46 results about "Virtual plant" patented technology

Embodiments can include a system, or a method, for providing a service to monitor a manufacturing status of a vehicle. In an embodiment, a system can include a production management system configured to monitor an assembly process progress state of the vehicle to generate work status information, and a metaverse service operation system configured to build a metaverse environment to include a virtual factory environment modeled as an image-based virtual space of a factory where the vehicle is manufactured, to update the metaverse environment to depict a process currently in progress for the vehicle within the virtual factory environment based on the work status information, and to transmit data for executing the metaverse environment to a customer terminal.

A digital twin system includes multiple twin model modules and multiple digital factory modules. Respective ones of the multiple digital twin system models comprises control logic and are configured to virtualize respective control systems for respective ones of multiple factories. Respective ones of the multiple digital factory modules are configured to virtualize respective ones of the multiple factories and are controlled by respective ones of the multiple twin model modules to create a virtual factory model. The digital twin system further includes a simulator module configured to manage the multiple twin model modules.

The invention relates to a virtual simulation method, device and equipment for a factory assembly line and a readable storage medium. The method comprises the following steps: acquiring a plurality of technological processes and a technological diagram of each technological process; the current technological process is determined according to the execution sequence of the multiple technological processes, and based on the multiple position points corresponding to the current technological process, the virtual mechanical arm is controlled to move in the factory digital twinning scene model till execution of the multiple position points corresponding to the current technological process is completed; the factory digital twinning scene model is constructed based on a three-dimensional model of a virtual factory assembly line and a three-dimensional model of a virtual mechanical arm; the next technological process continues to be executed until the multiple technological processes are executed. By adopting the method, the process flow in the factory assembly line can be accurately simulated, the factory assembly line based on virtual simulation guides the layout and adjustment of the actual factory assembly line, and the safety of the factory assembly line can be improved.

The invention provides an interaction method and device in a virtual scene, electronic equipment, a storage medium and a program product. The method comprises the following steps: displaying an interactive virtual plant and a virtual object in the virtual scene; when the virtual plant is in the first stage, the virtual plant is controlled to grow at least one plant element, and the plant element is in the first state; in the process that the plant element is in the first state, in response to an interaction instruction for a target plant element in the at least one plant element, controlling the virtual object to execute an interaction operation for the target plant element; in the interactive operation execution process, the attribute value of the target attribute of the virtual plant is controlled to be reduced. Through the application, the diversity of interaction in the virtual scene and the utilization rate of hardware resources can be improved.

Relates to the technical field of operating systems, in particular to an industrial operating system which comprises an edge connection layer, an infrastructure layer, a service platform layer and an application layer, and the edge connection layer is used for achieving real-time mapping from a physical factory to a virtual factory; the infrastructure layer is used for processing mapping data and generating business logic codes, the business platform layer supports business hierarchical development and dynamic expansion based on the business logic codes, and the application layer is used for providing industrial App installation, unloading and updating functions based on a three-level expansion system and configuring a multi-level authorization management system; the decentralized networking module is used for supporting node autonomous operation and multi-level management unit configuration in a network disconnection environment, guaranteeing cross-node consistency of mapping data, supporting multiple networking modes and cross-industry universal data structures, and adapting to different industrial scenes and industry requirements.

A plant three-dimensional reconstruction method for a weak texture image and scale distortion comprises the following steps: step 1, recovering an initial Gaussian point cloud and camera parameters through an SfM method by using a multi-view RGB image; 2, differential rendering is executed in training iteration, a predicted image is compared with a real image, and a loss function containing various constraints is calculated to serve as a basis for gradient solving and parameter updating; 3, calculating a pixel weighted average gradient and an artifact suppression coefficient of each Gaussian in a visible view angle; 4, updating Gaussian parameters through back propagation, and adaptively triggering Gaussian cloning, splitting or deleting operation based on the pixel gradient, the covariance matrix and transparency; and 5, dynamically adjusting the Gaussian projection matrix according to the focal length and the resolution of the camera during rendering so as to maintain scale consistency, and performing anti-aliasing rendering in combination with pixel-level super-sampling. According to the method, the reconstruction precision and the structure reduction capability of the virtual plant in the weak texture region are remarkably improved.

The invention provides a tracking method and device for plant growth care. The tracking method and device are applied to MR equipment. The MR equipment establishes communication connection with the server; a specific embodiment of the method comprises the following steps: firstly, when a real plant is identified, displaying a current virtual plant corresponding to the real plant; secondly, based on triggering of a user care instruction, planting interaction of a current virtual plant is detected, and a detection result is generated; then, if the detection result shows that the planting interaction of the current virtual plant meets the preset condition, executing a planting operation corresponding to the user care instruction, and generating care data; and updating the preset operand. According to the embodiment, virtuality and reality combined plant growth care is achieved in an MR mode, the plant growth process can be simulated and presented on a real plant, and the plant care process is tracked for a long time; therefore, a presentation mode with a better virtuality and reality combination effect can be provided, the long-term experience of the whole plant growth care process is realized, and the user experience is improved.

Systems and methods for controlling conveyors in a virtual environment are disclosed. A system for controlling conveyors in a virtual environment includes a twin model module including control logic and configured to virtualize a control system for conveyors installed in a plant. The system also includes a digital plant module configured to virtualize a conveyor installed in the plant and create a virtual plant model controlled by the twin model module. The virtualized conveyor includes a plurality of paths formed by joint-based splitting of the conveyor. The twin model module is configured to control a transport path of the product based on the joint.

This invention relates to a virtual inspection and process simulation method and system for rare earth production processes, belonging to the field of digital twin technology. A virtual workshop is established based on the geometric model of the production site, control scripts, and real-time data, simulating the entire process. By establishing the virtual rare earth workshop and creating a data connection between the actual workshop and the virtual factory, data visualization demonstrations of various production processes can be achieved, along with rapid inspection of production equipment. Furthermore, based on the extraction mechanism and historical data, component content is predicted, and automatic early warnings are issued, enabling real-time and accurate prediction of process indicators. Simultaneously, the system can quickly respond to changes in production conditions, providing system early warnings and optimization data, which helps reduce the burden on operators, optimize production process control, improve production management efficiency, and achieve effective utilization of on-site process data.

The invention discloses a plant management and control system based on artificial intelligence and big data, particularly relates to the field of plant management and control, and comprises a plant data acquisition module, a virtual plant construction module, a global coordination optimization module and a control instruction execution module. According to the plant management and control system based on artificial intelligence and big data, path conflicts and resource competition decision conflicts are recognized in advance through a virtual plant model of a virtual plant construction module, a predictive negotiation space is provided for management and control scheme optimization, and the risk of control instruction overlapping in the physical world is effectively avoided; global collaborative decision of multiple edge nodes is realized through a global collaborative optimization module, a control scheme is dynamically adjusted to eliminate conflicts, and instruction overlapping caused by independent operation is avoided; and a virtual model and agent strategy is continuously corrected through feedback data by the control instruction execution module, so that the stability of global coordination is further enhanced, conflict recurrence is avoided, and efficient operation of the system is guaranteed.

The invention relates to the technical field of digital factories, and provides a digital factory building method and device, equipment and a medium, and the method comprises the steps: obtaining a digital factory building demand; converting the digital factory building demand into structured data, and determining a target module type and a target module parameter according to the structured data; generating a standard production module according to the target module type and the target module parameter; determining a functional area and a module position in the functional area according to a digital factory building requirement, and arranging standard production modules to the functional area and the module position to obtain a virtual factory building module network; on the basis of network nodes and edges of the virtual plant module network, a production line is built, time parameters are given to production nodes and paths of the production line, a production process simulation model is obtained, and the production process simulation model is used for guiding building of an actual plant. According to the scheme, efficient, flexible and self-adaptive digital factory construction is realized.

This invention provides a real-time bending and shaping method for virtual plants based on adjustable stiffness weights. The method involves configuring virtual plant parameter information and generating a parameterized plant model. The parameter information includes at least plant parameter information, plant control parameter information, and environmental parameter information. When the interactive mode is activated and the plant end is dragged, the end of the plant model is acquired and fixed at the target dragged position. Based on the target dragged position, the dragged virtual plant structure undergoes weighted inverse dynamic bending processing and interpolation. Based on the updated dragged virtual plant structure, other branch structures of the virtual plant are updated synchronously. The overall updated virtual plant structure is subdivided and subjected to Catmull-Rom curve interpolation. The interactive mode is then terminated, and the currently updated virtual plant structure is solidified. This invention uses gradual stiffness, mass curves, and weak bending moment constraints to make the bending shape of the virtual plant highly similar to the stress on real branches.

The invention discloses a virtual plant modeling method and device, electronic equipment, a medium and a product, and is applied to the technical field of digital modeling. The method comprises the steps of obtaining a plant name of a to-be-generated virtual plant in response to a first input operation; determining matched vegetation morphological parameters of the plant name in a preset botanical knowledge base, wherein the vegetation morphological parameters are used for representing three-dimensional morphological characteristics of the virtual plant; determining the value of each vegetation morphological parameter, and performing parameter mapping on each vegetation morphological parameter to generate an initial model file, the initial model file comprising initial model parameters for generating a three-dimensional model of a virtual plant; and generating a three-dimensional model of the virtual plant based on the initial model file. Therefore, the modeling threshold can be reduced, the modeling efficiency of the virtual plant is greatly improved while the modeling reasonability is guaranteed, and the project development progress is effectively improved.

The present invention provides a tracking method and device for plant growth and care, which are applied to an MR device; the MR device establishes a communication connection with a server; a specific implementation of the method includes: first, when a real plant is identified, the current virtual plant corresponding to the real plant is displayed; second, based on the triggering of a user care instruction, the planting interaction of the current virtual plant is detected and a detection result is generated; thereafter, if the detection result indicates that the planting interaction of the current virtual plant meets a preset condition, the planting operation corresponding to the user care instruction is executed, care data is generated; and a preset operation number is updated. This embodiment implements virtual and real combined plant growth and care in an MR manner, can simulate and present the plant growth process on a real plant, and track the plant care process over a long period of time; thereby, it can provide a presentation method with a more virtual and real combined effect, realize a long-term experience of the entire plant growth and care process, and thus improve user experience.

The application relates to the technical field of supply chain management, and discloses a supply chain cooperative management system based on composite material sharing intelligent manufacturing; the system comprises a feature extraction module, which is used for extracting shared manufacturing features; a role analysis module, which is used for dividing supply roles into primary roles and secondary roles; a virtual factory module, which is used for generating a virtual factory with a shared path; and a shared upgrading module, which is used for updating and upgrading the shared path; the application can convert actual physical layer shared manufacturing into one-time all-around virtual simulation, thereby being capable of discovering and avoiding adverse reactions and supply defects existing in capacity connection, efficiency matching, visual cooperation and the like of different types of suppliers in advance, realizing level crossing of supply chain cooperation from static matching to dynamic optimization and simulation verification, and reducing the error probability of supply chain cooperation during composite material sharing intelligent manufacturing.

Disclosed are a device and a method for providing metaverse-based farm operation content. According to an embodiment of the present application, the method for providing metaverse-based farm operation content may comprise the steps of: (a) by using spatial information of an offline farm and plant information of a real plant cultivable in the offline farm, generating metaverse-based farm operation content that enables cultivation of a virtual plant corresponding to the real plant in a virtual farm virtually simulated to correspond to the offline farm; (b) receiving a user input associated with the farm operation content from a user terminal; and (c) reflecting, in the farm operation content, at least one of an environmental factor constituting the virtual farm and a growth factor of the virtual plant, both of which change according to the user input, and outputting the farm operation content through the user terminal.

The invention discloses a method for adding a unique code to a virtual factory object based on REVIT, and the method comprises the following steps: S1) deconstructing the factory object: deconstructing the factory object according to the industrial characteristics, carding the attributes of the factory object, and abstracting feature points; s2) feature point combination: extracting part of feature points from the general feature points for combination to form a feature point composition structure with a unique code, and ensuring that the composition structure is suitable for all factory objects; s3) establishing a coding standard; according to the method, the design is reasonable, the universality is high, the limitation of software on the type of the model object is broken through through feature point definition, the database can be inquired according to the self-defined object type for automatic assignment, the efficiency and accuracy are high, the code readability is high, the basic information of the factory object can be quickly determined through code reverse disassembly, and the working efficiency is greatly improved.

The invention provides an interaction method and science popularization education equipment applied to a plant diversity game, and the method comprises the steps: obtaining a resource set of a user in a virtual plant planting game, determining the growth state of a virtual plant according to the resource integral of each resource in the resource set, and displaying the growth state of the virtual plant. Rendering the virtual plant in the game interface according to the growth state; in response to a target emergency randomly extracted by the user, analyzing the damage degree of the target emergency to the current growth stage of the virtual plant, and respectively determining the influence value of the damage degree to each resource integral; and correspondingly adjusting the resource integral of each resource according to each influence value, and updating the growth state of the virtual plant according to the adjusted resource integral. By introducing multi-resource management, growth state dynamic adjustment and emergency handling mechanisms, the plant growth complexity can be simulated, the challenge and interestingness of games can be enhanced, and meanwhile, a platform for learning plant ecological knowledge is provided for players.

A virtual plant operator system for use in an industrial plant. A data aggregator monitors operating data within the industrial plant and sends the operating data as a current state of the industrial plant to an operator assistant. The operator assistant includes a digital twin of the industrial plant and an artificial intelligence engine. The digital twin of the industrial plant receives the current state and simulates plant operations based on the current state. The artificial intelligence engine has at least one machine-learned model. The machine-learned model processes the simulated plant operations based on the current state to determine a recommendation output. The recommendation output includes stabilizing actions to the plant operations in the industrial plant and / or a predicted degree of shutdown responsive to each of the stabilizing actions.

The present invention discloses an FSM simulation method and system based on a virtual factory robot, specifically relating to the technical field of FSM simulation. It includes using the Q-Learning algorithm in FSM simulation to optimize the decision-making process of the robot, extracting the current task and future tasks of the robot during the decision-making process of the robot, analyzing the historical reward values of different future tasks of the robot, performing exponentially weighted moving average analysis and probability density analysis on the historical reward values of future tasks, determining the uncertainty information of future tasks, obtaining the dependency information of future tasks through comparative analysis, comprehensively analyzing the uncertainty information and dependency information of future tasks, dynamically adjusting the discount factor of the Q-Learning algorithm, and selectively using the updated discount factor. Through FSM simulation, the present invention helps the robot complete tasks more efficiently in a complex and dynamic factory environment, thereby realizing intelligent production management.

This invention provides an energy management system that can optimally control actual plant equipment using an operation plan formulated by an operation plan formulation device. [Solution] According to one embodiment, the energy management system comprises an actual plant facility, a plant simulator that simulates the operation of the actual plant facility, an operation plan formulation device that formulates an operation plan for the actual plant facility, a virtual plant control system that controls the plant simulator based on the operation plan, and an actual plant control system that controls the actual plant facility based on the operation plan. The virtual plant control system acquires the operation plan via a communication path connecting the operation plan formulation device and the virtual plant control system. The actual plant control system acquires the operation plan via a communication path connecting the operation plan formulation device and the actual plant control system.

When a worker executes an operation on an actual plant, an information processing device generates a first calculation result obtained by calculating a behavior of the actual plant after execution of the operation using a virtual plant following an operational status of the actual plant and generates each second calculation result obtained by calculating a behavior of the actual plant with respect to each of operation pattern plans corresponding to a state of the actual plant. The information processing device evaluates the operation that is executed by the worker based on the first calculation result and the second calculation result.

The technical idea of the present invention provides a learning system for manufacturing a secondary battery, comprising: a simulation device constructing a virtual factory in which a plurality of manufacturing facilities configured to perform a secondary battery manufacturing process are disposed, and outputting the virtual factory to a display device; and an input device configured to transmit, to the simulation device, a user input signal generated on the basis of a user input. The simulation device is configured to change the position of the virtual factory displayed on the display device according to the user input signal, and to output, to the display device, content associated with a manufacturing facility selected by the user input signal from among the plurality of manufacturing facilities.

The technical idea of the present invention provides a secondary battery manufacturing learning system including a simulation device configured to construct a virtual factory in which a plurality of manufacturing apparatuses configured to perform a secondary battery manufacturing process are provided and output the virtual factory to a display device, and an input device configured to transmit a user input signal generated based on a user's input to the simulation device. The simulation device is configured to change a position of the virtual factory displayed on the display device according to the user input signal, and output content associated with a manufacturing apparatus selected from the plurality of manufacturing apparatuses by the user input signal to the display device.

The invention discloses a digital twin technology-based digital factory collaboration system for a sewage treatment equipment control cabinet. The digital twin technology-based digital factory collaboration system is characterized by comprising a digital twin module, a comprehensive plan management module, a design management module, a production management module and a material management module, the modules are interconnected and intercommunicated through the digital management cloud platform; based on the digital twinning system, a user can put forward product requirements and establish an engineering project on a digital platform through the Internet, then construction drawing deepening design is conducted on the engineering project through a digital twinning model in combination with an enterprise family library, virtual preassembly is conducted in a virtual factory through the digital twinning system, and the engineering project can be subjected to construction drawing deepened design through the digital twinning model. According to the invention, electrical circuit design can be automatically carried out, material preparation of the electrical cabinet can be automatically carried out according to a design drawing, a worker only needs to carry out installation according to a layout diagram, the working efficiency is improved, and the professional knowledge requirement of the wiring worker is reduced.

The invention provides a virtual plant real-time bending shaping method based on an adjustable rigidity weight, parameter information of a virtual plant is configured, a parameterized plant model is generated, and the parameter information at least comprises plant parameter information, plant control parameter information and environment parameter information; when the interaction mode is activated and the tail end of the plant is dragged, obtaining and fixing the tail end of the plant model at a dragging target position; according to the dragged target position, weighted inverse dynamic bending processing and interpolation processing are carried out on the dragged virtual plant structure; according to the updated dragged virtual plant structure, synchronously updating other branch structures of the virtual plant; subdivision and Catmull-Rom curve interpolation processing are carried out on the virtual plant structure after the overall updating is carried out on the virtual plant structure; and ending the interaction mode and carrying out solidification operation on the currently updated virtual plant structure. According to the method, the bending form of the virtual plant is highly attached to the stress of a real branch through gradual rigidity, a mass curve, weak bending moment constraint and the like.

The invention discloses an FSM simulation method and system based on a virtual factory robot, and particularly relates to the technical field of FSM simulation, and the method comprises the steps: employing a Q-Learning algorithm in FSM simulation to optimize a decision process of the robot, extracting a current task and a future task of the robot in the decision process of the robot, and carrying out the optimization of the current task and the future task of the robot, historical reward values of different future tasks of the robot are analyzed, exponential weighted moving average analysis and probability density analysis are carried out on the historical reward values of the future tasks, uncertainty information of the future tasks is determined, and dependency information of the future tasks is obtained through comparative analysis; according to the method, uncertainty information and dependency information of future tasks are comprehensively analyzed, discount factors of a Q-Learning algorithm are dynamically adjusted, the discount factors are selectively used and updated, the robot is helped to more efficiently complete the tasks in a complex and dynamic factory environment through FSM simulation, and therefore intelligent production management is achieved.

The invention relates to the technical field of digital twinning, in particular to a digital twinning factory layout building method and system based on CAD data migration, and the method comprises the steps: building a factory drawing by using drawing software, and storing the factory drawing as a file in a DXF format; segments and group codes in the DXF file are decoded, multiple CAD types and corresponding data information are extracted, and the extracted data information corresponding to the CAD types is converted into a geometrical shape of a three-dimensional rendering engine; providing two rendering modes of mapping rendering and triangular mesh rendering, selecting a single rendering mode or a combined rendering mode according to the data density of the geometrical shapes, and summarizing the rendered geometrical shapes to generate a layout drawing; and placing corresponding equipment according to the coordinates on the layout drawing, and building a virtual factory. The problems that in the prior art, the digital twin factory layout building speed is low, the position is inaccurate, the rendering pressure is large, and equipment is difficult to replace and adjust in the production changing process can be solved.

The invention provides a mixed reality-based plant model generation method and application, and the embodiment of the method comprises the steps: firstly, obtaining a virtual plant model and a topological relation corresponding to the virtual plant model; secondly, obtaining a target material library corresponding to the plant growth node based on triggering of a user on any plant growth node in the topological relation; when it is detected that any target material in the target material library is pulled to the plant growth model corresponding to the plant growth node, endowing the plant growth model with the target material, and generating a mixed reality sub-model; and then, based on the mixed reality sub-model corresponding to each plant growth node in the topological relation, generating a mixed reality plant model. Therefore, the target material is endowed to the plant growth model in a mapping manner, so that the authenticity of the mixed reality plant model is improved on the basis of reducing the surface number of the plant model.

AI-controlled sustainable asset lifecycle management system, consisting of: IoT-enabled sensors for real-time asset monitoring; Edge computing and cloud AI for predictive and prescriptive maintenance; Digital twin for virtual plant simulation and performance optimization; AI-powered analytics for failure prediction and maintenance planning; Sustainability module for energy efficiency, waste reduction and integration of the circular economy; Decision support system for life cycle planning and resource optimization; Regulatory compliance module for automated sustainability reports; System integration interface for seamless connectivity with EAM, IoT and cloud platforms.