309 results about "Game engine" patented technology

The invention discloses a financial network security defense method and system based on multiple Agents and a dynamic large model. A detection Agent is deployed in an edge layer, financial network node flow data and system logs are collected in real time, time sequence features are extracted through a lightweight convolutional network, and a preliminary anomaly score is generated. And the cloud layer constructs a decision Agent, receives the feature abstract transmitted by the edge node in an encrypted manner, inputs the feature abstract into a dynamic large model for multi-modal feature fusion, and outputs defense action probability distribution. And the intelligence Agent constructs a cross-institution federated learning network. And constructing a dynamic game engine, constructing a revenue matrix based on the attack cost and the defense revenue, solving a Nash equilibrium strategy, and generating an optimal defense instruction set. And dynamically allocating detection tasks according to the threat level and the edge computing power state. According to the method, efficient acquisition and analysis are realized, the abnormal behavior recognition capability is improved, support is provided for making a defense strategy, the defense strategy is optimized, and the intelligent, automatic and efficient levels of defense are improved.

The invention discloses a production line operation monitoring system based on a digital twin technology, and the system comprises a data collection module which is used for collecting the data of each task in a production line; the scheduling unit construction module is used for mapping each task instance in the virtual task relationship into a cat-shaped scheduling unit and initializing a role field based on a preset threshold value; the scheduling game engine module is used for executing a combat cat algorithm on the game model and generating a scheduling scheme set comprising a plurality of candidate scheduling schemes; the simulation evaluation module is used for executing simulation evaluation on each candidate scheduling scheme in the digital twin environment to obtain a corresponding task completion rate, a resource utilization rate and a system load balance degree; and the strategy management module is used for sorting the candidate scheduling schemes according to the simulation evaluation result and screening the current optimal scheduling scheme. According to the invention, intelligent production task scheduling, real-time response and strategy adaptive optimization are realized.

The invention discloses an AR (Augmented Reality) game camera system based on combination of live-action and 3D (Three-Dimensional) game elements, which comprises a live-action acquisition module for acquiring RGB (Red, Green, Blue) images and depth information, and processing the RGB images to form a real-time video stream; the semantic segmentation module is used for carrying out semantic segmentation on the real-time video stream, identifying an interactive surface and establishing a dynamic interactive region topology database; the virtual element generation module is used for constructing a 3D model library based on a game engine and dynamically matching the 3D model library with the live-action collection information through an adapter interface to generate virtual elements; the virtual-real fusion engine adopts a multi-layer rendering pipeline technology to realize seamless fusion of virtual elements and a real environment; the interactive response module is used for realizing interactive response between the player and the virtual object; and the adaptive calibration module is used for adjusting parameters of the SLAM algorithm according to the semantic segmentation result. According to the method, accurate fusion and natural interaction of the virtual elements in a complex real scene are realized, more immersive user experience is provided, and high precision and stability can be kept in different environments.

The embodiment of the invention provides a small game general graph rendering method and device based on a layered architecture, decoupling of an operation system and a game engine is realized through a window abstraction layer, and core operation is packaged into a unified game canvas interface. And standard interfaces such as scene initialization, object drawing and animation updating are provided in the rendering implementation layer, so that a real-time rendering function is realized. A language binding layer is innovatively designed, efficient conversion between a script engine and a native code is achieved through a state object and a parameter analyzer, and automatic recovery of resources is ensured by adopting a weak reference mechanism and end callback. According to the method, the platform limitation of a traditional rendering system is broken through, and a lightweight and cross-platform general rendering solution is provided for small game development.

The invention discloses a marketing prediction intelligent analysis method and system based on machine learning, and the method comprises the steps: generating a competition relation matrix between commodity categories through an ecological niche competition model, and achieving the strategy diversity maintenance through combining the strategy feature coding of a dynamic strategy pool with a red queen adjustment mechanism; and multi-strategy game simulation is carried out by using an ecological game engine, an optimal strategy combination is calculated and output through Nash equilibrium, and finally parameters are optimized based on a real-time feedback closed-loop link. According to the technical scheme of the invention, through a competition-game-feedback dynamic balance mechanism, autonomous emergence of a cross-category co-evolution strategy is realized, the environmental adaptability and evolution ability of a marketing strategy are significantly improved, the problem of strategy stiffness caused by manual rule dependence is overcome, and an intelligent decision-making system with an ecological self-organization characteristic is formed.

The invention discloses a game generation method and device, a storage medium and computer equipment. The game generation method comprises the steps of obtaining a game development demand based on natural language interaction; generating game content data based on the game development demand; and driving a game engine based on the game content data to obtain a target game. By means of the method, the game content data can be automatically generated according to the game development requirements, the target game capable of driving the game engine to run is finally generated, efficient and high-quality game generation is achieved, the game development efficiency is improved, the game development threshold is lowered, the game development requirements of more developers are met, and the game development efficiency is improved. The illusion problem occurring in the game code generation task is relieved, the game code capable of well running is generated, and the adverse effect of redundant codes existing in the generated game on the game performance is avoided.

There is provided a method, comprising: accessing a candidate gaming scenario associated with a desired outcome(s) of users interacting with a gaming engine implementing the candidate gaming scenario, identifying, in the gaming engine, a sub-set of the users interacting with the gaming engine for analyzing the candidate gaming scenario implemented by the gaming engine, virtually implementing the candidate gaming scenario by the gaming engine for interaction by the users as if the candidate gaming scenario is not virtually implemented, collecting data on the sub-set of users, computing a game related result(s) predicted to occur when the new gaming scenario is explicitly implemented by the candidate gaming engine using the data collected for the virtually implemented candidate gaming engine scenario, and in response to the game related scenario(s) meeting a target, explicitly implementing the candidate gaming scenario for interaction by the users.

The invention relates to a game implementation method and device based on a vehicle-mounted terminal and a storage medium. The vehicle-mounted terminal is configured with a game platform and a game engine, a plurality of games are packaged on the game platform, and the game implementation method comprises the steps that in response to a starting instruction for a target game input by a user through the game platform, starting information of the target game is obtained; opening the target game by using a game engine based on the opening information of the target game; and displaying a game picture of the target game through a display screen of the vehicle-mounted terminal.

The invention discloses a vehicle structured damage simulation method based on a game engine, which comprises the following steps: analyzing the structural composition of an armored vehicle, analyzing the function of a component structure contained in the armored vehicle, and analyzing the influence of the damage of the component structure on the action of the armored vehicle; performing three-dimensional modeling on the appearance and the component structure of the armored car, and making chartlets; setting motion logic of the armored car; calling the motion animation, and controlling the behavior of the armored car and the energy consumption during motion; all levels of the armored car are imported into a game engine, damage logic, armored values of all component structures, the total life value of the armored car and the influence on the total life value when the component structures are damaged are set; model replacements are determined when the component structure is subject to different damage. According to the invention, the part-level damage effect and the influence of part damage on the behaviors of the armored car are realized, the damage effect on the part structure is simulated, and the influence of part damage on the behaviors of the armored car is simulated.

The invention discloses a three-dimensional voxel geometry collision detection method based on feature layering and multiple detection strategies, and relates to the technical field of computer graphics and game engines, the method comprises bit compression storage optimization, feature layering extraction and multiple collision detection, through the feature layering and multiple detection strategies, the unnecessary calculation amount is effectively reduced, and the detection efficiency is improved. The overall performance of the algorithm is improved, efficient memory compression is achieved while the detection precision is guaranteed, the requirement for computing resources is reduced, the technology can stably run in the resource-limited environment, unified collision detection processing of various geometries is supported, the universality and flexibility of the system are improved, and the system performance is improved. According to the method, integration and application in different application scenes are facilitated, the real-time rendering capability is optimized, the mobile terminal and the VR equipment are supported to run a complex physical simulation scene at a high frame rate, and the user experience and the interaction effect are improved.

The invention belongs to the technical field of game rendering, and discloses an instant light color rendering system for a game scene, which comprises the following steps: collecting scene illumination information based on a game engine, and generating initial illumination data; carrying out heterogeneous light source data fusion processing to generate integrated illumination data; performing multi-dimensional illumination attribute clustering analysis and feature extraction to generate illumination feature data; performing scene region division processing, and constructing region illumination feature data; performing regional material-illumination interaction feature analysis to obtain interaction feature data; performing illumination propagation characteristic analysis to generate propagation characteristic data; designing a region rendering priority prediction engine; transmitting the feature data in real time to perform rendering demand intelligent analysis; performing global instant light color rendering adaptive decision analysis to form a rendering decision; adjusting the initial illumination data according to the decision, and executing instant light color rendering of the game scene; and the visual expressive force and the rendering performance of the game are greatly improved.

The invention relates to a subway emergency evacuation identification system utility test and evaluation method, in particular to a simulation experiment evaluation method based on BIM (Building Information Model), Unity (game engine) and VR (Virtual Reality) technologies. According to the method, firstly, a subway emergency evacuation identification system experiment test platform integrating BIM, Unity and VR technologies is constructed; the platform can simulate the performance of the subway emergency evacuation identification system in a fire emergency event, and assesses different emergency evacuation identification systems. Further, according to the method, volunteers are recruited for experimental testing, and evacuation behavior parameters and visual gazing parameters of passengers are collected and analyzed. Finally, an all-dimensional and multi-dimensional index system is constructed, and the effectiveness of the emergency evacuation identification system is comprehensively evaluated by adopting a coupling coordination degree model, so that the safety, reliability and high efficiency of the emergency evacuation identification system in an emergency are ensured.

The invention relates to the technical field of data loading, in particular to a game virtual object resource dynamic loading method and system.The method comprises the steps that original loading delay data of a virtual object in a dynamic scene is collected, and correction data is obtained through preprocessing; analyzing system load data in real time, and quantifying resource allocation fluctuation quantity caused by load fluctuation; based on the fluctuation quantity and the correction data, controlling the loading delay within a preset performance range through a feedback control algorithm, and collecting resource occupation distribution data at the same time; testing resource operation states under different scheduling strategies by using a performance simulation method, and generating a simulation result; determining resource scheduling optimization parameters through an optimization algorithm in combination with the game frame rate fluctuation data and the simulation result; finally, a game engine loading mechanism is adaptively adjusted based on parameters, dynamic response to load change and delay fluctuation is achieved, resource scheduling rationality and loading efficiency are improved, and the problems that delay control lags behind and optimization capacity is insufficient in a traditional static scheduling strategy are solved.

Disclosed are techniques for just-in-time (JIT) game development and gameplay. A system can include an oracle having AI models, the oracle being called by a game engine during JIT game development and JIT gameplay, and a data store that can be configured to store data field entries in encyclopedias that can be associated with JIT game worlds for respective players at their respective user devices. The game engine can perform a process including: receiving user input from a user device of a player, providing the JIT gameplay to the user device for presentation in one or more graphical user interfaces based on processing, by the oracle, the user input, and generating, simultaneously or in parallel, updates to the data field entries in an encyclopedia associated with the JIT game world for the player based on processing, by the oracle, the user input and the JIT gameplay.

A Multisensory Simulation System comprises systems including: an Omni-Directional Treadmill (ODT), a Gravity Modification System (GMS), a Motion and gesture Tracking System (MTS), a Data Analytics System (DAS), a Visual Stimulation System (VSS), an Auditory Stimulation System (AUSS), an Operator Interface System (OIS), a User Harness System (UHS), a Tactile Stimulation System (TSS), an Atmospheric Simulation System (ATSS), a Neurological Stimulation System (NSS), an Olfactory Stimulation System (OSS), a Gustatory System Stimulation System (GSS), a User Monitoring System (UMS), a Controller, a Game Engine System (GES), database, a Communication Unit (CU), a User Safety System (USS), and a communication bus.

The invention discloses a virtual model processing method and device, electronic equipment and a storage medium. The method comprises the steps that at least two model materials of a to-be-processed virtual model are acquired; obtaining at least one type of replacement parameters corresponding to the model material through at least one target function node of a target game engine; and based on the replacement parameters and the replacement maps corresponding to the model materials, performing material superposition processing to obtain a processed target model material of the virtual model. By setting a plurality of target function nodes, a real mixed model material with an undulating replacement effect can be created, the authenticity and the simulation effect of the appearance effect of the obtained virtual model are improved, programming of the manufacturing steps of the model material with the replacement effect and the mixed effect is realized, and the manufacturing efficiency of the model material is improved. A real fluctuating complex appearance effect can be rapidly manufactured, and the virtual model manufacturing efficiency is improved.

The invention provides a long-time reference frame selection and updating method, device and equipment based on rendering scene state driving and a storage medium. The implementation method comprises the following steps: acquiring rendering scene state information from a game rendering engine; inputting the rendering scene state information into a rendering scene information processing module; the rendering scene information processing module generates a long-time reference frame control command matched with the format of the video encoder; and the video encoder executes the long-time reference frame control command for encoding. Through a long-time reference frame selection mechanism based on semantic driving, an encoder can receive a long-time reference frame decision command made based on game engine scene state information in real time, long-time reference frame judgment based on semantics is achieved, long-time reference frame judgment of the encoder based on image pixels is avoided, and the accuracy of the long-time reference frame judgment is improved. And the long-time reference frame selection speed and accuracy are improved. When it is detected that the scene is unloaded by the game engine, the system can automatically clear the corresponding LTR reference frame set, and wrong reference to old frames is avoided.

A system is provided for control of an entertainment state system having segregated secure functions and public functions for use by one or more users of the system. First, a public interface portal receives instructions regarding operation of the entertainment state system from the one or more users. The interface portal includes a first interface, a processor, a graphical user interface (GUI) coupled to the processor, a control unit in operative communication with the processor and graphical user interface, and a second interface providing an application program interface (API). Secondly, a secure entity unit is provided, the secure entity unit including a receive interface, the receive interface adapted to receive a call from the application program interface (API) of the interface portal, a send interface, the send interface adapted to provide a response to the interface portal interface, a game engine, and a financial engine.

The invention provides an end-cloud unified three-dimensional rendering interface framework, belongs to the technical field of computer graphic rendering, and solves the problems that end rendering and cloud rendering interfaces are not unified and development and maintenance are complex in the prior art by compiling a unified development framework. According to the framework, by introducing a layered framework comprising a unified rendering API, a rendering mode adaptation layer and a rendering execution layer, abstract packaging of bottom layer rendering technologies (such as WebGL / WebGPU, game engine pixel flow and the like) is achieved. According to the method, an application program is allowed to be intelligently and transparently switched between an end rendering mode and a cloud rendering mode through the same API according to conditions such as equipment performance and network conditions. According to the method, the development complexity of cross-platform three-dimensional application can be remarkably simplified, the terminal or cloud computing power is fully utilized to optimize the rendering performance, the consistent experience on different devices is ensured, and the method is particularly suitable for the fields of smart cities, digital twinning, universal three-dimensional visualization and the like.

A framework trains game-engine-like neural models from annotated videos to generate a Learnable Game Engine (LGE) that maintains states of the scene, objects and agents in it, and enables rendering the environment from a controllable viewpoint. The LGE models the logic of the game and the rules of physics, making it possible for the user to play the game by specifying both high- and low-level action sequences. The LGE also unlocks a director's mode where the game is played by plotting behind the scenes, specifying high-level actions and goals for the agents using text-based instructions. To implement the director's mode, a trained diffusion-based animation model navigates the scene using high-level constraints, to enable play against an adversary, and to devise the strategy to win a point. To render the resulting state of the environment and its agents, a compositional neural radiance field (NeRF) representation is used in a synthesis model.

The invention discloses a general game development engine system based on OpenGL (Open Graphics Library). The general game development engine system comprises an application program control module and an application program module, the application program module comprises an input processing module, a terrain module, a game AI module, a GUI graphical interface module and a rendering output module; the control module is used for initializing an OpenGL environment and calling a terrain in the program module, and the GUI module is used for initializing game pictures; calling an input processing module to obtain input data of a user, and calling a game AI module to perform interaction between the user and a game picture; updating data of the terrain, the GUI, the sound effect and the game AI module; a rendering output module is called to form a specific game picture and render the game picture, a game cycle of initialization-data updating-picture rendering is constructed, and a complete game cycle is formed; the 3D / 2D game engine framework based on the OpenGL is created by integrally designing components and modules necessary for a general game engine, and a game project is quickly constructed.

The invention provides a game development virtual role modeling method and system combined with a generative adversarial network, and relates to the technical field of game development, and the method comprises the steps: firstly generating a game scene role cooperative constraint set comprising game scene dynamic parameters, role function positioning parameters and scene role interaction rules; building a dynamic interactive generative adversarial network comprising a scene feature mapping module, a role structure generation module and an action appearance collaboration module; performing bidirectional feedback training on the network based on the collaborative constraint set, and generating a role initial modeling data set; performing collaborative optimization on the initial data set through action appearance linkage generation logic to obtain a role optimization modeling data set; finally, the optimized data set is converted into a role model file compatible with a game engine, training parameters are output, and efficient and high-quality virtual role modeling is achieved.

There is provided a computer implemented method of integration of a game engine with a service engine, comprising: obtaining a source code operative to implement a game engine designed to interact with multiple players, obtaining aspects-to-be-revealed selected from a set of candidate data elements indicating interaction of the players with the game engine, applying a machine learning (ML) model to a combination of the source code and to the selected aspects-to-be-revealed, wherein the ML model is pre-trained to identify region(s) in the source code to be modified to convey, to the service engine, the selected aspects-to-be-revealed including data element(s) indicating interaction of the players with the game engine, and receiving, from the ML model, at least a suggestion indicating modification of the region(s) of the source code to send the selected aspects-to-be-revealed including the data element(s) to the service engine, during interaction of the players with the game engine.

The invention provides an active defense AI self-aiming method based on micro rendering, and the method comprises the steps: 1, superposing disturbance on a two-dimensional texture map, and generating an initial confrontation texture; step 2, setting a micro-renderable environment and performing parameter randomization; 3, micro rendering and background fusion are executed, and a composite image closer to a real game picture is generated; 4, acquiring a detection result of each target detection model on the image; 5, calculating a multi-target joint adversarial loss function; step 6, performing back propagation optimization and disturbance updating; step 7, iterative optimization is carried out, and a final texture with deception AI auto-collimation is generated; and step 8, replacing the original texture image of the corresponding role in the game client with the generated confrontation texture image, and automatically loading and rendering the role by using the confrontation texture image when the game engine runs. According to the method, the recognition process can be effectively interfered before the cheating behavior occurs by introducing the antagonistic disturbance to the texture level.

The embodiment of the invention provides an intelligent game engine configuration file analysis method and device, equipment and a storage medium, and relates to the technical field of artificial intelligence. The method comprises the steps of obtaining at least one initial configuration YAML file of an intelligent game engine, extracting configuration items and configuration parameters from the initial configuration YAML file, generating at least one target configuration class according to service logic and configuration types, generating field names and field types of the target configuration classes according to the configuration items, and sending the field names and the field types to the intelligent game engine. And generating attribute values corresponding to the field names according to the configuration parameters, performing parameter verification on the configuration parameters based on attribute rules, and instantiating the target configuration class to obtain a configuration file analysis result after all the attribute values pass verification. In the prior art, the analysis process is complex and the calculation amount is large. In the embodiment, the data in the initial configuration YAML file is directly mapped to the attribute of the class object, so that each hierarchy is prevented from being analyzed one by one, and the processing speed and efficiency of the configuration related data are improved.

The invention discloses a digital twin analog simulation engine construction method fusing a GIS engine and a game engine, and the method achieves the fusion of a GIS rendering pipeline and a game engine rendering pipeline through constructing a multi-source heterogeneous data loading and rendering technology which is weakly coupled with the rendering pipeline. The method not only supports loading and fusion of massive multi-source heterogeneous data, but also supports switching of different rendering pipelines and direct loading of game scenes, solves the problem of multi-source heterogeneous data loading which neither a GIS engine nor a game engine, is also compatible with different rendering pipelines, especially the rendering pipelines of the game engine, and is suitable for large-scale application. And a bottom layer support is provided for high-fidelity rendering. The method also solves the contradictions that the GIS engine supports large-volume image topographic data loading but the rendering quality is poor, and the game engine topographic system is perfect, the rendering quality is high, no geographic information attribute exists, and large-volume topographic data loading cannot be borne.

The invention provides a multi-source heterogeneous data unified processing method and system based on a dynamic script engine, and relates to the technical field of game engines and software development.The multi-source heterogeneous data unified processing method comprises the steps that multiple game engine protocol signals are converted into a unified intermediate representation format, and meanwhile asset specification parameters and engine compatibility identifiers are extracted and injected into the unified intermediate representation format; forming enhanced asset data; analyzing and verifying the dynamic script codes, converting byte codes to load a memory, and establishing a dynamic script hot update mechanism; concurrently loading enhanced asset data according to a mechanism state, recording an error when the enhanced asset data fails, triggering an exception, and switching a standby path for reloading; finally, the asset format is converted into a target engine native format, algorithm parameters are updated by means of a hot updating mechanism to optimize quality, it is ensured that the target engine requirements are met, asset data enhancement, dynamic script hot updating, concurrent loading fault tolerance and asset format conversion and quality optimization can be achieved, and it is ensured that assets meet the target game engine requirements.

The invention provides a business operation simulation system based on human-intelligent fusion, and the system is characterized in that the system comprises a human-computer interaction module which receives behavior data of a user; the object number linkage module is used for carrying out linkage on a real object and a real environment through the Internet of Things to obtain object number linkage data; the anthropomorphic agent module comprises an anthropomorphic agent simulating a real user and generates anthropomorphic agent interaction data; the object simulating agent module comprises an object simulating agent for simulating a real implement and a real environment and is used for generating object simulating agent interaction data; the market simulation agent module comprises a market simulation agent of the market corresponding to the simulation business and generates an operation plot and task data; and the business operation game engine module is used for carrying out operation simulation and deduction on the business according to the behavior data, the object number linkage data, the anthropomorphic agent interaction data, the object-imitated agent interaction data and the operation plot and task data. In a word, the method can simulate and deduce the business close to reality.

The present invention relates to an AI-based real-time interactive media art system, which is a technology that provides an immersive art experience by having AI analyze a viewer's movements, facial expressions, colors, and voice to generate customized media content and outputting it in real time using a 3D game engine. The system includes cloud-based AI analysis and 3D environment integration, and has a function in which the background, colors, and sounds change dynamically according to the speed of the user's actions.

Systems and methods are described for music notation level generation that can translate commonly used music notation into information that can be used within a game engine to create music based levels and games; an audio recognition engine capable of detecting individual pitches, chord tones, and multi-note sounds all simultaneously and in real-time, for game interactions, as well as identifying and isolating individual players' audio in order to create a real-time collaborative gaming experience; real-time audio to music notation parsing that can utilize real-time pitch detection and internal timing plus metronome features in the audio engine to hear what a player is playing on their instrument, then translate that to sheet notation and further into configuration files facilitating instant user-created levels in game; and machine-learning based content generation to generate personalized in-game content for players, for instance through the use of large language models.