39 results about "Battlefield" patented technology

The invention discloses an intelligent war game deduction method based on reinforcement learning, and the method comprises the steps: constructing a dynamic battlefield model: constructing an adjustable battlefield simulation platform, and defining the landform, resources and army distribution elements in a battlefield; a reinforcement learning strategy is generated and optimized, an intelligent strategy generation algorithm based on deep reinforcement learning is designed, and an efficient combat strategy is generated in multiple rounds of training by constructing a state space and an action space and combining a situation reward function; a double-agent chess playing training mechanism is introduced, black parties and white parties are modeled into reinforcement learning agents, red parties and blue parties are modeled into reinforcement learning agents, and a real battlefield game is simulated through multiple rounds of alternate training; result visualization deduction: a dynamic decision visualization function is provided, and battlefield situation, troop dynamics and a strategy execution process can be displayed in real time; according to the method, the problems of rule solidification, limited strategy generation capability, insufficient antagonism and the like in the prior art are solved.

The invention discloses a player character and BOSS battle real-time analysis method, system and device and a medium, and the method specifically comprises the steps: taking verification battle data as input, recognizing battlefield dynamic obstacles through an improved YOLOv5 model, and generating environment perception data through a three-dimensional space interpolation algorithm; constructing a dynamic attribute relation graph according to the environmental perception data and preset role state data, modeling a time-varying restriction relation between role skills by adopting a bidirectional graph attention network, and updating an edge weight matrix through a time sliding window mechanism; and inputting the dynamic attribute relation graph and player historical operation data into a reinforcement learning decision model together to generate a battle strategy tree, and dynamically adjusting the search depth of the battle strategy tree through a real-time calculated battle complexity index to generate an optimal battle strategy. The analysis efficiency and accuracy of player character battle BOSS are improved, players can be helped to quickly understand battle dynamics, and battle strategies and operation skills are improved.

The invention belongs to the technical field of wargame deduction, and discloses an emergency wargame deduction system capable of editing total elements. Comprising an operator editing subsystem, a decision table editing subsystem, a map editing subsystem, a chess editing subsystem, a scenario editing subsystem, a training organization subsystem, a deduction work subsystem, a guidance control subsystem, a deduction observation subsystem, a deduction replaying subsystem, a deduction engine subsystem and a system management subsystem. The system can meet the requirements of relevant professional operational scientific research activities on the sea. According to requirements, a deduction scenario is compiled, deduction conditions are set, and scientific research activities are carried out by selecting different weapons, combat deployment, combat actions, guarantee conditions, battlefield environments and the like and adopting a deduction-while-research or deduction playback mode. The war game system can be used as an explanation tool to provide an analysis and research environment, deduce and research are carried out on combat scenarios, classic combat examples and new combat styles and battlemen, and valuable reference data and experience are obtained.

A method of training an artificial intelligence (AI) system, comprising: (a) displaying an initial version of a battlefield environment visualization showing at least one asset and two or more threats; (b) receiving from a user a threat level for each of the two or more threats; (c) displaying a subsequent version of the battlefield environment visualization in which the two or more threats have a subsequent geospatial relationship with respect to the at least one asset; (d) receiving from the user an updated threat level for at least one of the two or more threats for the subsequent version of the battlefield environment visualization; and (e) reiterating steps c and d at least once to create a training data set of updated threat levels for changing subsequent geospatial relationships of threats relative to the at least one asset.

The present invention discloses a method and system for predicting health attrition based on the Lanchester equation, wherein the method includes introducing a time lag function and random white noise into the Lanchester equation to obtain a health attrition prediction model, wherein the time lag function is used to represent the time delay of troop reinforcement, and the random white noise is used to represent the uncontrollable factors affecting the development trend of the war; setting initial simulation parameters; performing numerical simulation on the health attrition prediction model based on the initial simulation parameters by simulation software, and obtaining a distribution curve of attrition of both sides of the war. The present invention can more effectively simulate the war process and show the evolution of the battlefield situation. The predicted results of attrition can reflect the uncertainty of the war to a certain extent, thereby effectively improving the accuracy of health attrition prediction.

Provided are an information processing method, apparatus and system, a server and a storage medium, which relates to the field of game technologies; during simulation of an injury and death process of soldiers of an army in a battlefield, an actual damage value of a current attack is first determined; then, an expected death quantity of soldiers of an attacked army is determined according to the actual damage value, and the expected death quantity is sent to a client, such that the client plays a death action corresponding to the expected death quantity. Influences of a soldier species and a surviving soldier quantity are considered when the actual damage value is determined, and influences of the soldier species are also considered when the expected death quantity is determined based on the actual damage value.

The present application relates to the technical field of game artificial intelligence, and particularly relates to a global deployment decision method and device for virtual objects, equipment and medium, the method specifically comprises: determining a first virtual object set, establishing a battle database for each first virtual object in the first virtual object set, and giving a second virtual object the permission to access the battle database of each first virtual object; based on the battle database, the second virtual object respectively acquires the role data of each first virtual object, and then according to the battlefield element of the current battlefield and the role data of each first virtual object, determines a third virtual object set and the deployment arrangement of each third virtual object in the current battlefield in the third virtual object set. The present application makes global decision judgment such as pre-battle deployment, in-battle analysis and post-battle summary, so that each virtual object on the field can make the optimal action.

The present invention discloses a high-precision hexagon grid long-range pathfinding method based on dynamic weighting in war games, specifically relating to the technical field of war game deduction, and comprising the following steps: matching a regular hexagon grid by using a Cube coordinate system, and obtaining battlefield dynamic change data of each regular hexagon grid, respectively evaluating the threat level and obstacle level of the regular hexagon grid, and dividing the nodes corresponding to the regular hexagon grid into normal nodes and obstacle nodes based on the evaluation results; adjusting the path weight of the path formed by two adjacent nodes, and finding the optimal path from the starting point to the ending point according to a preset long-range pathfinding algorithm; by collecting battlefield dynamic change data in real time and dynamically adjusting the threat index and terrain accessibility index of the nodes, the present invention enables the path weight to timely reflect the changes in the battlefield environment, improves the real-time performance and dynamic adaptability of path decision-making, and effectively deals with complex and changeable battlefield environments.

The present invention belongs to the technical field of environment construction, and provides a method and system for constructing a fine battlefield environment based on digital twins. The method includes: controlling each drone to transmit the field image data or three-dimensional terrain data of each sub-area of ​​the battlefield area according to a preset patrol strategy; constructing a digital twin sub-model corresponding to each sub-area according to the received field image data or three-dimensional terrain data, aligning the coordinates of each digital twin sub-model, and constructing a preliminary first digital twin model; evaluating the probability of destruction of the drones in each sub-area based on the first digital twin model, determining the prediction step size according to the destruction probability, and predicting an updated digital twin sub-model according to the digital twin sub-model corresponding to the sub-area; adding the updated digital twin sub-model to the first digital twin model to obtain an updated second digital twin model. The present invention realizes the rapid and refined construction of the battlefield environment.

The invention discloses a gear transmission type historical war deduction sand table control mechanism, and relates to the technical field of sand table control, the gear transmission type historical war deduction sand table control mechanism comprises a sand table mounting seat, control mechanisms, models, a glass plate and a projector, the top of the sand table mounting seat is slidably connected with twelve groups of control mechanisms, and the control mechanisms are arranged; a tooth-shaped structure is used for accurately transmitting power, the motion direction and speed of the model are controlled, stable and accurate movement and rotation of the model are guaranteed, and the reliability and simulation precision of deduction sand table operation are improved; a flag mechanism is arranged, and the flag state is rapidly switched during position attribution, tactical deployment change and attack and defense situation conversion, so that a deducer can clearly control the battlefield dynamic state, the deduction efficiency and the battlefield situation visualization degree are improved, and accurate and smooth deduction is guaranteed; the lifting mechanism is arranged, three-dimensional dynamic simulation of topographic relief and unit height is achieved through upward or downward movement of the model, plane deduction is expanded into three-dimensional battlefield reduction, and the authenticity and visualization degree of tactical deployment are improved.

The application discloses an event extraction method and system fusing a graph attention network and a QA extraction paradigm, and aims at historical combat texts including military events. Based on a graph attention network and a classification mechanism, the historical combat texts are preprocessed, trigger words are recognized, and event argument role extraction is carried out, so that the text is processed, the accuracy of event extraction is improved, and the extraction efficiency of key information is improved and the time of command decision is shortened in a complex and changeable battlefield environment.

Provided are a computer program product, a game device, and a game management device, which improve convenience and interestingness of a game. A program capable of executing a fighting game between a player and a fighting player. A program for causing a computer to function as: a battlefield selection unit that selects a player's desired field from among a plurality of types of fields; a battlefield presentation unit that presents a battlefield to be used in the battle game; and a battle game execution means that arranges the game elements in the battle field and executes a battle game between the player and the battle player. The battlefield presentation means presents the player and the site selected by the battlefield player as a battlefield on the condition that the site selected by the player and the site selected by the battlefield player coincide with each other.

The invention provides an automatic situation plotting method and device and electronic equipment, and the method comprises the steps: carrying out the key information extraction of an initial combat plan text based on a large language model, obtaining the key combat information in the initial combat plan text, and carrying out the retrieval in a military mark library based on the key combat information, obtaining an initial military mark corresponding to the key battle information, and plotting the initial military mark in a military map to obtain an initial situation map of a battlefield; and performing key information extraction on the received battlefield real-time data, and updating the initial situation map based on the extracted real-time key information to obtain a real-time situation map of the battlefield. Based on the combination of the large language model and the military standard library, the whole process automation from the battle plan to the real-time situation icon drawing update is realized, the battlefield situation awareness efficiency and accuracy are obviously improved, and powerful support is provided for command decision making.

The application discloses a kind of based on key event detection's wargaming process key battle method mining method and device, comprising: the multi-resolution situation feature abstraction of the wargaming data collected, obtain the battlefield situation feature set of combat unit under uniform dimension;Known key event in wargaming data is extracted based on battlefield situation feature set using weak supervision self-training method, and specific key event set is obtained;Based on battlefield situation feature set and specific key event set, new key event in wargaming data is extracted using new key event identification method based on deep hidden layer feature, and new key event set is obtained by labeling new key event;Each key event in specific key event set and new key event set is combined according to time sequence relationship, forms multiple battle method set, completes key battle method mining.The present application improves the timeliness and accuracy of key battle method mining.

The invention relates to a terrain key point selection method based on deep learning, and the method comprises the steps: carrying out the preprocessing of battlefield environment data in a combat area, and obtaining a feature value matrix; inputting the characteristic value matrix into a pre-trained terrain key point selection model, and selecting to obtain terrain key points in the region; the terrain key point selection model selectively pays attention to and processes the most important part based on an attention mechanism, ignores irrelevant or secondary information, and then comprehensively measures interrelation of terrain elements in a battlefield environment through a convolutional neural network to realize selection of terrain key points. The terrain key point selection method designed by the invention is not only high in accuracy and simple in structure, but also has the advantages of good mobility, few parameters and low calculation complexity, and has relatively high practical application value.

The present application belongs to the field of military simulation technology, and specifically discloses a battle example data conversion method, system and program product for war game deduction, which realizes the automatic conversion from multi-source heterogeneous battle example data to standardized and executable war game deduction plan through data preprocessing and element sequence extraction on the multi-source heterogeneous battle example data, and then script generation using the extracted element sequence, thereby improving the battle example data conversion efficiency and the intelligent level of war game deduction; through the fusion and conflict resolution of multi-source elements, high-precision element extraction can be realized, the accuracy of element extraction is ensured, and the battle game deduction example data conversion demand of complex battlefield scenes can be supported; and through the automatic battle example data conversion processing, manual intervention can be reduced, the efficiency and quality of battle example data conversion are improved, and the present application is suitable for large-scale battle example library.

A method of training an artificial intelligence (AI) system, comprising: (a) displaying an initial version of a battlefield environment visualization showing at least one asset and two or more threats; (b) receiving from a user a threat level for each of the two or more threats; (c) displaying a subsequent version of the battlefield environment visualization in which the two or more threats have a subsequent geospatial relationship with respect to the at least one asset; (d) receiving from the user an updated threat level for at least one of the two or more threats for the subsequent version of the battlefield environment visualization; and (e) reiterating steps c and d at least once to create a training data set of updated threat levels for changing subsequent geospatial relationships of threats relative to the at least one asset.

The invention provides a war display method and device, electronic equipment and a storage medium, and relates to the technical field of games. The method can comprise the steps that in response to a war report playback operation, attribute information of all virtual objects in a target historical combat round is obtained, and the attribute information comprises identifiers of all the virtual objects, three-dimensional coordinates of all the virtual objects in a combat scene and attack parameters of all the virtual objects; and according to the attribute information of each virtual object in the target historical combat round, displaying a three-dimensional combat interface, and displaying a three-dimensional fight scene of at least part of the target virtual objects in the target historical combat round on the three-dimensional combat interface. According to the embodiment of the invention, the three-dimensional fighting scene of at least part of the target virtual object in the target historical combat round can be displayed through the three-dimensional combat interface, so that the battlefield situation awareness of players is improved through the three-dimensional fighting scene, and the players can carry out three-dimensional strategy analysis and accumulate combat experience based on the three-dimensional fighting scene.

The present invention discloses a war game deduction and confrontation system for logistics support, which relates to the technical field of logistics support. The technical key points are as follows: It includes a map unit, an operator unit, a weapon system, a behavior system, and a deduction system; the operator unit includes logistics operators and combat operators; the behavior system includes a strike behavior unit, a logistics behavior unit, and other behavior units; the deduction system includes a deployment phase unit and a plan execution phase unit; the deduction rules of the deduction system include line-of-sight rules, reconnaissance rules, mobility rules, aircraft takeoff and landing rules, strike rules, battle damage rules, military transportation rules, fuel rules, military supplies rules, medical service rules, camp material rules, command post rules, and victory and defeat adjudication rules; the present invention facilitates the derivation of war game rules through long-term battlefield experience summary and formula deduction, quantitatively analyzes each part of the battlefield environment into parameters, and gives meaning to the values of various operators on the computer war game screen, making the conclusions obtained from war game deduction more in line with the actual battlefield.

The invention discloses a land battle scene data set generation method and device based on a Unity engine, and the method comprises the steps: S1, building at least one virtual local land battle battlefield environment in the Unity engine based on the Unity engine; s2, in each virtual local land battle battlefield environment, setting of a preset actual combat scene is completed, multiple preset target parameters are correspondingly set, and the multiple target parameters at least comprise environment parameters, equipment parameters and camera shooting parameters; and S3, controlling the Unity engine to run a preset actual combat scene, and generating an environment reconstruction data set. On the premise that a scene and an equipment model with relatively high authenticity can be obtained, the method has the advantages that a large amount of image data which can be used for training a neural network can be generated in a virtual land battlefield environment; the difficulty of acquiring land battlefield data in reality and the huge workload of marking massive image data are avoided, so that the efficiency of training related neural networks is improved.

The invention discloses an intelligent judgment decision-making system in red-blue confrontation training, and the system comprises a multi-source battlefield data collection module which is used for obtaining the military strength states of red and blue parties and a battle event in real time, and generating real-time battle situation data; the intelligent behavior simulation and confrontation judgment module is used for driving a blue military target to act based on the real-time battle situation data and outputting a hit part and damage grade judgment result; the multi-dimensional battlefield evaluation and redisk analysis module is used for carrying out battlefield damage statistics and capability evaluation and supporting two / three-dimensional situation playback and key event reproduction; and the closed-loop feedback and guidance intervention module is used for dynamically adjusting the confrontation intensity according to the evaluation result and the training target, and realizing real-time intervention of the blue army action strategy and closed-loop regulation of the training process. According to the embodiment of the invention, objectization, intelligentization and process of red-blue confrontation training judgment can be realized, and the fidelity, the evaluation accuracy and the group training efficiency of military training are improved.

The invention discloses a battlefield situation visualization method and system. The method comprises the steps that a reconnaissance front end analyzes and plans tasks of the reconnaissance front end according to actual conditions of a battlefield before the reconnaissance front end takes off; in the flying process of the reconnaissance front end, modeling is conducted on battlefield conditions and situation targets in real time, and target coordinates are automatically recognized and marked; after the reconnaissance front end completes the reconnaissance task of the whole battlefield, the target property, position and state of the whole battlefield are marked on an electronic map, the threat degree is calculated, and an attack list or a firepower plan is edited; after a battlefield reconnaissance task is completed by the reconnaissance front end for multiple times, target coordinates, threat degree information and target movement tracks of a battlefield in different time periods are marked on an electronic map, and situation evolution is displayed according to a time axis; the method has the advantages that global, associated and dynamic perception of the battlefield situation is realized, so that rapid and accurate decision information can be provided for a commander.

This invention relates to a visualization control method and system for the aggregation and deaggregation of combat formations, belonging to the field of data visualization technology. The method includes: establishing entity triples based on the entities within the combat formation and the entity relationships between them; constructing a knowledge graph; and storing the constructed knowledge graph in a combat formation graph database; establishing rules for switching between aggregation and deaggregation displays based on the map scale; and determining whether to perform aggregation and deaggregation display switching for combat formations in the battlefield situation; and performing aggregation or deaggregation display based on the results of the aggregation and deaggregation display switching determination. The method and system provided in this application can switch between aggregation and deaggregation displays for combat formations in the battlefield situation according to user needs; aggregation display can reduce the overlapping and chaotic phenomena in situation display, accelerate situation recognition speed, and improve display smoothness; and during deaggregation display, combat formations can be displayed accordingly based on user needs.

The invention discloses a computer war game combat system, which comprises an army module, a battlefield module and a combat settlement module, and is characterized in that the army module comprises a plurality of sub-units, each sub-unit is an independent single weapon, and each sub-unit is composed of a plurality of personnel; the battlefield module is used for calculating the width of a battlefield according to the attacked plot and determining the position of the battlefield and the number of receivable troops; the combat settlement module calculates damage according to a damage formula every day, carries out damage judgment, calculates casualties and organization degrees according to results, and updates troop states. The battlefield width, the army combat width and the inter-army width are set, the space limitation and combat conditions of the army on the battlefield are simulated more truly, and the situation that a user obtains improper advantages through an unreasonable army compilation mode is avoided; and meanwhile, the combat settlement module adopts a new calculation formula for calculation according to the attributes of different weapon types, so that the strategy and authenticity of the game are increased, and the user can better formulate strategies and tactics according to the characteristics of the different weapon types.

This invention discloses a multi-level AI architecture for wargaming, including a computational engine for acquiring battlefield information and transmitting it to a combat intent layer, a task allocation layer, and an operator action layer; receiving and executing actual operator action instructions output by the operator action layer; the battlefield includes the combatant and the enemy; the combat intent layer is used to determine the current battlefield situation based on battlefield information and generate tactical intentions; the task allocation layer is used to generate an operator task list based on battlefield information and tactical intentions; the operator action layer generates actual operator action instructions based on battlefield information and the operator task list; this improves the accuracy of wargaming while reducing the complexity and time consumption of decision-making calculations.

The invention discloses a battle damage equipment importance degree evaluation system and method, and the method comprises the steps: building a battle damage equipment importance degree evaluation index system, and building a function relation expression according to the relation between index levels; obtaining subjective and objective weights by using an analytic hierarchy process and an entropy weight method; determining the weight of the past moment; determining the weight of trend prediction; determining the weight of the situation mutation; respectively weighting by using different types of weights to obtain judgment matrixes under different conditions; different bias coefficients are set, and the past moment judgment matrix and the trend prediction judgment matrix are combined; different bias coefficients are set, and the past moment judgment matrix and the situation mutation judgment matrix are combined; and calculating the closeness by using a TOPSIS method, and sorting the importance of the equipment. Compared with the prior art, the weight determination is more reasonable, the dynamic change of the equipment importance degree along with the battlefield condition can be fully reflected, and the evaluation result is more in line with the battlefield reality.

The application discloses a sea battle reasoning method based on mixed granularity events, which comprises the following steps: determining important terms and concept words in the field and application range of ontology according to knowledge data of a battle knowledge base; establishing a vocabulary list according to the important terms and concept words; defining the ontology class and the hierarchy of the class, determining the parent-child relationship and parallel relationship between the classes according to the vocabulary list; defining the attributes and attribute constraints of the class, and obtaining a sea battlefield combat event ontology model; implementing instantiation on the sea battlefield mixed granularity combat information through the sea battlefield combat event ontology model, obtaining a plurality of sea battlefield combat events and storing the events in a battle rule knowledge base; reasoning the obtained sea battlefield combat events according to a BN reasoning engine module, and obtaining a sea battlefield combat event to be executed at the next moment. The method is convenient for describing the key events, semantic elements and the relationship between the events of the sea battlefield combat, and greatly improves the efficiency of the deduction of the sea battlefield task through the analysis of the military field knowledge and the decision-making knowledge of the commander.

Provided is a game system 1 that is a system for a game, the system having a plurality of information processing devices 10, the game including a story game and a battle game, battle presentation information with respect to terminal devices 10 of battle players of a battle in the battle game being calculated by using production information for the story game, and the battle being observable at a terminal device 10 of a battle-observation player, at least one of the information processing devices 10 including a battle-observation-presentation-information calculation unit 52 that calculates battle-observation presentation information with respect to the terminal device 10 of the battle-observation player of the battle on the basis of production information based on a progress level of the battle-observation player in the story game and input information related to the battle.

The invention discloses a multi-modal perception optimization method and system based on domain knowledge enhancement. The method comprises the following steps: acquiring multi-modal battlefield sensing data, performing space-time synchronization and military feature extraction, and constructing a standardized battlefield state vector; the method comprises the following steps: constructing a three-layer military domain knowledge constraint model of a battlefield structure geometric knowledge model, a combat tactical rule knowledge model and a weapon equipment physical motion consistency knowledge model, and outputting a battlefield structure geometric constraint term, a combat tactical rule constraint term and a weapon equipment physical motion consistency constraint term, and respectively evaluating the consistency of geometric structure features in the battlefield state vector and a battlefield prior structure, target state transition in the battlefield state vector, combat tactical logic and the like. According to the method, through a three-layer domain knowledge constraint and knowledge trigger type compensation mechanism, perception errors are effectively inhibited, optimization failure caused by data missing is avoided, and perception stability and reliability are remarkably improved.