81 results about "Physical entity" patented technology

The invention discloses a large-span truss hoisting and splitting system and method based on digital twinning, and belongs to the technical field of building construction, and the system comprises a physical entity unit, a data acquisition and transmission unit, a digital twinning model unit, a function service and data analysis unit and an application and interaction unit. According to the invention, through real-time sensing of a physical entity state, multi-source data fusion transmission, high-precision digital twinning modeling, intelligent simulation analysis and decision optimization, and fusion of multi-modal man-machine interaction, a virtual control system which is in whole-course synchronous mapping and bidirectional interaction with a physical entity is constructed; according to the method, real-time visual monitoring, trend prediction and risk early warning of the hoisting and splitting process can be achieved, scheme preview and dynamic optimization are supported, virtual-real fusion operation guidance is achieved through the AR technology, and the safety, precision and efficiency of hoisting and splitting operation of the large-span truss are improved.

The invention discloses a digital twinborn model construction method, a life prediction method, a model construction device and equipment of a crane, and relates to the technical field of industrial Internet of Things, the method comprises the following steps: constructing a multi-dimensional digital twinborn model, the multi-dimensional digital twinborn model comprises a physical entity layer, a connection layer, a virtual model layer, a twinborn data layer and a service function layer, the virtual model layer comprises a target twin model, and the service function layer corrects key components of the crane; transmitting the physical parameters of the crane to a connection layer for preprocessing to obtain a physical data set; the physical data set is transmitted to a virtual model layer, and an initial twin model is obtained through kinetic analysis and knowledge graph processing; and transmitting the virtual data set to a twin data layer, calculating target correction parameters according to the physical data set and the virtual data set, and correcting model parameters of the initial twin model to obtain a target twin model. According to the method, the problem of insufficient physical mapping precision of the existing virtual model is solved.

The invention discloses an electromagnetic transient simulation and mapping method and system oriented to multi-physics field coupling, and belongs to the technical field of substation digital operation and maintenance and electromagnetic simulation. Deploying multiple types of sensors in a transformer substation, preprocessing the acquired multi-physical field data, and fusing with the three-dimensional twinborn model; a coupling algorithm is adopted to carry out multi-physical field coupling analysis, multi-physical quantity display and thermodynamic diagram superposition are realized, and scene evolution change simulation under various typical working conditions is supported; a micro-service architecture is adopted to construct a digital twin system, double closed-loop verification of simulation and actual measurement is performed through actual measurement data and simulation data of a real-model test field, model optimization is completed, and real-time mapping of electromagnetic transient dynamic simulation and a transformer substation physical entity is realized. The method improves the precision of model and entity mapping, meets the requirements of real-time tracking and response of the electromagnetic transient change of the transformer substation, adapts to the digital transformation of different transformer substations, and provides a basis for the operation and maintenance of the transformer substations.

The invention discloses a coal mine robot cluster-oriented virtual entity synchronous mapping method. The method comprises the following steps of: constructing a virtual entity synchronous mapping system consisting of a coal mine robot cluster physical entity, a coal mine robot cluster virtual entity, coal mine robot cluster twin data, cluster service application and information interaction; a coal mine robot cluster is used as a physical entity object, an OPC UA communication protocol is used for data collection, the collected data is processed, a virtual entity is driven in a script mode based on a Unity 3D physical engine, and therefore a virtual-real mapping channel is established; converting various non-standardized data structures of the robot cluster into standardized data structures; data of the heterogeneous robot are collected and transmitted through standardization of various communication protocols, and the data are used for driving the virtual entity model. The method has the advantage of performing synchronous mapping on the virtual entities so as to facilitate intelligent management and control.

The invention discloses a task processing method and an intelligent device, and relates to the technical field of intelligent devices, and the method comprises the steps: obtaining multi-modal data which comprises task information of a to-be-processed task in a real-time interaction scene of a physical entity and an environment; performing feature extraction and feature alignment processing on different modal data in the multi-modal data to obtain a first feature after feature alignment; performing cross-modal data retrieval on a knowledge base based on the first feature to obtain target retrieval data; performing feature fusion on different modal data features in the first features to obtain second features; and making a decision based on the target retrieval data and the second feature by using a decision model to obtain an action instruction sequence, and executing the to-be-processed task based on the action instruction sequence.

The invention discloses a remote intelligent control system and control method for a crane, and relates to the technical field of crane control, the system comprises the following components: a physical entity layer, a digital twinborn layer, a 5G transmission layer, a VR interaction layer and a virtual-real calibration layer; according to the method, an equipment state predictive modeling technology is adopted through a digital twinborn layer, historical operation data of a crane are collected, an equipment state database is constructed, key features related to equipment faults are extracted, and an equipment state prediction model is constructed based on a long-short-term memory network; according to the method, the change trend of equipment state parameters in the future 72 hours can be predicted, when the predicted state parameters approach or exceed a fault threshold value, the system can automatically mark corresponding parts in the digital twin, generate maintenance suggestions and synchronize the maintenance suggestions to a VR interaction layer to prompt an operator, and the maintenance suggestions are displayed in the VR interaction layer. According to the predictive maintenance mechanism, equipment faults can be early warned and processed in advance, the non-planned downtime is shortened, and the operation and maintenance cost is reduced.

Methods and apparatuses for radio communication. The method includes transmitting first information that characterizes at least one quality associated with a downlink channel received by a radio terminal and transmitting second information that characterizes a present or future environmental situation of a physical entity that is associated with the radio terminal.

The invention discloses a cotton digital processing system and method based on digital twinning, and relates to the field of digital twinning and cotton processing.In the system, a physical entity layer collects equipment operation parameters and cotton quality data of all physical equipment in the cotton processing link; the virtual-real mapping layer obtains equipment operation parameters and cotton quality data and uploads the equipment operation parameters and the cotton quality data to the service application layer, and a digital twinborn model is driven according to the equipment operation parameters; the service application layer is used for determining the optimal operation parameter of each physical device based on the cotton quality parameter, determining a consistency evaluation result based on the device operation parameter and the optimal operation parameter of each physical device, and determining an instruction according to the optimal operation parameter of each physical device when the consistency is inconsistent; performing visual display on the digital twin model driven by the equipment operation parameters; and the physical entity layer is also used for controlling each physical device to work according to the instruction. The intelligent level of cotton processing can be improved, resource loss is reduced, and the cotton quality is guaranteed.

The application relates to the technical field of digital asset protection and information security, and discloses a digital asset uniqueness binding and identification method based on microscopic physical characteristics, which comprises the following steps: acquiring multi-dimensional microscopic physical characteristic data such as microscopic textures and materials of a physical original work, and acquiring a random optical response pattern of a physically unclonable function label as a supplementary or alternative source; and generating a physical fingerprint hash through multi-modal fusion. The system acquires at least one living body detection result, confirms that an operator is a real living body, acquires a digital signature generated by an identification personnel based on dynamic behavior, binds the digital signature with the physical fingerprint hash, and writes the physical fingerprint hash into a block chain. When subsequent identification is performed, the characteristics are reacquired and consistency comparison is performed, and the authenticity of the digital signature is verified. The application can prevent physical entity forgery, realizes privacy protection and cryptographic self-evidence of identification operation through zero-knowledge proof, and improves the binding reliability of digital assets.

The application discloses a bearing sealing structure internal defect nondestructive testing method and system, and relates to the technical field of nondestructive testing.The method comprises the following steps: before and after the start and end of a measurement task, calibrating a physical reference built in the system to calibrate and quantify system drift; during the scanning process, through a coaxial reverse differential measurement mechanism, real-time immunity to dynamic errors is generated to generate pretreated three-dimensional point cloud data flow; finally, through vector projection analysis of actual geometric distortion topological morphology and a predefined topological fingerprint representing a systematic aging mode, the diagnosis and compensation of the health state of the system itself are realized.Through an internal and full-cycle error defense system, the application can generate a three-dimensional model highly consistent with a physical entity, and the fidelity and long-term reliability of the detection result are improved.

The invention provides a metro framework repair welding method, and relates to the field of welding control, comprising S1-S6. According to the technical scheme of the invention, the links of removal, welding, shape modification and the like which traditionally depend on personal technology and experience of welders are completely replaced, and a twin model and a pre-welding model are scanned and created through a plurality of positioning points which are spatially arranged; according to the method, accurate mapping from a physical entity to a number is achieved, a basis is provided for subsequent removal, welding and shape modification, the process is planned and verified with a digital model as the unique basis, scanning-planning-execution-verification closed-loop control is formed, detection is advanced from post-welding to interlayer, and the detection efficiency is greatly improved. Defect detection is carried out after surfacing of each layer is finished, the defects are marked and repaired, accumulation and remaining of the defects are fundamentally eradicated, the repair cost is reduced, detection is carried out in combination with magnetic powder inspection after accurate grinding, and through combination of the double processes, overall repair is more accurate, and quality tracing of the whole life cycle is achieved.

The invention provides, amongst other aspects, a computer-implemented method for detecting characteristic physical data values, the method comprising the steps of: receiving physical entity data; extracting at least two respective physical data values from the physical entity data; determining respective numerical vectors of the respective physical data values by means of a trained neural network; determining respective characteristic scores based on the respective numerical vectors; selecting characteristic physical data values from said respective physical data values, the selection being based on their respective characteristic scores; returning a result comprising said respective characteristic physical data values, preferably along with their respective characteristic scores; wherein said extracting comprises partitioning the physical entity data into the respective physical data values.

The invention discloses a method, equipment, a product and a medium for digital technology assisted physical creation, and relates to the field of digital technologies. The method comprises the steps of collecting a multi-view image of a physical creation entity and performing three-dimensional reconstruction to generate current state data; comparing the data with a preset digital target model to generate deviation data; generating a calibration visual instruction based on the deviation data, and displaying a calibration mark on a front-end display interface to guide a user; and collecting interaction data including confirmation or denial of the calibration instruction by the user. According to the method, the creation deviation can be dynamically calibrated, the conformity of the physical entity and the digital target model is improved, meanwhile, the final decision-making right of a creator is reserved through user interaction, interaction feedback of man-machine cooperation in the physical creation process is achieved, and then the physical creation efficiency of the creator is improved.

Examples for localization using tessellated grids are described. In an example, a plurality of physical entities can be identified in an indoor space and each physical entity can be georeferenced to a coordinate system. The indoor space can be divided into a grid of polygonal tiles abutting adjacent polygonal tiles, and arranged in a hierarchical structure with the tiles in one level of the hierarchical structure being substantially representable by polygonal tiles in other levels of the hierarchical structure. The grid is then spatially indexed by associating each physical entity with a polygonal tile from amongst the polygonal tiles in each hierarchical level, thereby correlating a georeference of the physical entity with the polygonal tile. Based on the spatial indexing, a grid map for the indoor space can be generated for localizing mobile devices in the indoor space.

The invention relates to the technical field of robot control, in particular to a multi-task execution control device and method for an automatic cruise robot, which integrates multi-dimensional heterogeneous data, constructs a virtual digital twin model consistent with a physical site, provides a basis for synchronous mapping, and is driven by real-time data. Two-way interaction and high-precision space-time synchronous mapping between a physical entity and a virtual model are achieved, the cruise robot and the virtual model cooperatively scan and analyze a site, automatically plan a path and go to a key inspection work task point, a layered distributed state machine architecture is adopted, multiple technologies are fused, and the system and the method are simple and convenient. Multi-task autonomous decision making and motion planning in a complex environment are achieved, infinite times of testing are conducted on an algorithm in a virtual environment, massive verification data are accumulated, optimization debugging is conducted on control parameters and strategies of an entity robot based on virtual test data, and the problem that an automatic cruise robot multi-task control method at the present stage is insufficient is solved.

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 invention relates to the technical field of digital cultural heritage protection, in particular to an ancient musical instrument digital duplicating method based on an acoustic modeling and 3D printing technology, which comprises the following steps: synchronously executing geometric structure data acquisition and acoustic characteristic data acquisition on an ancient musical instrument body to be duplicated; constructing a parameterized physical acoustic model based on the acoustic characteristic data; preparing a physical entity copy of the ancient musical instrument through an additive manufacturing technology by utilizing the geometric structure data; carrying out acoustic characteristic data acquisition on the physical entity copy to obtain an acoustic response of the physical entity copy; and carrying out comparative analysis on the acoustic response of the copy, the acoustic response of the original musical instrument body and the output of the physical acoustic model, and carrying out iterative optimization. Through a multi-dimensional data collaborative acquisition mechanism and a sound-shape fusion verification and iteration calibration process, high-precision digital reproduction of shape, sound and playing integration is realized, and the problem of shape and acoustic data separation in the background technology is solved.

Provided are a digital twinning method, apparatus and device for a full life cycle of a thing. The method includes: creating a data model of a thing, the structure of the data model being an attribute parameter set of the thing; obtaining the current state, historical state and planned state of a same target thing; and performing digital twinning on the basis of the data model and the current state of the target thing to obtain a real-time thing object, performing digital twinning on the basis of the data model and the historical state of the target thing to obtain a historical thing object, and performing digital twinning on the basis of the data model and the planned state of the target thing to obtain a planned thing object, wherein the thing is a physical entity or an event.

The embodiment of the invention provides a universal motion processor for controlling motion of a physical entity. The core structure of the processor comprises at least one programmable motion calculation core used for processing calculation tasks related to dynamics and motion optimization of the physical entity; the at least one model interface is used for receiving model data describing the mechanical structure of the physical entity; and the at least one instruction interface is used for receiving motion task instructions. Wherein the motion computing core is configured to process a motion task instruction received through the instruction interface based on model data received through the model interface to generate a control signal for driving the physical entity. Based on the scheme, the invention provides a special hardware core to ensure the calculation performance and real-time performance of motion control, and meanwhile, through a standardized interface design, the system can adapt to different physical entities, thereby fundamentally solving the contradiction between'special 'and'universal'.

The invention discloses an operation and maintenance management system based on a digital twinning technology, and relates to the technical field of digital twinning operation and maintenance, and the system comprises the steps: collecting multi-dimensional real-time operation and maintenance data through a sensor network disposed on a physical entity; bidirectional data interaction with a physical entity is completed through a standardized interface; performing multi-source data collaborative governance on the multi-dimensional operation and maintenance data derived from the multi-dimensional attribute features of the physical entities; mapping the running state of the physical entity in the virtual space; a full-period intelligent operation and maintenance decision is promoted to be converted from passive response to active prevention; and operation and maintenance management of the digital twinning technology is completed. According to the method, high-fidelity, low-delay and two-way closed-loop linkage of the physical entity and the virtual space is realized, the accuracy and timeliness of fault prediction, root cause positioning and maintenance response are improved, and the digital twin is ensured to be reliable, credible and available in the whole life cycle, so that the intelligentization, automation and refinement levels of operation and maintenance management of a complex system are improved.

A physical entity diagnostic system may utilize a digital twin of a physical entity and large language models (LLMs) operative to predict a component failure of the modeled physical entity. A method for predicting a component failure of a physical entity may include generating a digital twin of a physical entity virtually representing the physical entity and components of the physical entity, accessing sensor data of sensors configured to measure information of the components to reproduce operating conditions of the physical entity via the digital twin; executing LLM agents trained to predict a component failure of one of the components of the physical entity virtually represented by the digital twin based on the sensor data, the LLM agents operative to predict the component failure using simulation scenarios based on a simulation objective and to execute simulations for the simulation scenarios using the digital twin.

The invention relates to a diver stress state and attitude simulation method and device, equipment and a medium. According to the method, a physical entity with accurate direction and speed is constructed, so that real environment driving is provided for stress calculation of the diver; by establishing a refined hydrodynamic model based on multiple rigid body segments, the influence of attitude change on motion stability, resistance and energy consumption is accurately simulated; a physiological feedback mechanism in which the pressure, the visual range and the fluid environment are linked is established, and diver operation training conforming to the fluid mechanics law and human kinematics is achieved.

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 relates to the field of fracturing engineering technology and discloses a fracturing engineering data monitoring method, including a physical entity, a virtual entity, a twin data platform, and a data operation and maintenance system. Both the physical and virtual entities are connected to the twin data platform, which in turn is connected to the data operation and maintenance system. This invention has the following advantages and effects: by creating a 3D model of the physical entity and its connection method on the twin data platform, and simulating the construction data of the physical entity onto the virtual entity through the data operation and maintenance system, the construction data can be intuitively displayed through the display module by clicking on each virtual entity; by setting up a monitoring camera and a video display module to perform image monitoring of the equipment entity, the monitoring effect is improved; and by using a material alarm module and an engineering material display module, the remaining amount and time of engineering materials are monitored and calculated, and a material list is displayed, with automatic alarms and displays for remaining material quantities.

The invention relates to the technical field of digital twinning modeling, in particular to a physical entity high-fidelity digital twinning modeling method based on multi-source heterogeneous data fusion. The method comprises the following steps that a physical significance knowledge base fusing geological uncertainty is constructed, and a plurality of physical significance labels are stored in the physical significance knowledge base; distributing a corresponding physical significance label for each model component in the initial digital twin hybrid model; training the digital twin hybrid model by using historical construction and monitoring data of the deep foundation pit; and dynamically adjusting the weights of the mechanism model component and the artificial intelligence model component according to the complexity evaluation value, and generating a physical significance explanation corresponding to the result. The method improves the adaptability and prediction precision of the model in the whole life cycle, can understand which physical processes dominate current prediction and which artificial intelligence components play a key role in compensating which uncertainty, and enhances the credibility of the result.

The invention relates to real-time synchronization between a physical entity and a mixed reality environment. An apparatus includes a physical entity operatively connected to a plurality of sensors. The microcontroller is configured to map respective baseline positions of the sensors. A virtual reality (VR) controller is adapted to create a digital twin of a physical entity. The microcontroller receives sensor data from the plurality of sensors and converts the sensor data into corresponding position values. The microcontroller is adapted to determine, in a predefined priority order, whether the respective position value has deviated from the respective baseline position. The VR controller generates an updated digital twin by updating corresponding virtual location values in the digital twin based on the unique alphabetic code. The updated digital twinning is transmitted to the virtual reality medium or the mixed reality medium, and the operation of the physical entity is controlled in real-time based in part on the updated digital twinning.

The invention discloses a mixed reality physical entity interaction method and system based on hand skeleton tracking, and belongs to the technical field of human-computer interaction. The problems that in existing mixed reality interaction, in-air gestures are low in precision and prone to fatigue, and a special controller is not portable and high in cost are solved. The method comprises the following steps: acquiring hand three-dimensional skeleton node data when a user grabs a passive physical entity through head-mounted computing equipment; at least two key skeleton nodes are selected, and control parameters representing the real-time relative space relation of the key skeleton nodes are calculated; and establishing mapping between the parameter and the target attribute of the virtual interaction element so as to drive virtual interaction in real time. According to the method, any common physical entity is temporarily converted into a high-precision interaction medium, and the method is mainly used for realizing natural and low-cost fine control with physical feedback in mixed reality application.

The invention discloses a quartz rod melting and stretching intelligent manufacturing method based on digital twinning. The method comprises the following steps: 1) collecting real-time parameters in a quartz rod melting and stretching process; 2) data preprocessing; 3) acquiring temperature distribution and strain in the melting and stretching process of the quartz rod according to the acquired parameters; 4) constructing a multi-physical field digital twinborn model of a fusion thermal field, a flow field and a stress field in the fusion stretching process of the quartz rod; 5) performing dynamic simulation on the stretching forming process of the quartz rod by using the model, and predicting the forming temperature, stress distribution and size change; 6) optimizing and adjusting process parameters according to prediction output of the twinborn model; according to the method, the multi-physical-field digital twin model in the stretching forming process of the quartz rod is built, prediction and optimization of the manufacturing process are achieved through synchronization and interaction of a physical entity and a virtual model, and the product forming quality and manufacturing efficiency can be improved.