CN108646589B - Combat simulation training system and method for attacking unmanned aerial vehicle formation - Google Patents
Combat simulation training system and method for attacking unmanned aerial vehicle formation Download PDFInfo
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Abstract
The invention relates to the field of distributed combat simulation, and provides a combat simulation training system and method for attacking unmanned aerial vehicle formation. From the composition of physical nodes, the system is decomposed into an unmanned aerial vehicle and launching platform simulation node, an unmanned aerial vehicle formation command node, a ground planning control node, a friendly equipment simulation node, an enemy force simulation node, a tactical communication simulation node, a situation display node, a training control node and a data recording analysis node; and constructing a model system comprising an environment simulation model, a simulation entity model and a military concept model from the aspect of combat simulation modeling. The combat simulation training system has an important supporting function for tactical collaborative training, combat scheme deduction and equipment improvement and optimization of attack unmanned aerial vehicle formation.
Description
Technical Field
The invention mainly belongs to the field of distributed combat simulation, and particularly relates to a combat simulation training system and method for attacking unmanned aerial vehicle formation.
Background
The attacking unmanned aerial vehicle is a type of unmanned aerial vehicle used for military striking, can carry various accurately guided weapons, and implements attacking on ground and offshore targets, or is equipped with air-to-air missiles for air battle, and can also perform back-guiding interception. The portable reconnaissance device and the combat unit can hit found important targets in real time, have the reconnaissance and combat integrated function, and can greatly reduce the casualties of combat personnel, so the portable reconnaissance device becomes weapon equipment which is vigorously developed in all military and strong countries.
When the attacking unmanned aerial vehicle executes a battle task, formation flight can be often adopted for improving the battle efficiency, so that the attacking unmanned aerial vehicle is not only favorable for forming a closed battle loop for detection, indication, fighting and evaluation, but also favorable for effectively striking multiple targets.
Attacking unmanned aerial vehicles are complex and expensive weapon systems, and it is more expensive that unmanned aerial vehicles form a team and fly in real time once, and this all brings very big challenge to the tactics collaborative training of operation personnel, operation scheme planning verification and equipment adaptability improvement and optimization. There is therefore an urgent need for an effective approach to address the above-mentioned problems with respect to daily training, tactical validation and equipment improvement, while reducing costs and avoiding risks.
With the development of modeling simulation technology, a beneficial idea is undoubtedly provided for solving the problems by constructing a combat simulation training system, but at present, a design scheme which is relatively universal and relatively complete does not exist, and the basic requirements of actual combat drilling cannot be met.
Disclosure of Invention
Aiming at the problems, the invention provides a combat simulation training method for attacking unmanned aerial vehicle formation, which not only embodies actual combat characteristics, but also meets basic application requirements.
The invention is realized by the following technical scheme:
a combat simulation training system is a combat simulation training system for attacking formation of unmanned aerial vehicles, and is suitable for tactical collaborative training, combat scheme deduction and equipment improvement optimization of the attacking formation of the unmanned aerial vehicles;
the system is a distributed simulation system based on HLA/RTI and comprises an unmanned aerial vehicle, a launching platform simulation node, an unmanned aerial vehicle formation command node, a ground planning control node, an adjacent force simulation node, an enemy force simulation node, a tactical communication simulation node, a situation display node, a training control node and a data recording analysis node, wherein all the nodes are connected through an Ethernet.
Furthermore, the unmanned aerial vehicle and the launching platform simulation node are used for simulating launching and flying processes of attacking unmanned aerial vehicle formation, and completing target reconnaissance and accurate attack simulation in a battle scene under the control of the corresponding ground planning control node;
the unmanned aerial vehicle formation command node is used for simulating and realizing tactical command for attacking unmanned aerial vehicle formation;
the ground planning control node is used for simulating and realizing flight path collaborative planning, flight real-time control, target detection and identification, firepower distribution decision and target locking attack of unmanned aerial vehicle formation, comprises a plurality of on-loop nodes and adopts a real-mounted software interface;
the friend-adjacent force simulation node is used for simulating and realizing the operational action of friend-adjacent force so as to form a relatively complete own operational scene by cooperating with unmanned aerial vehicle formation;
the enemy force simulation node is used for simulating and realizing various typical targets and combat actions of the enemy;
the tactical communication simulation node is used for simulating communication networks among the unmanned aerial vehicles in formation and between the unmanned aerial vehicle formation and the ground planning control station, and can simulate and realize information transmission flow and communication quality in the network;
the situation display node is used for providing two-dimensional/three-dimensional comprehensive battlefield environment display and truly reflecting the influence of the battlefield environment on the fighting behavior and the fighting effect of weaponry and the action of the weaponry on the battlefield environment;
the training management and control node is used for training plan making, training subject planning, system node configuration, data acquisition planning before training, training subject distribution, training starting and ending control, superior role simulation, training process monitoring and training guidance and adjustment intervention in training;
the data recording and analyzing node is used for recording and collecting key data, displaying important information of the battle progress and obtaining an index value according to the analysis and calculation of the training evaluation index.
Further, the tactical command realized by the simulation of the unmanned aerial vehicle formation command node comprises: issuing a combat task, carrying out enemy notification and striking evaluation decisions; the unmanned aerial vehicle formation command node is an online loop node.
Furthermore, the unmanned aerial vehicle and the launching platform simulation node can automatically deploy each unmanned aerial vehicle launching vehicle entity to a specified position and initialize ammunition information according to an initial situation set by the training control node; each launching vehicle entity can automatically complete maneuvering, unfolding, standby and launching actions according to the command of the unmanned aerial vehicle formation command node; the launching vehicle entity can receive the track planning result of the attacking unmanned aerial vehicle corresponding to the ground planning control node and the launching instruction of the command node, completes launching preparation, parameter binding and unmanned aerial vehicle launching, and timely generates an attacking unmanned aerial vehicle simulation entity; the attacking unmanned aerial vehicle entity controls flight according to a track planning result before shooting, carries out real-time track calculation in the flight process, sends the calculated speed, position and attitude information to a training control node, a ground planning control node and a situation display node for display and analysis, and transmits the detected image information to the ground planning control node for an operator to check; the attacking unmanned aerial vehicle entity can receive a new task instruction of the ground planning control node in the flight process, and change a flight path, a task area and a working mode; the attacking unmanned aerial vehicle entity can accurately attack the locked target according to the guiding attack operation of the ground planning control node; each entity of the attack unmanned aerial vehicle formation can complete data relay through the data link between bombs (for example, the attack unmanned aerial vehicle entity 1 sends reconnaissance information to the ground planning control node through the attack unmanned aerial vehicle entity 2) and target indication (for example, the attack unmanned aerial vehicle entity 1 can provide real-time information of a moving target for the attack unmanned aerial vehicle entity 2).
Further, the tactical communication simulation node simulates and realizes the transmission of target information, planning flight path, control instructions and the like of the attack unmanned aerial vehicle by the ground planning control station and the transmission of scout images, target states and the like of the attack unmanned aerial vehicle to the planning control station by constructing an air-ground bidirectional data link; constructing an inter-machine bidirectional data chain to realize the information interaction functions of formation data relay and a cooperative instruction transmitter; the influence of network topology, network capacity, background flow, node mobility, node damage, electronic interference, battlefield environment and service information factors on communication performance is simulated.
Furthermore, the situation display node has a two-dimensional situation display function, can display a two-dimensional map, can display a large-scale map of a local area in a superposed manner, and can display the real position and state of each entity in real time;
the situation display node also has a three-dimensional visual display function, constructs a virtual battlefield terrain scene, vividly displays natural landforms and various simulation entities, has a collision detection and response mechanism, can detect the situation that ammunition accidentally hits the ground and hits a target, simulates the acousto-optic effect of the detonation of a warhead in real time, displays the coverage range and the communication and communication effects of a missile sensor, can provide a roaming traversal function for the whole battlefield environment according to requirements, so that the missile can roam to a concerned area according to interests, and selects a proper visual angle to observe the battle situation.
Furthermore, a large amount of information flow transmitted through a physical network exists among all nodes of the system; the information flow comprises various effective data and control information, the effective data comprises scout intelligence data, damage effect data, electronic interference data information, real-time state data, communication effect data, communication request data and initial situation data, and the control information comprises unmanned aerial vehicle track planning information, control instruction information, command information and training management and control information.
Furthermore, the combat simulation training system constructs a combat model system comprising an environment simulation model, a simulation entity model and a military concept model, and the models are selected and called by each simulation node;
the environment simulation model comprises a geographic environment model, a meteorological environment model and an artificial battlefield environment model, provides consistent battlefield environment data for simulation of both anti-responders, and provides computational analysis, data support and an interaction interface for simulating the interaction between the battlefield environment and the fighting action and fighting effect of weaponry;
the simulation entity model is used for identifying a combat entity on a battlefield and the basic composition and state of the combat entity, and describing the performance and optical, infrared and radar radiation characteristics of the combat entity.
The military conceptual model is used for describing actions and triggering conditions/principles adopted by an entity when carrying out a battle mission and interaction relation with the external environment, and automatically evaluating the effect of military action completion in a quantitative mode based on a model algorithm.
A combat simulation training method for attacking formation of unmanned aerial vehicles adopts the system, and the method comprises the following steps:
(1) initializing various parameters of the combat simulation training system according to the combat imagination;
(2) setting a battlefield environment, and determining a reference map, weather conditions, terrain precision and coordinates;
(3) setting the type, quantity, distribution, initial state and action plan of the force of the enemy;
(4) setting the type, quantity, distribution, initial state and action plan of the forces of the friend;
(5) setting the quantity of attacking unmanned aerial vehicle formation and weapon parameters;
(6) setting a communication link and related parameters for attacking the formation of the unmanned aerial vehicles;
(7) starting simulation training to finish training content;
(8) and after the training is finished, analyzing, replaying, counting and evaluating through the data record analysis node.
The invention has the beneficial technical effects that:
the combat simulation training system and the combat simulation training method for attacking the formation of the unmanned aerial vehicles, which are provided by the invention, are based on distributed simulation based on HLA/RTI and can be used as a guide basis for development and use of the combat simulation training system for attacking the formation of the unmanned aerial vehicles, and the system developed by the system has good application prospects in the aspects of tactical collaborative training, combat scheme deduction, equipment improvement and optimization and the like for attacking the formation of the unmanned aerial vehicles.
Drawings
Fig. 1 is a system architecture diagram of a simulated combat training system for formation of attacking drones in the embodiment of the present invention.
Fig. 2 is a diagram of physical component nodes of a simulated combat training system for formation of attacking drones in the embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
On the contrary, the invention is intended to cover alternatives, modifications, equivalents and alternatives which may be included within the spirit and scope of the invention as defined by the appended claims. Furthermore, in the following detailed description of the present invention, certain specific details are set forth in order to provide a better understanding of the present invention. It will be apparent to one skilled in the art that the present invention may be practiced without these specific details.
Example 1
The embodiment provides a combat simulation training system, which is a combat simulation training system for attacking formation of unmanned aerial vehicles and is suitable for tactical collaborative training, combat scheme deduction and equipment improvement and optimization of the attack formation of the unmanned aerial vehicles;
as shown in fig. 2, the system is a distributed simulation system based on HLA/RTI in terms of physical structure, and includes an unmanned aerial vehicle and launch platform simulation node, an unmanned aerial vehicle formation command node, a ground planning control node, an adjacent force simulation node, an enemy force simulation node, a tactical communication simulation node, a situation display node, a training management and control node, and a data recording and analyzing node, and each node is connected through an ethernet.
The unmanned aerial vehicle and the launching platform simulation node are used for simulating launching and flying processes of attacking unmanned aerial vehicle formation, and completing target reconnaissance and accurate attack simulation in a battle scene under the control of the corresponding ground planning control node; the method specifically comprises the following steps: according to the initial situation set by the training control node, each unmanned aerial vehicle launching vehicle entity is automatically deployed to a specified position and ammunition information (ammunition type and quantity) is initialized; each launching vehicle entity can automatically complete actions such as maneuvering, unfolding, standby, launching and the like according to the command of the unmanned aerial vehicle formation command node; the launching vehicle entity can receive the track planning result of the attacking unmanned aerial vehicle corresponding to the ground planning control node and the launching instruction of the command node, complete launching preparation, parameter binding and unmanned aerial vehicle launching, and timely generate an attacking unmanned aerial vehicle simulation entity; the attacking unmanned aerial vehicle entity controls flight according to a track planning result before shooting, carries out real-time track calculation in the flight process, sends the calculated speed, position and attitude information to a training control node, a ground planning control node and a situation display node for display and analysis, and transmits the detected image information to the ground planning control node for an operator to check; the attacking unmanned aerial vehicle entity can receive a new task instruction of the ground planning control node in the flight process, and change a flight path, a task area and a working mode; the attacking unmanned aerial vehicle entity can accurately attack the locked target according to the guiding attack operation of the ground planning control node; each entity of the attack unmanned aerial vehicle formation can complete data relay through the data link between bombs (for example, the attack unmanned aerial vehicle entity 1 sends reconnaissance information to the ground planning control node through the attack unmanned aerial vehicle entity 2) and target indication (for example, the attack unmanned aerial vehicle entity 1 can provide real-time information of a moving target for the attack unmanned aerial vehicle entity 2).
The unmanned aerial vehicle formation command node is used for simulating and realizing tactical command for attacking unmanned aerial vehicle formation; the method comprises the steps of issuing a combat mission, carrying out enemy notification, striking an evaluation decision and the like, and is a 'person-in-loop' node. Wherein, the human being in the loop means that the system needs human intervention operation in the running process.
The ground planning control node is used for simulating and realizing flight path collaborative planning, flight real-time control, target detection and identification, firepower distribution decision and target locking attack of unmanned aerial vehicle formation. Typically comprising a plurality of "person in loop" nodes and employing a live software interface.
The friend-adjacent force simulation node is used for simulating and realizing the operational action of friend-adjacent force so as to form a relatively complete own operational scene by cooperating with unmanned aerial vehicle formation; if the remote rocket launcher carries out firepower striking on an enemy collective target under the guidance of an attacking unmanned aerial vehicle, the method specifically comprises the following steps: according to the initial situation set by the training control node, the friend military force simulation entity can be automatically deployed to a specified position, and resource information (such as ammunition and oil) is initialized; the operations such as maneuvering, unfolding, reconnaissance, striking, interference and the like of the adjacent force simulation entity can be realized according to the setting and operation of the training control node or the human-computer interaction interface of the training control node.
The enemy force simulation node is used for simulating and realizing various typical targets and combat actions of the enemy; such as armor/artillery squads, air defense missile systems, command posts, radar stations, electronic countermeasure equipment and the like, the method specifically comprises the following steps: according to the initial situation set by the training control node, the enemy force simulation entity can be automatically deployed to a specified position, and resource information (such as ammunition and oil) is initialized; the operations of maneuvering, expanding, reconnaissance, striking, interference and the like of enemy force simulation entities can be realized according to the setting and operation of the training control nodes or the human-computer interaction interface of the enemy force simulation entities.
The tactical communication simulation node is used for simulating communication networks among the unmanned aerial vehicles in formation and between the unmanned aerial vehicle formation and the ground planning control station, and can simulate and realize information transmission flow and communication quality in the network; the method specifically comprises the following steps: constructing an air-ground bidirectional data chain, and simulating to realize the transmission of target information, planned flight paths, control instructions and the like of the attack unmanned aerial vehicle by the ground planning control station and the transmission of scout images, target states and other information of the attack unmanned aerial vehicle to the planning control station; an inter-machine bidirectional data chain is constructed, and inter-machine information interaction functions such as formation data relay and cooperative instruction transmission are realized; the influence of factors such as a network topology structure, network capacity, background flow, node mobility, node damage, electronic interference, a battlefield environment, service information and the like on the communication performance is simulated.
The situation display node is used for providing two-dimensional/three-dimensional comprehensive battlefield environment display and truly reflecting the influence of the battlefield environment on the fighting behavior and the fighting effect of weaponry and the action of the weaponry on the battlefield environment; the method specifically comprises the following steps: the two-dimensional situation display function can display a two-dimensional map, can display a large-scale map of a local area in a superposed manner, and can display the real position and state of each entity in real time; the three-dimensional scene display function is used for constructing a virtual battlefield terrain scene, vividly displaying natural landforms and various simulation entities (the whole three-dimensional terrain scene is not required to have high resolution, but a hot spot area, particularly a target area, needs to have high resolution), has a collision detection and response mechanism, can detect the conditions that ammunition accidentally hits the ground, hits a target and the like, simulates the acousto-optic effect when a warhead detonates in real time, displays the coverage range, the communication and communication effects and the like of a missile sensor, can provide a roaming and traversing function for the whole battlefield environment according to requirements, and can roam to the concerned area according to interests and select a proper visual angle to observe the battle conditions.
The training management and control node is used for training plan making, training subject planning, system node configuration, data acquisition planning before training, training subject distribution, training starting and ending control, superior role simulation, training process monitoring and training guidance and adjustment intervention in training;
the data recording and analyzing node is used for recording and collecting key data, displaying important information of the battle progress and obtaining an index value according to the analysis and calculation of the training evaluation index.
A large amount of information flow transmitted through a physical network exists among all nodes of the system; the information flow comprises various effective data and control information, the effective data comprises scout intelligence data, damage effect data, electronic interference data information, real-time state data, communication effect data, communication request data and initial situation data, and the control information comprises unmanned aerial vehicle track planning information, control instruction information, command information and training management and control information.
Table 1 shows the main information categories existing in the combat simulation training system and the flow direction of various types of information among the nodes.
TABLE 1
In table 1, the information categories represented by the respective numerical references are described as follows:
unmanned aerial vehicle flight path planning information: the method comprises the steps that a ground planning control node plans a flight path of an attack unmanned aerial vehicle according to target information to obtain an expected flight path;
control command information: the system is used for realizing control intervention of the ground planning control node on an attacking unmanned aerial vehicle, such as task parameter setting, instruction issuing, target locking, accurate attacking operation response and the like;
command information: the method comprises the following steps that commands such as maneuvering and launching and the like issued by a command node of an unmanned aerial vehicle formation to a ground planning control node and unmanned aerial vehicle formation and launch vehicle nodes, and guidance and adjustment pre-prediction information of a training and control node to a friendly and adjacent force simulation node and an enemy force simulation node;
fourthly, scouting information: mainly is unmanned aerial vehicle formation battlefield reconnaissance information, and can also be the situation information of both red and blue parties distributed by a training control node;
destruction effect information: the system can reflect the killing effect of attacking the unmanned aerial vehicle to the enemy target, can also show the interception effect of enemy air defense equipment to the formation of the unmanned aerial vehicle, or the damage effect between other fire equipment of both parties;
electronic interference information: the method is mainly used for simulating the specific influence of electronic countermeasure equipment of an enemy on the formation reconnaissance and communication of the unmanned aerial vehicle;
and real-time state information: basic information of equipment entities of the red and blue parties is described, and the basic information can be speed, position, posture, working state, ammunition amount, photoelectric characteristics and the like;
information of communication effect: the communication effect among all levels of equipment simulated by the tactical communication simulation node is reflected, such as communication efficiency and communication efficiency;
ninthly, communication request information: the system comprises a communication effect calculation service for calling a tactical communication simulation node and providing related input information;
initial situation information in r: the method mainly comprises red and blue equipment configuration and deployment information, battlefield communication networking information, simulation period information, parameter configuration information and the like.
The basic model system constructed by the combat simulation training system comprises an environment simulation model, a simulation entity model and a military concept model;
the environment simulation model comprises a geographic environment model, a meteorological environment model and an artificial battlefield environment model, provides consistent battlefield environment data for simulation of both anti-responders, and provides computational analysis, data support and an interaction interface for simulating the interaction between the battlefield environment and the fighting action and fighting effect of weaponry; the geographic environment model mainly considers the natural characteristics of terrain, landform, vegetation, water system, traffic and the like of a battlefield area so as to simulate the influence of the reappearance of the battlefield geographic environment on the detection performance of reconnaissance equipment and the mobility performance of ground entities; the meteorological environment model mainly considers meteorological conditions such as weather, air temperature, air pressure, wind speed and the like in a battlefield area so as to simulate the propagation influence of the battlefield meteorological environment on sound, light and electromagnetic signals, the track influence on a battlefield flight entity and the like; the artificial battlefield environment model mainly considers artificial environment conditions such as building facilities, vehicles, obstacles and the like so as to simulate and reproduce the influence of the artificial battlefield environment on the fighting efficiency of weaponry.
The simulation entity model is used for identifying a combat entity on a battlefield and the basic composition and state of the combat entity, and describing the performance and optical, infrared and radar radiation characteristics of the combat entity. The specific elements are as follows: basic attributes including enumeration identification, entity name, country of the entity, specific category and the like; the entity composition describes basic composition elements of the entity, such as what sensors, communication equipment, weapon devices and the like are equipped on the basis of a weapon platform; state representation, which defines state description parameters of the entity, such as position, speed, attitude, working state, membership and the like; the performance parameters mainly reflect the tactical technical indexes of the entity and can be divided into overall performance parameters and component performance parameters, wherein the overall performance parameters comprise length, width, height, maximum speed, maneuvering overload, climbing gradient and the like, and the component performance parameters comprise the maximum detection distance of a sensor; damage characteristics, which describe the damage effect of various ammunitions to an entity, such as a damage probability table of a certain direct-aiming weapon ammunition to the current entity at different shooting distances; the signal characteristics describe the perceived characteristics of the entity, and comprise signal characteristic values of optics, infrared, radar, sonar and the like, which respectively represent the farthest distances of the entity to be found on the corresponding signal domain; visualization, which mainly comprises a two-dimensional icon, a three-dimensional model and explosion and damage effects; resources, describe the fuel and ammunition that an entity carries, including type and quantity.
The military conceptual model is used for describing actions and triggering conditions/principles adopted by an entity when carrying out a battle mission and interaction relation with the external environment, and automatically evaluating the effect of military action completion in a quantitative mode based on a model algorithm. Model construction mainly considers the typical combat tasks of various simulation entities, and the tasks are generally formed by 1 or more specific actions, and the entity tasks in the combat simulation training system are shown in a table 2. In addition, some behaviors are not related to specific tasks, but are generated spontaneously during each task, mainly including two actions of reconnaissance and direct aiming shooting, and are also included in the military concept modeling category.
TABLE 2
In order to embody the design ideas of standardization, modularization and universalization, a hierarchical service-oriented technical system structure is adopted, and the system is divided into an infrastructure layer, a data resource layer, a public service layer, a functional module layer and an application research layer based on HLA/RTI specifications; as shown in fig. 1:
the infrastructure layer comprises a computer, network equipment, storage equipment, input and output equipment, actual equipment and matched software, and provides a simulated training environment support for completing various training tasks, wherein the actual equipment comprises a ground planning control terminal;
the data resource layer takes a computer and a storage device as carriers and stores and manages various data resources for simulation training, wherein the data resources comprise training plans, task imagination, training results, tactical rules, battlefield environments and equipment performance;
the public service layer is the core of the whole system framework and provides various public services for system operation, the public services comprise event management services, tactical model services, efficiency calculation services, battlefield environment services, time management services, simulation monitoring services, message management services, object management services, coordinate conversion services, data acquisition services, simulation log services, imagination and analysis services, data interface services and the like, some service components need to be developed by themselves, and some service components can be obtained by commercial software;
the functional module layer provides various tool modules for application operation for the combat simulation training system, and is used for realizing training management control, task planning and editing, virtual force simulation, planning control interface, tactical communication simulation, battlefield environment simulation and record analysis evaluation;
the application research layer comprises a human-computer interaction interface, a combat scenario predetermined plan and a training evaluation index; the method is a related applicability design developed aiming at specific application directions of an unmanned aerial vehicle formation tactical collaborative training system, an operation scheme deduction system, equipment improvement optimization system and other operation simulation training systems.
A combat simulation training method for attacking unmanned aerial vehicle formation adopts the system, and comprises the following steps:
(1) initializing various parameters of the combat simulation training system according to the combat imagination;
(2) setting a battlefield environment, and determining a reference map, weather conditions, terrain precision and coordinates;
(3) setting the type, quantity, distribution, initial state and action plan of the force of the enemy;
(4) setting the type, quantity, distribution, initial state and action plan of the forces of the friend;
(5) setting the quantity of attacking unmanned aerial vehicle formation and weapon parameters;
(6) setting a communication link and related parameters for attacking the formation of the unmanned aerial vehicles;
(7) starting simulation training to finish training content;
(8) and after the training is finished, analyzing, replaying, counting and evaluating through the data record analysis node.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It should be understood by those skilled in the art that the above embodiments do not limit the present invention in any way, and all technical solutions obtained by using equivalent alternatives or equivalent variations fall within the scope of the present invention.
Claims (7)
1. A combat simulation training system is characterized in that the system is a combat simulation training system for attacking formation of unmanned aerial vehicles, and is suitable for tactical collaborative training, combat scheme deduction and equipment improvement optimization of the attacking formation of the unmanned aerial vehicles;
the system is a distributed simulation system based on HLA/RTI from the aspect of physical structure, and comprises:
the unmanned aerial vehicle and the launching platform simulation node are used for simulating launching and flying processes of attacking unmanned aerial vehicle formation, and completing target reconnaissance and accurate attack simulation in a battle scene under the control of the corresponding ground planning control node;
the unmanned aerial vehicle formation command node is used for simulating and realizing tactical command for attacking unmanned aerial vehicle formation, and the tactical command comprises the following steps: issuing a combat task, carrying out enemy notification and striking evaluation decisions; the unmanned aerial vehicle formation command node is an artificial loop node;
the ground planning control node is used for simulating and realizing flight path collaborative planning, flight real-time control, target detection and identification, firepower distribution decision and target locking attack of unmanned aerial vehicle formation, comprises a plurality of on-loop nodes, and adopts a real-mounted software interface;
the friend-adjacent force simulation node is used for simulating and realizing the operational action of friend-adjacent force so as to form a relatively complete own operational scene by matching with unmanned aerial vehicle formation;
the enemy force simulation node is used for simulating and realizing various typical targets and combat actions of the enemy;
the tactical communication simulation node is used for simulating communication networks among the unmanned aerial vehicles in formation and between the unmanned aerial vehicle formation and the ground planning control station, and can simulate and realize information transmission flow and communication quality in the networks;
the situation display node is used for providing two-dimensional/three-dimensional comprehensive battlefield environment display and truly reflecting the influence of the battlefield environment on the fighting behavior and the fighting effect of weaponry and the action of the weaponry on the battlefield environment;
the training management and control node is used for training plan making before training, training subject planning, system node configuration, data acquisition planning, training subject distribution, training starting and ending control, superior role simulation, training process monitoring and training guidance and adjustment intervention in training;
the data recording and analyzing node is used for recording and collecting key data, displaying important information of the battle progress, analyzing and calculating according to the training evaluation index to obtain an index value,
wherein each node is connected via an ethernet.
2. The combat simulation training system according to claim 1, wherein the unmanned aerial vehicle and launch platform simulation nodes are capable of automatically deploying each unmanned aerial vehicle launch vehicle entity to a designated location and initializing ammunition information according to an initial situation set by the training management and control node;
the launching vehicle entity can automatically complete maneuvering, unfolding, standby and launching actions according to the command of the unmanned aerial vehicle formation command node; the launching vehicle entity can receive the track planning result of the attacking unmanned aerial vehicle corresponding to the ground planning control node and the launching instruction of the command node, completes launching preparation, parameter binding and unmanned aerial vehicle launching, and timely generates an attacking unmanned aerial vehicle simulation entity;
the attacking unmanned aerial vehicle entity controls flight according to a track planning result before shooting, carries out real-time track calculation in the flight process, sends the calculated speed, position and attitude information to a training control node, a ground planning control node and a situation display node for display and analysis, and transmits the detected image information to the ground planning control node for an operator to check; the attacking unmanned aerial vehicle entity can receive a new task instruction of the ground planning control node in the flight process, and change a flight path, a task area and a working mode; the attacking unmanned aerial vehicle entity can accurately attack the locked target according to the guiding attack operation of the ground planning control node; and the entities attacking the unmanned aerial vehicle formation can complete data relay and target indication through the data link between the bombs.
3. The combat simulation training system according to claim 1, wherein the tactical communication simulation node simulates and realizes the target information, the planning flight path and the control instruction transmission of the attack unmanned aerial vehicle from the ground planning control station and the transmission of the scout image and the target state information of the attack unmanned aerial vehicle from the planning control station by constructing an air-ground bidirectional data chain; constructing an inter-machine bidirectional data chain to realize the information interaction functions of formation data relay and a cooperative instruction transmitter; the influence of network topology, network capacity, background flow, node mobility, node damage, electronic interference, battlefield environment and service information factors on communication performance is simulated.
4. The combat simulation training system according to claim 1, wherein the situation display nodes have a two-dimensional situation display function, can display a two-dimensional map, can display a large-scale map of a local area in a superposed manner, and can display the real position and state of each entity in real time;
the situation display node also has a three-dimensional visual display function, constructs a virtual battlefield terrain scene, vividly displays natural landforms and various simulation entities, has a collision detection and response mechanism, can detect the situation that ammunition accidentally hits the ground and hits a target, simulates the acousto-optic effect of the detonation of a warhead in real time, displays the coverage range and the communication and communication effects of a missile sensor, can provide a roaming traversal function for the whole battlefield environment according to requirements, so that the missile can roam to a concerned area according to interests, and selects a proper visual angle to observe the battle situation.
5. A combat simulation training system according to claim 1 wherein there is a plurality of information streams between nodes of the system transmitted over a physical network; the information flow comprises various effective data and control information, the effective data comprises scout intelligence data, damage effect data, electronic interference data information, real-time state data, communication effect data, communication request data and initial situation data, and the control information comprises unmanned aerial vehicle track planning information, control instruction information, command information and training management and control information.
6. The combat simulation training system according to claim 1, wherein the combat simulation training system constructs a combat model system comprising an environmental simulation model, a simulation entity model and a military concept model, and the environmental simulation model, the simulation entity model and the military concept model are selectively called by each simulation node;
the environment simulation model comprises a geographic environment model, a meteorological environment model and an artificial battlefield environment model, provides consistent battlefield environment data for simulation of both anti-responders, and provides computational analysis, data support and an interaction interface for simulating the interaction between the battlefield environment and the fighting action and fighting effect of weaponry;
the simulation entity model is used for identifying a combat entity on a battlefield and the basic composition and state of the combat entity, and describing the performance and optical, infrared and radar radiation characteristics of the combat entity;
the military conceptual model is used for describing actions and triggering conditions/principles adopted by an entity when carrying out a battle mission and interaction relation with the external environment, and automatically evaluating the effect of military action completion in a quantitative mode based on a model algorithm.
7. A combat simulation training method for attacking formation of drones, said method using the system of any one of claims 1 to 5, characterized in that it comprises the following steps:
(1) initializing various parameters of the combat simulation training system according to the combat imagination;
(2) setting a battlefield environment, and determining a reference map, weather conditions, terrain precision and coordinates;
(3) setting the type, quantity, distribution, initial state and action plan of the force of the enemy;
(4) setting the type, quantity, distribution, initial state and action plan of the forces of the friend;
(5) setting the quantity of attacking unmanned aerial vehicle formation and weapon parameters;
(6) setting a communication link and related parameters for attacking the formation of the unmanned aerial vehicles;
(7) starting simulation training to finish training content;
(8) and after the training is finished, analyzing, replaying, counting and evaluating through the data record analysis node.
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