89 results about "Virtual production" patented technology

The invention discloses a modular reconfigurable production line control system integration method, which relates to the technical field of industrial automation, and comprises the following steps: establishing virtual mapping based on physical attribute parameters to form a production line digital twin basic model framework; collecting data in real time based on an on-site sensor, and establishing a digital twinborn dynamic mapping mechanism synchronous with a physical production line state; a reconstruction scheme is imported into a virtual environment, and key performance indexes are analyzed through a production line digital twin model rehearsal module combination process. A virtual production line model is constructed through a digital twin technology, a rehearsal and verification reconstruction scheme in a virtual environment is supported, trial and error time and cost required by traditional physical debugging are remarkably reduced, a reconstruction strategy is further optimized through a cloud AI algorithm, closed-loop optimization from virtual verification to physical execution is achieved in combination with edge end real-time control, and the real-time performance of the virtual production line is improved. The production line can quickly complete local or overall reconstruction according to production requirements, and the response speed and flexibility of the production line are greatly improved.

The invention discloses a metal formwork production full-process management and control system based on a cloud platform, and relates to the technical field of industrial manufacturing, and the system comprises an industrial cloud platform which is in communication connection with the following modules: a global element perception processing module, an industrial Internet-of-Things terminal used for combined deployment, and a cloud platform module. And multi-source heterogeneous data including equipment state, cutter service life information, material circulation information, personnel operation information and workpiece quality detection data are collected in real time. According to the method, the industrial Internet of Things terminal is deployed, multi-source heterogeneous data such as equipment state, cutter life and material circulation are collected in real time, a virtual production environment synchronized with a physical workshop is constructed in combination with a digital twinning technology, a production scheduling problem is converted into a path planning problem based on an ant colony algorithm, an optimal scheduling scheme is generated in real time, and the scheduling efficiency is improved. The problems that a traditional system is rigid in plan and slow in response are solved, and the flexibility and efficiency of production scheduling are remarkably improved.

The invention discloses a thermal insulation color steel sandwich composite board product quality detection system based on digital twinning, and particularly relates to the field of quality control. The system comprises a composite board full-dimension three-dimensional digital model construction module, a production digital twinborn body creation module, a total-factor real-time data acquisition module, a data preprocessing module, a twinborn data driving and model calibration module, a quality intelligent analysis decision module and an optimization execution module. The model construction module constructs a reference model and embeds a process standard and a quality threshold value; the twin creation module builds a virtual production line, standardizes a data interface and assigns an ID to a plate; the data acquisition module acquires real-time data; the preprocessing module removes abnormal values, standardizes data and associates the data; the calibration module updates the twin body, calculates the deviation and calibrates the model; the analysis module realizes compliance judgment, defect analysis and quality prediction; and the optimization module generates and executes an instruction, so that the problems of low efficiency, data splitting and no closed loop of traditional detection are solved, and the quality control precision and efficiency are improved.

The invention provides a railway vehicle production line digital twin system and method, and the system comprises a physical space layer which is used for obtaining the state information of a railway vehicle physical production line in real time; the information layer is used for performing information conversion and analysis on the state information of the railway vehicle physical production line to obtain processed railway vehicle production line information; and the virtual space layer is used for updating the railway vehicle virtual production line model based on the processed railway vehicle production line information, so that the railway vehicle virtual production line model corresponds to the railway vehicle physical production line. Through the digital twinning technology, digital transformation of the railway vehicle manufacturing industry is promoted, the production efficiency is improved, quality control is optimized, the maintenance cost is reduced, and the production flexibility is enhanced.

The intelligent production cooperative control system of the slow-release fertilizer comprises a data acquisition module which acquires multi-source production data signals from batching, granulation, coating and drying sections in real time, and the multi-source production data signals at least comprise raw material ratio and material temperature; the intelligent optimization module receives the multi-source production data signal and releases a target based on a preset nutrient; the production execution control module receives the cooperative control instruction signal and generates a process control signal according to the cooperative control instruction signal; the digital twin module is respectively connected with the data acquisition module and the intelligent optimization module, receives the multi-source production data signal to update the state of the virtual production model, and provides an analog simulation and prediction feedback signal for the intelligent optimization module; the quality tracking module is connected with the data acquisition module and the production execution control module, and receives a multi-source production data signal and a process control signal. The slow release fertilizer intelligent production cooperative control system can solve the problems that slow release fertilizer production quality is not stable, energy consumption is high, and cooperative optimization cannot be achieved.

The invention provides a textile flexible production line multi-material scheduling system, which comprises a physical execution layer and a multi-material scheduling layer, wherein the physical execution layer comprises reconfigurable textile production equipment; the intelligent sensing layer is arranged at key nodes of the physical execution layer; the central scheduling and control layer is in communication connection with the physical execution layer and the intelligent sensing layer; and the digital twin layer is a virtual mapping of the physical execution layer in an information space, and forms a closed loop with the central scheduling and control layer and the physical execution layer. According to the method, the perspectiveness and the global optimization capability of a scheduling decision are realized through a digital twinning technology, the system places an initial production scheduling scheme in a high-fidelity virtual production line model for millisecond-level concurrent simulation deduction, and potential process bottlenecks and quality risks during blending production of different materials are accurately predicted; and by taking the production efficiency, the energy consumption and the quality qualification rate as multi-target reward functions, completing iterative optimization of massive strategies in a virtual space, thereby obtaining an approximately globally optimal scheduling instruction before the physical production is put into use.

The invention relates to the technical field of virtual simulation control, in particular to a Factory IO-based metal sorting control system, which comprises a virtual production line construction module, a hardware configuration module, a joint debugging module, a task execution module and a process optimization module. According to the invention, through comprehensive analysis of operation characteristics of the conveyor belt, distribution of detection stations and signal fluctuation, signal characteristics in a material coverage area can be identified in advance, associated extraction and dynamic cooperative adjustment of equipment layout and operation parameters are realized, and through interactive identification of equipment positions, adjustable areas and trigger conditions, the accuracy of the equipment layout is improved. Adjusting points influencing sorting precision are accurately positioned, task loads and priorities are intelligently matched in task execution, efficient allocation and resource optimization of scheduling areas are achieved, scheduling paths and time intervals are dynamically evaluated on the flow level, a continuous and adjustable operation sequence is formed, and sorting efficiency and overall operation performance are improved.

An embodiment of the present invention provides a multi-scale digital twin system for a combustible explosive production line, comprising: a digital twin data layer that characterizes the manufacturing process and its dynamic evolution of the combustible explosive production line through geometric model data, physical model data, behavioral model data, and rule model data of the combustible explosive production line; a digital twin communication unit that enables data interaction between the digital twin virtual production line and the physical production line, as well as data interaction between different agents in the digital twin analysis layer; a digital twin analysis layer that uses multi-agent deep reinforcement learning technology to complete collaborative analysis of models in the multi-scale digital twin analysis layer; and a digital twin application layer that implements multi-scale digital twin applications. The present invention combines the high-risk characteristics of combustible explosive production lines with the calculation of equipment operating status and safety risk status for analysis and decision-making, thereby improving the ability to characterize and predict safety risks of combustible explosive production lines.

The invention provides a multi-source data fusion industrial energy-saving management system based on big data, and the system comprises a data collection and edge processing module which is used for collecting on-site multi-source heterogeneous data in parallel and executing filtering and time calibration; the industrial big data storage center is used for storing data by adopting a cold and hot data layered architecture; the spatio-temporal data deep fusion engine is configured to be used for constructing a virtual production takt axis, mapping a continuous energy consumption waveform to the axis by using a nonlinear time warping algorithm, eliminating time lag interference and generating a standard energy consumption fingerprint in combination with a thermal response model; the dynamic energy-saving decision control module is used for calculating a transient energy consumption balance index covering recovery compensation and life loss based on the fingerprint vector, and generating a control instruction when an energy-saving gain threshold value is met; and the terminal execution feedback module is used for instruction issuing and feedback. According to the method, the problem of spatial-temporal dislocation of discrete work orders and continuous energy consumption data is solved, and refined dynamic energy-saving control of equipment is realized.

The invention discloses an automatic program adaptation method and system for a multi-vehicle-type manufacturing process, electronic equipment and a storage medium, and the method comprises the steps that a group control server receives a production instruction, and the production instruction comprises a VIN code, a vehicle type code and an electric gun code of a vehicle; the group control server stores the production instruction in a queue form to obtain a virtual production queue; when the vehicle arrives at the entrance of the unmanned island, the group control server receives the trigger request signal, obtains a production instruction corresponding to the vehicle from the virtual production queue, and sends the obtained production instruction to the unmanned island; after the unmanned island receives the information, verification is successful, the unmanned island sends a command to the robot controller according to the vehicle type code, and a matched track program is called; and the unmanned island sends a command to the tightening controller according to the electric gun code and calls a matched tightening parameter program. The group control server pushes the VIN, the vehicle type and the electric gun code to the unmanned island, and double-automatic matching of a track program and a tightening program is completed in the same beat.

The application discloses a virtual production-based equipment monitoring method and device, equipment, medium and product, and relates to the technical field of virtual production. The method comprises the following steps: acquiring running state data and running video data corresponding to a plurality of hardware devices respectively; matching the running state data of the hardware devices with monitoring indexes of the device types corresponding to the hardware devices, displaying the matching results between the running state data of the hardware devices and the monitoring indexes; displaying video pictures corresponding to the running video data of the hardware devices; and performing data statistical analysis on the running performance data of the hardware devices, and displaying the statistical analysis results of the running performance data in the form of a chart. The method realizes the automation of data detection of each device in the shooting field of virtual production in the hardware aspect, improves the monitoring efficiency of the hardware devices in the shooting field of virtual production, and reduces the workload of the on-site staff.

Systems, apparatus, and methods for rendering content based on production element pose are disclosed. In an example, motion capture data of a production element is received, the production element moving from a first physical pose to a second physical pose. The motion capture data is processed to determine the coordinates of the second physical pose. A transformation of the second physical pose of the production element to a virtual pose of the production element is generated. A virtual model of the production element is updated, the virtual model comprising the virtual pose of the production element. The content is rendered based on the updated virtual model.

The application discloses a camera pose conversion method and system of a camera robot system, and the method comprises the following steps: presetting parameters of a pose converter; receiving pose data of a camera in the camera robot; the pose data comprises position information and attitude information; converting the pose data of the camera into pose data conforming to a FREE-D protocol through the pose converter; and sending the pose data conforming to the FREE-D protocol to a virtual production platform. Through the processing scheme, accurate and high-frequency pose data conversion can be realized, and the virtual camera movement in the virtual environment is coherent and smooth, and lens pose jump errors do not occur.

A virtual production system has a first computing device coupled to a first virtual production display device. A processor executes a virtual production control engine that controls the first virtual production display to alternatingly display at first and second virtual production backgrounds. When the first video camera is operating in a multi-track virtual production recording mode, the processor receives a stream of digital video image frames from a video camera. First frames in the stream capture the first virtual production background and second frames alternating with the first frames capture the second virtual production background. The processor separates the stream of the digital video image frames into a first track of the first frames and a second track of the second frames. The processor organizes the first and second track into separate monitoring streams and / or recorded files.

The invention relates to the field of production informatization management, in particular to a steel model production informatization management method and system and a storage medium, and aims to dynamically formulate an information acquisition strategy, realize intelligent adjustment of key parameter acquisition frequency, avoid resource redundancy acquisition under unnecessary conditions, remarkably improve data utilization efficiency, and improve production efficiency. Meanwhile, simulation verification is carried out through a virtual model based on the collected data, and the implementation effect of an adjustment scheme is rehearsed in a virtual production model, so that invalid or harmful decisions are screened out before the adjustment scheme is put into an entity production line, production fluctuation and resource waste caused by decision errors are greatly reduced, and the production efficiency is improved. And finally, continuously tracking the consistency of a virtual decision and an entity execution result, and starting a machine learning optimization process when simulation deviation occurs.

The invention relates to the technical field of digital twinning, and discloses a data processing method and system in the virtual production switching process of a production line so as to improve the production switching efficiency and reliability. The method comprises the steps that when all equipment models on a current production line are packaged, the function relation that structural parameters of parts of a sealing part vary along with the change of geometric parameters of a machined object is increased; after a user modifies geometric parameters of processing objects corresponding to all equipment models in a task scheduler on a copy of a current production line according to an actual production switching task, an initial production switching production line is automatically generated according to modification of the task scheduler; executing automatic deformation of structural parameters of part of parts of the equipment model reserved in the production line according to the packaged function relationship along with the change of geometric parameters of a processing object; and then outputting a simulation result for a user to determine the existing resources to be reused and the new resources to be introduced.

The invention provides an intelligent evaluation method and system for a film and television virtual production scheme based on big data visualization. The method comprises the following steps: generating an initial video based on demand information; when a user side carries out circling interaction on any initial image frame forming the initial video, carrying out image interception on the initial image frame based on a circling area corresponding to the circling interaction to obtain a target sub-image; an image modification strategy is determined based on an obtained modification mode corresponding to the user side, a modified sub-image corresponding to the target sub-image is generated based on the image modification strategy, and the modification mode comprises manual modification and automatic modification; and carrying out association modification on each modification association frame in the initial video based on the modification sub-image to obtain an updated initial video, and carrying out image comparison on the modification sub-image and the target sub-image to obtain a modification evaluation value corresponding to the modification sub-image. According to the invention, the adaptability of diversified modification requirements is at least improved.

The present disclosure relates to: an information processing device capable of realizing rendering providing a more realistic background in virtual creation; an information processing method; and a program. In the present invention, a rendering processing unit renders a 3DCG image on a display device on the basis of the position and attitude of a first camera that images the display device serving as a background together with an object serving as a foreground. A position estimation unit estimates a light source position at which a light source is provided on the basis of a captured image captured in a second camera that images the display device together with the object from the light source position and a 3DCG image rendered on the display device. A difference extraction unit extracts, as a shadow region of the subject, a difference region between the 3DCG image that has been projection-transformed based on the estimated light source position and the captured image from the light source position. The technology according to the present disclosure can be applied to a virtual creation system.

Systems, apparatus, and methods of rendering content based on a control point of a camera device are disclosed. In an example, a marker is attached to the camera device and its pose is tracked over time. Based on a camera model of the camera device, an offset between the marker and the control point is determined. The tracked pose of the marker can be translated and / or rotated according to the offset to estimate a pose of the control point. The rendering of the content is adjusted over time based on the estimated poses of the control point. Upon presentation of the content in a real-world space (e.g., on a display assembly located therein), the camera device can capture the content along with other objects of the real-world space and generate a video stream thereof.

The present invention relates to a remote pre-visualization system using a virtual production virtual camera and lighting and, more specifically, to a remote pre-visualization system using a virtual production virtual camera and lighting, which is constructed to check the effect of camera moving shots in advance before filming an LED wall-based driving video in a field studio and provide a more creative and efficient work environment during actual filming.

The present technology relates to an information processing device, an information processing method, and a program that enable suitable rendering of video including a person. This information processing device includes: a placement control unit that selects, from among a plurality of candidates, a placement position of a person in a virtual space on the basis of the position of a subject in camera video acquired by a first camera that acquires images of the subject against a background of a display that displays display video including the person; and a rendering unit that renders video of the virtual space as seen from a virtual viewpoint corresponding to a viewpoint of the first camera so as to generate display video. The present technology can be applied to, for example, an imaging system used in virtual production.

This invention discloses a data intelligent sensing and optimization scheduling system and method for aluminum processing, belonging to the field of aluminum processing optimization scheduling technology. The method specifically includes: collecting multi-source heterogeneous data on aluminum processing, preprocessing the collected multi-source heterogeneous data, establishing a composite graph, dynamically generating a feature matrix using the correlation between different types of data, constructing a scheduling model for aluminum processing, performing pre-simulation using a virtual production twin, optimally configuring production resources for aluminum processing, applying the optimization scheduling model to aluminum processing in real time, and continuously optimizing the scheduling model using a reinforcement learning strategy for dynamic adjustment. This application can automatically optimize the allocation and scheduling order of resources according to changes in the manufacturing environment, improving production efficiency and reducing energy consumption and waste.

The application discloses a kind of for virtual production photo batch generation three-dimensional model method, comprising the following steps: user submits image alignment task to solving server in local client;Setting load image alignment generation parameter;Setting running instance number, allocate the CPU and GPU resources of each instance, determine task priority;Submit task, and solving server starts image alignment generation work in turn according to task priority;Save image alignment engineering file;Manual inspection alignment data, operator checks the image alignment file that has been completed, confirms whether image alignment file satisfies generation three-dimensional model demand;Client submits the task that needs three-dimensional model and texture generation;Load setting three-dimensional model, texture, export generation attribute;Setting running instance number, allocate the CPU and GPU resources of each instance, for model texture export setting lower running instance number and corresponding CPU and GPU resources, determine task priority.

A water injection well profile control agent dosage determination method relates to the technical field of oil field profile control. The method comprises the following steps that S1, the original permeability of a water injection well plugging layer and the breakthrough pressure gradient of a profile control agent are measured, and the plugging permeability of the profile control agent is determined; s2, assuming the front edge position of a profile control agent, and setting virtual production well rows among the injection-production well rows according to the assumed front edge position of the profile control agent; s3, establishing a circuit equation by using a hydroelectric similarity principle; s4, adding a pressure gradient constraint condition, and constructing a multivariate nonlinear equation set; solving the constructed multivariate nonlinear equation set to obtain the front edge position of the profile control agent; and S5, determining the dosage of the profile control agent based on the obtained front edge position of the profile control agent. The method for determining the dosage of the profile control agent of the water injection well comprehensively considers the geological characteristics of the oil reservoir and the performance parameters of the profile control agent, fully considers the pressure gradient distribution change after the profile control agent enters the stratum, and has the advantages of being high in theoretical property, convenient to operate, low in cost, simple in calculation, high in precision and the like.

Through the virtual and physical dimensions are connected in a method of actual double spacetime structure, also considered as eight-dimensional, thereby establishing a space where the virtual and the real are contrapuntal, making virtual object observable from multiple perspectives while creating, drawing or writing. An advanced real-time interactive system for virtual producing or smart manufacturing based on users. Cursor is able to produce and create virtual 3D objects by only hands, for usage including but not limited to medical physiological rehabilitation therapy, development of medical-related assistive technologies, education, 8D demonstrating, industrial manufacturing, virtual production, industry 5.0 development, high-dimension research, design, architecting, entertainment and so on. The system is customizable depending on users. Colour, cursor and trails are selective, customizable reset, reference, colour panel, file output and on / off functions.

The embodiment of the application provides a commissioning and rollback method and system for a communication system configuration, comprising: loading a current effective configuration in a front-end workstation, generating an incremental snapshot in response to an input incremental change instruction; generating a virtual production configuration based on the incremental snapshot and the current effective configuration; generating and outputting a trajectory log based on the virtual production configuration and simulation input parameters; performing configuration mapping on the trajectory log to obtain configuration rule hit information; performing commissioning and pre-checking based on the configuration rule hit information, generating and outputting risk information; generating a commissioning passing instruction through the risk information, and submitting the incremental snapshot to a back-end; when detecting that abnormal information appears in a database transaction, performing a reverse patch to realize atomic rollback; and connecting each incremental change instruction and the reverse patch to a configuration version tree to preview the configuration of any historical node. The method realizes atomic submission and accurate rollback, and can quickly restore the system to an accurate state before the change.

The application discloses a kind of visualization modeling and digital production method of indium phosphide single crystal growth process, belong to the field of semiconductor materials.The method is based on indium phosphide single crystal growth process and heat transfer, by simulation, the visualization model of indium phosphide single crystal growth is constructed, the thermal field state parameter and crystal growth parameter in the process of indium phosphide single crystal growth are obtained, and the process of indium phosphide single crystal growth is monitored, predicted and optimized by digital production method.In addition, the visualization model can be used for industrial adjustment and industrial optimization virtual production, the thermal field state parameter and crystal growth parameter in the process of crystal growth are analyzed to guide production process formulation, reduce production cost while improving process product quality and production efficiency.

The invention discloses a control method of wire harness production equipment, and relates to the technical field of intelligent manufacturing. The method comprises the following steps: acquiring preset process parameter curves of all N procedures in a complete wire harness production process; inputting all the process parameter curves and the estimated environment parameters into a virtual production system integrated with a defect-process correlation model; executing continuous production simulation from the first process to the last process in the virtual system, and generating virtual product quality evaluation based on the output of the last process; and according to an evaluation result, if the evaluation result is qualified, issuing all the process parameter curves to physical equipment to execute production, and if the evaluation result is not qualified, adjusting the process parameter curves and re-simulating until the evaluation result is qualified. According to the invention, through full-process virtual simulation and beforehand quality prediction, conversion from post-process detection to beforehand prevention is realized, the quality and efficiency of wire harness production are effectively improved, and meanwhile, the production trial and error cost is remarkably reduced through a closed-loop optimization mechanism.

Planning virtual production from a digital application, including: performing digital planning and management of the virtual production to produce at least video output of a digital LED wall from a virtual camera mimicking filming on a virtual LED wall of the virtual production including: rendering pre-visualization of the virtual production; and generating technical visualization of the virtual production within a virtual environment; automatically generating a cost estimate of the virtual production based on the rendered pre- visualization and the generated technical visualization of the virtual production; and enabling requests for booking a sound stage from the digital application when the cost estimate is acceptable.

The present application discloses a shooting method, shooting device, and readable storage medium for preventing moiré patterns. The shooting method includes: measuring the distance between the focal plane of a camera and a display screen; obtaining the distance value and obtaining a depth of field range within which the camera is clearly focused; determining whether the distance value falls within or approaches the depth of field range; and outputting a warning message when it is determined that the distance value falls within or approaches the depth of field range. In this way, during the process of virtual production using the shooting device, the shooting personnel can promptly intervene in the warning message, thereby enabling timely adjustment of the camera's aperture, focal length, and focal length, thereby preventing the occurrence of moiré patterns in the images captured by the camera. This not only improves shooting efficiency and quality, but also reduces shooting costs.