2607 results about "Virtual space" patented technology

The invention relates to the technical field of data center management, and discloses a data center digital twinborn simulation and decision-making system oriented to intelligent management. The system comprises a data center physical feature sensing module, a virtual space reconstruction module, an operation situation deduction engine, an abnormal behavior recognition module and a decision instruction generation module. Wherein the physical feature sensing module collects multi-dimensional operation parameters of the infrastructure in real time; the virtual space reconstruction module dynamically constructs a three-dimensional virtual model based on the collected parameters; running a situation deduction engine to simulate a resource scheduling and energy flow process; the abnormal behavior recognition module analyzes the analog data stream to detect an abnormal operation mode; and the decision instruction generation module integrates the abnormal information and generates an optimization regulation and control instruction for the physical equipment. According to the system, intelligent management of the data center is realized through real-time mapping, dynamic deduction and intelligent decision making of physical and virtual spaces, and the management precision and timeliness are improved.

The invention relates to the technical field of three-dimensional models, in particular to an immersive exhibition hall intelligent guide display method and system based on user behaviors, and the method comprises the steps: arranging a multi-modal sensor in a key region of a three-dimensional virtual space, and collecting the visual fixation point coordinates, behavior track coordinates and voice instruction data of visitors; performing spatial mapping processing on the coordinate data through an edge calculation unit to generate three-dimensional user behavior data; constructing a three-dimensional scene analysis model to extract spatial features of the three-dimensional user behavior data set, and generating a user behavior portrait; matching the user behavior portrait, dynamically calling exhibition hall three-dimensional virtual space guide content, and generating a personalized exhibition hall three-dimensional virtual space guide route and a display mode in real time; and performing real-time feedback on a display mode, and performing real-time dynamic adjustment on the exhibition hall guide content in combination with the feedback and the three-dimensional user behavior data analysis.

The invention relates to the technical field of medical intelligent scheduling, in particular to a patient flow data visualization adjusting system and method, and the system comprises a global dynamic sensing unit, a medical intelligent evolution center, a space-time mirror image twinning module, a multi-dimensional decision optimization matrix, and a risk closed-loop management and control unit. The global dynamic sensing unit gathers data to construct a diagnosis and treatment panorama; the medical intelligent evolution center is used for building a medical process evolution system to form a three-dimensional cognitive architecture; the space-time mirror image twinning module is used for constructing physical virtual space mapping, and forming a diagnosis and treatment resource space-time distribution path based on Internet of Things position data and a digital twinning technology; the multi-dimensional decision optimization matrix extracts patient flow data according to the space-time simulation path and a multi-target model, and generates a resource scheduling scheme; and the risk closed-loop management and control unit is used for evaluating the risk, marking congestion early warning and dynamically optimizing a regulation and control strategy and a threshold value. Therefore, the problems of data isolation, poor resource configuration efficiency, insufficient real-time performance and the like in the prior art are solved.

The invention relates to a campus Internet of Things terminal scheduling method based on digital twinning. The method comprises the following steps: defining a general twinning state representation structure; introducing a state mapping relationship, and establishing a one-to-many dynamic mapping relationship between a physical state and a virtual twinning state by using a finite state machine; when the state of the physical terminal changes, triggering multi-level response mapping of the twin in the virtual space; semantic fusion is carried out on twinborn real-time data, a scheduling sensitivity index is introduced, disturbance simulation is carried out based on past scheduling behaviors, and the potential influence of a certain scheduling behavior on the whole system is analyzed; carrying out local division on the situation map; using Bayesian estimation and Monte Carlo combination to sample and evaluate the feasibility and income of each solution set in a period of time in the future; simulating the expected influence of each scheduling strategy through a twin body, and selecting a scheduling path; unified modeling and semantic fusion of multiple types of terminals are realized, the intelligent level and predictive ability of scheduling decision are improved, the collaborative scheduling ability of the terminals is enhanced, and coupling unit level regulation is realized.

Provided are a processing system for a three-dimensional model, a method for obtaining a physical model on the basis of three-dimensional printing of a three-dimensional processing system, a system for generating a three-dimensional model from a virtual reality / augmented reality three-dimensional sketch, a diffusion model training method, and a method for editing a three-dimensional model on the basis of a virtual reality / augmented reality three-dimensional sketch. The method for obtaining a physical model on the basis of three-dimensional printing of a three-dimensional processing system comprises: step one, at an input apparatus, a user using a hand or a handle to draw three-dimensional sketch content in the air, wherein a three-dimensional sketch is stored in the form of a three-dimensional point cloud, and when the user draws a trajectory, a corresponding point cloud is generated in the drawn trajectory and is displayed in a three-dimensional virtual space in a highlighted manner, and displacement and deletion operations of the user for the three-dimensional sketch are overall displacement and deletion operations for points in a region corresponding to the point cloud of the three-dimensional sketch; step two, a computing apparatus converting the three-dimensional sketch content into a three-dimensional model; step three, converting the three-dimensional model into a readable file for an execution apparatus, wherein the conversion is implemented by using a slicing algorithm; and step four, a three-dimensional printer executing the readable file to perform a printing operation, so as to obtain a physical model.

The invention discloses a multi-welding-robot collaborative operation system based on digital twinning, and belongs to the technical field of intelligent manufacturing and robot control, the system comprises a physical space module, a virtual space module, a twinning data layer and a control module, and communication connection is established among the physical space module, the virtual space module, the twinning data layer and the control module; the physical space module comprises a plurality of welding robots, a sensor group and a data transmission network; the virtual space module comprises a multi-welding robot twinning body and a workpiece twinning model; the twin data layer is used for connecting the physical space module and the virtual space module; and the control module generates a welding path optimization scheme, a multi-welding-robot collaborative collision avoidance strategy and a welding quality feedback control instruction based on the twin data layer. According to the method, a closed-loop control framework of'physical-virtual 'bidirectional mapping is constructed, so that dynamic collaborative optimization of multi-robot motion trails, welding seam forming and thermal deformation is realized.

The invention discloses a multi-target task and resource intelligent modeling method, particularly relates to the field of complex adversarial simulation, is used for solving the problems of dynamic constraint optimization and robustness improvement in multi-dimensional task planning, and aims at realizing multi-dimensional coupling of space-time resource parameters by constructing a three-dimensional hypergraph model, mining a parameter association rule by means of tensor decomposition, and realizing multi-dimensional optimization of the space-time resource parameters. Dynamic constraint quantization is supported, multi-dimensional index priority evaluation is fused in a constraint layered injection stage, hard constraints are recognized, a solution domain is compressed, a hybrid optimization strategy regulates and controls balance between global exploration and local optimization, and after annealing is simulated to jump out of a local extreme value, a multi-target particle swarm algorithm is used for screening a space-time resource equilibrium solution in a trimming solution domain. Digital twinborn verification promotes physical and virtual space interaction data closed loop, a parameter correlation degree matrix is corrected, scheme robustness is enhanced, efficient generation and adaptive optimization of a task planning scheme under complex constraints are realized, and system stability and multi-target cooperation capability under sudden disturbance are improved.

The invention provides a stamping production line self-organizing production system and method based on a twin intelligent agent, and the twin intelligent agent comprises a data collection layer which is used for collecting the operation state data and production environment parameters of physical equipment; the virtual-real mapping layer is used for constructing a digital twin model of physical equipment and realizing real-time state synchronization and bidirectional control instruction transmission of a physical space and a virtual space; the optimization decision-making layer is used for predicting the performance degradation trend of the equipment based on a deep reinforcement learning algorithm and generating a game parameter adjustment strategy and a preventive maintenance scheme; and the collaborative arbitration layer generates a compromise optimization scheme based on Pareto frontier analysis when the multi-agent strategy conflicts, and the multi-dimensional targets of the production efficiency, the equipment life and the energy consumption are balanced. According to the invention, autonomous task allocation, real-time state monitoring and global resource balance of the stamping production line are realized.

The invention discloses an automatic scheduling method and system for ship unloading equipment, and relates to the technical field of port automation. According to the method, a high-precision digital twinborn model for ship unloading operation is constructed, physical equipment is abstracted into a digital intelligent agent with an autonomous decision-making capability, real-time multi-dimensional data and historical data are utilized to perform deep fusion to drive system synchronization, and a future multi-step scheduling strategy is deduced in a parallel simulation manner in a virtual space based on rolling time domain control, so that the real-time multi-dimensional data and historical data are subjected to real-time multi-dimensional data synchronization driving system synchronization is realized. Dynamic evaluation and optimization are carried out by adopting a multi-objective evolutionary algorithm combined with a cooperative game mechanism, and conflicts and cooperation among equipment are effectively coordinated by defining an individual utility function and introducing cooperative game negotiation and a meta-controller to dynamically adjust target weights, so that system-level global optimal scheduling is realized under multiple objectives of efficiency, energy consumption, safety and the like, and the scheduling efficiency is improved. The intellectualization, the self-adaptability and the comprehensive operation benefit of port ship unloading operation are comprehensively improved.

The invention provides an audio processing device and method, an augmented reality device, equipment and a storage medium, and belongs to the technical field of virtual reality display and sensing. The audio processing device comprises a positioning device which is configured to track and position a user in a real space in real time, determine positioning information of the user and send the positioning information to a processor; the processor is configured to determine target positioning information of the user based on pre-established spatial information and the real-time positioning information of the user; determining association relationship information between the user and a virtual sound source in a virtual space based on pre-established space information and real-time target positioning information of the user; obtaining human body parameters of the user, and determining an audio filtering result matched with the user based on the association relationship information, the human body parameters and the audio frequency of the virtual sound source; and reconstructing the audio to be played based on the audio configured for the virtual sound source in advance and the audio filtering result.

The invention discloses a live-action three-dimensional dynamic change modeling method based on digital twinning. The method comprises the following steps: collecting multi-source data; carrying out space registration and time synchronization processing, and outputting a fusion data set; carrying out three-dimensional modeling, optimizing model parameters, and generating a live-action three-dimensional model; virtual-real mapping is carried out, and generated virtual space data and state parameters thereof are stored; performing differential analysis to generate a change detection result data set; performing dynamic change modeling to generate an updated virtual model; executing geometric accuracy optimization and semantic consistency check, and outputting an optimized virtual model; bidirectional data flow association and dynamic updating are executed, and the live-action three-dimensional dynamic change modeling process is completed. The real scene dynamic updating is realized by adopting the improved Gaussian sputtering modeling, and the method has the advantages of high precision, strong real-time performance and virtual-real synchronization.

The invention provides an intelligent inspection equipment control method for construction quality evaluation, and relates to the technical field of construction quality detection, and the method comprises the following steps: constructing a virtual twin model of a construction site, and combining an inspection kinematics model of a motion mechanism of inspection equipment based on the virtual twin model to obtain an inspection kinematics model; forming a three-dimensional navigation topological graph containing detection target priorities, obstacle avoidance weights, equipment reachable pose nodes and path curvature constraints; taking the three-dimensional navigation topological graph as input, performing multi-step state prediction and accumulative reward evaluation in a virtual space by adopting a double-estimation reinforcement learning algorithm, and generating a multi-step global motion control strategy; carrying out feasibility verification on the control strategy, and if the verification is passed, issuing a multi-step global motion control strategy to an inspection equipment execution mechanism; the inspection equipment is controlled to conduct three-dimensional laser scanning on the target component according to the verified path, high-density point cloud data are obtained, the control precision of the inspection equipment is improved, and the inspection efficiency is improved.

The invention discloses a fully-mechanized coal mining equipment group sensing-control integrated twinning device and method, and relates to the technical field of coal mine intelligent mining digital twinning. The method comprises a sensing information driving mode, a physical instruction driving mode and a dual-driving mode. When the sensing information driving mode lacks physical instruction information, real-time sensing data of the hydraulic support are collected, sensing-control integration is achieved, and the shape is consistent; the physical instruction driving mode is used for speculating a current posture through a speed parameter training model and an optimal force training model when sensing information is lost, so that virtual-real synchronization is realized; and the dual-drive mode is used for realizing real-time consistent action and regulation of the virtual monitoring model and the virtual control model according to an adaptive control strategy when the physical instruction transmission path and the sensing information transmission path are both intact. According to the method, high-fidelity actions of the virtual control model and the virtual monitoring model can be driven through the physical entity, and virtual reconstruction of the working space is completed in the virtual space.

A wearable device, a method, and a non-transitory computer-readable recording medium for displaying content are provided. The wearable device includes: a display, at least one processor, comprising processing circuitry, and a memory storing instructions that, when executed by the at least one processor individually or collectively cause the wearable device to: determine a usage environment of the wearable device displaying content; generate a boundary, based on at least one of a number of contents and the usage environment; and display, through the display, the content placed based on a shape of the boundary; wherein the boundary comprises a virtual space including a specified area surrounding at least a part of a user or the wearable device based on the user wearing the wearable device or the wearable device, in which the content is displayed on a surface of the boundary, and the content including a lock attribute is moved on the surface according to the user's posture.

Provided are a wearable device, a method, and a storage medium for displaying content. The wearable device comprises: a display; at least one processor including a processing circuit; and a memory storing instructions that are individually or collectively executed by the at least one processor. The at least one processor may be configured to individually or collectively execute the stored instructions and cause the wearable device to determine the usage environment of the wearable device displaying content. The at least one processor is configured to cause the wearable device to generate a boundary on the basis of at least one of the number of pieces of content or the usage environment. The at least one processor is configured to cause the wearable device to display, through the display, content arranged on the basis of the shape of the boundary. The boundary includes an area set in advance on the basis of the user wearing the wearable device or the wearable device, displays the content on the surface of the boundary, and includes a virtual space in which content including a lock attribute is moved on the surface according to the posture of the user.

The invention discloses an intelligent control and optimization system and method for the whole process of a photovoltaic power station. The method comprises the following steps: constructing a component-level high-fidelity digital twin through multi-source heterogeneous data fusion and an attention enhancement deep learning model; injecting annotated historical fault data, carrying out joint training by combining a feature embedding layer and an adversarial generative network, and generating a digital mapping body with fault evolution deduction capability; a three-layer architecture is introduced, reinforcement learning and a multi-objective optimization algorithm are fused, and autonomous decisions of power station level power output maximization, equipment loss minimization and maintenance cost optimization are realized in a virtual simulation environment constructed by a digital mapping body. According to the method, accurate dynamic mapping of the physical entity and the virtual space, fault pre-judgment and deduction and closed-loop control of global autonomous optimization are realized, the intelligent level and the full-life-cycle economy of the photovoltaic power station are improved, and the problems of insufficient fidelity, lack of fault deduction capability and low global optimization efficiency in the prior art are solved.

The invention discloses an electric motorcycle lithium ion battery management system and method, and relates to the technical field of electric motorcycle battery management, the system comprises the following components: a data acquisition module, a digital twin model construction module, a simulation analysis module and a strategy making module; by integrating the data acquisition module, the digital twinborn model construction module, the simulation analysis module, the strategy making module and the like, the system can acquire battery operation data in real time, a digital model consistent with the state of an entity battery is constructed in a virtual space, and the system can simulate the performance change of the battery under different working conditions and environments by utilizing the model, so that the performance of the battery is improved. Therefore, the service life attenuation condition of the battery is accurately predicted, accurate battery maintenance and replacement strategy suggestions are provided for users, and the accuracy and efficiency of battery management are remarkably improved.

Methods, devices, and systems for digital space management in virtual reality and augmented reality are described. A method can include a terminal that logs in to a preset application based on a first user identifier, presents a first interface, where the first interface includes a virtual space registration option. In response to an enabling operation of a user for the virtual space registration option, the terminal photographs a first scene to obtain a preview stream, obtains a target geometry, and sends the first user identifier, the preview stream, and the target geometry to a server. The preview stream and the target geometry are used to determine a target virtual space in which a user with the first user identifier has virtual content editing permission in a first virtual space. The first virtual space is a virtual space corresponding to a real world including the first scene. The target geometry is used to represent a form of the target virtual space.

The invention discloses a flight training digital twin system, which comprises a data acquisition module (for collecting real-time data of an aircraft and an environment to enable virtual and actual conditions to be consistent), a model and simulation module (for creating an aircraft, an operating environment and an airborne equipment simulation model), and an intelligent analysis and control module (for analyzing operation and equipment states through big data, and analyzing and analyzing the real-time data of the aircraft and the environment to enable virtual and actual conditions to be consistent). Feedback and optimization suggestions are generated), and an interaction and training module (based on real-time data scoring feedback and immersive interaction-aid operation). According to the system, states and behaviors of physical entities such as an aircraft, a pilot and an environment are mapped to a virtual space through a high-precision virtual simulation technology, and a real-time interaction and dynamic feedback simulation training platform is constructed. The system integrates multi-dimensional data, can be linked with physical equipment, and assists a pilot in improving skills and enhancing the coping ability of complex conditions in a safe and controllable virtual environment by simulating a real scene and providing a personalized scheme, intelligent decision and risk prediction.

A computer system outputs audio content via one or more audio output devices. If the audio content includes information that enables spatialization of the audio content, the system outputs the audio content in a simulated three-dimensional environment, including, if the audio content corresponds to a first category of content, causing the one or more audio output devices to simulate production of the audio content in a first virtual space, and if the audio content corresponds to a second category of content, causing the one or more audio output devices to simulate production of the audio content in a second virtual space that has different simulated acoustic properties than simulated acoustic properties of the first virtual space.

The invention relates to the technical field of power station operation and maintenance, and discloses a power station multi-robot collaborative inspection and task optimization scheduling system, which comprises a digital twinborn modeling module used for establishing a digital twinborn model of a power station environment, equipment and multi-type inspection robots, and realizing real-time mapping of a power station physical space and a virtual space through state synchronization; a task modeling and decomposition module; a task and capability matching scheduling module; a dynamic rescheduling module; a cloud edge cooperative control module; a data acquisition and feedback module; and a man-machine interaction and visualization module. Through integration of task node graph construction, robot capability vector modeling, local hot start rescheduling and a digital twin closed-loop self-learning mechanism, distribution continuity can be maintained when tasks change or robot states are updated, and parameters are continuously corrected based on operation data. And cooperative improvement of inspection task execution efficiency, scheduling response speed and system stability is realized.

An image processing apparatus arranges an object in a virtual space of a display target, and establishes a view screen corresponding to a point of view. In tracing a ray passing through a pixel included in a figure of the object, in reference to a position P and an incident direction @ of the ray incident on the object, the image processing apparatus reads a previously acquired distribution of contribution ratios of a plurality of light sources representing the sizes of effects thereof on the color of the figure of the object, the plurality of light sources being in different directions relative to the object. The image processing apparatus determines a pixel value of the pixel by calculating a weighted sum of the luminance values of light from intra-scene light sources based on the light source contribution ratios obtained with respect to the directions corresponding to the intra-scene light sources.

A display control system includes a first display processing unit that displays a first user icon of a user at a predetermined position in a virtual space on the basis of a current position of the user in a real space, a reception processing unit that receives, from the user corresponding to the first user icon, moving operation of the first user icon displayed at the predetermined position in the virtual space, and a second display processing unit that displays a second user icon corresponding to the moving operation by the user in the virtual space, in a case where the reception processing unit receives the moving operation of the first user icon from the user.

The invention provides an unmanned aerial vehicle communication protocol feature extraction method and system based on artificial intelligence, electronic equipment and a storage medium, and relates to the technical field of unmanned aerial vehicle communication.The method comprises the steps that a communication environment model is constructed by obtaining a spatial position set of a base station and an unmanned aerial vehicle group and synchronously collecting real-time speed and acceleration information of all position points; mapping to generate a virtual space shape, calculating an offset, performing motion compensation to generate a correction parameter, and performing closed-loop adjustment on a shape parameter; then, deep correlation features are extracted, screening parameters are generated, key features are screened, and protocol layer compensation coefficients are generated through fusion with signal attenuation model parameters; and finally, extracting spatio-temporal change features based on the position relation features, predicting a communication interruption path, extracting protocol features in combination with related parameters, evaluating risks, and generating a standby node dynamic selection strategy, so that unmanned aerial vehicle communication protocol feature extraction and standby communication node dynamic selection based on artificial intelligence can be realized.

The invention relates to the technical field of virtual reality redirection, and particularly provides a redirection walking method and system based on deep reinforcement learning, a terminal and a storage medium, and the method comprises the steps: obtaining the physical positions of a user in a real space and a virtual space in real time; dividing a walkable area of a user in a real space, and calculating a space feasible entropy in the real space; calculating a real-virtual environment state; based on the real-virtual environment state and the space feasible entropy, reward functions of deep reinforcement learning are calculated, and the reward functions comprise a position reward function, a space alignment reward function and a reset penalty function; judging whether the walking state of the user needs to be reset or not, and if not, using a position reward function and a space alignment reward function; and if so, calculating the optimal reset direction, and guiding the walking path of the user to the optimal safe area. According to the invention, the collision probability between the user and the obstacle is greatly reduced.

The invention provides an energy efficiency optimization and predictive regulation and control method for a building electromechanical system based on digital twinning. The method comprises five layers of architectures including a physical entity layer, a data acquisition and interaction layer, a digital twinning model layer, an energy efficiency analysis and optimization layer and a predictive regulation and control layer. The dynamic digital twinborn body interacting and synchronizing with the physical electromechanical system in real time is constructed, fundamental transformation from passive lag control to prospective predictive control is achieved, a high-fidelity virtual model is used as a nondestructive testing platform, countless operation strategies can be safely and rapidly simulated and evaluated in a virtual space, and therefore accurate optimization is achieved, and the real-time dynamic digital twinborn body is obtained. The overall energy efficiency of the system is remarkably improved, the dilemma that the traditional method makes consideration and loses others is eliminated, and the leap-type improvement of the comprehensive operation quality is achieved.

There is provided an enablement entity for a virtual experience service, the enablement entity in a wireless communication network, the enablement entity comprising a receiver, a processor and a transmitter. The receiver is arranged to receive an application service requirement corresponding to a plurality of devices, the plurality of devices operating in physical space, or in a virtual space of the virtual experience service, or both. The processor is arranged to decompose the application service requirement to a plurality of session requirements, wherein the session requirements apply to a plurality of communication sessions, the communication sessions provided between devices in both physical space and virtual space, and to derive a set of joint quality of service parameters for the plurality of sessions based on the session requirements. The transmitter is arranged to send the set of joint quality of service parameters to one or more network entities in the wireless communication network.

The invention provides a target distance estimation method and system based on optical characteristics of a holder, and the method comprises the steps: carrying out the automatic target detection and tracking shooting of a to-be-detected target at a current visual angle, and obtaining a target video of the to-be-detected target; meanwhile, the cradle head posture and the camera focal length are collected in real time; performing target detection according to the target video to obtain key feature points of the target; performing distortion correction on the key feature points through image coordinate mapping to form a unified image coordinate system; combining the image coordinate system with the attitude information of the holder, and mapping the image coordinate system to a three-dimensional virtual space to construct a virtual coordinate system; and calculating the target distance of the to-be-measured target according to the geometric position of the to-be-measured target in the virtual coordinate system. According to the invention, the target distance can be accurately estimated in a complex scene and at different visual angles based on the holder system with a dynamic attitude adjustment function, and the method has the technical effects of real-time performance and robustness.

The invention provides a virtual reality moving method and device for gait self-adaptive translation gain. The method comprises the following steps: determining natural disturbance in a gait cycle when a user naturally walks; according to natural disturbance in the gait cycle, the translation gain of the user in the virtual reality environment is dynamically adjusted; wherein the larger the natural disturbance is, the larger the translation gain corresponding to the natural disturbance is, and the translation gain is used for adjusting the proportion of the walking speed of the user in the virtual space to the actual walking speed of the user in the physical space. According to the method, the use of the translation gain is dynamically adjusted according to the gait cycle of the user, the inconsistency between the user body feeling and the visual perception is reduced by using the motion disturbance of the user, the perception threshold value of the user for the difference between the virtual space motion rate and the physical space motion rate is widened, meanwhile, the occurrence probability of motion sickness is not increased, and the user experience is improved. Therefore, the overall comfort and immersion of the user are 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.