16 results about "Physical entity" patented technology

This invention relates to the interdisciplinary field of smart healthcare and digital twin technology, specifically to a dynamic medical twin system and interactive prediction method based on a physiological double helix driven and four-dimensional linkage modalities. The system continuously collects and fuses multi-source biophysical data through a physical entity helix, while a digital virtual helix solves a network of physiological equations coupled with metabolic and stress fields in real time. Both systems achieve endogenous synchronous mapping of gene loci and expressed proteins through a built-in base pairing engine. The four modalities of mirroring, deduction, intervention, and knowledge are responsible for high-fidelity real-time presentation, disease progression prediction, virtual intervention deduction, and clinical knowledge accumulation, respectively, forming a complete closed loop of "observation-deduction-intervention-learning." This invention elevates the system architecture from a static hierarchical stack to a dynamic life-body metaphor, supporting users to perform virtual operations on the twin and receive real-time feedback on multi-scale physiological responses across the entire system, achieving a leap from "morphological simulation" to "life mechanism simulation."

The application discloses a control method of digital twin model running behavior mode and related equipment, which can quickly locate the root cause and realize effective intervention when abnormal behavior occurs, and realizes linkage regulation and control. The application comprises: extracting target information of various behavior modes in the digital twin model, and constructing causal characteristics according to the target information, wherein the target information comprises trigger conditions, execution logic and feedback rules; constructing a causal characteristic reference set of various behavior modes according to the causal characteristics; generating a dynamic characteristic code of the current behavior mode according to real-time running data of the physical entity and the digital twin model; matching the dynamic characteristic code with the causal characteristic reference set, if the matching result shows that the current behavior mode is abnormal, determining the abnormal root cause type through causal diagram reasoning, and performing differential behavior intervention processing on the digital twin model and / or the physical entity according to the abnormal root cause type.

The application discloses a model construction method and system based on digital twinning, and the method comprises the following steps: collecting multi-source heterogeneous data of a physical entity, wherein the multi-source heterogeneous data comprises running data, environment data and state data; based on data collection errors, transmission delays and environmental interference factors, the multi-source heterogeneous data is dynamically corrected in credibility; based on the corrected credibility result, the sensitivity parameters output by the digital twinning model in combination with the multi-source heterogeneous data and the real-time requirement parameters of the model application scene corresponding to the multi-source heterogeneous data are used for dynamic weight distribution; based on the allocated dynamic weight, the core parameters of the digital twinning model are updated by using a lightweight iteration strategy to construct the digital twinning model. The system corresponds to realize the above method. The application solves the problems of multi-source data distortion, fixed weight and iteration calculation power consumption, realizes accurate model construction, and adapts to dynamic scene requirements.

This invention discloses an AR recognition and interaction method based on books and physical toys. The method includes the following steps: offline feature registration; online recognition and pose estimation; bidirectional state synchronization; and offline and tracking compensation. This invention enables rapid, label-free recognition of book pages and physical toys, accurate six-DOF pose calculation, real-time linkage between physical entity operations and virtual character states, and tactile feedback from virtual events to physical toys. It ensures the system is fully usable offline, interference-resistant, and has stable tracking, significantly improving the naturalness, immersion, and practicality of the interaction, while also adapting to the offline operation requirements of mobile terminals.

The application provides an underwater intelligent digital twin system based on Unity-Qt-ROS and an implementation method thereof, comprising: a physical entity module: based on an AUV physical prototype and real physical sensors carried thereon, real data of a real world is captured to realize mapping of a physical space to a digital space; a digital space module: a digital mapping body and a digital native body; the digital mapping body is a digital reproduction of the physical entity; the digital native body comprises a digital native scene and a digital native sensor; a human-computer interaction module: a target task is obtained through a graphical user interface, a plurality of subtasks are obtained by decomposing the target task by using a function service module, and each subtask is transmitted to the digital space module and / or the physical entity module for execution; in the execution process, real-time data interaction and state synchronization are realized through a message passing mechanism between the digital space module and the physical entity module, so that real-time interaction from the digital space to the physical entity is completed.

This invention discloses a method, apparatus, device, medium, and product for synchronizing the runtime state of physical entities based on incremental releases. The method includes: if the execution of a target DDL script is detected as successful, obtaining incremental data based on the release event; parsing the incremental data into a change dataset with a preset structure, and serializing each change data in the change dataset into a snapshot; processing each snapshot according to the execution time in the production environment to complete the synchronization of the runtime state of physical entities in the database. This solution solves the problems of poor reliability and real-time performance in existing physical entity runtime synchronization methods. By triggering incremental data extraction after successful DDL script execution and generating snapshots based on the incremental data, and asynchronously merging them according to the snapshot timestamps, the reliability and accuracy of physical entity runtime synchronization are improved, effectively avoiding data conflicts caused by parallel releases.

The application discloses a database virtual physical structure optimization method, device and medium, and belongs to the technical field of databases. The method comprises the following steps: acquiring workload data of a database runtime and aggregating the workload data into sample sequences, performing normalization and structured analysis on SQL to generate a workload graph; inputting the workload graph into an artificial intelligence prediction model to generate a multi-dimensional prediction feature vector within a future time window; generating a candidate virtual physical structure set in the memory according to a prediction result, defining only metadata descriptors without actually creating physical entities; injecting the virtual structure into an optimizer candidate path through a database planner Hook to generate a hypothetical execution plan and a corresponding cost; calculating a multi-objective global score; and outputting an optimal physical structure adjustment scheme according to the global score and system constraints. The application realizes low-risk and forward-looking adaptive optimization of a database without creating real indexes and other physical structures, and in combination with AI load prediction and multi-objective evaluation.

Generating deployment data for a plurality of physical entities includes generating a virtual environment based on a digital twin model of a physical environment. The physical environment includes the plurality of physical entities. Based on a set of parameters associated with each physical entity of the plurality of physical entities, a plurality of simulations within the virtual environment is performed. The set of parameters includes at least one of one or more mobility parameters associated with each physical entity of the plurality of physical entities, one or more interaction parameters associated with each physical entity of the plurality of physical entities, or one or more spatial parameters associated with each physical entity of the plurality of physical entities. The deployment data for the plurality of physical entities is generated based on the plurality of simulations, and further the deployment data is output.

The application provides a digital twin model construction method, device, equipment, medium and product, and relates to the technical field of digital twin. Including: in response to the modeling operation initiated by the user through the graphical interaction interface, importing the three-dimensional model data corresponding to the target physical entity, and generating the initial digital twin model according to the user-defined parameters; continuously acquiring the real-time running data of the target physical entity through the real-time data integration engine, and dynamically updating the state of the initial digital twin model; acquiring the access sub-model from the external heterogeneous model data source through the compatibility adapter; performing format conversion operation on the access sub-model to obtain the target access sub-model consistent with the format of the main digital twin model; embedding the target access sub-model into the specified position of the main digital twin model to generate the target digital twin model with unified structure. Through the method of the application, the real-time state of the target physical entity can be accurately reflected, and efficient fusion of multi-source models is realized.

This invention relates to the field of virtual-real fusion interaction technology, and discloses a method, apparatus, device, and medium for virtual intelligent agent interaction based on a physical carrier. The method includes: acquiring interaction event data from a physical hardware device; encoding the interaction events in the interaction event data to obtain a unique event identifier; validating the interaction behavior based on the unique event identifier; when the validation passes, uploading the unique event identifier and event proof to a server via a user terminal; upon receiving the unique event identifier and event proof, the server performs a legality verification; if the verification passes, querying the target virtual intelligent agent based on the unique event identifier and a preset binding mapping relationship; and updating the interaction state of the target virtual intelligent agent according to the event type corresponding to the unique event identifier. This invention acquires NFC touch and inertial interaction events through physical hardware, generates unique event identifiers, and drives the virtual intelligent agent to update its state, thereby improving interaction security and preventing interaction misjudgments.

A computing device is disclosed. The computing device comprises processing circuitry that is configured to expose (110) a resource that is hosted at the computing device, wherein the resource comprises a digital interface for a physical entity to which the resource corresponds, and expose (120) information about a relation between a state of the resource and a state of the physical entity to which the resource corresponds. Also disclosed is a network node, the network node comprising processing circuitry that is configured to discover a resource that is hosted at the computing device, and to discover information about a relation between a state of the resource and a state of the physical entity to which the resource corresponds. The processing circuitry is further configured to prepare an action relating to the physical entity corresponding to the resource on the basis of a current state of the resource and the information, and to initiate execution of the prepared action.

The present application relates to a kind of heavy load equal material forming robot real-time dynamics digital twin system modeling method, comprising the following steps: S1, only considering the dynamics model of heavy load equal material forming robot of link elastic deformation is established;S2, construct multi-sensor distributed force / position interactive measurement system, arrange grating ruler, encoder, pressure sensor, data fusion is carried out in combination with Kalman filter;S3, PID algorithm is embedded into control system, realizes the closed-loop control of motion trajectory tracking and force feedback;S4, establish the digital twin framework including five dimensions of physical entity, virtual entity, digital data, connection and service.The present application realizes the five-dimensional digital twin system of heavy load equal material forming robot, provides the overall view of robot dynamics through the interaction of physical space and network space, overcomes the problems such as large resource consumption and response delay of high-fidelity simulation.

The present application relates to the technical field of digital twinning of water conservancy projects, in particular to a method for dynamic construction and simulation of a water conservancy project model based on digital twinning, comprising: acquiring multi-source perception data such as time sequence of physical field, geometric structure image and environmental image in a monitoring period of the water conservancy project, performing synchronous space-time registration and multi-modal fusion, constructing a dynamic perception field with unified space-time reference in a virtual space, and integrating physical field quantity, geometric topology and environmental characteristics. A growable digital twin is built with the engineering design blueprint as the initial structure, and the internal state, external topography and operation boundary of the digital twin are synchronously and dynamically evolved by the dynamic perception field. A simulation deduction engine takes the real-time state of the digital twin as the initial condition, loads hydrological, structural and hydraulic rules, carries out multi-time sequence step deduction, and generates a trajectory. The method can eliminate space-time deviation of multi-source data, realize dynamic coupling of virtual models and physical entities, and ensure that the simulation deduction conforms to the actual change state of the project.

This invention provides a method and system for visualizing the safety risks of lifeboat occupants based on digital twins, including: collecting and verifying basic parameters related to the lifeboat release process; constructing a lifeboat gliding-free fall motion model based on theoretical mechanics, and obtaining the initial parameters for water entry at any time before water entry by solving the motion equations through numerical integration; constructing a fluid-structure coupled numerical model, and obtaining the water entry process parameters by solving the transient fluid dynamic equations through the finite volume method; constructing a 1:1 three-dimensional virtual scene with the physical entity, integrating the initial water entry parameters and the water entry process parameters, achieving motion synchronization between the virtual model and the physical entity through coordinate transformation, and achieving virtual-real linkage by combining dynamic environment rendering; calculating the absolute acceleration of each seat in the lifeboat, classifying the risk level based on the combined acceleration response as the core indicator, and realizing the visualization of the safety risks of lifeboat occupants in the high-fidelity three-dimensional virtual scene through color gradient mapping and 3D UI marking.

This application relates to a method, system, and medium for comprehensive laboratory management based on digital twins, falling within the field of safety element management technology. The comprehensive laboratory management method includes: collecting and cleaning relevant data on experimental equipment, functional environment, and personnel behavior in the laboratory to construct physical entity data; constructing a laboratory spatial twin based on the laboratory architectural drawings, mapping and fusing historical physical entity data to generate a laboratory digital twin model; tracing and managing laboratory physical entity data based on the laboratory digital twin model, and identifying abnormal physical entity data; determining abnormal physical entity data based on a preset risk warning mechanism, identifying the entity's risk level, and remotely adjusting and controlling the corresponding physical entity; through real-time mapping of physical entities and digital models, combined with historical data storage, the laboratory status at any time period can be traced back, improving the efficiency of anomaly tracing.

Controlling physical entities by re-baselining protocol data includes simulating one or more activities of a physical environment based on a digital twin model of the physical environment. Based on the simulation, an anomaly associated with the one or more activities executed by each physical entity of the plurality of the physical entities is identified. The protocol data is updated based on the identified anomaly to control at least one of the plurality of entities. Virtual environment data is generated for the physical environment rendered on a user device to facilitate workers to adjust based on the updated protocol data.