CN116051319A - Tactical collaborative combat simulation training system and tactical collaborative combat simulation training method - Google Patents

Abstract

The invention relates to a tactical collaborative combat simulation training system and a tactical collaborative combat simulation training method. From the zero architecture, the system is divided into an infrastructure layer, a simulation resource layer, a public service layer, a functional module layer and an application research layer; the functional module layer comprises a training course design node, a director conditioning node, a comprehensive management and control node, a training evaluation node, a combat planning node, a combat situation node, a combat resource simulation node, an individual simulation training node, a semi-physical simulation equipment node, a motion capturing node, a network support node and a training calculation support node; the infrastructure layer comprises network support setting, training calculation support equipment, storage and transportation integrated equipment and training supporting facility equipment; from the combat simulation modeling, a model system comprising an environment simulation model, a simulation entity model and a military concept model is constructed. The invention has important supporting function for tactical collaborative training of army teams and deduction of combat schemes.

Description

Tactical collaborative combat simulation training system and tactical collaborative combat simulation training method

Technical Field

The invention belongs to the field of military tactics collaborative simulation training, and particularly relates to a tactics collaborative combat simulation training system and method.

Background

At present, tactical collaborative combat training means are relatively single, most basic professional training and command operation training are carried out, tactical resistance training under the combined combat background is seriously lost, urgent requirements of actual combat training cannot be met, and although actual soldier practical training can well solve the problem, the defects of difficult organization implementation, long preparation period, high training cost, high risk coefficient and the like exist. With the rapid development of computer technology, especially virtual reality technology and modeling simulation technology, an effective brand new means is provided for developing tactical resistance training by constructing a virtual battlefield environment close to actual combat and a state of friend-foe combat and endowing trained personnel with enough and real immersion.

Disclosure of Invention

In order to overcome the above problems in the prior art, the present invention provides a tactical collaborative combat simulation training system and method for solving the above problems in the prior art.

A tactical collaborative combat simulation training system adopts a layered service-oriented architecture to divide a system framework into an infrastructure layer, a data resource layer, a public service layer, a functional module layer and an application research layer:

the infrastructure layer is used for providing simulated training hardware facility environment support for completing various tactical collaborative training tasks;

the simulation resource layer is arranged on the infrastructure layer and is used for storing and managing various models and data resources of simulation training;

the public service layer is arranged on the simulation resource layer and is used for providing various public services when the system is simulated;

the function module layer is arranged on the public service layer and is used for providing various functions required by the system in simulation;

the application research layer is arranged on the functional module layer and is used for providing a training mode when the system is simulated.

In the aspect and any possible implementation manner described above, the various models and data resources of the simulated training of the simulation resource layer include training planning data, training scene data, training process data, training performance data, training personnel information, equipment performance data, army personnel formation data, simulation rule data, battlefield environmental data, combat simulation model, assessment index model, motion capture model and three-dimensional visualization model.

The common services layer includes tactical simulation engines, specialized support software tools, geographic information systems, and simulation interconnection middleware based on the UE4, including tactical model services, performance computing services, time management services, message distribution services, entity management services, coordinate conversion services, simulation monitoring services, data acquisition services, simulation logging services, desired analysis services, battlefield environmental services, military plotting volume calculation services, and data interface services, as described above in aspects and any possible implementation.

In the functional module layer, the simulation training includes a training course design node, a director conditioning node, a comprehensive management node, a training evaluation node, a combat situation node, a combat resource simulation node, an individual simulation training node, a semi-physical simulation equipment node, a motion capture node, a network support node, and a training calculation support node.

In the aspects and any possible implementation manner, the training course design node designs and customizes a training scene according to training requirements, performs battlefield environment construction, sets basic parameter setting, task action planning and automatically generates a training task description file;

The director conditioning node provides data distribution and simulation time management support, and performs action guiding and adjustment, virtual army action and state guiding and adjustment, battlefield environment guiding and adjustment, addition and deletion of supporting army operation, and monitoring operation on battlefield situation, battlefield damage, ammunition consumption and training node state in the training process;

the comprehensive management and control node is used for training data and managing the training nodes, verifying identity information of management personnel and rejecting illegal users to log in; management information data, model data, training results, and army configuration data; performing backup and restore operations on various training data; simulating the voice command issuing and guiding the supporting force of the trained team;

the training evaluation node is used for quantitative evaluation, qualitative judgment, comprehensive evaluation and historical training score comparison analysis, and evaluates the scores of individuals and teams respectively;

the combat plan planning node is used for carrying out combat plan planning and command decision-making;

and the battle situation node provides battle field situation autonomous roaming observation and simulation entity state information viewing, weapon force multi-view monitoring, battle fruit loss ammunition consumption statistical record display and multiple disc playback in the training process.

The aspects and any possible implementation manner described above, the individual soldier simulation training node is configured to provide audiovisual display, positioning, motion sensing and tracking man-machine interaction functions for trained personnel;

the semi-physical simulation equipment node comprises semi-physical equipment, and provides simulated weapon equipment capable of being interactively operated for trained personnel;

the motion capture node is used for identifying and simulating and reproducing tactical motions of trained personnel in a virtual battlefield environment, identifying the position and the gesture of the semi-physical simulation simulator and realizing calculation and reconstruction of the motions and the gestures.

In the aspect and any possible implementation manner, the basic model system in the simulation resource layer comprises an environment simulation model, a simulation entity model and a military concept model, wherein the environment simulation model is used for simulating terrain, vegetation and weather in a battlefield environment; the simulation entity model is used for simulating the behaviors of the man-in-the-loop entity and the computer generated weapon entity and the combat effectiveness; the military concept model is used for combat planning, training and evaluation.

In accordance with aspects and any one of the possible implementations described above, the environment simulation model provides a simulated battlefield environment and provides computational analysis, data support and interaction interfaces for simulating interactions between the battlefield environment and the combat actions and effects of the weapon equipment;

The simulation entity model is used for simulating the behaviors and combat effectiveness of simulation personnel and simulation equipment;

the military concept model is used for defining actions and triggering conditions taken by an entity when the entity performs a combat task and interaction relation with the external environment, and evaluating the effect of military operation completion in a quantitative and qualitative mode.

The invention also provides a tactical collaborative combat simulation training method which is realized by adopting the tactical collaborative combat simulation training system and at least comprises three training modes of red-red countermeasure, combined red-blue countermeasure and independent red-blue countermeasure.

In accordance with aspects and any one of the possible implementations described above, the red-red challenge includes the steps of:

(1) A guide evaluation seat for starting a director conditioning node selects training courses;

(2) Adding combat plan of two training sites through combat plan nodes after entering a training scene;

(3) 2 trained team members conduct pre-training combat planning in respective training sites;

(4) Starting the motion capture nodes of two training sites respectively after the combat is completed;

(5) 2 trained team members wear training equipment in respective training sites and stand to a designated motion capture position for posture calibration;

(6) The director conditioning node adds each individual soldier simulation training node and the combat situation nodes of the two sites into a training scene;

(7) Starting training and starting a simulation process, and collecting the positions and the postures of trained personnel and a semi-physical simulation simulator by the action capturing system; training personnel execute training content by controlling the semi-physical simulation equipment, and record entity state, ammunition quantity and combat damage key data in the training process;

(8) After training, the 2 trained team members perform multiple playback and watching at director conditioning nodes in the respective training sites.

The beneficial effects of the invention are that

Compared with the prior art, the invention has the following advantages:

the tactical collaborative combat simulation training system takes the difficult problems of tactical training and combat training as the demand guide, takes the tactical countermeasure capability and collaborative combat capability of the combat units of the scale below the lifting team as the target key point, takes the basic requirements of rapid and flexible group training, vivid battle environment, complete combat elements, reliable model data and strong immersion effect, comprehensively utilizes the technologies such as virtual reality, modeling simulation, artificial intelligence, motion capture, system integration and the like to construct a tactical collaborative combat simulation training supporting environment, can be used as the guiding basis for developing and using the tactical collaborative combat simulation training system, develops the simulation training oriented to typical tactical actions, and provides technical support for improving the team combat training system and lifting the troop. The system has good application prospect in tactical collaborative training of army teams, deduction of battle schemes and the like.

Drawings

FIG. 1 is a schematic architecture diagram of a simulated training system according to the present invention;

FIG. 2 is a schematic diagram of the physical composition nodes of the functional module layer of the present invention;

FIG. 3 is a schematic diagram of a data interface in a simulated training system of the present invention;

FIG. 4 is a diagram of blue party personnel behavior logic;

FIG. 5 is a schematic diagram of red fight in accordance with the present invention;

FIG. 6 is a schematic diagram of the combined red and blue countermeasure of the present invention;

FIG. 7 is a diagram of blue challenge according to the present invention;

FIG. 8 is a schematic diagram of a connection mode of nodes of the functional module layer according to the present invention.

Detailed Description

For a better understanding of the present invention, the present disclosure includes, but is not limited to, the following detailed description, and similar techniques and methods should be considered as falling within the scope of the present protection. In order to make the technical problems, technical solutions and advantages to be solved more apparent, the following detailed description will be given with reference to the accompanying drawings and specific embodiments.

It should be understood that the described embodiments of the invention are only some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.

As shown in fig. 1: the invention relates to a tactical collaborative combat simulation training system design method, which adopts a layered service-oriented technical architecture to divide a system framework into an infrastructure layer, a simulation resource layer, a public service layer, a functional module layer and an application research layer in order to embody standardized, modularized and generalized design ideas, wherein the infrastructure layer is used for providing simulation training hardware facility environment support for completing various tactical collaborative training tasks;

the simulation resource layer is used for storing and managing various models and data resources of simulation training, is deployed on the infrastructure layer and provides data support for the functional module layer and the public service layer;

the public service layer provides various public services for the operation of the simulation system, is deployed on the infrastructure layer and provides a bottom layer software support for the functional module layer;

The function module layer is used for providing specific modules for running various applications, is deployed on the infrastructure layer, and realizes specific software functions of the simulation system through data support provided by the simulation resource layer and software bottom layer capability provided by the public service layer;

the application research layer provides selectable training modes, and the simulation training application is provided through the functional module layer and the infrastructure layer. The simulation resource layer, the public service layer, the functional module layer and the application research layer are all arranged on the infrastructure layer and are arranged layer by layer, namely the infrastructure layer, the simulation resource layer, the public service layer, the functional module layer and the application research layer are sequentially arranged, and specifically:

the infrastructure layer in the system consists of a computer, network equipment, input and output equipment, semi-physical simulation equipment, motion capture equipment and matched storage and transportation integrated equipment, and provides simulation training environment support for completing various tactical collaborative training tasks. The system comprises a computer, a network device, an input/output device, a semi-physical simulation device, a motion capture device, a system node, a computer equipment operation input and voice input/output device, a semi-physical simulation device and a storage and transportation integrated device, wherein the computer is used for carrying simulation system software, the network device is used for connecting the system computer node, the input/output device is used for computer equipment operation input and voice input/output, the semi-physical simulation device is used for providing simulated weapon equipment capable of being interactively operated for trained personnel, the motion capture device is used for collecting and reproducing the positions and the postures of the trained personnel and the semi-physical simulation device, and the storage and transportation integrated device is used for carrying, storing and transporting the system equipment;

The simulation resource layer in the system takes training calculation supporting equipment in the infrastructure layer as a carrier, stores and manages various models and data resources for simulation training, and comprises training planning data, training scene data, training process data, training achievement data, training personnel information, equipment performance data, weapon force formation data, simulation rule data, battlefield environment data, combat simulation model, evaluation index model, motion capture model, three-dimensional visualization model, system equipment information and the like;

the public service layer in the system is the core of the whole system framework and mainly comprises a tactical simulation engine, a professional support software tool and simulation interconnection middleware based on UE4, and the training and calculation support equipment running on the infrastructure layer provides various public services for the system operation, such as tactical model service, efficiency calculation service, time management service, message distribution service, entity management service, coordinate conversion service, simulation monitoring service, data acquisition service, simulation log service, analysis wanted service, battlefield environment service, military plotting volume calculation and data interface service and the like;

the function module layer in the system provides various application running specific modules for the system to develop simulation training, and the functions of training management control, battle scheme planning, virtual weapon force simulation, individual wearing training, semi-physical equipment simulation, personnel action capturing, battlefield situation display, data record playback, training analysis and evaluation and the like are mainly realized through the infrastructure layer training network supporting equipment, the training calculation supporting equipment and the training matched facility equipment;

The application research layer in the system provides two selectable training modes, including red-blue contrast training (man-machine contrast) and red-red contrast training (man-machine contrast), each of which is further divided into tactical action specific simulation training and tactical action full-flow simulation training.

In the present invention, the tactical collaborative combat simulation training system is designed as a distributed simulation system, as shown in fig. 2: the functional module layer is decomposed into including training course design node, director's conditioning node, comprehensive management and control node, training evaluation node, combat plan node, combat situation node, combat resource simulation node, individual soldier simulation training node, semi-physical simulation equipment node, motion capture node, network support node, training calculation support node, warehousing and transportation integration equipment and training supporting facility equipment in the aspect of the physical bearing structure is constituteed, wherein:

the training course design node mainly utilizes basic resources such as a battlefield environment model, a weapon power equipment model and the like provided by the system to design and customize a training scene according to training requirements. The training course design node can be used for constructing a battlefield environment; setting basic parameters; planning task actions; automatically generating a training task description file; the training course design node mainly performs functions of battlefield environment construction, weapon equipment configuration, mission action planning and the like. The training course design node can select a virtual battlefield environment built in the system according to the training task requirement, can edit and save the terrain, can complete the layout of three-dimensional models of environments such as work obstacles, building facilities, roads, bridges, vegetation and the like required by the training scene, and can set the position and the orientation of the models; the method can set the initial time of fight and is associated with the daytime elements such as day, night, dawn, dusk and the like, and can simulate the sun position and angle in a virtual battlefield according to longitude and latitude coordinates of a simulation region, so that the three-dimensional shadow rendering effect basically accords with the actual situation of the fight region; weather elements such as yin, sunny, rainy, snowy, foggy, wind, dust and the like can be arranged; parameters such as energy domain, frequency domain, time domain, space domain and the like of the electromagnetic environment of the combat zone can be set, and a plurality of electromagnetic interference points can be supported; task parameters such as a combat zone, combat targets, enemy conditions, personnel grouping and equipment, combat time limit, action plan and the like can be set; the weapon force braids of the two opposing parties can be set, and the initial position of the participant in the scene can be set; equipment configuration can be set, and all weapons which can be used in the training course can be selected in a centralized manner from weapons arranged in the system; basic parameters of training lessons can be set, including countermeasure mode (red blue/red), task mode (special/full flow), action type, task code number, etc.; the blue party computer can be preset to generate action tasks of the force, and the action tasks can be triggered by parameters such as time, events and the like; conditions for automatically ending the training task can be set, wherein the ending conditions comprise duration, enemy mortality and own mortality and can be set by combining with or with the conditions; a training task description file can be generated; the training course data can be classified and stored according to the course basic data and stored in a system database.

The director conditioning node of the functional module layer mainly provides data distribution and simulation time management support for system distributed interconnection; the system can conduct red side action guiding and adjusting, virtual army action and state guiding and adjusting, battlefield environment guiding and adjusting, adding and deleting supporting army force guiding and adjusting operations and the like; the method can monitor the battlefield situation, battlefield damage, ammunition consumption, training node state and the like in the training process; the director conditioning node mainly realizes the functions of distributed interconnection, guiding and adjusting intervention, training process monitoring and the like; the middleware can flexibly operate the addition and kick-out of each training seat, and provide data support for monitoring the node state of each training seat in the monitoring of the training process; in the training process, a guiding and adjusting instruction can be issued to appointed trained personnel in a voice mode; the voice communication content between trained personnel and between the trained personnel and the group training seats can be monitored in real time; in the training process, the weather conditions can be adjusted in real time, the time of day can be adjusted in real time, and the electromagnetic environment parameters can be adjusted in real time; red party supporting force entities and blue party force entities can be added/deleted, and entity tasks can be set when the entities are added; the method can guide and adjust the task type and the capability level of generating the weapon force by the blue party computer, can adjust the state of the weapon force entity, comprises the adjustment of the position and the orientation of the weapon force entity and the adjustment of the fight force state of personnel, and can adjust the weapon equipment model number of the weapon force entity and the ammunition quantity of weapon equipment in real time; training lessons corresponding to the task mode, the countermeasure mode and the action type can be selected according to the training plan requirements, and training activities are newly established; the simulation running state of the simulation training system can be controlled, and the simulation running state comprises functions of starting simulation, suspending and continuing, breakpoint saving, breakpoint resuming, finishing simulation and the like; the data of fight fruits, fight losses, ammunition consumption and the like of the fight parties can be checked;

The comprehensive management and control node of the functional module layer is mainly used for training data and training node management, verifying identity information of a manager and rejecting an illegal user to log in; information data such as parameter training equipment, parameter training personnel, training plans and the like are managed; managing model data such as an environment entity model, a force equipment entity model and the like; managing training results, army compilations and other data; performing backup and restore operations on various training data; the simulated red party superior command post gives a voice command to the trained team and guides the support force. In addition, the node is also used for performing remote shutdown, restarting and other operations of the computer; the comprehensive management and control node is mainly used for verifying the identity information of a system manager, the equipment information of a management group training seat computer, the management parameter training equipment information, the distribution trained personnel training equipment, monitoring the basic state (operation, connection state and abnormal prompt alarm) of each parameter training seat node in the system, monitoring the wearable equipment (operation, connection state and abnormal prompt alarm) of the trained personnel, performing remote operation (restarting and shutdown) on the computer (the group training seat computer and the knapsack computer), backing up and restoring training data, managing virtual battlefield geographic environment data, managing environment entity models, managing force equipment entity models, managing training plans, managing force equipment data, managing parameter training personnel information, historical force inquiry, managing force equipment data, modifying and deleting, simulating voice command issuing, guiding supporting force and supporting single node software of the trained team;

The training evaluation node of the functional module layer is an important tool for performing training multiplex analysis and evaluation, and is mainly used for quantitative evaluation, qualitative judgment, comprehensive evaluation and historical training score comparison analysis, and supports the evaluation of the scores of individuals and teams respectively; the training evaluation node is mainly used for the functions of index system management, analysis evaluation, battlefield situation playback, historical score comparison and the like, can be used for carrying out new-built index systems, carrying out new-built team quantitative index systems according to training subjects and training scenes, carrying out team qualitative index systems, carrying out role quantitative evaluation index systems in training, and carrying out role qualitative evaluation index systems; the method can be used for data evaluation after training, and related training data acquired in the training process are automatically and quantitatively evaluated by means of an evaluation index system; the subjective judgment scoring can be performed by carrying out data review through data playback; finally, comprehensive evaluation is carried out according to the training performance and the technical and tactical completion condition, and an evaluation report can be generated according to the training data and the evaluation data; the training process can be checked in a two-dimensional and three-dimensional mode, and statistical information such as battlefield situation, battlefield damage, battlefield fruit, consumption and the like at any moment can be checked in the process of the re-disc; visual comparison can be carried out on the historical performances of the teams and the individual soldiers;

The fight planning node of the functional module layer is a technical support tool for ensuring 'no fight without preparation', and is mainly used for providing training task detail inquiry, battlefield environment browsing, enemy army force and equipment configuration information viewing, own fight resolution planning, own army force grouping, equipment configuration and other core functions for trained personnel, and node software runs on important nodes after training scene determination and before simulation training is started and is used for fight scheme planning and command decision-making; the combat planning node is mainly used for a commander of a trained team and a small team to carry out combat planning according to a task background given by a system. The commander relies on the tool to receive tasks, judge conditions, draw resolution and draw plans, and form action basis for implementing subsequent combat. The system can check training tasks, battlefield geographic environments and the like, browse the battlefield geographic environments in a two-dimensional and three-dimensional combined mode, perform battlefield space roaming, and realize operations such as map amplification, map shrinkage and the like; the system can support a trained commander (or a small captain) to describe combat resolution in the form of graphics, characters and the like and plot an action scheme; the two-dimensional action map can be drawn, and battlefield geographic information measurement and calculation functions such as distance measurement, angle measurement and area calculation are provided; the training system can flexibly group according to tasks, determine the task roles of personnel, allocate different equipment for each trained personnel according to the needs and set the ammunition quantity; the special combat action overall plan and the cooperative plan can be generated, and the generated plan document can be modified, perfected and saved; the fight planning result can be submitted to the director conditioning node; can count the data of war, war loss and ammunition consumption of the opposite parties in real time, and supports classification statistics according to the grade

The combat situation node of the functional module layer mainly provides the functions of training organization personnel, evaluation personnel and sightseeing personnel for the statistical record display, repeated playback and the like of the battlefield situation autonomous roaming sightseeing and simulation entity state information viewing, weapon force multi-view monitoring, battle loss ammunition consumption and the like in the training process; the battle situation node mainly provides the functions of training organization personnel, evaluation personnel and observation personnel for the statistical record and display of battle field situation autonomous roaming observation and simulation entity state information viewing, weapon force multi-view monitoring, war fruit war loss ammunition consumption and the like in the training process. The system can be used for autonomous viewing and roaming of the battlefield, supports real-time azimuth display of the battlefield, and supports map dragging and zooming-in and zooming-out of the view; the method can display two-dimensional battlefield situations in real time, the plotted labels meet the requirements of related regulations, detailed information of the weapon entity can be inquired and displayed in the two-dimensional situations, and the information types comprise position speed, damage degree, ammunition allowance, personnel injury and the like; the three-dimensional battlefield situation can be displayed in real time, and the detailed information of the 'man-in-the-loop' simulation entity can be displayed in real time, wherein the information types comprise the name, the role, the position, the carried weapon type, the ammunition type, the allowance, the injury, the fatigue degree and the like of trained personnel; the head portraits of the 'person-in-the-loop' simulation entity trained personnel can be displayed in real time; the visual angle tracking can be performed on the appointed weapon entity; the system can support the simultaneous monitoring of the view angles of a plurality of military entities and support the switching of the view angles of a first person and a third person;

The combat resource simulation node of the functional module layer is mainly used for simulating a virtual battlefield environment, simulating sound and special effects of the battlefield environment, simulating typical equipment and typical actions of supporting the force of the military in the red party and simulating the typical equipment and typical actions of the force of the military in the blue party based on the digital simulation model; the combat resource simulation node is mainly used for simulating a virtual battlefield environment, simulating sound and special effects of the battlefield environment, simulating typical equipment and typical actions of supporting the force of the red party based on a digital simulation model, and simulating the typical equipment and the typical actions of the force of the blue party; the method can construct a virtual battlefield with a single region area not less than 100 square kilometers according to real geographic information data, the elevation resolution in the virtual battlefield environment is not less than 3 meters, the geographic coordinate resolution is not less than 0.3 meter, and the battlefield environment covers typical terrains such as islands, desert gobi, highland mountain areas, mountain jungles and the like; the method can provide an immersive virtual battlefield environment for simulation training, and mainly comprises a geographic environment, a astronomical environment, a meteorological environment, an electromagnetic environment and a humanoid environment; the geographic environment types include mountain areas of highland, jungle mountain areas, rivers, oceans, sky; the day-time environment encompasses day, night, dawn, and dusk; weather conditions cover yin, sunny, rainy, snowy, foggy, wind, and dust; the humane environment encompasses villages, towns, bridges, roads, buildings, work, and obstacles; electromagnetic environment simulation can be performed by setting virtual electromagnetic environment parameters, and the simulation result influences the red party communication effect; the method can embody the influence of environmental conditions and changes thereof on simulation entities, support the dynamic changes of meteorological conditions and support the dynamic influence of tactical actions on terrains; the system can provide various types of battlefield sounds including light weapon shooting, grenade explosion, helicopter low-altitude flight, strong-impact aircraft near-air flight, airborne missile (rocket projectile) launching and explosion, vehicle running, vehicle-mounted gun shooting and the like; the visual special effects of different types of ammunition hit targets such as a bullet, a grenade, a rocket projectile, a armor piercing projectile, a armor breaking projectile and the like are provided; simulating red equipment in a mode of combining semi-physical equipment simulation and virtual equipment simulation; the computer can be used for generating an army force mode to simulate the red square support army force, and the computer is mainly used for simulating an upper command post, a guided combat platform and a remote conveying platform, wherein the simulation granularity is a single combat platform; the intelligent arming system can adopt a computer to generate an arming mode, simulate arming, equipment and actions of a main fighter, and the personnel action types comprise warning, patrol, reconnaissance monitoring, close-range fight, fire pursuit, reverse impact and the like, the equipment types comprise light weapons, mortars, tanks, infantry combat vehicles, light armored vehicles, helicopters and reconnaissance detection equipment, can support the hierarchical setting of the intelligent level of the blue arming, and can adjust the shooting precision and reconnaissance capability of the blue arming through the setting of the level, so as to provide the trained personnel with the simulated opponents which gradually evolve from easy to difficult;

The individual soldier simulation training node of function module layer mainly used provides man-machine interaction functions such as audio-visual sense display, location, action perception and tracking for red side trained personnel, and individual soldier simulation training node contains simulation individual soldier and takes the outfit to equip, mainly used takes the individual soldier wearing formula training equipment, bears VR glasses, knapsack computer, moves equipment such as catching sensor, battery, force feedback, hand lay and the simulator of hand lay receiver.

The semi-physical simulation equipment nodes of the functional module layer comprise semi-physical equipment such as gun simulators, multifunctional handles and universal control terminals, and provide approximate and interactive simulated weapon equipment for trained personnel, and are used for simulating typical combat equipment of army and realizing operation signal communication of the semi-physical simulators; the individual soldier simulation training node is mainly used for providing man-machine interaction functions such as visual and audio visual display, positioning, action perception and tracking for red side trained personnel, and comprises equipment for simulating individual soldiers to carry the individual soldiers, and is mainly used for carrying individual soldier wearing type training equipment, carrying equipment such as VR glasses, a backpack computer, a dynamic capture sensor, a battery, force feedback, a grenade, a transmitter-receiver simulator and the like. The individual soldier simulation training node is mainly used for providing man-machine interaction functions such as visual and audio visual display, positioning, action perception and tracking for red side trained personnel, and comprises equipment for simulating individual soldiers to carry the individual soldiers, and is mainly used for carrying individual soldier wearing type training equipment, carrying equipment such as VR glasses, a backpack computer, a dynamic capture sensor, a battery, force feedback, a grenade, a transmitter-receiver simulator and the like.

The functional module layer motion capture node comprises motion capture equipment and hand motion tracking equipment, and is mainly used for identifying and simulating basic tactical motions such as walking, running, jumping, kicking, squatting, standing, turning, reversing, moving, lying, creeping, operating aiming, throwing, beating, sign language and the like of repeated trained personnel in a virtual battlefield environment, identifying the position and the gesture of a semi-physical simulation simulator, and realizing calculation and reconstruction of the motion and the gesture; the positioning posture data of the head, the back, the big arm, the forearm, the thigh, the calf, the hand and the foot of the trained personnel can be collected, and the trained personnel can be supported to freely move in the positioning space and 1:1, driving simulation in real time;

the network support node mainly comprises a network switch, an industrial router, a network cable and the like, and provides an interconnection hardware support environment for distributed simulation training;

the training calculation support node mainly comprises a server, a workstation, a display and a display large screen, and provides a hardware support environment for calculation and display for simulation training. The connection manner of each node in the functional module layer is shown in fig. 8.

The infrastructure layer storage and transportation integrated equipment mainly comprises an individual VR wearing equipment storage and transportation box, a semi-physical simulation equipment storage and transportation box and the like, is used for placing part of hardware equipment in the training, storage and transportation processes, and provides a certain protection effect for the equipment;

The supporting facility equipment of infrastructure layer training mainly includes driving camera installing support, individual soldier wearing equipment stores pylon, microphone, audio amplifier, desk chair, supply socket, sightseeing seat etc..

The information flow in the combat simulation training system is a data flow which is generated by each parameter training person and the group training seat system in the combat simulation process and transmitted between each node of the system through a physical network, and the information flow contains a large amount of control information besides various effective data, and a data interface in the simulated training system is shown in the following figure 3.

The data interface information descriptions in fig. 3 are shown in the following table:

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in the invention, the combat simulation training system constructs a three-dimensional environment simulation model, a computer generated weapon force simulation model and a combat plan, training and evaluating model according to the simulation resource layer environment simulation data, the simulation entity data and the military concept model, and concretely:

the environment simulation model mainly builds a geographic environment model, a meteorological environment model, an artificial battlefield environment model and a sound special effect model, and builds a virtual battlefield with a single region area not smaller than 100 square kilometers according to real geographic information data, wherein the battlefield environment covers typical terrains such as islands, desert gobi, highland mountain areas, mountain jungles and the like; providing an immersive virtual battlefield environment for simulation training, wherein the immersive virtual battlefield environment mainly comprises a geographic environment, a astronomical environment, an electromagnetic environment and a humanoid environment; the geographic environment types include mountain areas of highland, jungle mountain areas, rivers, oceans, sky; the day-time environment encompasses day, night, dawn, and dusk; weather conditions cover yin, sunny, rainy, snowy, foggy, wind, and dust; the humane environment encompasses villages, towns, bridges, roads, buildings, work, and obstacles; an electromagnetic environment simulation model, wherein the simulation result influences the red party communication effect; the influence of environmental conditions and changes thereof on simulation entities is reflected, the dynamic changes of meteorological conditions are supported, and the dynamic influence of tactical actions on topography is supported; the sound special effect model comprises a plurality of types of battlefield sounds such as light weapon shooting, grenade explosion, helicopter low-altitude flight, strong-impact aircraft near-air flight, airborne missile (rocket projectile) launching and explosion, vehicle running, vehicle-mounted gun shooting, vehicle-mounted machine gun shooting and the like; and the ammunition of different types such as a bullet, a grenade, a rocket projectile, a armor piercing projectile and a armor breaking projectile hits the target with special visual effects.

The simulation entity model mainly comprises a man-in-the-loop weapon force simulation entity and a computer generated weapon force simulation entity. The 'man-in-the-loop' force simulation module mainly receives input signals of the individual wearable virtual training equipment, controls the 'virtual avatar' behaviors in the simulation system, outputs simulation results to the individual wearable virtual training equipment, realizes simulation and interaction of the red-side semi-physical simulation equipment and the virtual simulation equipment, provides visual hearing, voice communication, space positioning, action perception, equipment control and other man-machine interaction functions and training experience effects for red Fang Shouxun fighter, and simulates and reproduces the positions, actions and the like of the red Fang Te fighter in a virtual scene. The computer is used for generating an army force mode to simulate the army force of red parties such as an fight platform, a remote conveying platform and the like, and the army force, equipment and actions of main fight opponents and the behaviors of non-fighter personnel such as citizens and non-government organization personnel are mainly achieved, and a logic diagram of the behaviors of blue party personnel is shown in the following figure 4.

The military concept model mainly describes actions and trigger conditions (or principles) taken by an entity when the entity performs a combat task and interaction relation with the external environment, and evaluates the effect of military operation completion in a quantitative and qualitative manner.

The invention also provides a tactical collaborative combat simulation training method which is realized by adopting the tactical collaborative combat simulation training system, and comprises red and blue combat (man-machine combat) simulation training and red and blue combat (man-machine combat) simulation training. The red and blue countermeasure is simulated and trained by the real soldiers in an independent grouping and free countermeasure mode, and the maximum scale is 12 people to 12 people red and blue countermeasure; the red-blue countermeasure can be divided into combined red-blue countermeasure and independent red-blue countermeasure, the maximum scale of the combined red-blue countermeasure is not less than 25 people, 2 teams are supported by 1 even command seat, and the independent red-blue countermeasure is used for two teams (12 people each) to develop different lessons training simultaneously.

The invention divides the operation flow of the combat simulation training method into the following basic steps according to the training mode:

1. red fight, as shown in fig. 5, includes:

(1) Starting director conditioning nodes to select red and red countermeasure training courses, and opening corresponding training simulation scenes in a simulation resource layer;

(2) After entering a training scene, connecting combat planning nodes of two training sites through interconnection middleware, and carrying out equipment allocation, task acquisition and other planning contents by 2 trained team members in the respective training sites through combat planning software according to training scene requirements;

(3) Starting the motion capture nodes of the two training sites respectively after the combat is finished, and preparing for posture calibration for trained personnel;

(4) 2 trained team members wear training equipment in respective training sites and stand to a designated motion capture position to put out a calibration gesture, and wait for the team members to finish gesture calibration through the motion capture nodes;

(5) The director conditioning nodes are connected with each individual soldier simulation training node and the combat situation nodes of the two sites through interconnection middleware, and are added into a training scene to prepare for starting training;

(6) Starting training through the director conditioning node, starting a simulation process, collecting positions and postures of trained personnel and a semi-physical simulation simulator by the action capturing system, executing training contents by the trained personnel through controlling the semi-physical simulation equipment, and recording training key data such as entity states, ammunition quantity, war damages and the like by system software in the training process;

(7) After training, 2 trained team members can load training key data recorded by director conditioning nodes in the combat situation nodes in the respective training sites to carry out two-dimensional and three-dimensional compound playback on the training process, and statistical information such as combat situations, combat losses, combat fruits, ammunition consumption and the like at any moment can be checked in the compound playback;

(8) And qualitatively and quantitatively scoring trained personnel and teams according to the combat loss, combat fruits and ammunition consumption information recorded in training through the training evaluation nodes according to evaluation indexes selected by training lessons.

2. In combination with red-blue antagonism, as shown in FIG. 6, includes

(1) Starting director conditioning nodes to select red and blue countermeasure training courses, and opening corresponding training simulation scenes in a simulation resource layer;

(2) After entering a training scene, connecting fight planning node software in a training field A through interconnection middleware, and carrying out equipment allocation, task acquisition and other planning contents by 2 trained team members in the training field A according to the training scene requirement through the fight planning software;

(3) Starting the motion capture nodes of the two training sites respectively after the combat is finished, and preparing for posture calibration for trained personnel;

(4) 2 trained team members wear training equipment in respective training sites and stand to a designated motion capture position to put out a calibration gesture, and wait for the team members to finish gesture calibration through the motion capture nodes;

(5) The director conditioning nodes are connected with each individual soldier simulation training node and the combat situation node in the training field A through the interconnection middleware, and the individual soldier simulation training nodes and the combat situation node in the training field A are added into a training scene to prepare for starting training;

(6) Starting training through the director conditioning node, starting a simulation process, collecting positions and postures of trained personnel and a semi-physical simulation simulator by the action capturing system, executing training contents by the trained personnel through controlling the semi-physical simulation equipment, and recording training key data such as entity states, ammunition quantity, war damages and the like by system software in the training process;

(7) After training, 2 trained team members can load training key data recorded by director conditioning nodes in the combat situation nodes in the respective training sites to carry out two-dimensional and three-dimensional compound playback on the training process, and statistical information such as combat situations, combat losses, combat fruits, ammunition consumption and the like at any moment can be checked in the compound playback;

(8) And qualitatively and quantitatively scoring trained personnel and teams according to the combat loss, combat fruits and ammunition consumption information recorded in training through the training evaluation nodes according to evaluation indexes selected by training lessons.

3. Independent red and blue antagonism, which can be trained independently in two training sites as shown in FIG. 7, comprises

(1) The trained team starts director conditioning nodes in the allocated training sites to select red and blue countermeasure training courses, and opens corresponding training simulation scenes in the simulation resource layer;

(2) After entering a training scene, connecting fight planning node software in a corresponding training field through interconnection middleware, and carrying out equipment allocation, task acquisition and other planning contents by trained team members in the training field through the fight planning software according to training scene requirements;

(3) Respectively starting motion capture nodes in a training field after the combat is finished to prepare for posture calibration of trained personnel;

(4) Training team members wear training equipment in a training field and stand to a designated motion capture position to put out a calibration gesture, and waiting for training team members to finish gesture calibration through motion capture nodes;

(5) The director conditioning nodes are connected with the individual soldier simulation training nodes and the combat situation nodes in the corresponding training sites through the interconnection middleware to join the training scene for preparation and start training;

(6) Starting training through the director conditioning node, starting a simulation process, collecting positions and postures of trained personnel and a semi-physical simulation simulator by the action capturing system, executing training contents by the trained personnel through controlling the semi-physical simulation equipment, and recording training key data such as entity states, ammunition quantity, war damages and the like by system software in the training process;

(7) After training is finished, training team members can load training key data recorded by director conditioning nodes in the combat situation nodes in the respective training sites to carry out two-dimensional and three-dimensional compound playback on the training process, and statistical information such as combat situation, combat losses, combat fruits, ammunition consumption and the like at any moment can be checked in the compound playback;

(8) And qualitatively and quantitatively scoring trained personnel and teams according to the combat loss, combat fruits and ammunition consumption information recorded in training through the training evaluation nodes according to evaluation indexes selected by training lessons.

While the foregoing description illustrates and describes the preferred embodiments of the present invention, it is to be understood that the invention is not limited to the forms disclosed herein, but is not to be construed as limited to other embodiments, and is capable of numerous other combinations, modifications and environments and is capable of changes or modifications within the scope of the inventive concept as expressed herein, either as a result of the foregoing teachings or as a result of the knowledge or technology of the relevant art. And that modifications and variations which do not depart from the spirit and scope of the invention are intended to be within the scope of the appended claims.

Claims (10)

1. A tactical collaborative combat simulation training system is characterized in that: the system framework is divided into an infrastructure layer, a data resource layer, a public service layer, a functional module layer and an application research layer by adopting a hierarchical service-oriented architecture:

the infrastructure layer is used for providing simulated training hardware facility environment support for completing various tactical collaborative training tasks;

The simulation resource layer is arranged on the infrastructure layer and is used for storing and managing various models and data resources of simulation training;

the public service layer is arranged on the simulation resource layer and is used for providing various public services when the system is simulated;

the function module layer is arranged on the public service layer and is used for providing various functions required by the system in simulation;

the application research layer is arranged on the functional module layer and is used for providing a training mode when the system is simulated.

2. The tactical collaborative combat simulation training system of claim 1, wherein the types of models and data resources of the simulated training of the simulation resource layer include training planning data, training scenario data, training process data, training performance data, training personnel information, equipment performance data, force compliance data, simulation rules data, battlefield environmental data, combat simulation models, assessment index models, motion capture models, and three-dimensional visualization models.

3. The tactical collaborative combat simulation training system of claim 1, wherein the public service layer comprises a tactical simulation engine, a specialized support software tool, a geographic information system, and simulation interconnection middleware based on UE4, the various public services comprising tactical model services, performance calculation services, time management services, message distribution services, entity management services, coordinate transformation services, simulation monitoring services, data acquisition services, simulation logging services, desired analysis services, battlefield environmental services, military plotting volume calculation services, and data interface services.

4. The tactical collaborative combat simulation training system of claim 1, wherein in the functional module layer the simulated training comprises a training course design node, a director conditioning node, a comprehensive management node, a training assessment node, a combat planning node, a combat situation node, a combat resource simulation node, an individual soldier simulation training node, a semi-physical simulation equipment node and a motion capture node, a network support node, and a training calculation support node.

5. The tactical collaborative combat simulation training system of claim 4, wherein the training course design node designs custom training scenarios based on training requirements, performs battlefield environmental configuration, sets basic parameter settings, mission action planning, and automatically generates training mission description files;

the director conditioning node provides data distribution and simulation time management support, and performs action guiding and adjustment, virtual army action and state guiding and adjustment, battlefield environment guiding and adjustment, addition and deletion of supporting army operation, and monitoring operation on battlefield situation, battlefield damage, ammunition consumption and training node state in the training process;

the comprehensive management and control node is used for training data and managing the training nodes, verifying identity information of management personnel and rejecting illegal users to log in; management information data, model data, training results, and army configuration data; performing backup and restore operations on various training data; simulating the voice command issuing and guiding the supporting force of the trained team;

The training evaluation node is used for quantitative evaluation, qualitative judgment, comprehensive evaluation and historical training score comparison analysis, and evaluates the scores of individuals and teams respectively;

the combat plan planning node is used for carrying out combat plan planning and command decision-making;

and the battle situation node provides battle field situation autonomous roaming observation and simulation entity state information viewing, weapon force multi-view monitoring, battle fruit loss ammunition consumption statistical record display and multiple disc playback in the training process.

6. The tactical collaborative combat simulation training system of claim 4, wherein the individual soldier simulation training node is configured to provide audiovisual display, positioning, motion awareness and tracking human-machine interaction functions for trained personnel;

the semi-physical simulation equipment node comprises semi-physical equipment, and provides simulated weapon equipment capable of being interactively operated for trained personnel;

the motion capture node is used for identifying and simulating and reproducing tactical motions of trained personnel in a virtual battlefield environment, identifying the position and the gesture of the semi-physical simulation simulator and realizing calculation and reconstruction of the motions and the gestures.

7. The tactical collaborative combat simulation training system of claim 6, wherein the basic model hierarchy in the simulated resource layer comprises an environmental simulation model for terrain, vegetation, weather simulation in a battlefield environment, a simulated entity model, and a military concept model; the simulation entity model is used for simulating the behaviors of the man-in-the-loop entity and the computer generated weapon entity and the combat effectiveness; the military concept model is used for combat planning, training and evaluation.

8. The tactical collaborative combat simulation training system of claim 7, wherein the environmental simulation model provides a simulated battlefield environment and provides computational analysis, data support, and interaction interfaces for simulating interactions between the battlefield environment and the combat actions and effects of the weapon equipment;

the simulation entity model is used for simulating the behaviors and combat effectiveness of simulation personnel and simulation equipment;

the military concept model is used for defining actions and triggering conditions taken by an entity when the entity performs a combat task and interaction relation with the external environment, and evaluating the effect of military operation completion in a quantitative and qualitative mode.

9. A tactical collaborative combat simulation training method, characterized in that the method is implemented by using the tactical collaborative combat simulation training system according to any one of claims 1-8, and at least comprises three training modes of red-red countermeasure, combined red-blue countermeasure and independent red-blue countermeasure.

10. The tactical collaborative combat simulation training method of claim 9, wherein the red challenge includes the steps of:

(1) A guide evaluation seat for starting a director conditioning node selects training courses;

(2) Adding combat plan of two training sites through combat plan nodes after entering a training scene;

(3) 2 trained team members conduct pre-training combat planning in respective training sites;

(4) Starting the motion capture nodes of two training sites respectively after the combat is completed;

(5) 2 trained team members wear training equipment in respective training sites and stand to a designated motion capture position for posture calibration;

(6) The director conditioning node adds each individual soldier simulation training node and the combat situation nodes of the two sites into a training scene;

(7) Starting training and starting a simulation process, and collecting the positions and the postures of trained personnel and a semi-physical simulation simulator by the action capturing system; training personnel execute training content by controlling the semi-physical simulation equipment, and record entity state, ammunition quantity and combat damage key data in the training process;

(8) After training, the 2 trained team members perform multiple playback and watching at director conditioning nodes in the respective training sites.

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