A training terminal, device and program product based on intelligent simulation technology

Abstract

The application provides a training terminal based on intelligent simulation technology, equipment and a program product thereof, which is used for large-scale exercise preview or training by combining MR technology and electronic sand table. By adding virtual elements to MR, emergency management skills such as reconnaissance, raid and rescue are trained, and the urban emergency capability and the disposal capability for coping with sudden conditions are improved. The application firstly provides configuration logic and MR head management strategy in line with user requirements for the MR head set based on fitting technology and simulation cluster characteristics; secondly, the MR display and operation cooperation are realized in the process of simulation controller entity and user interaction; thirdly, the simulation host of the training terminal faces concurrent interaction and rendering requirements, realizes differentiated multi-channel data acquisition and specific rendering, and realizes intelligent system management and control information flow and traceability in the form of software, so that the real-time environment modeling and dynamic rendering, cooperative interaction more in line with user requirements are provided for virtual environment construction and multi-person cooperative interactive training.

Description

TECHNICAL FIELD

[0001] The present application belongs to the field of new generation information technology, and particularly relates to a training terminal and device based on intelligent simulation technology and a program product thereof. BACKGROUND

[0002] Intelligent simulation technology is an advanced scientific and technological means that combines artificial intelligence and system simulation. In today's complex and changing wave of technological development, it is gradually showing its unique charm and strong application potential. In essence, intelligent simulation technology builds a virtual model environment with the help of highly developed computer technology to simulate and analyze various systems in the real world. These systems can be security training scenarios, complex production lines in industrial production, financial markets in the social and economic field, or even biological communities in natural ecological systems. Through intelligent algorithms such as machine learning algorithms, massive historical data are deeply mined and learned, so that the simulation model can automatically extract the operation rules and internal mechanisms of the system. This not only greatly shortens the research and development cycle and reduces the research and development cost, but also enables more flexible optimization and adjustment of design schemes to achieve rapid iteration of product performance. The emergence of intelligent simulation technology provides a new way of thinking and an efficient tool for innovation and development in various fields, and its importance is increasingly prominent.

[0003] The core advantage of intelligent simulation technology lies in its high flexibility and strong adaptability. It can be customized and optimized according to the specific needs of different industries and different application scenarios.

[0004] In the process of constructing a virtual-real scene, a highly simulated on-duty scene (such as a sentry post, a camp, a street, etc.) is constructed through three-dimensional modeling technology, and virtual elements are superimposed to realize the coexistence of physical space and digital objects. Real-time rendering engines (such as Unity or Unreal) are used to dynamically adjust lighting, weather, and other environmental conditions to enhance the realism of training. For example, the impact of low visibility or bad weather on visibility during night duty is simulated. At the same time, a digital twin model is created based on real on-duty points to support modular expansion (such as different terrains and building layouts). However, the development of intelligent simulation technology also faces some challenges and key points that need to be further broken through. First of all, data quality and data security are crucial issues. The training and operation of intelligent simulation models rely on a large amount of data, which often comes from different channels, and its accuracy and completeness are difficult to guarantee. If the data has errors or biases, it may lead to inaccurate simulation results, affecting the reliability of decision-making. At the same time, with the increasing amount of data and the increasing value of data, data security issues are increasingly prominent. How to ensure the security and privacy of data in the process of collection, storage, transmission and use, and prevent data leakage and malicious use, is one of the problems that intelligent simulation technology must solve. Second, the balance between model complexity and computational efficiency is also a focus that needs attention. In order to more accurately simulate the complex systems of the real world, the complexity of the model will often be continuously improved, which will lead to an exponential increase in the demand for computing resources. In practical applications, how to optimize the model structure, improve computational efficiency, and reduce dependence on hardware resources while ensuring model accuracy is an important direction to improve the practicality of intelligent simulation technology. In addition, the shortage of interdisciplinary talents also restricts the development of intelligent simulation technology to some extent. Intelligent simulation technology involves knowledge from computer science, mathematics, physics, engineering, and other disciplines, and requires professionals with interdisciplinary backgrounds to conduct research and development and application. At present, the relevant professional talents are relatively scarce, and the talent training system is not perfect, which to some extent affects the rapid development and wide application of intelligent simulation technology. Despite the many challenges, with the continuous progress of technology and the increasing demand for efficient and accurate simulation in various fields, intelligent simulation technology will continue to break through and overcome difficulties in the future development, bringing more innovation and change to various fields of human society, and showing a broader application prospect and great development potential.

[0005] The application provides a training terminal based on intelligent simulation technology, equipment and a program product thereof, which is used for large-scale exercise preview or training by combining MR technology and electronic sand table. The virtual elements are added to the MR to train emergency management skills such as reconnaissance, raid and rescue, and improve the urban emergency capability and the disposal capability for coping with sudden conditions. The application firstly provides configuration logic and MR head management strategy for the MR head set based on fitting technology and simulation cluster characteristics to meet the needs of users. Secondly, the MR display and operation cooperation are realized in the process of simulation controller entity and user interaction. Thirdly, the simulation host of the training terminal faces the concurrent interaction and rendering requirements, realizes differentiated multi-channel data acquisition and specific rendering, and realizes the flow and traceability of intelligent system management and control information in the form of software, so as to provide real-time environment modeling and dynamic rendering, cooperative interaction for virtual environment construction and multi-person cooperative interactive training which meet the needs of users. SUMMARY

[0006] The application aims to provide a training terminal based on intelligent simulation technology, equipment and a program product thereof which are superior to the prior art.

[0007] In order to achieve the above-mentioned purpose, the technical scheme of the application is as follows:

[0008] A training terminal based on intelligent simulation technology, the terminal comprising a plurality of components:

[0009] An MR head set, which is provided with an MR logic standardization fitting component and a simulation cluster.

[0010] A simulation controller, which is connected to a user as an analog entity, provides an operation interface, force feedback and multi-controller control chain function.

[0011] A simulation host, which is provided with a rendering center and a multi-channel data interaction manager.

[0012] An intelligent simulation training terminal signaling system, which carries simulation signaling interaction and traceability function in the form of information software.

[0013] Preferably, the MR logic standardization fitting component is used for fitting MR configuration information and simulation standard logic to realize MR bottom layer standard logic of the system in a single intelligent simulation training.

[0014] The simulation cluster is used for establishing a three-dimensional simulation array model in the simulation cluster established by a plurality of MR head sets, maintaining the relationship with the adjacent cluster of MR head sets, and realizing the dynamic migration of each MR head set in the multi-point simulation cluster.

[0015] Preferably, the multi-controller control chain is configured based on the set simulation signaling mapping table configuration information, when a user configures a single simulation controller, enables or disables the associated components in the simulation signaling mapping table based on the configuration signaling, and performs the on-chain control and cooperative linkage of the associated components.

[0016] Preferably, the MR head set supports high-resolution display, spatial positioning and gesture recognition, ensuring immersive experience and low-latency interaction.

[0017] The rendering center is used for collecting multi-channel concurrent rendering instructions of a multi-channel data interaction manager, and performing MR rendering, the multi-channel data interaction manager is used for collecting concurrent configuration requirements of multiple users and initial rendering instructions, providing instruction parameters for the corresponding initial rendering instructions based on the configuration requirements, forming multi-channel concurrent rendering instructions for indicating different rendering effects for specific users.

[0018] Preferably, the simulation controller is specifically a duty post, including semi-physical simulation devices such as firearms, tools, and duty operation tables, and needs to have force feedback function to enhance the operation reality, and can be linked to control the opening of a bullet box and other operations.

[0019] Preferably, the simulation host machine includes a high-performance computing unit for meeting the real-time rendering and multi-user concurrent requirements of complex scenes.

[0020] Preferably, the intelligent simulation training terminal signaling system supports a virtual environment engine, supports 1:1 restoration of real scenes, and can dynamically adjust lighting, weather and environmental parameters.

[0021] Preferably, the terminal supports multi-user online training to realize tactical cooperation or team operation tasks.

[0022] At the same time, the application also proposes a computer device, including a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the corresponding functions of the training terminal based on intelligent simulation technology as described above when executing the program.

[0023] Through the training terminal based on intelligent simulation technology, gesture recognition, voice instructions and virtual object interaction are realized. In training, virtual maps can be manipulated by gestures. Combined with haptic feedback devices (such as force feedback gloves) to simulate physical feedback of operations. At the same time, inertial sensors and optical tracking systems are used to capture the actions of trainees in real time, ensuring that virtual interaction and real behavior are synchronized. For example, whether the posture conforms to the specification. The physiological sensors (such as heart rate monitors) are integrated to evaluate the psychological state. In addition, through the physical buttons and touch screen operation buttons on the business system, the relevant operations will be fed back to the MR head set system in real time, and the operations on the MR head set can also be actually linked to the supply box and on-off quantity on the business system, as well as the output and collection of audio.

[0024] The training terminal based on the intelligent simulation technology can also fuse environmental sensors (such as infrared cameras), wearable device data and historical records to construct a real-time digital twin. For example, a dynamic terrain model is generated. The data information of the on-off signals and alarm signals of the business system is accessed to enhance the intelligence of the virtual role. The virtual role adopts an AI algorithm to simulate diversified behavior patterns, and dynamically adjusts real-time analysis according to the decisions of the trainees.

[0025] The training terminal based on the intelligent simulation technology can also perform full-process training evaluation and feedback, record data such as action accuracy, reaction time and decision accuracy, and generate a multi-dimensional score report. The system can realize the integration of “teaching, training, examination and evaluation”. The progress trend of individuals / teams can be compared and analyzed through historical data. Training video playback is supported, and the virtual perspective is combined for review. In the case, the digital twin can reproduce the scene details.

[0026] At the same time, the application also provides a computer program product, which comprises computer instructions, and the computer instructions perform the corresponding functions of the training terminal based on the intelligent simulation technology when running through a processor.

[0027] The application provides a training terminal based on intelligent simulation technology, which is used for large-scale training by combining MR technology and electronic sand table. By adding virtual elements to MR, emergency management skills such as rescue are provided to improve the urban emergency capability and the disposal capability of responding to sudden situations. The application first provides configuration logic and MR head management strategy in line with user needs for the MR head set based on fitting technology and simulation cluster characteristics; secondly, in the process of simulation controller entity and user interaction, MR display and operation cooperation are realized in a linked manner; thirdly, the simulation host of the training terminal faces concurrent interaction and rendering requirements, realizes differentiated multi-channel data acquisition and specific rendering, and realizes the flow and traceability of intelligent system management and control information in the form of software, thereby providing real-time environment modeling and dynamic rendering, collaborative interaction for virtual environment construction and multi-person collaborative interactive training that meet user needs. BRIEF DESCRIPTION OF DRAWINGS

[0028] Figure 1 is a basic example diagram of the training terminal based on the intelligent simulation technology shown in the application;

[0029] Figure 2 is a basic example diagram of the interconnection relationship of the MR head function module in the training terminal based on the intelligent simulation technology shown in the application;

[0030] Figure 3 is an example diagram of the simulation controller in the training terminal based on the intelligent simulation technology claimed by the application;

[0031] Figure 4 is one of the training terminal simulation host related module embodiments based on intelligent simulation technology claimed by the present application;

[0032] Figure 5 is one of the specific embodiments of the intelligent simulation training terminal signaling system execution instruction interaction claimed by the present application. DETAILED DESCRIPTION

[0033] The following specifically describes several embodiments and advantages of the training terminal and method based on intelligent simulation technology claimed by the present application, in order to help to review and decompose the present application more carefully.

[0034] In order to better understand the technical solutions of the present application, the embodiments of the present application are described in detail below in combination with the drawings.

[0035] It should be clear that the described embodiments are only part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative labor belong to the scope of protection of the present application.

[0036] The terms used in the embodiments of the present application are only for the purpose of describing the specific embodiments, and are not intended to limit the present application. The singular forms "a", "said" and "the" used in the embodiments of the present application and the appended claims are also intended to include the plural forms, unless the context clearly indicates otherwise.

[0037] It should be understood that the term "and / or" used herein is only to describe the association relationship of the associated objects, which means that there can be three relationships, for example, A and / or B, which can represent the three cases of A alone, A and B together, and B alone. In addition, the character " / " in this paper generally represents that the front and rear associated objects are a "or" relationship.

[0038] It should be understood that although the terms first, second, etc. may be used in the embodiments of the present application to describe the methods and corresponding devices, these key words should not be limited to these terms. These terms are only used to distinguish the key words from each other. For example, without departing from the scope of the embodiments of the present application, the first component, the first module, etc. can also be called the second component, the second module, the second component, the second module, etc. can also be called the first component, the first module.

[0039] Depending on the context, the word "if" as used herein can be interpreted to mean "when" or "while" or "in response to determining" or "in response to detecting." Similarly, the phrase "if it is determined" or "if [a stated condition or event] is detected" can be interpreted to mean "upon determining" or "in response to determining" or "upon detecting [the stated condition or event]" or "in response to detecting [the stated condition or event]."

[0040] As shown in the accompanying drawings described in the specification, Figure 1 -attached drawings, Figure 5 As shown in the accompanying drawings described in the specification, a basic example of a training terminal based on intelligent simulation technology is shown. As a stackable preferred embodiment, each node or module can be interconnected with data and instruction transmission with other nodes or modules, of course, as another stackable preferred embodiment, some nodes may not have interconnection with some other nodes or can be allowed to close, open interconnection with other nodes.

[0041] As shown in the accompanying drawings described in the specification, Figure 1 -attached drawings, Figure 5 As shown in the accompanying drawings described in the specification, a basic example of a training terminal based on intelligent simulation technology is shown. As a stackable preferred embodiment, each node or module can be interconnected with data and instruction transmission with other nodes or modules, of course, as another stackable preferred embodiment, some nodes may not have interconnection with some other nodes or can be allowed to close, open interconnection with other nodes.

[0042] MR headsets, the MR headsets are provided with MR logic standardization fitting components and simulation cluster.

[0043] Simulation controller, the simulation controller is connected to the user as a simulated entity, providing an operating interface and force feedback, multi-controller control chain function.

[0044] Simulation host, provided with rendering center and multi-channel data interaction manager.

[0045] Intelligent simulation training terminal signaling system, in the form of information software, carries out simulation signaling interaction and traceability function.

[0046] As a stackable preferred embodiment, the MR logic standardization fitting component is used to perform fitting of MR configuration information and simulation standard logic, to realize MR bottom layer standard logic of the system in a single intelligent simulation training;

[0047] As another stackable preferred embodiment, the MR logic standardization fitting component is used to perform fitting of MR configuration information and simulation standard logic, to realize MR bottom-layer standard logic of the system in a single intelligent simulation training, specifically: the MR logic standardization fitting component includes an MR configuration static reading and dynamic fitting layer, which is used to read MR static configuration data of the system, and map the static configuration data to a dynamic fitting basic data structure body A in the form of a data vector for fitting standby; a standard logic pre-fitting layer, which receives simulation target requirements provided by the system, generates standard simulation logic, the standard simulation logic being the lowest simulation configuration requirement that presents MR simulation target requirements, and the standard logic pre-fitting layer maps the standard simulation logic to a dynamic fitting basic data structure body B in the form of a data vector for fitting standby; a logic fitting layer, which is used to multiplex the dynamic fitting basic data structure body A and the dynamic fitting basic data structure body B, specifically using fields in the dynamic fitting basic data structure body A to overwrite the same fields in the dynamic fitting basic data structure body B, to form fitting configuration set information, and applying the fitting configuration set information for display configuration of a dynamic MR head-mounted display.

[0048] The MR static configuration data is used to indicate display parameters and shielding parameters of real images in the process of combining real and virtual images of the MR head-mounted display, and to set virtual display parameters in the process of generating MR images. The above configuration parameters are static in a single simulation simulation. The dynamic fitting basic data structure body A and the dynamic fitting basic data structure body B are information data configuration sets for fitting pre-set by the system, including a plurality of configuration fields, for finally generating fitting configuration set information.

[0049] The simulation clusterer is used to establish a three-dimensional simulation array model in a simulation cluster established by a plurality of MR head-mounted displays, and to maintain cluster interrelationships with adjacent MR head-mounted displays, to realize dynamic migration of each MR head-mounted display in a multi-point simulation cluster.

[0050] As a stackable preferred embodiment, the simulation clusterer is used to establish a three-dimensional simulation array model in a simulation cluster established by multiple MR headsets and maintain the cluster relationship with adjacent MR headsets, and realize the dynamic migration of each MR headset in the multi-point simulation cluster. Specifically, the simulation clusterer joins the user cluster of a single simulation training task as a single MR headset node and is presented in the form of a specific node in the three-dimensional simulation array model. During the process, the simulation clusterer scans adjacent nodes, that is, nodes that have a secondary connection switching relationship and are within a first specific threshold distance, as adjacent nodes of the node, and maintains the cluster relationship with adjacent MR headsets, that is, whether they are adjacent nodes, whether there is information update, etc. At the same time, the simulation clusterer also updates the cluster position of the node in real time based on the displacement or scheduling in the simulation training process, and realizes the dynamic migration of each MR headset in the multi-point simulation cluster based on the updated node cluster position.

[0051] As a stackable preferred embodiment, the multi-controller control chain enables or disables the associated components in the simulation signaling mapping table based on the configuration signaling when the user configures a single simulation controller based on the set simulation signaling mapping table configuration information, and performs on-chain control and cooperative linkage of the associated components.

[0052] As a stackable preferred embodiment, the multi-controller control chain enables or disables the associated components in the simulation signaling mapping table based on the configuration signaling when the user configures a single simulation controller based on the set simulation signaling mapping table configuration information, and performs on-chain control and cooperative linkage of the associated components. Specifically, the terminal is preconfigured with a simulation signaling mapping table containing link configuration information for signaling transmission, and is provided with a mapping configuration of a specific associated component set of a specific simulation controller and a specific associated signaling or associated instruction. When the user configures a single simulation controller, if the configuration signaling contains a specific associated signaling or associated instruction, the on-chain control and cooperative linkage instruction is sent to the associated component set based on the signaling transmission link configuration information contained in the simulation signaling mapping table, instructing the associated component, that is, the associated simulation controller or device to perform cooperative operation. For example, as a simplest example only for explaining the function, the user can control the opening of the ammunition box and other operations through the simulation signaling mapping table preconfigured by the terminal when operating the simulation controller.

[0053] As a stackable preferred embodiment, the MR headset supports high-resolution display, spatial positioning, and gesture recognition, ensuring immersive experience and low-latency interaction.

[0054] The rendering center is used for collecting multi-channel concurrent rendering instructions of a multi-channel data interaction manager, and performing MR rendering, the multi-channel data interaction manager is used for collecting concurrent configuration requirements of multiple users and initial rendering instructions, providing instruction parameters for corresponding initial rendering instructions based on the configuration requirements, forming multi-channel concurrent rendering instructions for indicating different rendering effects for specific users.

[0055] As a stackable preferred embodiment, the simulation controller is specifically a on-duty sentry, including semi-physical simulation devices such as firearms, tools, on-duty operation tables, etc., and needs to have force feedback function to enhance the operation reality, and can be linked to control the opening of a bullet box and other operations.

[0056] As a stackable preferred embodiment, the simulation host computer includes a high-performance computing unit, which is used to meet the real-time rendering and multi-user concurrent requirements of complex scenes.

[0057] As a stackable preferred embodiment, the intelligent simulation training terminal signaling system supports a virtual environment engine, supports 1:1 restoration of real scenes, and can dynamically adjust lighting, weather and environment parameters.

[0058] As a stackable preferred embodiment, the terminal supports multi-user online training to realize tactical cooperation or team operation tasks.

[0059] At the same time, the application also proposes a computer device, including a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the program to realize the corresponding functions of the training terminal based on the intelligent simulation technology as described above.

[0060] At the same time, the application also proposes a computer program product, which contains computer instructions, and the computer instructions execute the corresponding functions of the training terminal based on the intelligent simulation technology as described above when running on the processor.

[0061] The application provides a training terminal based on intelligent simulation technology, which is used for large-scale exercise preview or training by combining MR technology and electronic sand table.

[0062] In all the above-mentioned embodiments, in order to realize some special data transmission, read / write function requirements, the above-mentioned method operation process and the corresponding device can increase the device, module, component, hardware, pin connection or memory, processor difference to expand the function.

[0063] Those skilled in the art can clearly understand that, for the convenience and brevity of the description, the specific working process of the above-described method, device and unit can refer to the corresponding process in the foregoing method embodiment, which will not be repeated here.

[0064] In the several embodiments provided in the present application, it should be understood that the disclosed system, device and method can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of the method steps is only a logical or functional division, and there can be another division manner in actual implementation, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the displayed or discussed mutual coupling or direct coupling or communication connection between each other can be indirect coupling or communication connection through some interface, device or unit, and can be electrical, mechanical or other forms.

[0065] The units described as various steps of the method, device separate components can or can not be logically or physically separated, and can not be physical units, that is, can be located in one place, or can also be distributed to multiple network units. According to the actual needs, some or all of the units can be selected to achieve the purpose of the embodiment scheme.

[0066] In addition, each method step in various embodiments of the present application and its implementation, functional units can be integrated in a processing unit, or each unit can be physically present alone, or two or more units can be integrated in one unit. The integrated unit described above can be realized in the form of hardware or in the form of hardware plus software functional units.

[0067] The above method and device can be realized in the form of integrated units of software functional units, and can be stored in a computer readable storage medium. The above software functional units stored in a storage medium include a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor to execute part of the steps of the method described in various embodiments of the present application. The aforementioned storage medium includes a variety of storage media that can store program codes, such as a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), an NVRAM, a magnetic disk or an optical disk.

[0068] The above is only the preferred embodiment of the present application, and is not intended to limit the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

[0069] It should be noted that: the above embodiments are only used to more clearly explain and describe the technical solutions of the present application, and are not intended to limit the present application; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A training terminal based on intelligent simulation technology, the terminal comprising a plurality of components: MR headsets provided with MR logic standardization fitting components and simulation clusterers; wherein MR logic standardization fitting components for performing fitting of MR configuration information and simulation standard logic, realizing MR underlying standard logic of the system in a single intelligent simulation training; MR logic standardization fitting components include MR configuration static reading and dynamic fitting layers for reading MR static configuration data of the system and mapping the static configuration data to a dynamic fitting basic data structure A in the form of a data vector for fitting standby; a standard logic pre-fitting layer receiving simulation target requirements provided by the system, generating standard simulation logic, which is the lowest simulation configuration requirement for presenting MR simulation target requirements, and mapping the standard simulation logic to a dynamic fitting basic data structure B in the form of a data vector for fitting standby; a logic fitting layer for multiplexing the dynamic fitting basic data structure A and the dynamic fitting basic data structure B, specifically using fields in the dynamic fitting basic data structure A to overwrite the same fields in the dynamic fitting basic data structure B, forming fitting configuration set information, and applying the fitting configuration set information for display configuration of the dynamic MR headsets; a simulation controller connected to users as a simulated entity, providing an operation interface and force feedback, and multi-controller control chain functions; a simulation host provided with a rendering center and a multi-channel data interaction manager; an intelligent simulation training terminal signaling system carrying simulation signaling interaction and traceability functions in the form of information software.

2. The training terminal based on intelligent simulation technology according to claim 1, wherein: the simulation clusterer is used to establish a three-dimensional simulation array model in a simulation cluster established by a plurality of MR headsets and maintain the interrelation with neighboring MR headset clusters, realizing dynamic migration of each MR headset in the multi-point simulation cluster.

3. The training terminal based on intelligent simulation technology according to claim 1, wherein: the multi-controller control chain is based on the simulation signaling mapping table configuration information, when a user configures a single simulation controller, based on the configuration signaling, enables or disables the associated components in the simulation signaling mapping table, and performs on-chain control and cooperative linkage of the associated components.

4. The training terminal based on intelligent simulation technology according to claim 2, wherein: the MR headset supports high-resolution display, spatial positioning, and gesture recognition, ensuring immersive experience and low-latency interaction; the rendering center is used to collect multi-channel concurrent rendering instructions of the multi-channel data interaction manager, and perform MR rendering, and the multi-channel data interaction manager is used to collect concurrent configuration requirements and initial rendering instructions of multiple users, provide instruction parameters for the corresponding initial rendering instructions based on the configuration requirements, form multi-channel concurrent rendering instructions for indicating different rendering effects for specific users.

5. The training terminal based on intelligent simulation technology according to claim 4, wherein: The simulation controller is specifically a on-duty post, including a gun, a tool, a on-duty operation table semi-physical simulation device, has force feedback function to enhance the operation reality, can linkage control bullet box opening operation. 6.The training terminal based on intelligent simulation technology according to claim 5, wherein: The simulation host includes a high-performance computing unit for meeting the real-time rendering and multi-user concurrent requirements of complex scenes. 7.The training terminal based on intelligent simulation technology according to claim 4, wherein: The intelligent simulation training terminal signaling system supports a virtual environment engine, supports 1:1 restoration of real scenes, and can dynamically adjust lighting, weather, and environmental parameters. 8.The training terminal based on intelligent simulation technology according to claim 7, wherein the terminal supports multi-user online training to achieve tactical coordination or team operation tasks.

9. A computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor executes the program to implement the corresponding functions of the training terminal based on intelligent simulation technology according to any one of claims 1-8. 10.A computer program product, comprising computer instructions for implementing the corresponding functions of the training terminal based on intelligent simulation technology according to any one of claims 1-8 when executed by a processor.

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