment of the user unit.

[0023] Specifically, the performance components include platform mobility model components, communication network model components, command relationship model components, intelligence reconnaissance model components, and fire damage model components, while the equipment digital model components can receive the real-time mobility route of the platform mobility model components to display the equipment mobility movements; receive the real-time communication parameters of the communication network model components to display the deployment movements of the equipment communication equipment and the electromagnetic radiation effects; receive the command command parameters of the command relationship model components to display the equipment formation and command hierarchy relationships; receive various intelligence information from the intelligence reconnaissance model components to display the processing and transmission of the equipment intelligence system; receive the damage information of the fire damage model components to display the different degrees of damage, paralysis, fire, and explosion of different components of the equipment; More specifically, the platform's maneuvering model component can publish real-time operating trajectories based on the user's planned routes, including longitude, latitude, altitude, speed, acceleration, pitch angle, roll angle, yaw angle, etc. It can also be adjusted according to the user's temporary intervention in the route.

[0024] The communication network model component can publish parameters including working mode, table number, protocol type, network number, frequency, power, transceiver mode, channel number, etc. according to the communication parameters planned in advance by the user.

[0025] The command relationship model component can publish parameters including equipment grouping, formation, combat formation, and preferred successor command equipment based on the command level parameters planned in advance by the user.

[0026] The intelligence reconnaissance model component can publish parameters including the position, heading, threat level, type, etc. of both the enemy and us based on intelligence parameters such as superior intelligence, friendly intelligence, current intelligence, and subordinate intelligence that have been edited in advance by the user.

[0027] The fire damage model component can publish parameters such as damage location and damage percentage based on the damage rules predefined by the user.

[0028] The multi-platform bridging agent component is the network interconnection basis of this system. It is designed according to the adapter mode and includes physical adapters, software adapters, structural adapters, etc. It can communicate with the status information and command information of different virtual and real types of systems and bridge them to the platform mobility model component, communication network model component, command relationship model component, and intelligence reconnaissance model component. And it is used to receive presentation components to simulate command information of superior, subordinate, current and friendly identities in type systems of different virtual and real types.

[0029] The integrated guidance, judgment and evaluation component is used to formulate training plans, issue training control instructions and evaluate the training process.

[0030] It should be pointed out that Figure 1 The structure shown does not constitute a limitation on the command training system. In other embodiments, the command training system may include fewer or more components than those shown in the figure, or combine certain components, or arrange the components differently.

[0031] The following will explain in detail how to balance controlling training costs and ensuring training simulation during command training in conjunction with specific embodiments and drawings.

[0032] Embodiment 1 See also Figure 2 , shown is a command training method based on digital twins in the first embodiment of the present invention, and the method includes steps S10 to S12.

[0033] Step S10, obtaining the training plan, basic training data, training scenario files and training communication networking contact files prepared by the training personnel on the integrated director, judge and evaluate component.

[0034] Among them, during the training preparation stage, training personnel can draw up training plans on the integrated command, adjudication and evaluation component according to the training plan, set up training courses, maintain basic training data such as training personnel and equipment, edit training scenario files such as trainee strength, meteorological environment, electromagnetic environment, intelligence, and prepare communication networking liaison files, so as to carry out preparatory work.

[0035] Step S11, controlling the performance component to load the basic training data according to the training scenario file, and arranging the training plan after the training scenario file is loaded.

[0036] Among them, the corresponding model in each performance component loads the basic training data according to the training scenario file provided in advance to complete the basic training preparation work, and then arranges the corresponding training plan for subsequent training implementation.

[0037] Step S12, when receiving the training control command issued by the training personnel in the integrated director, judge and evaluate component, the training plan is trained by linking the corresponding type systems of different virtual and real types through the multi-platform bridging agent component.

[0038] The training personnel send training control commands to the integrated command and evaluation component, and the corresponding models are interconnected through the adaptation of the multi-platform bridging agent component. Among them, the type systems of different virtual and real types include real-installation systems, semi-real-installation equipment, pure virtual simulation systems and other external training systems. The multi-platform bridging agent component can receive the status information and command information of the type systems of different virtual and real types and bridge them to the platform mobility model component, communication network model component, command relationship model component, and intelligence reconnaissance model component; receive the messages of each model in the performance component to simulate the command information of the superior, subordinate, current level, and friendly identity of the type system of different virtual and real types. And the training control commands, scenes and other evaluation information issued by the integrated command and evaluation component can be sent to each model component and other bridged real-installation systems, semi-real-installation equipment, pure virtual simulation systems and other external training systems.

[0039] Specifically, the systems participating in the training complete personnel login and software startup; manage and control the work of the entire training process, and are responsible for planning, allocating and managing system resources, monitoring the system operating status, and controlling the training process; controlling video playback and audio; issuing guidance and control instructions to the participating units in a timely manner and conducting guidance and control interventions; based on the operating conditions of the training courses, it can simulate the sending of command / status messages, received and sent documents and other information, and can also send intelligence information in real time to induce trainees to operate; obtain real-time information on the action status, loss, consumption, content of correspondence documents, video surveillance of various scenes and other information during the training process, and save it in a historical database; based on the data requirements of the indicator nodes in the evaluation indicator system, screen, filter, format convert and other data preprocessing work is performed on various types of video, messages, system operating status and other monitoring information generated during the system training process to generate evaluation data that can be used by various evaluation algorithms.

[0040] In summary, the command training method based on digital twins in the above embodiment of the present invention, by setting components with different functions and making each component work together, obtains the training plan, basic training data, training assumption files and training communication networking contact files prepared by the training personnel on the integrated command and evaluation component; the control performance component loads the basic training data according to the training assumption file, and arranges the training plan after the training assumption file is loaded; when receiving the training control command issued by the training personnel on the integrated command and evaluation component, the training plan is trained by linking the corresponding type systems of different virtual and real types through the multi-platform bridging agent component, and the type systems of different virtual and real types are organically interconnected, and different virtual and real type systems can be adopted for different training situations, and the simulation degree of training can be guaranteed under the premise of controlling the training cost. It solves the problem that the existing technology cannot take into account both controlling the training cost and ensuring the simulation degree of training when conducting command training.

[0041] Embodiment 2 This embodiment also proposes a command training method based on digital twins. The command training method based on digital twins in this embodiment is different from the command training method based on digital twins in Example 1 in that: After the step of training the training plan by linking the type systems of different virtual and real types corresponding to the multi-platform bridging agent component, the following step is further included: Acquire training process data generated during the training process, wherein the training process data includes key operation data and equipment status data; The key operation data and equipment status data are compared with preset standards to evaluate the training process.

[0042] Among them, the training staff announces the end of the training and conducts manual or automatic evaluation of whether the key operation data and equipment status data in the training process meet the preset standards, that is, the standard answers. Among them, the evaluation results of previous training indicators can be selected for comparative analysis as the basis for judgment; the evaluation indicators are calculated layer by layer from the bottom up to obtain the evaluation of all indicators in the indicator system for each evaluation object and the comprehensive evaluation results.

[0043] In summary, the command training method based on digital twins in the above embodiment of the present invention, by setting components with different functions and making each component work together, obtains the training plan, basic training data, training assumption files and training communication networking contact files prepared by the training personnel on the integrated command and evaluation component; the control performance component loads the basic training data according to the training assumption file, and arranges the training plan after the training assumption file is loaded; when receiving the training control command issued by the training personnel on the integrated command and evaluation component, the training plan is trained by linking the corresponding type systems of different virtual and real types through the multi-platform bridging agent component, and the type systems of different virtual and real types are organically interconnected, and different virtual and real type systems can be adopted for different training situations, and the simulation degree of training can be guaranteed under the premise of controlling the training cost. It solves the problem that the existing technology cannot take into account both controlling the training cost and ensuring the simulation degree of training when conducting command training.

[0044] Embodiment 3 See also Figure 3 , shown is a command training device based on digital twins proposed in the third embodiment of the present invention, which is applied to a command training system. The command training system includes an equipment digital model component, a director, judge and review integrated component, a performance component, a multi-platform bridging agent component and different virtual and real types of type systems that are interconnected and communicated with each other. The device includes: An acquisition module 100 is used to acquire the training plan, basic training data, training scenario files and training communication network contact files prepared by the training personnel on the integrated guidance, judgment and evaluation component; A loading module 200, used to control the performance component to load the basic training data according to the training scenario file, and to compile the training plan after the training scenario file is loaded; The training module 300 is used to train the training plan by linking the corresponding type systems of different virtual and real types through the multi-platform bridging agent component when receiving the training control command issued by the training personnel in the integrated director, judge and evaluate component.

[0045] Furthermore, in the above-mentioned command training device based on digital twin, the performance components include platform mobility model components, communication network model components, command relationship model components, intelligence reconnaissance model components, and firepower damage model components.

[0046] Furthermore, in the above-mentioned command training device based on digital twin, the platform maneuver model component is used to publish a real-time operation trajectory according to the route planned by the user; The communication network model component is used to publish corresponding parameters including working mode, table number, protocol type, network number, frequency, power, transceiver mode, and channel number according to the communication parameters pre-planned by the user; The command relationship model component is used to publish corresponding parameters including equipment grouping, formation, and battle formation preferred replacement command equipment according to the command level parameters pre-planned by the user; The intelligence reconnaissance model component is used to publish parameters including the position, heading, threat level and type of both the enemy and us according to the intelligence parameters of the superior intelligence, friendly intelligence, current intelligence and subordinate intelligence pre-edited by the user.

[0047] The fire damage model component is used to publish corresponding parameters of damage parts and damage percentage according to damage rules predefined by users.

[0048] Further, in the above-mentioned command training device based on digital twin, the multi-platform bridging agent component includes a physical adapter, a software adapter, and a structural adapter for interconnecting with the type systems of different virtual and real types; The multi-platform bridging agent component is used to receive the status information and command information of the different virtual and real types of type systems and bridge them to the platform mobility model component, communication network model component, command relationship model component, and intelligence reconnaissance model component; And it is used to receive the performance component to simulate the command information of the superior, subordinate, current level and friendly neighbor identities to the type system of different virtual and real types.

[0049] Furthermore, in the above-mentioned command training device based on digital twin, the equipment digital model component is used to receive the real-time maneuvering route of the platform maneuvering model component and display the maneuvering action of the equipment; Receive real-time communication parameters of the communication network model component, and display the deployment action and electromagnetic radiation effect of the equipment communication equipment; receiving command command parameters of the command relationship model component, and displaying equipment formation and command hierarchy relationships; Receive various intelligence information from the intelligence reconnaissance model components and display the processing and transmission of the equipment intelligence system; Receive damage information of the fire damage model components and display different degrees of damage, paralysis, fire and explosion of different groups of equipment.

[0050] Furthermore, in the above-mentioned command training device based on digital twins, the different virtual-real types of systems include real-installation systems, semi-real-installation equipment, pure virtual simulation systems and other external training systems.

[0051] Furthermore, in the above-mentioned command training device based on digital twin, after the step of training the training plan by linking the corresponding type systems of different virtual and real types through the multi-platform bridging agent component, the step further includes: Acquire training process data generated during the training process, wherein the training process data includes key operation data and equipment status data; The key operation data and equipment status data are compared with preset standards to evaluate the training process.

[0052] The functions or operation steps implemented when the above modules are executed are substantially the same as those in the above method embodiments, and will not be repeated here.

[0053] Embodiment 4 Another aspect of the present invention further provides a readable storage medium having a computer program stored thereon, and when the program is executed by a processor, the steps of the method described in any one of the above-mentioned embodiments 1 to 2 are implemented.

[0054] Embodiment 5 Another aspect of the present invention provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method described in any one of the above-mentioned embodiments 1 to 2 when executing the program.

[0055] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0056] Those skilled in the art will appreciate that the logic and / or steps represented in the flowchart or otherwise described herein, for example, may be considered as an ordered list of executable instructions for implementing logical functions, and may be specifically implemented in any computer-readable storage medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For purposes of this specification, a "computer-readable storage medium" may be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0057] More specific examples (a non-exhaustive list) of computer-readable storage media include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable storage medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0058] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or a combination thereof: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0059] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0060] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A command training method based on digital twins, characterized in that: Applied in a command training system, the command training system includes an equipment digital model component, a command and evaluation integrated component, a performance component, a multi-platform bridging agent component and a type system of different virtual and real types that are interconnected and communicated with each other, the method includes: Obtaining the training plan, basic training data, training scenario files and training communication networking contact files prepared by the training personnel on the integrated guidance, adjudication and evaluation component; Controlling the performance component to load the basic training data according to the training scenario file, and arranging the training plan after the training scenario file is loaded; When the training control command issued by the training personnel in the integrated director, judge and evaluate component is received, the training plan is trained by linking the corresponding type systems of different virtual and real types through the multi-platform bridging agent component.

2. The command training method based on digital twin according to claim 1 is characterized in that: The performance components include a platform mobility model component, a communication network model component, a command relationship model component, an intelligence reconnaissance model component, and a fire damage model component.

3. The command training method based on digital twin according to claim 2 is characterized in that: The platform mobility model component is used to publish real-time operation trajectories according to the routes planned by the user; The communication network model component is used to publish corresponding parameters including working mode, table number, protocol type, network number, frequency, power, transceiver mode, and channel number according to the communication parameters pre-planned by the user; The command relationship model component is used to publish corresponding parameters including equipment grouping, formation, and battle formation preferred replacement command equipment according to the command level parameters pre-planned by the user; The intelligence reconnaissance model component is used to publish parameters including the position, heading, threat level and type of both the enemy and us according to the intelligence parameters of the superior intelligence, friendly intelligence, current intelligence and subordinate intelligence pre-edited by the user. The fire damage model component is used to publish corresponding parameters of damage parts and damage percentage according to damage rules predefined by users.

4. The command training method based on digital twin according to claim 2 is characterized in that: The multi-platform bridging agent component includes a physical adapter, a software adapter, and a structural adapter, which are used to interconnect with the type systems of different virtual and real types; The multi-platform bridging agent component is used to receive the status information and command information of the different virtual and real types of type systems and bridge them to the platform mobility model component, communication network model component, command relationship model component, and intelligence reconnaissance model component; And it is used to receive the performance component to simulate the command information of the superior, subordinate, current level and friendly neighbor identities to the type system of different virtual and real types.

5. The command training method based on digital twin according to claim 2 is characterized in that: The equipment digital model component is used to receive the real-time maneuvering route of the platform maneuvering model component and display the maneuvering action of the equipment; Receive real-time communication parameters of the communication network model component, and display the deployment action and electromagnetic radiation effect of the equipment communication equipment; receiving command command parameters of the command relationship model component, and displaying equipment formation and command hierarchy relationships; Receive various intelligence information from the intelligence reconnaissance model components and display the processing and transmission of the equipment intelligence system; Receive damage information of the fire damage model components and display different degrees of damage, paralysis, fire and explosion of different groups of equipment.

6. The command training method based on digital twin according to claim 1 is characterized in that: The different virtual-real types of systems include real-installation systems, semi-real-installation equipment, pure virtual simulation systems and other external training systems.

7. The command training method based on digital twin according to any one of claims 1 to 6, characterized in that: After the step of training the training plan by linking the type systems of different virtual and real types corresponding to the multi-platform bridging agent component, the following step is further included: Acquire training process data generated during the training process, wherein the training process data includes key operation data and equipment status data; The key operation data and equipment status data are compared with preset standards to evaluate the training process.

8. A command training device based on digital twins, characterized in that: The invention is applied to a command training system, wherein the command training system includes an equipment digital model component, a director, judge and review integrated component, a performance component, a multi-platform bridging agent component and a type system of different virtual and real types that are interconnected and communicated with each other. The device includes: An acquisition module, used to acquire the training plan, basic training data, training scenario files and training communication network contact files prepared by the training personnel on the integrated guidance, adjudication and evaluation component; A loading module, used to control the performance component to load the basic training data according to the training scenario file, and to arrange the training plan after the training scenario file is loaded; The training module is used to train the training plan by linking the corresponding type systems of different virtual and real types through the multi-platform bridging agent component when receiving the training control command issued by the training personnel in the integrated director, judge and evaluate component.

9. A readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

10. An electronic device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method according to any one of claims 1 to 7 when executing the program.

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