672 results about "Computer graphics" patented technology

The invention discloses a complex material-oriented global full-frequency illumination neural rendering method and system, and belongs to the technical field of computer graphics, and the method comprises the steps: querying and extracting a primary frequency feature and a secondary frequency feature in a neural feature field according to the primary geometric buffer and the reflection geometric buffer of a rendering pixel; performing weighted combination on the primary frequency features and the secondary frequency features through a double-frequency fusion module to form full-frequency fusion features; inputting the full-frequency fusion feature and the initial geometric buffer into a decoder to obtain a pixel radiation brightness value; and optimizing the network by adopting a double-stage training strategy of low-frequency data and multi-frequency data, and then using the optimized network for neural drawing of global full-frequency illumination. The method can improve the accuracy and stability of global illumination simulation in a complex dynamic scene, and is suitable for modeling a multi-frequency global illumination effect in a dynamic three-dimensional scene.

The invention relates to the technical field of computer graphic interactive processing, in particular to a real-time interactive image generation system based on a multi-point touch canvas. The input acquisition unit is used for acquiring original touch data from an operating system and preprocessing the original touch data; the gesture recognition and analysis unit is used for performing high-level semantic behavior analysis on the contact data sequence processed by the preprocessing module; the interaction control and parameter mapping unit is used for receiving the semantic event output by the gesture recognition and analysis unit, analyzing the semantic event into an image control command and generating an executable command sequence; and the image generation unit generates interactive image content dynamically responded in real time based on an internal graph state management mechanism. By introducing the adaptive Kalman filtering and trajectory prediction auxiliary mechanism, the filtering intensity of the contact data can be dynamically adjusted, the efficient suppression of finger jitter and the consistent reconstruction of the contact ID are realized, and the input stability and data continuity under the multi-point touch operation are remarkably improved.

The invention discloses a point cloud model rendering optimization method and system based on cloud edge collaboration, and belongs to the field of computer graphic processing, and the method comprises the steps: carrying out the spatial partitioning of multi-stage point cloud data, generating a point cloud hierarchical structure which can be quickly accessed, building a user portrait model, and predicting the region of interest of the user portrait model; the multi-level LOD point cloud data structure is distributed to an edge computing node, the current network state is evaluated in real time, and if the local cache of the edge node cannot meet the rendering requirement, the edge node adaptively requests for cloud incremental data; the client receives the data blocks from the edge nodes and uploads real-time interaction data to the edge nodes; and the client interaction record and the edge node cache hit rate are transmitted back to the cloud end, and the cloud end performs iterative optimization on a point cloud data distribution strategy by using a reinforcement learning model. According to the method, priority loading and high-precision rendering of the region of interest are achieved by constructing the multi-level LOD point cloud data structure, the delay and jamming phenomena are effectively avoided, and the user interaction experience is improved.

The invention discloses a self-adaptive 4D Gaussian splashing high-precision three-dimensional reconstruction system and method, and belongs to the technical field of computer graphic processing. The invention aims to realize high-precision automatic registration of multi-source heterogeneous data and improve the calculation efficiency. The method comprises the following steps: collecting multi-source heterogeneous data; constructing a multi-modal fusion registration method, which comprises the following steps: combining satellite image data and low-altitude oblique photography data to realize spatial distribution geometric coarse registration, fusing low-altitude laser radar point cloud data and ground acquisition vehicle laser radar point cloud data to realize luminosity fine registration, establishing semantic features to assist registration, and obtaining registered multi-source data; initializing a 4D Gaussian primitive and executing adaptive splashing reconstruction to obtain an optimized 4D Gaussian splashing model; designing a cloud edge cooperative computing architecture oriented to 4D Gaussian splash reconstruction, and performing distributed parallel processing on the obtained optimized 4D Gaussian splash model; and executing quality evaluation and adaptive optimization, and outputting a final adaptive 4D Gaussian splash model.

A full-automatic movie and television video production system based on digital actors belongs to the field of artificial intelligence, computer graphics and movie and television production and comprises a creative engine unit, a production unit, an intelligent shooting unit, a post-processing unit and a quality inspection and rendering unit. The method has the advantages that 1, the manufacturing efficiency is greatly improved, the traditional film and television manufacturing period is usually 6-12 months, the manufacturing period can be shortened to 4 hours by the method, and the efficiency is improved by about 1000 times; 2, the manufacturing cost is obviously reduced: the manufacturing cost of traditional movies and other movies is usually 5 million to 20 million dollars, but the method only needs the computing power cost, and the cost is less than one percent of that of the traditional movies; 3, the style consistency is guaranteed, traditional film and television production depends on personal ability, the style consistency is difficult to guarantee, and the style consistency is strictly guaranteed through an algorithm and is improved by 100%.

The invention relates to the technical field of computer graphics, and provides a rendering method and device for a static scene under a dynamic view angle, equipment and a medium, and the method comprises the steps: obtaining a future view angle probability cloud picture of a preset frame number according to the historical behavior data of a user and a hybrid neural network view angle prediction model; dividing a pre-rendering static scene of at least one target pre-rendering view angle based on a preset dynamic semantic weight matrix to obtain layered baking data; obtaining target optical flow data of a target adjacent view angle adjacent to the current view angle from a preset optical flow mapping table; during view angle switching, dynamically mixing a static scene rendered in real time at the current view angle and a static scene pre-rendered according to a pixel displacement relation based on target optical flow data to obtain scene mixed data; and rendering based on the scene mixed data to obtain a target static scene. The problem of real-time high-quality rendering of the static scene under the dynamic view angle can be solved.

The invention relates to the fields of computer graphic processing, industrial software technology and the like, discloses a Cocos engine-oriented pipeline loop perception linear decomposition method, and aims to solve the problem that a complex topological graph which cannot be effectively processed and comprises a high-density nested loop in the prior art. The structure is completely and accurately decomposed into a linear drawing instruction sequence which can be accepted by a Cocos engine, and lossless conversion of original topological information is ensured; comprising the steps that after undirected topological graph data are input, a ring detection algorithm is called to recognize and record all independent ring structures in an undirected topological graph and nodes and edges contained in the independent ring structures; judging whether at least one ring is detected in the previous step, and if the at least one ring exists, assigning a determined traversal direction for each detected ring according to a preset ring direction rule; and if the ring does not exist, skipping, and directly performing depth-first search traversal on the undirected topological graph data.

The invention discloses an interactive garden design method and system based on landscape garden simulation, particularly relates to the technical field of garden landscape design and computer graphic simulation, and relates to a plurality of modules of environmental data acquisition, three-dimensional modeling, plant growth simulation, water simulation, interactive design, microclimate prediction and the like. According to the method, terrain, climate and soil data are collected through a laser radar and multiple sensors, and a standardized environmental map is constructed; generating a plant topological structure based on a context sensitive type L system, and simulating a growth process by adopting a Logistic function in combination with an environmental factor; the method comprises the following steps: realizing dynamic simulation of a water body by utilizing an SPH particle method and a Navier-Stokes equation, and establishing a plant-water body feedback model; and real-time operation and design optimization are supported through a three-dimensional interaction interface. The system has the advantages of being high in ecological adaptability, high in visualization degree, perfect in feedback mechanism and the like, the intelligence and scientificity of garden design are remarkably improved, and the system is suitable for various scenes such as urban green lands and ecological restoration.

The invention discloses a multi-level detail automatic simplification method for an oblique photography live-action three-dimensional model, and relates to the technical field of three-dimensional model simplification and computer graphics, and the method comprises the steps: obtaining oblique photography original data and three-dimensional model basic information; preprocessing the model, performing adaptive Gaussian filtering denoising, improving RANSAC to remove outer points, compressing textures in a blocking manner, correcting mapping coordinates, and repairing a topological structure; extracting multi-scale features; constructing a simplified decision model, and determining a simplification rate and a priority by combining an observation distance, scene precision and hardware performance; performing hierarchical simplification, vertex hierarchical improved edge folding, patch hierarchical adaptive deletion and regional hierarchical grid reconstruction; performing multi-dimensional quality evaluation, and if the requirements are not met, performing backtracking adjustment; and outputting a simplified model stored according to the LOD hierarchy, wherein the simplified model comprises transition information and a simplified log. According to the method, the data quality is improved through refined preprocessing, the simplification pertinence is enhanced through multi-dimensional feature extraction and intelligent decision, and the application value of the model is improved.

The invention discloses a WebGL-based mass data particle system rendering method and device, and belongs to the technical field of computer graphic processing. The method comprises the following steps: firstly, selecting the type of a particle emitter according to scene requirements, then constructing a primitive object based on points or quadrangles, and configuring three-dimensional coordinates and texture parameters; aggregation rendering is carried out on a single-frame primitive array through a WebGL vertex shader and a fragment shader, and the drawing calling frequency is reduced; the method comprises the steps of dynamically adjusting particle attributes, including position compensation, color gradient and explicit-implicit control, determining a rendering form and playing time of an animation according to requirements of an actual application scene, and supporting fine configuration of a single particle, including texture animation, dynamic scaling and rotation parameters. When a large amount of data is processed, on the premise of ensuring the rendering quality, the rendering efficiency can be remarkably improved, the consumption of a memory and GPU resources can be reduced, the response time of the system can be optimized, and meanwhile, the interaction experience of a user can be improved.

The invention discloses a general nerve drawing method and system based on an illumination function generation model, and belongs to the technical field of computer graphics, and the method comprises the steps: collecting light source information containing multi-view observation data, and collecting scene information; constructing an illumination function generation model comprising a light source coding module and a light source decoding module for converting the light source information into neural illumination representation and performing joint inference based on the neural illumination representation and scene features of the drawing points; and generating a final drawn image conforming to the real illumination distribution based on the inference result. According to the method, generalization neural drawing across light sources and scenes can be achieved, images with off-line rendering quality can be generated at the cost close to real-time calculation, the sense of reality, stability and rendering efficiency are considered, and the method has good expansibility and wide application value.

The invention belongs to the technical field of computer graphics and virtual reality, and discloses a virtual-real fusion-based panoramic roaming construction method for a digital exhibition hall, which effectively solves the problems of easy drift and offset in a virtual environment in a traditional system through a multi-sensor fusion algorithm and a closed-loop optimization mechanism. Under the complex environment of people flow change, illumination fluctuation and the like in an exhibition hall, accurate alignment of virtual content and physical space can still be kept, it is ensured that a user obtains coherent and stable visual experience in the roaming process, and a reliable space reference is provided for virtual-real interaction; the light and shadow effect and the material performance of the virtual content are naturally fused with the physical environment through the physical rendering and multi-sensory interaction technology, and meanwhile, a multi-dimensional immersion sense is constructed in combination with the spatial sound effect and interaction feedback; when the user interacts with the virtual exhibit, sensory experience close to reality can be obtained, and the sense of substitution and attraction of the digital exhibition hall are remarkably improved.

The invention discloses a multi-target tracking method, system and device, a medium and a product, and relates to the technical field of computer graphic vision, and the method comprises the steps: based on a plurality of single-view two-dimensional images, employing a lightweight key point detection model to extract human body two-dimensional key point coordinates under different views; based on the camera parameters corresponding to different visual angles and the human body two-dimensional key point coordinates under different visual angles, performing three-dimensional reconstruction on the human body key points by using a triangulation method to obtain a three-dimensional reconstruction model; projecting the three-dimensional reconstruction model, and determining a projection frame corresponding to each target in the tracked area; and a tracking algorithm and Kalman filtering are combined to complete real-time tracking of a plurality of targets in the tracked area. According to the method, the three-dimensional target tracking problem is reduced into the two-dimensional target tracking problem based on the projection frame of the three-dimensional reconstruction model relative to the horizontal plane, the accuracy and robustness of the model can be improved in a multi-target tracking scene, and meanwhile, the calculation amount is reduced.

The invention provides a training-free text-image generation method based on a diffusion model, and relates to the technical field of computer graphic processing and artificial intelligence. The method comprises the following steps: extracting semantic phrases and layout information in an input text by utilizing a natural language model, inputting the input text, the semantic phrases and the layout information as additional conditions into a diffusion model, and extracting cross attention maps of different time steps; a positive and negative sample concept and a foreground and background concept based on an object are constructed, a new loss function is calculated on a cross attention map for semantic information and layout information, the loss function combines semantic loss, regional loss and original loss of a diffusion model and is used for updating a potential space image, and the image is generated through iterative denoising and a decoder. According to the method, additional training is not needed, image generation output based on the diffusion model better meets text requirements, and a better text and image alignment effect is achieved.

The invention relates to the field of computer graphics, reverse engineering and additive manufacturing, discloses a multi-modal fusion and physical constraint three-dimensional point cloud geometric modeling system and method, and aims at overcoming the defects that traditional three-dimensional reconstruction entity attributes are missing, key features are prone to being lost, semantic understanding does not exist, and process automation is low. The system comprises a point cloud preprocessing module, a semantic segmentation and recognition module, a mixed geometric reconstruction module, a multi-component assembly and physical constraint solution module and an entity model output module. The method comprises the following steps: denoising and sampling an original point cloud, realizing semantic and instance double segmentation through a Point Net + + network, endowing a geometry-function composite label, completing hybrid reconstruction through improved Poisson reconstruction, parameterized B-Rep fitting and standard component library matching, and outputting a multi-format engineering available model after physical constraint verification and automatic correction of a violation model. According to the method, automatic, high-fidelity and high-practicability conversion from the point cloud to the engineering-level entity model is realized, and the method is adaptive to multiple industrial application scenes.

The invention discloses an SPH fluid rendering method and system based on a Gaussian function, and belongs to the technical field of computer graphics, and the method comprises the steps: receiving SPH simulated fluid particle data, and constructing a particle connection graph based on a particle neighborhood relation; based on the particle connection graph, extracting local geometric features of each particle through a neural network and aggregating the local geometric features into global geometric features; analyzing the global geometric features into Gaussian function parameters to generate a plurality of Gaussian functions for each particle, and superposing all Gaussian functions in space to form an implicit fluid surface; performing screen space rendering on the implicit fluid surface to obtain a final fluid rendering image; and after foam particles generated by SPH simulation are also mapped into a Gaussian function, a fluid rendering image containing a foam visual effect is obtained through screen space rendering. The method can improve the smoothness and reality of the rendering result while guaranteeing the calculation efficiency, and achieves the consideration of the efficiency and quality of fluid rendering.

The invention relates to the technical field of computer graphics and artificial intelligence, and discloses a meta-universe digital human generation method and system based on deep learning, and the method comprises the steps: constructing a neural radiation field human body model through multi-view video data, and learning a user behavior sequence mode; collecting sparse sensor data of the head and the hands of the user and generating a preliminary whole-body skeleton posture; calculating contact force feedback when the digital human interacts with the virtual environment through a differentiable physical engine; utilizing a reinforcement learning algorithm to optimize postures to meet physical constraints; performing multi-objective optimization and quality evaluation on the generated attitude; according to the method, the digital human postures which have personalized features and can naturally interact with the environment can be generated by using the consumer-level equipment, and the meta-universe interaction experience is improved.

The invention discloses a virtual space multi-person interaction synchronous control method oriented to an end-cloud collaborative architecture. The invention relates to a computer graphics and three-dimensional modeling technology, and discloses a cross-format lightweight and geometric consistency maintenance method based on a three-dimensional model. Through format-independent geometric representation and a self-adaptive lightweight strategy, efficient compression and precision maintenance of three-dimensional model cross-format conversion are realized. The method specifically comprises the following steps: performing format analysis and geometric feature extraction on an input model, and establishing a unified internal representation; adaptively selecting a multi-level LOD lightweight strategy based on the complexity of the model; the accuracy of key information is ensured through geometric feature keeping and topology consistency detection; the geometric consistency is dynamically maintained by combining error monitoring and an iterative correction mechanism; and generating a target format lightweight model and carrying out quality verification. According to the method, adaptive precision control, multi-level consistency maintenance and format irrelevant processing are combined, the model size and conversion errors are effectively reduced, and cross-platform compatibility and geometric fidelity are improved. The method can be widely applied to the fields of industrial design, game development, virtual reality and the like.

The invention provides a texture mapping method, a texture mapping device, a computer storage medium and electronic equipment, and relates to the technical field of computer graphic processing. The method comprises the following steps: acquiring a world space coordinate and a world space normal of a vertex of a target model; performing texture projection on the world space coordinates on a plurality of world coordinate axes to obtain target texture coordinates of the vertexes of the target model on the world coordinate axes; determining a texture weight value based on the included angles between the world space normal and the plurality of world coordinate axes; and carrying out texture sampling according to the target texture coordinate to obtain an initial map sampling result, and carrying out mixed sampling on the initial map sampling result and the texture weight value on the corresponding world coordinate axis to carry out texture mapping on the to-be-processed model based on the target map sampling result. The method can get rid of dependence on a model topological structure and UV expansion of a three-dimensional model, and realizes a more real, natural, accurate and flexible texture fitting effect without deformation stretching.

The invention relates to the technical field of computer graphics and virtual reality, and discloses a meta-universe social space generation method and system. The method comprises the following steps: acquiring multi-modal input data of a user and constructing an intention vector; extracting social relation characteristics based on the intention vector, and generating a multi-dimensional scene constraint condition; generating a three-dimensional virtual environment and optimizing a topological structure by adopting a generative adversarial network according to a scene constraint condition; and fusing the scene data with the user social behavior data, and outputting a multi-terminal interactive rendering result. The system comprises a data acquisition and intention modeling module, a scene constraint mapping and environment generation module and a fusion rendering and interactive output module. According to the invention, multi-user immersive social space interaction can be realized on the VR head-mounted display, the AR glasses and the mobile terminal, and the method has the advantages of low delay, high simulation degree and cross-platform synchronization.

The invention relates to the technical field of computer graphics and computer vision, and particularly provides a monocular relief depth estimation model construction method based on a progressive fine tuning strategy. The method comprises the following steps: constructing a pseudo real relief image data set by using a text-based image generation model; generating a depth pseudo label according to the pseudo real relief image data set; obtaining an initial relief depth estimation model based on the pseudo real relief image data set and the depth pseudo label thereof; collecting a multi-view real relief image, and generating a real relief image and depth label pairing data set in combination with three-dimensional reconstruction and geometric detail optimization; according to the method, the initial relief depth estimation model is subjected to lightweight fine adjustment by adopting low-rank adaptation LoRA, a final monocular relief depth estimation model is obtained, high-quality training data is effectively constructed in the absence of real labels, and the model generalization ability and the prediction precision are considered at the same time.

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 discloses a dynamic rendering method and system for virtual reality, a storage medium and electronic equipment, and relates to the technical field of virtual reality, augmented reality and computer graphics. Therefore, the frequency and time sequence change of the sight focus of the user hitting the surface of the virtual object in the virtual scene are analyzed, so that the relative motion trend and observation intention of the user and the object are pre-judged, predictive and adaptive scheduling of rendering resources is realized, and optical feedback conforming to the physical law, namely, dynamic material, is triggered at the sight focus, so that the real-time performance of the user is improved. Therefore, the interaction fineness in the process of interaction between the user and the VR system is improved.

The invention relates to the technical field of computer graphics and deep learning, in particular to a simulation bait automatic coloring method and system based on a 3D model. The method comprises the following steps: acquiring an uncolored 3D model and a reference image, and generating standard data through analysis verification, curvature grid division and image compliance detection; performing color conversion, texture enhancement and multi-scale downsampling on the compliant image to construct an image pyramid; performing multi-level feature extraction and adversarial training optimization based on a pre-trained convolutional neural network and a generative adversarial network, and generating an enhanced color texture map; performing UV expansion, color mapping and normal mapping fusion in combination with the model topology, and constructing an intermediate model with physical rendering attributes; and batch color consistency verification is realized through color histogram comparison, adaptive threshold segmentation and iteration parameter adjustment, and a standard model group is generated. According to the invention, efficient and highly realistic automatic coloring of the simulated bait is realized, and color consistency and rendering quality in batch production are guaranteed.

The invention provides an image fusion stereoscopic display method and system based on a Unity engine, and relates to the technical field of computer graphics and virtual reality. According to the method, a left-eye camera and a right-eye camera are configured in a Unity scene, left and right view angle images are collected according to interpupillary distance parameters, and left-eye and right-eye rendering textures are generated; generating a UI texture according to the Canvas type of the UI element, executing parallax compensation, pixel alignment and image fusion processing through a Compute Shader, and superposing image layers according to the transparency of the UI texture to generate a synthetic display image; and introducing a previous frame result into the fused image, and realizing time continuous output based on an inter-frame smooth function. And outputting the synthesized texture to a device supporting a plurality of stereoscopic display modes through a graphic rendering pipeline. According to the method, efficient fusion of the 3D image and the UI is realized, the rendering efficiency and the visual immersion are improved, and the method is suitable for scenes such as virtual reality, augmented reality and digital twinning.

The invention belongs to the technical field of computer graphic processing, and particularly relates to a computer device for chartlet loading, which comprises a central processing unit provided with a main thread for packaging a chartlet loading request into a task object and pushing the task object into a task queue of the central processing unit; the resource loading thread is used for sequentially pulling the to-be-processed task objects from the task queue in an asynchronous processing mode and reading the mapping files in the task objects through the asynchronous I / O interface; the resource decoding thread is used for decoding the mapping file and uploading texture data obtained by decoding to the graphics processor through an asynchronous interface; a plurality of threads are created in the graphics processor and at least comprise a resource processing thread used for receiving texture data uploaded by a resource decoding thread; and the rendering thread is used for carrying out texture binding on the texture data and carrying out rendering according to an instruction of the main thread after binding so as to draw and generate a corresponding map.

The invention discloses a practical training platform three-dimensional scene mass data loading optimization method, and relates to the technical field of computer graphics and three-dimensional visualization. Passive response of data loading is converted into active pre-judgment through an orbit prediction model and prospective visible area calculation, and the real-time performance of data loading is improved. The rendering lag caused by the rapid change of the satellite track is obviously reduced; the combination of the predicted position and the camera vision cone ensures that the point location is scheduled before the vision field is switched; secondly, GPU resource utilization is optimized through dynamic attribute increment updating and a dirty marking mechanism; static and dynamic attribute buffer areas are separated, only change data are updated, the CPU-GPU communication overhead is reduced, the frame rate fluctuation problem caused by batch updating is solved, and the system is still kept smooth under ten-thousand-level point location dynamic updating; in addition, the collaborative design with terrain rendering eliminates point location dislocation during terrain detail level switching through monitoring and double-buffer correction, and improves visual consistency.

The embodiment of the invention provides a global illumination rendering method, electronic equipment and a storage medium, belongs to the technical field of computer graphic processing, is applied to illumination rendering of a three-dimensional modeling scene, and comprises the following steps: obtaining an original picture without adding a global illumination effect, a corresponding camera viewpoint and a corresponding camera viewpoint; acquiring originally corresponding illumination radiation data based on a camera viewpoint, and determining the originally corresponding illumination radiation data as irradiance cache data; in response to the change of the camera viewpoint, performing ray tracing processing based on the changed camera viewpoint to obtain changed illumination radiation data; performing fusion processing on the irradiance cache data and the changed illumination radiation data to obtain target illumination radiation data; and performing global illumination generation based on the target illumination radiation data to add a global illumination effect to the original picture to obtain a target picture. According to the embodiment of the invention, the calculation complexity of indirect illumination can be reduced, and a global illumination effect is obtained.

The invention discloses an automatic logistics digital twinning model adaptive precision rendering method and system, and relates to the technical field of computer graphics and automatic logistics digital twinning crossing, in particular to a rendering optimization scheme capable of dynamically adjusting model rendering precision for a large-scale smart factory scene in a Unity engine. Through a dynamic decision-making mechanism based on a use scene and a service factor, in combination with a current use scene, a model with a high service priority in the scene is subjected to refined rendering, and a model with a low current weight in the scene is subjected to simple rendering, so that it is ensured that under each specific scene, the service quality of the scene is improved. And the system can intelligently and accurately guide the computing resources to the object which most needs high-fidelity rendering.

The invention discloses an electric power skill training and scoring evaluation method based on a large model algorithm, and belongs to the technical field of electric power skill training and scoring evaluation, and the method comprises the steps: collecting and processing student information data and historical operation behavior data, and integrating the processed data into a unified data warehouse for storage; analyzing the information data and the power skill post demand of each student by using a natural language processing technology to generate a demand analysis result; generating a training content scheme according to the demand analysis result based on a pre-selected large model; by analyzing learning behavior data, constructing a student learning style model, and further optimizing a training content scheme to obtain an optimal training scheme; a three-dimensional electric power working scene model is constructed by using computer graphics and VR / AR technologies; through establishing an operation evaluation model, real-time scoring evaluation is carried out on electric power skill operation of students, and an evaluation result of each student is obtained.