CN112509413B - Unmanned blue army for landing obstacle-breaking training and construction method thereof - Google Patents

Unmanned blue army for landing obstacle-breaking training and construction method thereof Download PDF

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CN112509413B
CN112509413B CN202011538183.4A CN202011538183A CN112509413B CN 112509413 B CN112509413 B CN 112509413B CN 202011538183 A CN202011538183 A CN 202011538183A CN 112509413 B CN112509413 B CN 112509413B
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CN112509413A (en
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曹有辉
凌军
李谨
张鼎
崔俊琦
李威
李玲
于宏宇
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63983 Troops of PLA
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Abstract

The invention discloses an unmanned blue army for landing obstacle-breaking training and a construction method thereof, wherein the unmanned blue army comprises unmanned military equipment, a simulation deduction unit and a blue army communication network; the unmanned military force equipment and the simulation deduction unit are interconnected through a blue army communication network, and by constructing an unmanned blue army with a mode of 'rear-end cooperative control + front-end perception execution + software configuration recombination', blue army elements in the barrier-breaking landing training can be filled up, and powerful support is provided for the confrontation training of barrier-breaking landing teams.

Description

Unmanned blue army for landing obstacle-breaking training and construction method thereof
Technical Field
The invention relates to the field of military training, in particular to an unmanned blue army for landing obstacle-breaking training and a construction method thereof.
Background
The barrier breaking during landing is an important military operation of island-climbing operation, and the barrier breaking during landing training under the actual combat background is an important means for hammering and testing the combat capability of barrier breaking during landing teams, so that a complete enemy and my fighting force element is constructed, and the core of actual combat training is realized.
The force factors of the enemy and the my in the barrier-breaking and confrontation training of landing mainly have three aspects, including barrier-breaking and team landing, barrier-breaking and obstacle-resisting field and blue army. In current all kinds of antagonism training, the navy generally adopts someone armed forces to construct and establishes, and nevertheless land broken barrier training and mainly adopt live ammunition to go on, consequently do not set up entity navy usually and participate in the antagonism training, avoid the casualties to lead to landing broken barrier subgroup and carry out landing broken barrier training under the environment that lacks enemy fire threat usually, have great gap with the actual combat requirement. With the rapid development of the technologies such as unmanned, military simulation, big data analysis, artificial intelligence and the like, the construction of the blue army by using unmanned equipment has good technical foundation.
Disclosure of Invention
Aiming at the problem of lack of blue army elements in login obstacle-breaking training, the invention provides an unmanned blue army scheme for login obstacle-breaking training, and by constructing an unmanned blue army with a mode of 'rear-end cooperative control + front-end perception execution + software configuration recombination', blue army elements in login obstacle-breaking training can be filled up, and powerful support is provided for confrontation training of login obstacle-breaking teams.
In order to realize the purpose of the invention, the technical scheme of the invention is as follows:
an unmanned blue army for landing obstacle-breaking training comprises unmanned military equipment, a simulation deduction unit and a blue army communication network; the unmanned military force equipment and the simulation deduction unit are interconnected through a blue military communication network.
Preferably, the unmanned military force equipment comprises a robot, an unmanned vehicle and an unmanned aerial vehicle.
Preferably, through software configuration, the robot simulates various commanders, staff members, fighters, support personnel and the like of the battle opponents; the unmanned vehicle simulates various tanks, walking chariot, artillery, radar, reactance equipment, guarantee equipment and the like of a battle opponent; the unmanned aerial vehicle simulates various armed helicopters, transportation helicopters and scouting and fighting integrated unmanned aerial vehicles of combat opponents.
Preferably, the simulation deduction unit is composed of a basic support environment, a model resource library, a geographic information system, a simulation engine, a command control module, a deep learning module and an evaluation analysis module.
Preferably, the blue army communication network consists of an iron tower, optical fibers and a 4G/5G network; the system is used for transmitting various command and control commands, battlefield perception information, attack information, damage information, guarantee information and other data between unmanned military equipment and a simulation deduction unit.
A construction method of an unmanned blue army for login obstacle-breaking training comprises the following steps:
s1: the simulation deduction unit carries out initialization configuration on various parameters of unmanned military equipment through software according to the combat opponents selected by the training task, so that the military equipment of different combat opponents can be simulated, and software configuration recombination of the blue army is completed;
s2: the simulation deduction unit carries out simulation deduction according to data such as a training scheme, the situations of the red and blue warfare equipment, battlefield environment information and the like to form a combat scheme, sends a cooperative combat command to the unmanned military equipment through a blue military communication network, and the unmanned military equipment completes a combat task according to the cooperative control command, so that the simulation deduction unit completes rear-end cooperative control on the unmanned military equipment;
s3: on one hand, the unmanned military equipment executes the cooperative combat command and completes various combat tasks including tactical maneuver, reconnaissance perception, firepower strike and the like); on the other hand, various information (including countermeasure information, damage information, environmental information and the like) of a battlefield is collected in real time and uploaded to the simulation deduction unit through the blue army communication network for deduction calculation of the next period, a new cooperative combat command is generated, and the steps are repeated until the countermeasure training task is completed. The unmanned military force equipment completes front-end sensing execution by executing a cooperative control command and collecting battlefield information.
The invention has the beneficial effects that:
firstly: the unmanned military force equipment is used for constructing a blue army, so that the elements of the blue army in the landing obstacle breaking training can be filled, the blue army capable of simulating the combat thinking of a combat opponent and the military force equipment is constructed through the unmanned military force equipment, the elements of the blue army in the landing obstacle breaking training are filled, and the landing obstacle breaking teams can carry out the live ammunition obstacle breaking training under the full-element actual combat background;
secondly, the method comprises the following steps: the operation mode of 'rear-end cooperative control + front-end sensing execution' can effectively solve the problem of cooperative combat of unmanned military force equipment; the unmanned military equipment is responsible for command execution of the front end, the simulation deduction unit is responsible for tactical cooperative computing, and the indirect cooperative control mode among the unmanned military equipment can effectively solve the technical problem of direct interactive control among the current unmanned military equipment and realize cooperative operation of the unmanned equipment;
thirdly, the method comprises the following steps: the blue army is built based on unmanned military force equipment, and the problem that the traditional blue army construction occupies soldiers is solved;
the blue army is built by using unmanned military force equipment, and the operation of the blue army can be supported only by a small amount of maintenance personnel.
Drawings
FIG. 1 is a schematic view of the structure of the present invention.
FIG. 2 is a schematic diagram of the present invention.
FIG. 3 is a schematic diagram of the robot;
FIG. 4 is a schematic illustration of the composition of an unmanned vehicle;
fig. 5 is a schematic diagram of the composition of the drone.
In the figure: 100 is an unmanned blue army for landing and obstacle-breaking training, 110 is unmanned military equipment, 111 is a robot, a1 is a walking device, a2 is an individual soldier perception decision module, a3 is an individual soldier confrontation strike module, a4 is an individual soldier information acquisition module, a,
112 is an unmanned vehicle, b1 is a chassis, b2 is a single-mounted perception decision module, b3 is a single-mounted confrontation strike module, b4 is a single-mounted reconnaissance and electronic confrontation module, b5 is a single-mounted target characteristic simulation module, b6 is a single-mounted information acquisition module,
113 is an unmanned aerial vehicle, c1 is a flight platform, c2 is a single-machine perception decision module, c3 is a single-machine confrontation striking module, c4 is a single-machine reconnaissance and electronic confrontation module, c5 is a single-machine target characteristic simulation module, c6: a single machine information acquisition module,
120 is a simulation deduction unit, 121 is a basic supporting environment, 122 is a model resource base, 123 is a geographic information system, 124 is a simulation engine, 125 is a command control module, 126 is a deep learning module, 127 is an evaluation analysis module, 130 is a blue army communication network, 131 is a tower, 132 is an optical fiber, 133 is a 4G/5G network, 200 is a login obstacle breaking team, 300 is a guidance control system, and 400 is an anti-login obstacle field.
Detailed Description
The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings.
An unmanned blue army for landing obstacle-breaking training comprises unmanned military equipment 110, a simulation deduction unit 120 and a blue army communication network 130; the unmanned military equipment 110 and the simulation deduction unit 120 are interconnected through a blue military communication network 130.
Preferably, the unmanned military force equipment 110 comprises a robot 111, an unmanned vehicle 112 and an unmanned aerial vehicle 113, and the number of the robot 111, the unmanned vehicle 112 and the unmanned aerial vehicle 113 is configured according to the training scale.
Preferably, the robot 111 simulates various commanders, staff members, fighters, support staff and the like of the battle opponent through software configuration;
(refer to fig. 3) the robot 111 adopts a modular design, can be assembled quickly on site, and can be repaired quickly by replacing damaged parts after being damaged by the red square; the robot 111 mainly comprises a walking device a1, an individual soldier perception decision module a2, an individual soldier confrontation striking module a3, an individual soldier information acquisition module a4 and the like. The walking device a1 adopts a walking type chassis, and can perform tactical maneuver equivalent to a human under a complex environment; the individual soldier perception decision module a2 has the capacity of environment perception and local path planning in a local range, adopts binocular vision, laser radar, ultrasonic waves and other detection means, can perceive environment information such as terrain, roads, obstacles and the like in the local range, and can plan a local walking path according to the environment information on the basis of the global path planned by the simulation deduction unit 130; the individual combat confrontation module a3 has autonomous confrontation capacity, is provided with a laser engagement system for simulating individual weapons such as pistols, rifles, machine guns, grenades, rocket barrels, portable missiles and the like, and autonomously carries out firepower confrontation, direct aiming weapon lasing and indirect aiming weapon firing data by combining battlefield environment information sensed by the simulation deduction unit 130 according to cooperative combat instructions issued by the simulation deduction unit. The shooting information and the damage information of the shooting information and the damage information are uploaded to a simulation deduction system in real time and are used for evaluation and calculation; the individual soldier information acquisition module a4 has the capability of automatically acquiring and uploading damage information, can automatically acquire hit information after the robot 111 is hit, automatically uploads the hit information to the guidance control system, and judges whether the robot 111 still has the fighting capability or quits fighting according to the damage model.
The unmanned vehicle 112 simulates various tanks, walking chariot, artillery, radar, reactance equipment, guarantee equipment and the like of a combat opponent; the unmanned vehicle 112 is in a modular design, can be rapidly assembled on site, and can be rapidly repaired by replacing damaged parts after being damaged by the red.
(refer to fig. 4) the unmanned vehicle 112 is mainly composed of a chassis b1, a single-mount perception decision module b2, a single-mount confrontation striking module b3, a single-mount reconnaissance and electronic confrontation module b4, a single-mount target characteristic simulation module b5, a single-mount information acquisition module b6, and the like. The chassis b1 is an all-terrain chassis, and the acceleration performance, the climbing capability, the maximum maneuvering speed and the like of the unmanned vehicle 112 are set through software configuration. The single sensing decision module b2 has the capability of sensing the environment in the local range and planning the local path, can sense the environment information such as the terrain, the road, the obstacle and the like in the local range by adopting the detection means such as binocular vision, laser radar, ultrasonic waves and the like, and can plan the local walking path according to the environment information on the basis of the global path planned by the simulation deduction unit 130. The single-mounted confrontation striking module b3 has autonomous confrontation capacity, is provided with a laser engagement system simulating weapons such as tanks, artillery, missiles and the like, and autonomously carries out firepower confrontation, direct aiming weapons to strike laser and indirect aiming weapons to strike data according to cooperative fighting instructions issued by the simulation deduction unit 130 and by combining with self-perceived battlefield environment information. The shooting information and the damage information of the shooting information and the damage information are uploaded to a simulation deduction system in real time for evaluation and calculation. The single-mounted reconnaissance and electronic countermeasure module b4 has reconnaissance and electromagnetic suppression capabilities equivalent to those of equipment listed by an opponent of a battle, is provided with radar, reactance equipment and the like capable of simulating the performance of equipment of the opponent of the battle, and realizes reconnaissance perception, electromagnetic suppression and the like on a target in the red by combining model calculation. The single-mounted target characteristic simulation module b5 has target characteristics equivalent to those of equipment listed by an opponent of a battle, and six-line characteristics such as optics, infrared, electromagnetism, radar, sound, vibration and the like are simulated by additionally mounting a target characteristic simulation device. The single-mounted information acquisition module b6 has the capability of automatically acquiring and uploading damage information, can automatically acquire hit information after the unmanned vehicle 112 is hit, automatically uploads the hit information to the guidance control system, and judges whether the unmanned vehicle 112 still has the fighting capability or quits fighting according to the damage model.
The unmanned aerial vehicle 113 simulates various armed helicopters, transport helicopters and a scouting and printing integrated unmanned aerial vehicle of an opponent in a battle. Unmanned aerial vehicle 113 adopts the modularized design, can on-spot fast assembly, is hit the back by the red side, can carry out quick restoration through the part of changing the damage.
(refer to fig. 5) the unmanned aerial vehicle 113 is mainly composed of a flight platform c1, a stand-alone perception decision module c2, a stand-alone counterattack module c3, a stand-alone reconnaissance and electronic counterattack module c4, a stand-alone target characteristic simulation module c5, a stand-alone information acquisition module c6, and the like. The flying platform c1 adopts a vertical take-off and landing fixed wing unmanned aerial vehicle, and the use limit, the flying speed, the dead time and the like of the unmanned aerial vehicle 113 are set through software configuration. The single-machine perception decision module c2 has the capacity of environment perception and local route planning in a local range, can perceive the environment information such as airspace and weather in the local range by adopting detection means such as binocular vision, laser radar and ultrasonic waves, and can plan a local flight route according to the environment information on the basis of the global route planned by the simulation deduction unit 130. The single-machine confrontation striking module c3 has an autonomous confrontation capacity, is provided with a laser engagement system simulating weapons such as guns, rocket projectiles and missiles, and autonomously performs fire confrontation, directly aims the weapons to strike laser and indirectly aims the weapons to strike data according to cooperative combat instructions issued by the simulation deduction unit 130 and by combining with self-sensed battlefield environment information. The shooting information and the damage information of the shooting information and the damage information are uploaded to a simulation deduction system in real time for evaluation and calculation. The single-machine reconnaissance and electronic countermeasure module c4 has reconnaissance and electromagnetic suppression capabilities equivalent to those of equipment listed by an opponent of a battle, is provided with radar, reactance equipment and the like capable of simulating the performance of equipment of the opponent of the battle, and realizes reconnaissance perception, electromagnetic suppression and the like on a target in the red by combining model calculation. The single-machine target characteristic simulation module c5 has target characteristics equivalent to those of equipment listed by an opponent, and six-line characteristics such as optics, infrared, electromagnetism, radar, sound, vibration and the like are simulated by additionally arranging a target characteristic simulation device. The single-machine information acquisition module c6 has the capability of automatically acquiring and uploading damage information, can automatically acquire hit information after the unmanned aerial vehicle 113 is hit, automatically uploads the hit information to the guidance control system, and judges whether the unmanned aerial vehicle 113 still has the fighting capability or quits fighting according to the damage model.
Preferably, the simulation deduction unit 120 is composed of a basic support environment 121, a model resource library 122, a geographic information system 123, a simulation engine 124, a command control module 125, a deep learning module 126, and an evaluation analysis module 127; the simulation deduction unit 120 completes the initialization configuration, the intelligent training and the cooperative control of the unmanned military equipment 110 according to the training scheme, the guiding and adjusting command, the confrontation data and other information; and the unmanned blue army 100 for login obstacle-breaking training in the countermeasure process is subjected to data real-time acquisition, damage calculation, combat capability evaluation and the like.
The basic support environment 121 is mainly composed of a positioning time service module, a storage module, a calculation module, a management control module and the like, and is used for providing a position and time reference for the unmanned blue army 100 for login and obstacle-breaking training and providing storage, calculation and management resources.
The model resource library 122 is used for providing a joint combat environment model, an equipment model, an arm force model, a communication network model, a damage calculation model, a target characteristic model, an evaluation analysis model, a special effect model, a public service model and the like required by simulation deduction.
The geographic information system 123 provides information such as elevation, topography, and traffic system required for simulation deduction.
The simulation engine 124 is used for implementing process control, resource scheduling, model solution, rule analysis, power recombination, data processing, and the like.
The command control module 125 is used for generating a combat plan, assisting decision-making, deducting a combat plan, and the like.
(refer to fig. 2) the command control module 125 receives the training scheme issued by the command control system 300, generates a fighting scheme according to the training scheme, develops and optimizes the scheme, and issues a control command, thereby mobilizing the fighting actions of the unmanned military equipment 110. The deep learning module 126 forms a training sample after data cleaning, mining and analyzing processing according to data information (combat opponent military strength equipment data, actual combat training data, combat rule data and the like) pushed by the guidance control system 300, trains a task planning algorithm, a cooperative combat algorithm and a combat countermeasure algorithm of the unmanned military strength equipment 110, and continuously improves the intelligent levels of the task planning, the cooperative combat, the combat countermeasure and the like. The evaluation analysis module 127 carries out statistical calculation on the actions, war losses, war fruits, material consumption and the like of the unmanned blue army 100, and outputs and displays the actions, war losses, war fruits, material consumption and the like in a mode of graphics, tables and characters, so that the director can learn and master the drilling and guarantee conditions in an all-around, multi-angle and hierarchical manner; scientifically evaluating the fighting capacity of the unmanned blue army 100 for login obstacle-breaking training by using a corresponding evaluation model according to data generated in the countermeasure process, and automatically generating a capacity evaluation report; the multi-disk file playback system can play back various data information, has the operation functions of layering, classified playing, pausing, stopping, advancing, retreating and the like, and realizes multi-disk analysis, training and comment and the like.
Preferably, the navy communication network 130 consists of an iron tower 131, an optical fiber 132 and a 4G/5G network 133; the system is used for transmitting various command commands, battlefield perception information, attack information, damage information, guarantee information and other data between the unmanned military equipment 110 and the simulation deduction unit 120.
The tower 131 is used for installing various communication devices, the optical fiber 132 is used for data communication of fixed nodes, and the 4G/5G network is used for data communication of mobile nodes.
A construction method of an unmanned blue army for login obstacle-breaking training comprises the following steps:
s1: the simulation deduction unit 120 performs initialization configuration on various parameters of the unmanned military equipment 110 through software according to the combat opponents selected by the training task, so that the military equipment of different combat opponents can be simulated, and software configuration and recombination of the blue army are completed;
s2: the simulation deduction unit 120 carries out simulation deduction according to data such as a training scheme, the situation of the red and blue sides, battlefield environment information and the like to form a combat scheme, sends a cooperative combat command to the unmanned military equipment 110 through a blue military communication network, and the unmanned military equipment 110 completes a combat task according to the cooperative control command, so that the simulation deduction unit 120 completes cooperative control of the rear end of the unmanned military equipment 110;
s3: the unmanned military equipment 110 executes the cooperative combat command to complete various combat tasks on one hand; on the other hand, various information of the battlefield is collected in real time and uploaded to the simulation deduction unit 120 through the blue army communication network 130 for deduction calculation of the next period, a new cooperative combat command is generated, and the steps are repeated until the confrontation training task is completed; the unmanned military equipment 110 completes the front-end sensing execution by executing the cooperative control command and collecting the battlefield information.
(refer to fig. 2) the unmanned navy for login and obstacle-breaking training provided by the embodiment of the present invention is applied in such a manner that, under the unified coordination control of the guidance control system 300, the unmanned navy 100 for login and obstacle-breaking training uses laser/data to strike the login and obstacle-breaking squad 200, and the login and obstacle-breaking squad 200 uses live ammunition/laser/data to strike the unmanned navy 100 for login and obstacle-breaking training and the anti-login obstacle field 400, thereby performing the counter training. The unmanned blue army 100 for landing obstacle-breaking training can simulate the combat opponents such as beauty, day, seal, table and the like through software configuration, so that the combat abilities of the landing obstacle-breaking team 200 and different combat opponents are worked.
The described embodiments are only some embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Claims (5)

1. The utility model provides a land and break barrier training with unmanned blue army which characterized in that: the system comprises unmanned military equipment (110), a simulation deduction unit (120) and a blue military communication network (130); the unmanned military force equipment (110) and the simulation deduction unit (120) are interconnected through a blue military communication network (130), the unmanned military force equipment (110) comprises a robot (111), an unmanned vehicle (112) and an unmanned aerial vehicle (113), all of which adopt modular design, can be rapidly assembled on site, and can be rapidly repaired by replacing damaged parts after being destroyed by the red; the robot (111) consists of a walking device (a 1), an individual soldier perception decision module (a 2), an individual soldier confrontation striking module (a 3) and an individual soldier information acquisition module (a 4); the unmanned vehicle (112) consists of a chassis (b 1), a single-mounted perception decision-making module (b 2), a single-mounted confrontation striking module (b 3), a single-mounted reconnaissance and electronic confrontation module (b 4), a single-mounted target characteristic simulation module (b 5) and a single-mounted information acquisition module (b 6); unmanned aerial vehicle (113) comprises flight platform (c 1), unit perception decision module (c 2), unit counterwork strike module (c 3), unit reconnaissance and electronic counterwork module (c 4), unit target characteristic simulation module (c 5), unit information acquisition module (c 6).
2. The unmanned navy for barrier-landing training of claim 1, wherein: through software configuration, the robot (111) simulates various commanders, staff members, fighters and support personnel of a battle opponent; the unmanned vehicle (112) simulates various tanks, walking chariot, artillery, radar, reactance equipment and guarantee equipment of a battle opponent; the unmanned aerial vehicle (113) simulates various armed helicopters, transport helicopters and a scouting and printing integrated unmanned aerial vehicle of an opponent of a battle.
3. The unmanned navy for barrier-landing training of claim 1, wherein: the simulation deduction unit (120) is composed of a basic support environment (121), a model resource library (122), a geographic information system (123), a simulation engine (124), a command control module (125), a deep learning module (126) and an evaluation analysis module (127).
4. The unmanned blue army for barrier-breaking landing training of claim 1, wherein: the Lanjun communication network (130) consists of an iron tower (131), an optical fiber (132) and a 4G/5G network (133); the system is used for transmitting various command commands, battlefield perception information, attack information, damage information and guarantee information data between the unmanned military equipment (110) and the simulation deduction unit (120).
5. The method for constructing an unmanned blue army for barrier-landing training according to any one of claims 1 to 4, wherein: the method comprises the following steps:
s1: the simulation deduction unit (120) initializes and configures various parameters of the unmanned military equipment (110) through software according to the combat opponents selected by the training task, so that the military equipment of different combat opponents can be simulated, and software configuration and recombination of the blue army are completed;
s2: the simulation deduction unit (120) conducts simulation deduction according to the training scheme, the situations of the red and blue sides and the battlefield environment information data to form a combat scheme, sends a cooperative combat command to the unmanned military equipment (110) through the blue military communication network, and the unmanned military equipment (110) completes a combat task according to the cooperative control command, so that the simulation deduction unit (120) completes cooperative control of the rear end of the unmanned military equipment (110);
s3: on one hand, the unmanned military force equipment (110) executes the cooperative combat command to complete various combat tasks; on the other hand, various information of a battlefield is collected in real time and uploaded to the simulation deduction unit (120) through the blue army communication network (130) for deduction calculation of the next period, a new cooperative combat command is generated, and the steps are repeated until the confrontation training task is completed; the unmanned military force equipment (110) completes front-end sensing execution by executing a cooperative control command and collecting battlefield information.
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CN105823374B (en) * 2016-04-13 2018-08-21 山东吉利达智能装备集团有限公司 Red blue force's system of live shell rivalry-drilling
CN108520664A (en) * 2018-03-28 2018-09-11 北京华如科技股份有限公司 Land sky armed forces in real combat actual load dual training system
CN109636699A (en) * 2018-11-06 2019-04-16 中国电子科技集团公司第五十二研究所 A kind of unsupervised intellectualized battle deduction system based on deeply study
CN110136529A (en) * 2019-05-31 2019-08-16 中科泰格(北京)科技有限公司 Electronics blue force system
CN110360878A (en) * 2019-08-13 2019-10-22 苏州融萃特种机器人有限公司 A kind of man-machine coordination simulative training system and its method
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