3503 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 present application relates to the field of warehouse management technology, and provides an information management method, device, electronic device and storage medium for intelligent warehousing. By preprocessing the target data set to realize a standardized spatiotemporal fusion data stream, a virtual space is dynamically mapped based on the standardized data stream to generate a virtual-real synchronized digital twin warehouse model, and multi-target scheduling is performed according to the real-time status data in the digital twin warehouse model to generate an AGV path matrix, and the AGV path matrix is ​​dynamically replanned according to the real-time status data to generate anti-disturbance scheduling instructions. At the same time, root cause analysis of the product data set is performed to obtain predicted improvement data, and finally, material allocation analysis is performed on the anti-disturbance scheduling instructions and predicted improvement data according to the preset optimization method to obtain warehousing and logistics decisions. This application realizes flexible scheduling of warehousing and logistics based on the current status of warehousing and combined with the predictive analysis of the product cycle, which can accurately respond to actual needs and adjust the operation strategy in time.

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 a terahertz-based curved surface thermal barrier coating nondestructive thickness measurement system and method, and the method comprises the steps: firstly carrying out the coordinate calibration and reverse reconstruction of a sample piece and a mechanical arm through an optical scanning and trinocular vision measurement system, and building a virtual space; then matching the virtual space with the actual space, extracting a normal vector of the curved surface of the sample piece, performing path planning on the mechanical arms to generate a control script, and controlling the double mechanical arms to carry a terahertz measuring head to scan the sample piece in a manner of being vertical to the surface of the sample piece to obtain a terahertz signal; and finally, constructing a terahertz signal analytical model, optimizing terahertz simulation signal parameters through a self-adaptive teaching and learning optimization algorithm, and fitting a detection signal until an optimal solution is obtained, namely the thickness of the thermal barrier coating. According to the invention, through cooperation of the two mechanical arms and path planning, rapid detection of a complex curved surface structure is adapted; by establishing an analytical model and combining with an optimization algorithm, the detection precision is improved, and high-precision nondestructive detection suitable for a complex curved surface structure is 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 relates to the technical field of auxiliary decision making, and discloses a graph-enhanced intelligent game and operation planning optimization auxiliary decision making system and method, and the method comprises the steps: inputting multi-source heterogeneous data into a space-time semantic mapping frame, and generating a unified space-time semantic data structure; generating a cognitive-spatio-temporal manifold model through a cognitive spatio-temporal manifold generation algorithm; obtaining user interaction data, and generating an adaptive view expression through an interaction response manifold deformation algorithm; obtaining user interaction behavior data, and generating a cognitive balance view through a cognitive load perception projection algorithm; generating an interactive decision-making scene through an immersive space-time scene rendering technology; according to the method, a complex game and operation planning optimization problem is mapped into a visual space-time scene, so that a decision maker can foresee and control a decision result in a virtual space-time space, and the understandability and controllability of game and operation planning optimization are greatly enhanced.

The invention provides a rolling bearing fault diagnosis method driven by simulation data, and the method comprises the steps: constructing a five-degree-of-freedom dynamical model of a rolling bearing according to the failure forms of different fault types of the bearing, so as to represent the dynamic response of a bearing system in a virtual space; the method comprises the following steps: collecting vibration signals under healthy and different fault conditions in a real environment through a bearing fault simulation experiment table, and establishing a data set; the feature distribution difference between the simulation data and the measurement data is considered, and four optimization targets are constructed and are respectively used for difference feature learning and domain invariant feature learning; a Transform model is used as a feature extractor, and fault diagnosis is carried out under a cross-domain condition in combination with a mixed loss function. Compared with the prior art, the model established by the invention can perform effective diagnosis under cross-domain and sparse training data conditions, solves the problems of data feature distribution difference and sparse target domain samples in engineering practice, and has certain robustness.

The embodiment of the invention provides an information mapping method for intelligent perception information in a virtual space, perception data is acquired by deploying a multi-sensor array, data features are extracted based on a multi-scale feature pyramid and an attention mechanism, and a space mapping relation is established by using self-supervised learning and geometric constraints. Local data blocks are organized by adopting a hierarchical index tree based on a union search set, an adaptive calculation flow graph is constructed to realize efficient mapping, and data transmission is optimized in combination with predictive caching and a differential updating strategy. And meanwhile, parallel processing of incremental mapping is realized through a pipeline data channel, and the data synchronization efficiency is ensured by a dynamic scheduling mechanism based on load prediction. The method effectively solves the problem of performance bottleneck when a traditional mapping scheme processes large-scale multi-source sensing data.

The invention discloses a mixed collision detection method in a virtual operation simulation system. The method comprises the following steps: 1) constructing a surgical instrument and soft tissue model; 2) dividing a virtual space into grids with the same size, indexing an object model, accelerating the construction and updating of a spatial information hash table by utilizing GPU multithreading, mapping the grids occupied by all primitive bounding boxes into the hash table, and determining objects in the same space according to the spatial hash table; 3) before object intersection solving, space reduction is carried out, and hash table data is optimized; 4) constructing a hierarchical bounding box for an object which may collide, and performing intersection detection; if it is detected that a certain node or child nodes of the node intersect, the next step is executed, and otherwise, detection is pushed out; and 5) accurately judging whether the basic triangular units contained in the nodes in the step 4) are intersected or not, and completing collision detection. According to the method, the problem of missed detection and wrong detection in the existing discrete collision detection algorithm is effectively solved, and the detection algorithm has excellent accuracy and calculation efficiency.

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 provides an electronic evidence correlation analysis method which comprises the following steps: analyzing and standardizing heterogeneous data of electronic evidences, extracting timestamp information according to data source characteristics, and uniformly converting data of each time precision into millisecond-level timestamps; extracting space information, including a physical space and a virtual space, according to the timestamp, and performing format unification and coordinate system conversion on the extracted information to obtain a comprehensive data set containing a standardized time sequence and multi-scale space information; constructing a space-time association graph model based on the electronic evidence group, setting the weight of an edge in combination with the space-time association distance between nodes, mapping the high-dimensional space-time association feature to a low-dimensional vector space, and obtaining the space-time association feature vector of the electronic evidence; and performing similarity calculation on the space-time association feature vectors, calculating the space-time association degree between different electronic evidences, and screening out associated electronic evidences as electronic evidence pairs according to a similarity threshold to form an association relationship network.

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 present invention provides a digital twin-based charging station control system. A digital twin-based charging control method according to an embodiment of the present invention comprises the steps of: generating a virtual space, which is a three-dimensional virtual space obtained by combining information of the real world with a digital world, on the basis of information of a charging station in which a charger for charging a vehicle is installed; storing, in a database, information of a past event that has occurred at the charging station; and on the basis of the information of the past event that has occurred at the charging station, and on the basis of the event information in the virtual space, implementing the past event that has occurred at the charging station in the virtual space and reproducing same.

The invention relates to a transformer fault diagnosis method. The invention discloses an oil-immersed transformer fault diagnosis method fusing a digital twinborn model, and the method specifically comprises the four steps: 1, achieving the equalization of a fault sample through employing the I NNOS; 2, extracting 9-dimensional candidate ratio signs, and performing fusion and dimension reduction on the ratio signs by using sparse principal component analysis (SPCA); 3, a kernel extreme learning machine (KELM) model is built, an AO algorithm is introduced to optimize parameters of the KELM model, and an AO-KELM optimal diagnosis model is built; and 4, establishing a digital twinborn five-dimensional model to achieve real-time interactive mapping between a physical entity and a virtual space and realize online diagnosis of the transformer fault. The transformer operation state can be simulated in real time, the fault diagnosis precision is improved, and intelligent application of transformer digital twinning is achieved.

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 an optical perspective calibration method and system, electronic equipment and a storage medium, and relates to the field of augmented reality. In the method, the position and posture of a virtual calibration object on a display screen are adjusted according to received first user voice, so that the virtual calibration object coincides with an actual calibration object in a physical space; obtaining an image of an actual calibration object according to the received second user voice, obtaining a first two-dimensional pixel coordinate of the first target corner point from the image, and determining a three-dimensional coordinate of the first target corner point according to the first two-dimensional pixel coordinate; acquiring a second two-dimensional pixel coordinate of a second target angular point of the virtual calibration object on the display screen, and calculating a projection matrix according to the three-dimensional coordinate and the second two-dimensional pixel coordinate; the projection matrix is used to transform the points in the virtual space onto the screen of the augmented reality headset. By implementing the technical scheme provided by the invention, personalized optical perspective calibration is realized in a low-cost manner.

The invention relates to the technical field of testing and overhauling, in particular to a rotating machine equipment overhauling method and system based on the digital twinning technology, and the method comprises the steps: constructing a transformer substation three-dimensional virtual model which comprises a physical space, a virtual space and a digital service space; acquiring sensor data of a to-be-modeled object through a sensor assembly, processing the data, constructing a three-dimensional model, and filling the three-dimensional model into the virtual space; the physical space and the virtual space are mapped to the digital service space, the equipment operation state and fault positioning information are displayed in real time through the digital service space, overhaul suggestions are provided, the overhaul device is controlled by generating an overhaul instruction to overhaul the rotating machine equipment, and efficient monitoring and maintenance of the transformer substation equipment are achieved.

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.

The invention relates to the technical field of 3D printing, and discloses a printing method, device and equipment for a polypropylene workpiece and a storage medium. The method comprises the steps of obtaining initial printing parameters, performing noise reduction and feature extraction to obtain a preprocessed data set, establishing a mapping relation between a physical space and a virtual space through spatial feature vector extraction, and generating an association database of printing environment parameters and material features; performing parameter mapping by adopting a multi-layer neural network, and performing optimization in combination with the crystallization dynamic characteristics of the material to obtain a parameter control strategy; carrying out interlayer distance and path planning on the parameter control strategy to generate a layered printing track; based on the heterogeneous crystallization characteristic of the material, flow and crystallization coupling analysis is conducted on the layered printing track, and a filling printing scheme is obtained through area density calculation; and the filling printing scheme is converted into an equipment instruction, printing is executed, and a target workpiece is finally obtained through real-time monitoring and correction. The printing quality and precision of the polypropylene workpiece are 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.