13 results about "Combat simulation" patented technology

The application discloses a kind of based on layered multi-agent deep reinforcement learning's unmanned aerial vehicle cluster task planning algorithm and its evaluation method, belong to unmanned aerial vehicle technical field, solve the current unmanned aerial vehicle cluster collaborative task planning problem solving algorithm generally exists online solving efficiency is low, large amount of computation, poor stability, difficult to apply to complex dynamic scene etc.The application first establishes the cluster task allocation and flight path planning problem part Markov decision process model respectively;Second, a layered deep reinforcement learning framework based on multi-agent deep reinforcement learning is proposed, through coupled training, hierarchical solving method, the task allocation and flight path planning associated coupling problem is solved simultaneously;Also based on UE4 and Airsim build unmanned aerial vehicle cluster combat simulation environment, design evaluation index, the result shows that the application has good performance in cluster task planning, can effectively improve the intelligentization and actual combat level of cluster combat.

The present application belongs to the field of military command control and combat simulation, and relates to a local rapid reconstruction method for a killing network based on a complementary network strategy. The method acquires current state information of the killing network and detects failed nodes or edges, constructs a local repair area centered on the failed nodes, establishes a multi-objective optimization model in the repair area aiming to maximize task recovery benefits, minimize resource use costs and minimize task completion delays, solves to obtain a Pareto optimal solution set by using a TM-NSGA-III algorithm guided by a conversion matrix, and finally screens and executes a reconstruction scheme according to a battlefield situation. The present application reduces the search space by localized modeling, combines the conversion matrix to inherit the effective information of the original network, realizes rapid and high-quality reconstruction of the killing network, and improves the resilience and self-healing ability of the killing network in a dynamic battlefield environment.

The embodiment of the invention discloses a simulation method and device for a laser weapon, computer equipment and a storage medium, and the method comprises the steps: constructing a highly-simulated and controllable laser weapon combat simulation model, simulating the whole process from target recognition, irradiation duration decision, energy management to damage calculation, and improving the simulation efficiency of the laser weapon. And a dynamic interruption judgment and thermal effect cumulative attenuation mechanism based on target maneuvering is particularly introduced. The simulation can accurately reflect the physical characteristic that a laser weapon can take effect only by continuous irradiation, strictly follows the performance constraints of energy charging, heat dissipation and tracking of equipment, and reasonably simulates the irradiation uncertainty caused by target maneuvering in a complex battlefield environment and the accumulated influence of the irradiation uncertainty on the damage effect. And the actual combat suitability and the combat effectiveness evaluation accuracy of the laser weapon in simulation deduction are remarkably improved.

This invention provides a method, system, device, and medium for generating military combat simulation schemes, belonging to the field of military combat simulation technology. The method includes: parsing combat tasks described in natural language according to a preset large language model to generate structured task data; automatically generating a problem description file conforming to the planning domain definition language specification based on the structured task data and a preset combat domain knowledge base; inputting the problem description file and a predefined domain definition file into a planning domain definition language planner for solving, outputting a feasible action sequence that satisfies all preset hard constraints; using the feasible action sequence as the initial strategy, executing and evaluating it in a simulation environment; iteratively optimizing the action sequence using a reinforcement learning algorithm based on the evaluation results, generating an optimized action sequence as the final simulation scheme. This method solves the problem of low feasibility and rule compliance in existing simulation schemes.

The application discloses a target tracking method and device under infrared active jamming based on probability data association, constructs a model set, determines target and infrared active jamming motion mode according to the model set, simulates an actual combat simulation scene; establishes a coalesced object measurement model and an infrared sensor error adaptive measurement model; estimates the actual size of the coalesced object, and pre-processes measurement information of the coalesced object measurement model and the infrared sensor error adaptive measurement model; data associates a plurality of measurement information, obtains a probability of measurement and track association; processes target motion model and the coalesced object measurement model and the infrared sensor error adaptive measurement model to predict target motion state, updates target motion state prediction; and obtains target state estimation and estimation error covariance. The application solves the problem of no accurate target measurement and measurement quality uncertainty when the target and the infrared active jamming coalesce, and improves the measurement accuracy.

Provided, according to one embodiment of the present application, are a fighting simulation system and an operation method thereof. The system may comprise: at least one lidar sensor unit which is installed in a play space of a fighting game and generates point cloud data; a motion tracking unit which generates tracking data for at least a portion of body parts of a first opponent and a second opponent on the basis of first point cloud data corresponding to the first opponent and second point cloud data corresponding to the second opponent, the opponents being positioned in the play space, and the point cloud data being generated through the lidar sensor unit; a strike determination unit which determines the delivery or not of a strike between the first opponent and the second opponent and the strength of the strike on the basis of the tracking data of the motion tracking unit; and a visualization unit which visualizes the delivery or not of the strike and the strength of the strike determined by the strike determination unit as a predetermined image, and superimposes and displays same on a real-time play image of the fighting game of the first opponent and the second opponent.

This utility model discloses a team-based collaborative combat simulation robot, belonging to the field of robotics technology, including a perception system, a decision-making system, a motion system, a weapon system, and a communication system. The perception system acquires information about the robot's surrounding environment and its own state. The decision-making system formulates execution plans based on the environmental and state information, including action and confrontation decisions. The motion system executes actions based on action decisions. The weapon system performs confrontation tasks based on confrontation decisions. The communication system enables information exchange. This utility model achieves this by: accurately capturing information through the perception system to provide a basis for decision-making; efficiently generating plans through the decision-making system; flexibly executing actions through the motion system; accurately completing confrontation tasks through the weapon system; and ensuring information exchange through the communication system. The coordinated operation of these systems enables the robot to perform tasks effectively in complex scenarios, improving overall combat effectiveness and adaptability.

This invention provides a training platform and method for air combat command and decision-making intelligent agents, comprising: a support layer: providing general hardware and software support for modeling, training, demonstration, and verification of command and decision-making intelligent agents, as well as system confrontation modeling and simulation; a resource layer: building a combat simulation model library based on a general simulation platform to quickly build a learning environment to meet different air combat command and decision-making intelligent agent training needs, and building an intelligent agent model library based on a general reinforcement learning platform to meet different command and decision-making intelligent agent training needs; and an application layer: decomposing actual command and decision-making problems according to the application needs of combat command and decision-making intelligence, and specifically integrating intelligent agent training application systems to carry out parallel training of command and decision-making intelligent agents and related technology verification applications. This invention flexibly and quickly constructs intelligent agents and their learning environments, and, guided by military business rules, combines multi-agent parallel training with large scenario samples to improve the training efficiency and generalization and expansion capabilities of command and decision-making intelligent agent models.

The invention relates to an FMI and OpenAPI-based hybrid modeling simulation system for cooperative combat of unmanned aerial vehicles / unmanned aerial vehicles, and the system comprises a top architecture modeling layer which is used for completing the demand analysis and architecture design of a combat system; the bottom domain modeling layer is used for constructing a professional domain continuous model responsible for realizing a specific function algorithm; the multi-domain model integration simulation layer is used for associating the model of the top-layer architecture modeling layer with the model of the bottom-layer domain modeling layer; and the scheduling management and visualization layer is used for constructing a visualization interface and reading simulation data of the multi-domain model integration simulation layer. According to the hybrid modeling simulation system for cooperative combat of the unmanned aerial vehicle / unmanned aerial vehicle, a closed-loop simulation solution from top-layer architecture design to bottom-layer algorithm verification is provided; the method effectively overcomes the limitations of an existing unmanned aerial vehicle / unmanned aerial vehicle cooperative combat simulation scheme in the aspects of single technical space, poor model reusability and expansibility, weak cooperative simulation capability, low man-machine interaction and visualization degree and the like.

The utility model belongs to the technical field of flight confrontation simulation, and particularly discloses a flight confrontation simulation device, which comprises a control module, a front control module, a left control module and a right control module, and is characterized in that the front control module comprises a front frame, a front middle display screen, a front left display screen, a front right display screen, a head-up display, a left pedal and a right pedal; the left control module comprises a left frame, a rocker and a left display screen, the right control module comprises a right frame, a pull rod and a right display screen, a plurality of windows are formed in the upper sides of the left frame and the right frame, and the display screens are divided into a plurality of display areas. According to the utility model, the display screen is used for simulating a display instrument in the cabin of the fighter, and a plurality of windows are formed on the upper side of the frame to simulate one display screen into a plurality of instruments, so that the simulation cost of the fighter is effectively reduced on the premise of realizing accurate simulation. Meanwhile, different display instruments can be flexibly simulated by modifying the content displayed by the display screen, so that different models are simulated, and the simulation training cost is further reduced.

The invention provides a simulation battlefield situation awareness method and system, and belongs to the technical field of combat simulation, the method comprises the following steps: loading a basic model of simulation battlefield situation awareness, the basic model comprising a situation map, a combat unit and a target; a task area is created in the situation map, the task area is divided into a plurality of sensing areas, and each combat unit corresponds to one sensing area; monitoring and judging whether the target exists in a sensing area or not according to the position data of the target and the position data of the sensing area corresponding to the combat unit; and if the target is in the sensing area, determining a speed vector and an acceleration vector of target movement by using the position data of the target, determining a predicted trajectory of the target according to the speed vector and the acceleration vector of target movement, and performing intention speculation on the target based on the predicted trajectory of the target, and performing simulation battlefield situation sensing. According to the invention, trajectory prediction and intention speculation of the target are realized, and the comprehensiveness and accuracy of simulation battlefield situation awareness are improved.

The embodiment of the invention provides a hierarchical modeling method and device for aviation equipment task behaviors, computer equipment and a medium, and relates to the technical field of aviation equipment combat simulation. The method comprises the steps that in a task layer, an overall combat target is used as a decomposition starting point, and the decomposition starting point is calculated; dividing the combat task into a plurality of stage sub-tasks required for achieving an overall combat target, and determining a sequential relationship among the stage sub-tasks and behaviors included in each stage sub-task; in a behavior layer, calling a corresponding behavior component for each behavior in each stage sub-task, and determining an execution sequence of the behavior components corresponding to all the stage sub-tasks according to the time sequence relationship; and in the algorithm layer, calling an adaptive algorithm module for each behavior component in a plurality of algorithms with the same function according to the task scene parameters of the stage subtasks to which each behavior component belongs. According to the scheme, the construction efficiency, the standardization degree, the consistency and the reliability of the combat mission model are improved.

The application relates to the technical field of electromechanical installation, and discloses an electromechanical installation module control method and system based on F5G communication, which comprises the following steps: analyzing a pre-set electromechanical installation module, obtaining module data information, a module structure relationship and a module interaction relationship of the electromechanical installation module, and constructing a parameterized model of the electromechanical installation module according to the module data information, the module structure relationship and the module interaction relationship; analyzing installation site information of the electromechanical installation module to obtain an environmental influence factor; and based on the parameterized model and the environmental influence factor, constructing an installation control strategy of the electromechanical installation module through a single soldier combat simulation method and a neural network model; and realizing installation control among electromechanical installation modules based on an F5G communication network according to the installation control strategy. The application solves the problems that the existing electromechanical modular installation technology reduces construction efficiency and engineering quality.