38 results about "Virtual reconstruction" patented technology

The invention relates to the technical field of petroleum drilling engineering, and particularly discloses an analysis and prediction system based on petroleum drilling and production data, which realizes virtual reconstruction of a physical drilling system by constructing a digital mapping body, and adopts a multi-source sensor network to collect drill string vortex frequency and wellbore temperature field gradient data. Forming a time sequence feature set through time sequence alignment and fusion processing; performing differential transformation and modal decomposition on the feature set to extract transient response feature vectors and generate a risk distribution diagram; establishing a parameter-risk correlation model, and decoupling mechanical vibration and thermal stress interference by solving a physical equation to obtain a dynamic risk index; the risk indexes and the process parameters are mapped to a three-dimensional grid to construct a multi-dimensional feature space, a feature fusion grid is adopted to achieve information aggregation and reconstruction, and comprehensive risk assessment indexes are generated; a dynamic early warning threshold value is established according to the evaluation indexes, and drilling parameters are optimized in real time through closed-loop control.

The invention provides a historic building heritage colored drawing layer AR visual analysis method and system. The method comprises the steps that correlation analysis is conducted through a multi-dimensional mapping method according to feature vectors of colored drawing colors, texture details and historical information obtained through separation, and a fusion relation matrix between attributes is obtained; according to the fusion relation matrix, a virtual reconstruction algorithm is utilized to carry out spatial recombination on colored drawing colors, texture details and historical information, and a three-dimensional virtual colored drawing model is generated; for the generated three-dimensional virtual colored drawing model, performing change simulation on color and texture details in a time dimension through a dynamic rendering technology to obtain a dynamic presentation effect; according to the dynamic presentation effect, a user control interface is embedded in the interaction environment, a switching function is set for different historical information nodes, and an interactive virtual display framework is determined; according to the corrected virtual model, dynamic rendering and interaction environment configuration are executed again, and a final visual visualization result is obtained.

The invention relates to the technical field of electronic digital data processing, and particularly discloses an immersive exhibition hall dynamic scene generation method and system based on real-time rendering, and the method comprises the steps: firstly collecting point cloud, depth, texture and other multi-source perception data in an exhibition hall space, constructing a unified reference coordinate system, dividing the exhibition hall into initial rendering space units, and carrying out the initial rendering of the initial rendering space units; the data source coverage degree is evaluated to ensure that the spatial information is complete; then multi-source data fusion is carried out, fusion process parameters are monitored through cross comparison, and the result accuracy is judged, so that errors caused by single data source deviation are reduced, and the modeling precision is improved. When the result is inaccurate, the fusion process is adjusted by the method, and reliable output is ensured; when the result is accurate, classification processing is carried out, a three-dimensional modeling data set is generated, real-time rendering is driven, and a dynamic scene of the immersive exhibition hall is achieved. According to the method, the fineness and immersion of virtual reconstruction are improved, data fluctuation can be dynamically adapted, and the robustness and real-time performance of the system are enhanced.

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.

A computer-implemented method and system for dental bridge reconstructions include receiving an order for a plurality of single dental units for reconstruction, receiving a 3D virtual model of each jaw of a patient's dentition, and providing virtual reconstructions of the plurality of single dental units as part of a virtual dental bridge.

The application discloses a working face whole working space virtual reconstruction method based on laser SLAM, comprising the steps of establishing a physical point cloud space, a virtual point cloud space and a virtual-real fusion channel. The physical point cloud space is used for collecting physical point cloud data through a laser radar installed on a coal mining machine and calculating pose information of the fully-mechanized mining equipment, so that the fully-mechanized mining equipment in the virtual point cloud module is reconstructed; the virtual point cloud space is used for establishing a digital twin of the fully-mechanized mining equipment and the laser radar and acquiring virtual point cloud of a hydraulic support; the virtual-real fusion channel is used for registering the physical point cloud and the virtual point cloud of the support, calculating a running track of the coal mining machine, constructing the running track into a space model, performing similarity analysis on the space model, planning the running track, and updating the running track by using real-time information.

The invention discloses a self-adaptive optimization method and system for sensitivity parameters of a touch color film, and relates to the technical field related to touch display, and the method comprises the steps: carrying out the two-order virtual reconstruction of a touch integrated circuit according to the function partition of the touch color film, and generating a virtual touch circuit; receiving and interpreting touch control operation of the touch control capacitor structure, determining touch control charge information, assisting the virtual controller, executing color film mistaken touch judgment and layer response decision based on the virtual touch control circuit, and determining touch control response information; according to the touch response information, driving response is conducted on the touch integrated circuit, and response management of the touch color film is executed. The technical problems that in the prior art, a touch color film sensitivity parameter cannot adapt to the difference between a complex environment and user operation, normal touch and mistaken touch behaviors are difficult to accurately distinguish, and different functional partitions cannot achieve differentiated accurate response are solved. The technical effects of improving the touch sensitivity, the adaptive capacity, the response efficiency and the accuracy and reducing the false touch rate are achieved.

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.

This application discloses a layered rendering method and related apparatus for 3D models, relating to the field of 3D virtual reconstruction technology. The method involves loading a target 3D model to be rendered, which includes multiple model vertices and multiple model faces. Each model face is a closed region composed of three adjacent model vertices. The method obtains the model face description information of the target 3D model, including the position of the face normal and the transparency of each model face. The method calculates the rendering level of each model face based on its face normal position and renders according to the rendering level and transparency of each model face. This maintains the layered stacking relationship of semi-transparent faces in the 3D model, optimizes the rendering arrangement of semi-transparent faces in the 3D model, solves the problem of incorrect rendering caused by treating semi-transparent faces as the same level, and improves the appearance and display effect of the model.

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.

The invention discloses a teenager psychological data intelligent management method and system based on AI processing, and relates to the technical field of teenager psychological data intelligent management, and the method comprises the steps: guiding a teenager to record a psychological expression video, and carrying out face virtual reconstruction, voice pseudo transformation and background replacement on the psychological expression video, and removing identity information; constructing a multi-mode psychological state model to output a psychological state level; and in combination with the psychological state level, constructing an expert adaptation matching model, outputting a matching adaptation degree, and pushing intervention information based on the matching adaptation degree. According to the method, through video virtualization processing of privacy protection, in combination with multi-modal fusion of micro-expressions, voice emotions and semantic information, the psychological state level of the teenagers is accurately quantified, and further based on expert ability, load states and dynamic tags, the matching degree is intelligently calculated, so that the psychological state of the teenagers is accurately quantified. High-risk individuals are promoted to be preferentially matched with high-adaptability expert resources, and psychological state recognition accuracy, intervention efficiency and data security 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.

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.

Systems and methods utilize mixed reality technologies to enable remotely located expert surgeons to instruct novice surgeons as if they were together in the same operating room. An example method may involve: (1) displaying, on a virtual reality (VR) display worn by a first person located in a second geographic location, a 3D virtual reconstruction of a patient located in a first geographic location; (2) determining a spatial relationship between a hand gesture performed by the first person and the 3D virtual reconstruction of the patient; and (3) displaying, on an augmented reality (AR) display worn by a second person located in the first geographic location, a 3D avatar of the hand gesture made to appear in a spatial relationship to the surgical subject that mirrors the determined spatial relationship between the hand gesture and the 3D virtual reconstruction of the patient.

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.

A method for predictively reconstructing a physical event using augmented reality, comprising: identifying a relative state of objects located in a physical event area by analyzing video feeds collected from the physical event area before and after a physical event involving at least one of the objects using video analytics, creating a knowledge corpus comprising the video analytics and collected video feeds associated with the physical event and historical information, and obtaining, by a computing device, data of the physical event area, identifying a possible precursor event based on the obtained data and the knowledge corpus, and generating a virtual reconstruction of the physical event using the possible precursor event, displaying, by the computing device, the generated virtual reconstruction of the predicted physical event, wherein the displayed virtual reconstruction of the predicted physical event overlays an image of the physical event area.