26 results about "Virtual reconstruction" patented technology

Systems that may be used for performing a robotic revision knee arthroplasty are disclosed. Such systems can optionally include a processor that can: intraoperatively receive a plurality of position data obtained by a robotic surgical device after a primary implant has been removed from a bone, the plurality of position data correspond to a plurality of landmarks of the bone of a patient, the plurality of landmarks include a position of an intramedullary canal of the bone; select from a database having a plurality of mean models of a corresponding bone a mean model that comprises a best match based upon the plurality of landmarks of the bone: generate an updated model by altering the mean model to fit an anatomy of the bone of the patient based upon the plurality of landmarks; and output to a user interface the updated model for use during the robotic revision knee arthroplasty.

This invention relates to a knowledge- and data-driven virtual reconstruction method for the relative pose of a hydraulic support. It constructs a digital twin model system of a physical prototype of the hydraulic support, and uses a sensor position planning system to guide the placement of sensors in a physical monitoring system. Sensor data from the physical monitoring system is collected by a data acquisition module and transmitted to a mechanism model and data processing module. After being corrected by a parameter preprocessing module, the data is used as known quantities and transmitted to a relative position calculation module for calculation. The calculation results are dynamically mapped in real-time onto a pose inference system. A pose correction module iterates on the results of the pose inference system, constructing a knowledge- and data-driven reconstruction method. Finally, the pose information of the hydraulic support is displayed in a human-computer interaction system, and an accuracy evaluation system assesses the error of the inferred pose information. The human-computer interaction system is used to monitor the status of all systems.

A method for training an image processing system with a machine learning model to perform a virtual multi-angle reconstruction of image stacks recorded with a light-sheet microscope. The method includes: recording at least one light-sheet fine stack comprising multiple image stacks at different illumination angles; determining target outputs from the fine stack, the model, and a classical multi-angle reconstruction; determining learning inputs from a light-sheet coarse stack comprising one or more image stacks at different illumination angles using the model and the classical reconstruction; creating an annotated dataset of the target outputs and learning inputs; and optimizing the model for the virtual multi-angle reconstruction based on the dataset. The light-sheet coarse stack has fewer images than the fine stack, and a virtual reconstruction produced by the trained model exhibits fewer image artifacts than a reconstructed image stack computed from the same coarse stack by the classical multi-angle reconstruction.

The invention relates to the technical field of mobile communication and antennas, in particular to a stripline medium phase shifting system for a base station antenna, which comprises a data acquisition step of acquiring vector network parameter flow and mechanical displacement feedback data of a phase shifter; a virtual reconstruction step: constructing a lossless ideal transmission line model, and generating a theoretical defect-containing S parameter based on an air gap perturbation equivalent model; a double-track difference step: calculating a theoretical residual feature vector and a real residual feature vector; a coupling verification step: calculating topological similarity, and generating a fault attribution result and a production control instruction according to the similarity; according to the invention, through difference comparison of physical measurement and virtual reconstruction, the bottleneck of traditional threshold determination is broken through, the physical cause of the fault can be intelligently identified, the fault diagnosis resolution is significantly improved, and the production cost is reduced.

This invention discloses a comprehensive testing system for an electric bicycle controller, belonging to the fields of power electronics and motor control technology. The system includes the following steps: performing an electrical self-test to verify the validity of the basic operating state; after passing the self-test, acquiring a preset automated test sequence to control and simulate various test conditions for the controller under test; while running the automated test sequence, constructing a virtual motor operating environment on the rotorless stator coils, and performing virtual reconstruction and dynamic compensation algorithms; wherein, the dynamic compensation algorithm includes the generation and injection of virtual back EMF, real-time compensation of nonlinear inductance, and electromechanical coupling dynamic reconstruction; this system integrates virtual back EMF injection technology in the test board, by calculating and compensating the instantaneous value of the back EMF corresponding to the simulated rotational speed in real time in the digital domain, embedding key speed and position information into the feedback loop of the controller under test.

The invention belongs to the technical field of coal mine safety monitoring, and provides a coal mine underground explosion-proof electrical equipment state monitoring system, which comprises a monitoring acquisition module, a period adjustment module, a confidence evaluation and virtual reconstruction module and a state evaluation module, and is provided with an integrated monitoring network comprising a main sensor group and a microenvironment sensor group, the method comprises the following steps: acquiring equipment state data and environment state data of explosion-proof electrical equipment, setting a credibility evaluation period, dynamically adjusting the period duration based on the environment state data, setting a credibility evaluation model, performing periodic credibility evaluation based on the acquired equipment state data, calculating a data credibility factor for each sensor in a main sensor group, and performing credibility evaluation on each sensor in the main sensor group. And judging whether a failure mark is added to the sensor or not, if so, performing virtual reconstruction on the equipment state data of the sensor, and performing quantitative calculation based on the collected or virtually reconstructed equipment state data and the corresponding credibility factor to obtain a high-confidence state parameter to perform state evaluation on the explosion-proof electrical equipment.

This invention discloses an integrated monitoring system for the coordinated control of protective atmosphere and dew point in a heating furnace, belonging to the field of metal processing and intelligent manufacturing technology. It includes a data acquisition module, an alignment processing module, an analytical extraction module, a flow field reconstruction module, an identification and positioning module, a state fusion module, a virtual reconstruction module, an evaluation and judgment module, an exploration and decision-making module, an instruction generation module, and a feedback optimization module. This invention can dynamically reflect the velocity distribution and turbulence changes, thus overcoming the limitations of traditional single-point measurements in obtaining spatial distribution information. It improves the accuracy and response speed of fault detection, enhances the safety of system operation, effectively ensures the continuity and reliability of key control variables, avoids control interruptions due to sensor failure, and achieves a coordinated control effect with no overshoot, fast response, and strong robustness.

A method for virtual interaction between a host user at a first physical location and a guest user at a second physical location is provided. The method includes receiving, by the guest assembly, environmental information relating to a host environment in the first physical location; displaying, a 3D virtual reconstruction of the host environment at the second physical location using the environmental information; and displaying a virtual avatar of the host user within the 3D virtual reconstruction. A guest user can enter a predefined area of the second physical location to be virtually transported to the host environment. The method further provides for virtual reconstruction of surfaces of the host environment and applying textures to those surfaces. A corresponding system and non-transitory computer readable medium are also described.

The present disclosure provides a method of facilitating streaming of events. Further, the method include receiving one or more sensor data. Further, the one or more sensors may be configured for generating the one or more sensor data by capturing one or more events. Further, the method include analyzing the one or more sensor data, generating one or more event representation data representing a virtual reconstruction of the one or more events based on the analyzing, processing the one or more event representation data, generating one or more streamable data for streaming the one or more events based on the processing, storing the one or more streamable data, and transmitting the one or more streamable data to one or more client devices.

The application provides a deep-water gravity flow sedimentary facies combined identification method and system, and the method comprises the following steps: 1) obtaining and aligning absolute depth of multi-source heterogeneous data; 2) constructing a double-branch feature extraction network to perform independent feature dimension reduction; 3) coupling features based on a cross-modal cross-attention mechanism; and 4) rock facies classification and discrimination and virtual reconstruction of a coreless well section. The system comprises a multi-source data access and verification module, a dynamic depth alignment module, a cross-modal feature calculation and discrimination module and a virtual reconstruction and three-dimensional visualization output module. The application breaks the isolated situation of “logging calculation logging and image image”, so that the one-dimensional physical properties of logging and the two-dimensional structural features of image can guide and cross-verify each other in a hidden space, solves the industry problem that the accuracy of deep-water gravity flow facies identification is encountered, and solves the problems of high-precision rock facies analysis and visualization of a coreless well section.

The application belongs to the technical field of virtual reality and cultural heritage protection, in particular to a cultural heritage virtual reconstruction display system based on a meta universe, which comprises a data acquisition module, a virtual modeling module, a meta universe engine module, an immersive display module, a blockchain authentication module and a user behavior analysis module; the scheme combines a new method of multi-source data acquisition and deep learning repair, uses a laser scanner, a drone and a high-definition camera to collect high-precision data of cultural heritage from multiple angles, and adopts an enhanced U-Net network to accurately position and preliminarily restore irregular damaged areas in the image, thereby enhancing the learning and expression ability of the network to complex visual features; the scheme introduces an edge-guided diffusion model, uses edge information as prior guidance, finely repairs the damaged areas in the cultural heritage, and realizes higher-quality digital repair and protection of the cultural heritage image.

The application discloses a wind farm three-dimensional digital twin visualization operation method and system, relates to the technical field of wind farm operation and maintenance management, and comprises the following steps: performing fusion processing on wind farm multi-source heterogeneous data to obtain fusion data of a unified space-time reference; performing three-dimensional virtual reconstruction based on the fusion data to generate a dynamic three-dimensional scene containing physical responses; injecting real-time running data flow into the scene to drive synchronous updating of three-dimensional virtual entities; evaluating the operation efficiency of wind turbine generators in the three-dimensional scene to obtain a unit health index; and generating a visualization operation auxiliary decision scheme according to the health index and a preset operation and maintenance strategy. Through the above method, the application realizes deep fusion and bidirectional interaction of wind farm physical entities and virtual models, improves the intuitiveness, accuracy and intelligent level of operation and maintenance management, and provides decision support for safe and efficient operation of the wind farm.

The invention relates to the technical field of three-dimensional reconstruction and intelligent analysis of medical images, and particularly discloses a thoracic surgery preoperative virtual reconstruction system, which is characterized in that voxels are used as nodes to construct a space graph structure, and a respiratory movement displacement track is introduced as a dynamic attribute; static structure features and dynamic motion features are extracted and fused, and context feature vectors rich in dissection and function information are generated; in the serialized topological constraint segmentation module, graph nodes are sorted according to topological geodesic distance and feature saliency, and hierarchical segmentation from the trunk to the tip is realized in combination with an anatomical topological constraint and sequence prediction model based on a rule base; connectivity test, fracture repair and geometric rationality verification are carried out, and a precise and error-free high-quality preoperative virtual reconstruction three-dimensional model conforming to anatomical laws is output.

The application relates to the technical field of electric power operation and maintenance, and discloses a cable external damage detection method and system. The method comprises the following steps: collecting first vibration data of a cable through a first vibration sensor arranged on a first edge computing terminal; if the vibration amplitude of the first vibration data exceeds a preset amplitude threshold, a virtual reconstruction signal is generated; the virtual reconstruction signal is sent to a second edge computing terminal to trigger the second edge computing terminal to extract second vibration data of the cable; after the second vibration data is received, virtual reconstruction is performed based on the vibration data of the two, and respective corresponding reconstructed vibration data is obtained; preliminary detection is performed on the two, and a first cable external damage detection result is obtained; if the detection result is a valid event, the first reconstructed vibration data is input into a preset cable external damage detection model, and a second cable external damage detection result is output. The application improves the identification accuracy and response real-time performance of cable external damage, and guarantees the working efficiency and long-term stable operation of a cable external damage early warning system.

Embodiments of extended reality (XR) methods and systems for processing vehicle-related insurance claims are disclosed. In one embodiment, a computer-implemented method may include: (i) obtaining, using one or more XR devices, first data representing insured party XR preferences, and second data related to a damage-causing event for a vehicle; (ii) creating, using one or more processors and based upon the second data, a virtual reconstruction of the damage-causing event; and / or (iii) presenting, in a virtualized environment in accordance with the XR preferences via an XR device, the virtual reconstruction such that the insured party or an insurance representative may view, alter, and / or approve the virtual reconstruction.

A method for virtual interaction between a host user at a first physical location and a guest user at a second physical location is provided. The method includes receiving, by the guest assembly, environmental information relating to a host environment in the first physical location; displaying, a 3D virtual reconstruction of the host environment at the second physical location using the environmental information; and displaying a virtual avatar of the host user within the 3D virtual reconstruction. A guest user can enter a predefined area of the second physical location to be virtually transported to the host environment. The method further provides for virtual reconstruction of surfaces of the host environment and applying textures to those surfaces. A corresponding system and non-transitory computer readable medium are also described.

The present application relates to the technical field of three-dimensional reconstruction and intelligent analysis of medical images, and specifically discloses a preoperative virtual reconstruction system for thoracic surgery, which constructs a spatial graph structure with voxels as nodes and introduces respiratory motion displacement trajectories as dynamic attributes; extracts and fuses static structural features and dynamic motion features to generate context feature vectors rich in anatomical and functional information; in a serialized topological constraint segmentation module, the graph nodes are sorted according to topological geodetic distance and feature saliency, and hierarchical segmentation from trunk to periphery is realized by combining anatomical topological constraints based on a rule base and a sequence prediction model; connectivity test, fracture repair and geometric reasonableness verification are performed to output a high-quality preoperative virtual reconstruction three-dimensional model that is accurate, error-free and consistent with anatomical rules.

This application provides an environmental perception navigation method and system based on tactile paving segmentation detection and virtual reconstruction, solving the technical problems of existing guide systems such as single-dimensional environmental perception, weak adaptability to tactile paving obstruction and breakage scenarios, and lack of three-dimensional accessibility assessment. The method includes the following steps: achieving multi-dimensional environmental perception through binocular cameras, accelerometers, gyroscopes, and GPS; extracting features through a shared shallow convolutional network after image preprocessing; detecting obstacles using an improved YOLOv11 model; segmenting tactile paving and handling obstructed areas using a GRFB-UNet model; virtually reconstructing broken sections of tactile paving and assessing accessibility using three-dimensional point clouds; and finally fusing multi-source data to achieve voice navigation and path replanning in emergency situations, with iterative monitoring and updates. This invention can be widely applied to ensure safe travel for visually impaired individuals.

The present application belongs to the technical field of real-time monitoring system, and particularly relates to a real-time monitoring system for a coal mine intelligent comprehensive management and control platform, comprising a sensor health management module, which is used for identifying whether a sensor is abnormal by dynamic baseline modeling and multi-source data checking on monitoring parameters, and triggering a closed-loop self-calibration process when an abnormality is identified, and triggering a data fusion and compensation module when the closed-loop self-calibration process is verified as invalid; the data fusion and compensation module is connected to the sensor health management module; a system fault tolerance and reconstruction module is connected to the data fusion and compensation module. The three-level progressive fault tolerance architecture formed by the sensor health management module, the data fusion and compensation module and the system fault tolerance and reconstruction module realizes self-calibration, data fusion and virtual reconstruction, and ensures that the system can maintain uninterrupted monitoring functions at different stages from abnormality to complete failure of the sensor.

The application discloses a kind of meta-universe digital twin construction method and system supporting real-time interaction, belong to computer technology field.The method includes: through the original data stream of multiple sensors deployed in physical entity acquisition;In edge side, semantic event is identified based on kinematics parameter calculation and multi-condition joint determination, and key parameter is extracted to generate lightweight semantic instruction package;After instruction package is transmitted to cloud, corresponding virtual model in parameterization model library is executed according to its driving parameter, and the hierarchical relationship of associated object is updated to realize visual follow-up;Motion interpolation and smoothing processing are carried out between instructions based on physical constraint prediction algorithm, and forward prediction is carried out using timestamp to compensate network delay.The system includes multi-source data acquisition, edge semantic extraction, instruction transmission, virtual reconstruction and physical calibration and other modules.The application reduces data transmission load, improves the real-time performance and motion fluency of virtual-real synchronization, and enhances the adaptive ability and interaction security of system.

The invention discloses an AI live broadcast and intelligent new retail linkage system, and relates to the technical field of AI live broadcast and new retail linkage, and the system comprises a content perception module which collects a live broadcast room video stream in real time, extracts explanation audio-to-text, synchronously recognizes a commodity entity in a video, and forms commodity explanation data containing the explanation text and the commodity entity; the knowledge alignment module matches the serial numbers of the commodity entities and the standard information, and establishes an alignment relationship between explanation characters and serial number time to form a time sequence knowledge unit; the hotspot recognition module analyzes the change trend of the attention degree in combination with real-time comments, and recognizes hot commodities exceeding a threshold value; and the scene reconstruction module extracts a scene background and an anchor action when the hot commodity is displayed, and generates an associated virtual display environment. According to the method, synchronous association of explanation and commodity entities, time sequence popularity analysis and real scene virtual reconstruction are realized, and the accuracy and immersion of linkage of live broadcast and new retail are improved.

Embodiments of extended reality (XR) methods and systems for processing vehicle-related insurance claims are disclosed. In one embodiment, a computer-implemented method may include: (i) obtaining, using one or more XR devices, first data representing insured party XR preferences, and second data related to a damage-causing event for a vehicle; (ii) creating, using one or more processors and based upon the second data, a virtual reconstruction of the damage-causing event; and / or (iii) presenting, in a virtualized environment in accordance with the XR preferences via an XR device, the virtual reconstruction such that the insured party or an insurance representative may view, alter, and / or approve the virtual reconstruction.

The application discloses a kind of sensitivity parameter adaptive optimization method and system of touch color film, it is related to touch display relevant technical field, method includes: according to the function partition of touch color film, two-stage virtual reconstruction is carried out to touch integrated circuit, generates virtual touch circuit;Receive and interpret touch operation of touch capacitance structure, determine touch charge information, assist virtual controller, execute color film false touch determination and layer stage response decision based on virtual touch circuit, determine touch response information;According to touch response information, drive response is carried out to touch integrated circuit, and the response management of touch color film is executed.Solve the technical problems that exist in prior art, such as the sensitivity parameter of touch color film cannot adapt to complex environment and user operation difference, it is difficult to accurately distinguish normal touch and false touch behavior, different function partitions cannot realize differentiated accurate response, reach the technical effect of improving touch sensitivity adaptive ability, response efficiency and accuracy and reducing false touch rate.

Method for training an image processing system with a machine learning model to perform a virtual multi-angle reconstruction of image stacks acquired with a light-sheet microscope, in particular of a sample of a sample type, comprising: - Taking at least one light sheet fine stack of a sample, wherein the light sheet fine stack comprises several image stacks and for different of the image stacks a light sheet illuminates the sample at a different angle, - Determining target outputs based on the light-sheet fine stack, the machine learning model, and a classical multi-angle reconstruction, - Determining training inputs based on a rough stack of light sheets, the machine learning model, and classical multi-angle reconstruction, where the rough stack of light sheets comprises one or more image stacks, and for different image stacks, the light sheet illuminates the sample at various angles. - Creating an annotated dataset encompassing the target outputs and learning inputs, - Optimizing the machine learning model to perform the virtual multi-angle reconstruction using the annotated dataset, characterized in that - the rough stack of light sheets contains fewer images than the fine stack of light sheets, in particular fewer image stacks, and a virtual reconstruction determined by means of virtual multi-angle reconstruction has fewer image artifacts than a reconstructed image stack determined by means of classical multi-angle reconstruction from the rough stack of light sheets.

The application relates to the technical field of petroleum drilling engineering, and particularly discloses a petroleum drilling and production data analysis and prediction system, which realizes virtual reconstruction of a physical drilling system by constructing a digital mapping body, adopts a multi-source sensor network to collect drill string vortex frequency and wellbore temperature field gradient data, and forms a time sequence feature set through time sequence alignment and fusion processing; through differential transformation and modal decomposition on the feature set, a transient response characteristic vector is extracted and a risk distribution map is generated; a parameter-risk correlation model is established, mechanical vibration and thermal stress interference are decoupled by solving a physical equation, and a dynamic risk index is obtained; the risk index and process parameters are mapped to a three-dimensional grid to construct a multi-dimensional feature space, information aggregation and reconstruction are realized by adopting a feature fusion grid, and a comprehensive risk assessment index is generated; a dynamic early warning threshold is established according to the assessment index, and drilling parameters are optimized in real time through closed-loop control.

This application relates to a method, apparatus, device, and medium for automatically stitching together images of ancient ceramic fragments. The method includes: constructing a knowledge graph of ancient ceramic archaeological typology; extracting the geometric and apparent feature vectors of each fragment from received images of ancient ceramic fragments; querying corresponding entity nodes and attributes in the knowledge graph; generating a set of candidate matching pairs based on preset archaeological logic rules; calculating the matching degree score for each pair of candidate fragments in the candidate matching pair set; constructing a global stitching graph based on the matching degree score and a preset score threshold, and performing constraint optimization; and generating a three-dimensional virtual reconstruction model of the ancient ceramic based on the optimal connected subgraph obtained from the solution. This method ensures that the reconstruction results not only match precisely geometrically but also maintain a high degree of logical consistency in archaeological dimensions such as vessel shape, kiln date, and decorative style, significantly improving the accuracy, reliability, and overall processing efficiency of automatic stitching together of ancient ceramic fragments.