125 results about "Physical entity" patented technology

The invention discloses an intelligent construction method, system, equipment and medium based on a digital twin tunnel, and aims to construct a high-precision physical entity model by fusing dynamic and static data in real time through multiple types of sensors so as to improve data acquisition comprehensiveness; based on tunnel-level, soil-level and ground building-level multi-level modeling and finite element analysis, fine mechanical stability simulation is realized; multi-dimensional data features are extracted by combining a convolutional neural network algorithm, security risks are evaluated, and a reinforcement scheme is optimized through dynamic iteration; a closed-loop regulation and control mechanism of data monitoring, numerical simulation and dynamic feedback is formed by utilizing a collaborative architecture of a sensing layer, a simulation layer and a display layer, so that environmental disturbance is effectively reduced, and construction safety is guaranteed; according to the method, digital twinning, BIM, finite element analysis and deep learning are fused, real-time monitoring and intelligent optimization of the whole construction process are achieved, efficiency and safety are remarkably improved, and influences on the surrounding environment are reduced.

The invention discloses a calculation and measurement fused high-fidelity digital twinning dynamic monitoring method for a cantilever beam structure. Firstly, a real-time updated database is constructed based on a physical entity system; secondly, constructing a three-dimensional digital model by using SolidWorks, and performing multi-physics field simulation analysis in combination with Ansys to obtain high-precision mechanism data of a structural key area; thirdly, performing reduced-order calculation on a simulation result by using MWorks, training and optimizing a reduced-order model through a feedforward neural network, and reducing an error between simulation data and reduced-order data; fusing the one-dimensional system data order reduction model and the three-dimensional field data order reduction model based on a Modelica language; and finally, integrating a mechanism-data hybrid model, constructing a dynamic response characteristic and spatial distribution characteristic integrated high-fidelity digital twinborn body, comparing twinborn body calculation data with sensor actual measurement data in real time, and accurately representing geometric morphology, mechanical properties and dynamic behaviors of a physical system. The method is suitable for high-precision monitoring, real-time state evaluation and performance optimization of the cantilever beam structure.

The invention provides a crane with vibration fatigue damage deduction and control functions, which comprises a first sample generation module used for generating a first sample data set taking a generated lifting point and load combination as input and taking the fatigue life cycle index as output; the second sample generation module is used for generating a second sample data set taking the control parameter as input and the lifting dynamic load coefficient as output; and the optimization module is used for carrying out load combination according to an output result of the second prediction model and then inputting the load combination result into the first prediction model, carrying out fatigue residual life deduction of the crane, optimizing control parameters and realizing control on fatigue damage of the crane. According to the method, the influence degree of the dynamic load effect on the fatigue life can be deduced, a fatigue damage control strategy is given, the control parameters matched with the deduction result are fed back to the physical entity, regulation, control, improvement and upgrading of the physical entity are guided, fatigue damage delay and control of the crane are achieved, and the method has important engineering value.

The invention discloses a masonry robot virtual-real cooperative control method and system based on digital twinning, and aims to realize high-precision and high-safety automatic masonry of a coke oven by a robot. The method comprises the following steps: firstly, constructing a digital twin system of a masonry robot, and setting a masonry robot entity industrial control process: firstly, conveying refractory bricks to a specified photographing position by a brick conveying platform, and then photographing and identifying by a truss clamping jaw; the truss clamping jaw moves to a refractory brick grabbing position for grabbing, and meanwhile, the mechanical arm with the slurry pipe is used for spraying slurry; and after the movable truss moves to the refractory brick placement position, accurate placement is identified. In the virtual-real cooperative control process, the virtual entity model is updated in real time through state information acquired by a sensor of a real system; making and optimizing a control strategy in the virtual environment; and real-time decision making is carried out by utilizing the virtual entity model, so that the operation of the physical entity is adjusted.

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 relates to a method, a device and equipment for constructing a digital twin model of a physical entity system. The method comprises the following steps: receiving physical entity models sent by each computing device in the distributed system and state data of each physical entity model; the physical entity model is a simulation model of a physical entity associated with the computing device; performing fusion processing on each physical entity model and the corresponding state data to construct a digital twin model of the physical entity system; the physical entity system comprises physical entities associated with all computing devices. By adopting the method, fusion processing can be performed on each physical entity model and the corresponding state data in a centralized manner through the cloud equipment, so that the digital twin model of the physical entity system can be accurately and efficiently fused and constructed, and the problem of difficulty in constructing a plurality of physical entities in related technologies can be 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 physical collision monitoring and feedback method and device based on a digital twin engine and a storage medium, and relates to the technical field of data processing, and the method comprises the steps: carrying out the preliminary collision detection of a model physical entity in a digital twin model based on a to-be-detected physical entity, and determining a preliminary collision object; traversing the hierarchical tree of the hybrid hierarchical bounding box of the preliminary collision object in the digital twin model, checking whether each node is intersected with the bounding box of the physical entity to be detected layer by layer, and determining leaf nodes of the intersected hierarchical tree of the hybrid hierarchical bounding box; for leaf nodes intersecting with the bounding box of the physical entity to be detected, determining a collision detection result through geometric calculation, and synchronizing the collision detection result to the digital twinborn model in real time; and feeding back the collision detection result to a control system of the to-be-detected physical entity so as to adjust the running state of the to-be-detected physical entity. The technical effect of improving the instantaneity of collision monitoring and feedback is achieved.

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 hot updating and hot loading method for a digital twin development management platform, and aims to solve the problems that in the prior art, it is difficult to quickly respond to data changes, it is difficult to ensure that a model can reflect the state of a physical entity in real time, and it is difficult to ensure the consistency and real-time performance of data in the collecting, transmitting and processing processes. The method comprises the following steps: in response to a platform hot update instruction, analyzing content needing to be updated and a corresponding hot patch; and updating a platform configuration file, a platform asset file and a project and scene file, and after updating is completed, loading the new project and scene file into the digital twin development management platform to ensure that the platform loads the latest settings, projects and scenes. According to the method, the data change is quickly responded under the condition of not interrupting the service, so that the model can reflect the state of the physical entity in real time, and the overall flexibility, reliability and efficiency of the platform are improved.

The invention discloses a BIM (Building Information Modeling)-based hidden project information tracing method, which realizes bidirectional synchronization of a physical entity and a digital model by distributing a unique identifier for a hidden project and binding the unique identifier with a BIM preset path attribute and collecting construction data in real time in combination with the Internet of Things. When the pre-embedded path deviation is detected, the system automatically triggers early warning and generates a correction record, the correction record is updated to the BIM database in real time, and it is ensured that the model data are consistent with the real scene pre-embedded position all the time. Meanwhile, through deep fusion of the live-action three-dimensional model and the BIM, the spatial relation of hidden engineering can be visually presented, construction decision optimization is assisted, the reworking risk is remarkably reduced, the engineering quality and the construction efficiency are improved, reliable data support is provided for building intelligent management, and then the problems that dynamic association is not formed between an existing BIM model and a live-action pre-embedded position, and the construction efficiency is poor are solved. The technical problems that BIM model data records are deviated from actual live-action pre-embedded positions, and pre-embedded full-life-cycle tracing is affected are solved.

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.

An architecture that supports a process control or automation system may include an authentication service that determines whether an entity (e.g., a human entity, an automation entity, a virtual entity, or a physical entity) is a party claimed by the entity, and an authorization service that determines whether to allow the entity to access a request for a resource. The authentication service provides a unique identity of the entity and corresponding security credentials, such as tokens used during authorization. The authorization service authorizes the entity to access the requested resource based on the role-based rights of the role to which the entity is assigned and the resource access rights to protect the requested resource. The role-based rights and / or the resource access rights may be ranked, respectively, to limit or constrain actions, activities, operations, and / or resource access based on specified criteria. Each entity may be authenticated, and each request of the authenticated entity may be authorized.

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 invention discloses a real object in-situ information interaction method based on mixed reality. The method comprises the steps of environment scanning and three-dimensional grid generation; carrying out object lightweight and attribute binding; aligning the spatial anchor points; tracking eye movement to call information; dynamically generating an information panel; and compiling deployment and field interaction. The invention provides an information display method taking a real object as an information entry based on a mixed reality technology. Performing spatial linking and binding on the scanned environment model and a physical entity thereof by using a spatial anchor point technology; an eye movement tracking technology is utilized to carry out visual information query of'what is seen is what is obtained 'on a real object in situ. According to the method and the system, the problems of tedious operation steps and low efficiency in a traditional information query mode are solved, and the system can display information related to an object in a readable place in real time by staring the specific object by a user. According to the invention, the operation process is simplified, and an intelligent information query tool is provided for each industry.

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 present disclosure provides a multi-energy IDR scheduling method and system based on energy element digital twins, which belongs to the field of energy optimization scheduling technology. The scheme designs digital twin intelligent entities corresponding to typical energy elements of physical entity systems through model mapping and data mapping between digital environment and physical entity system, so as to establish flexible resource twin mapping; and on this basis, conducts subject behavior simulation design including value orientation and social behavior of energy elements in the digital environment, constructs digital twins that can simulate the behavioral characteristics of massive flexible resources, and then completes IDR scheduling, so that the scheduling method can effectively meet user needs, and at the same time, meet low-carbon goals to a certain extent, and reduce scheduling costs.

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 present invention provides an intelligent management construction method and system for hydraulic metal structure equipment based on digital twin. The method includes: constructing a physical space including the physical environment of the water conservancy project and the physical entities of the hydraulic metal structures, and simultaneously constructing an information space including the twin environment of the water conservancy project and the digital twins of the hydraulic metal structures. The physical space and the information space interact through twin data including historical data, online data, and prediction data. By constructing digital twins of the hydraulic metal structure equipment and its operating environment, the present invention can achieve state monitoring, operation and maintenance, and safety assessment throughout the entire life cycle of the hydraulic metal structure equipment. The formed intelligent management system for hydraulic metal structure equipment has the characteristics of being well-organized, digitalized, integrated, and visualized, and can, to a certain extent, reduce the problems of inadequate safety monitoring, incomplete information integration, low resource regulation efficiency, and untimely risk warning during the operation and service of the hydraulic metal structure equipment.

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.