57 results about "Virtual production" patented technology

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 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.

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.

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.

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 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.

A virtual production apparatus, including: a motion control platform used for virtual production, the motion control platform integrated and controlled to enable synchronization with camera cranes, the driving simulators and virtual production stages, wherein the motion control platform is designed to increase gross moving load, increase available movement types, and lower a minimum height to enable loading of vehicles or objects onto the platform.

To synchronize the position change of a camera for photographing the live action of an actor with a video displayed on a background digital screen in virtual production.SOLUTION: The computer system identifying a first position of the physical camera corresponding to a first time period, rendering a first virtual scene for the first time period, projecting the first scene onto a display surface to determine a first rendered image for the first time period, and receiving a first camera image of the display surface from the camera during the first time period; Determining a first corrected position of the camera by comparing the first rendered image and the first camera image, predicting a second position of the camera corresponding to a second time period, rendering a second virtual scene for the second time period, and projecting the second virtual scene onto the display surface to determine a second rendered image for the second time period.SELECTED DRAWING: Figure 9

The application discloses a light control method and a storage medium, and relates to the technical field of light. The method comprises the following steps: acquiring position data of a light system in a target scene; acquiring light information of a virtual light system in a virtual background display screen; determining a light coefficient of the entity light system based on the light information of the virtual light system; and controlling the entity light system to perform light compensation on the target scene by using the light coefficient. On the one hand, the control efficiency of the entity light in the virtual production is improved without manual repeated adjustment of the entity light. On the other hand, since the light coefficient of the entity light is determined based on the light of the virtual light, the matching degree of the entity light and the virtual scene is improved, so that the picture fusion degree of the virtual scene and the real scene is improved.

The invention provides a production scheduling method, electronic equipment and a storage medium. The method comprises the following steps: constructing a digital twin model synchronous with a production line; converting production data of the production line during production operation into a state variable of a virtual production line by using the digital twinborn model; if the state variable shows that the rod throwing operation exists in the production line, target flying rod data corresponding to the rod throwing operation are determined; based on the target flying rod data and a plurality of to-be-arranged machine types, performing production simulation on each to-be-arranged machine type by using the digital twin model to obtain arrangement schemes corresponding to the plurality of to-be-arranged machine types; and sending the arrangement scheme to the production line, so that the production line performs production based on the arrangement scheme. The method can improve the production efficiency.

A virtual production apparatus, including: a motion control platform used for virtual production, the motion control platform integrated and controlled to enable synchronization with camera cranes, the driving simulators and virtual production stages, wherein the motion control platform is designed to increase gross moving load, increase available movement types, and lower a minimum height to enable loading of vehicles or objects onto the platform.

The invention relates to the technical field of equipment control, in particular to a nitrogen spring assembly production line based on man-machine collaboration, which comprises the following steps: a state sensing module acquires real-time data of a plurality of stations in production line equipment, processes and generates a standard station state vector set, and sends the standard station state vector set to an assembly situation fusion center; the assembly situation fusion center is provided for the rhythm deduction module and the decision optimization module; the rhythm deduction module calculates a rhythm offset quantitative index based on the virtual production line dynamic mirror image and sends the rhythm offset quantitative index to the decision optimization module; the decision optimization module generates a cooperative control instruction set based on the virtual production line dynamic mirror image and the beat offset quantitative index and sends the cooperative control instruction set to the execution cooperation module; and the execution collaboration module converts the collaboration control instruction set into an equipment control signal to be issued and executed, collects an execution state, generates execution feedback data and returns the execution feedback data to the state sensing module and the assembly situation fusion center. According to the invention, assembly rhythm dynamic balance and material circulation self-adaptive control are realized, and the production efficiency is improved.

The present disclosure relates to a virtual production method and apparatus, and a video processing method and apparatus. The virtual production method comprises: acquiring a normal frame and a reference frame, wherein a picture in the normal frame is a picture in a virtual scene, and a picture in the reference frame is a picture in which at least a partial region is a solid color region; alternately displaying, in a preset alternating manner, the normal frame and the reference frame on a display screen used for virtual production; and acquiring a filmed video, wherein the video comprises a video frame using the picture in the normal frame or the picture in the reference frame as a background and a physical object as a foreground. By means of the present disclosure, the disadvantages of both green screen filming and virtual production can be overcome by combining green screen filming and virtual production, enabling virtual production to achieve a cinema-level high-quality effect.

The invention provides an MES management method and device based on artificial intelligence, equipment and a storage medium. The method comprises the steps that a data cube with a space-time label is generated according to initial data collected in an industrial site; generating virtual production line data synchronized with the physical production line according to the data cube; determining a dynamic scheduling scheme parameter set corresponding to the virtual production line data through federal learning; performing quality detection on the initial data according to the dynamic scheduling scheme parameter set to generate a quality detection feature vector; and mapping the quality detection feature vectors to a causal association graph of the process parameters and the quality indexes for root cause tracing, and generating a corresponding root cause tracing result report. Data-driven automatic quality tracing is realized, root causes can be quickly positioned after defect detection, human intervention is reduced, and the production efficiency is improved.

This invention provides a production capacity estimation system, a production capacity estimation method, and a production capacity estimation program that can easily estimate the production capacity of production lines with different configurations. [Solution] A production capacity estimation method for estimating the production capacity of products produced by a production line composed of multiple production devices acquires device information and operating records of the multiple production devices, generates virtual capacity information of the production line from the device information and operating records, including information on the equipment elements of the production devices, information on the specifications of the production devices, and information on the time required for the production line to produce products (ST1), estimates the virtual production capacity of the production line based on the virtual capacity information (ST4), and displays information on the number of products that the production devices will produce in a predetermined period under ideal conditions, such as no production stoppages due to replenishment work or recovery work, on the display unit as the virtual production capacity.

The present disclosure relates to a virtual production method and apparatus, applied to virtual production performed by using a plurality of videography devices. The method comprises: in a first display period, displaying a plurality of inner frustum images on a display screen in a time-division manner, wherein any videography device among the plurality of videography devices corresponds to at least one inner frustum image among the plurality of inner frustum images, different videography devices correspond to different inner frustum images, the time-division display represents that the inner frustum image corresponding to any videography device is displayed in a first time segment in the first display period corresponding to the videography device, and the inner frustum images corresponding to different videography devices are displayed in different first time segments; and respectively performing photographing in corresponding first time segments by means of the videography devices among the plurality of videography devices, so that the videography devices capture corresponding inner frustum images. The present disclosure achieves multi-camera virtual production, thereby greatly improving the production efficiency and application scenarios of virtual production.