53 results about "Virtual reconstruction" patented technology

The invention provides a CT guided liver puncture training method and system based on virtual reality, and relates to the technical field of virtual reality. A deformable liver model and a virtual CT reconstruction engine under respiration driving are constructed, needle body posture mapping and image fusion display are achieved by fusing an inertia-electromagnetic dual-mode sensor, path interaction control, tissue dynamic response and score feedback are supported, the scene difficulty is automatically adjusted based on a training result, and the accuracy and the reliability of the system are improved. Progressive puncture skill training of static breath-holding, shallow breath and free breath scenes is achieved, the sense of reality of training, operation feedback and teaching efficiency are improved, and the system is suitable for development and clinical teaching application of an interventional therapy training system under the guidance of medical images.

The invention discloses a fully-mechanized coal mining equipment group sensing-control integrated twinning device and method, and relates to the technical field of coal mine intelligent mining digital twinning. The method comprises a sensing information driving mode, a physical instruction driving mode and a dual-driving mode. When the sensing information driving mode lacks physical instruction information, real-time sensing data of the hydraulic support are collected, sensing-control integration is achieved, and the shape is consistent; the physical instruction driving mode is used for speculating a current posture through a speed parameter training model and an optimal force training model when sensing information is lost, so that virtual-real synchronization is realized; and the dual-drive mode is used for realizing real-time consistent action and regulation of the virtual monitoring model and the virtual control model according to an adaptive control strategy when the physical instruction transmission path and the sensing information transmission path are both intact. According to the method, high-fidelity actions of the virtual control model and the virtual monitoring model can be driven through the physical entity, and virtual reconstruction of the working space is completed in the virtual space.

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 relates to the technical field of visual management, in particular to a visual management method and system for a plastic product production line and a medium. The method comprises the following steps of scanning spectral characteristics of raw materials, analyzing the spectral characteristics to generate multi-dimensional characteristics, performing thermal stability evaluation, constructing a raw material topological unit, acquiring environment data of a production line to construct a virtual environment field, performing virtual reconstruction on the raw material topological unit, generating a visual production line, and displaying the visual production line. Further obtaining historical production records, performing thermal topology tracking, constructing a production line temperature change field, performing material heating simulation based on the field and a raw material topological unit, recording a heating response behavior, combining with calculation to obtain a heat influence coefficient, and finally performing defect development prediction according to the heat influence coefficient and the temperature field. And visual warning in advance is realized, so that the production efficiency and the quality management are improved. The visual management method for the plastic product production line is more efficient and more stable.

The invention discloses a method for determining brain PET standardized reconstruction parameters based on clinical brain MRI and PET data, and relates to the field of medical image processing. The method comprises the following steps: firstly, collecting clinically paired MRI (Magnetic Resonance Imaging) and PET (Positron Emission Tomography) images for preprocessing, carrying out virtual reconstruction by combining a partial volume correction algorithm and system parameters of equipment to estimate'real 'brain activity distribution so as to obtain a first simulated PET image, and calculating difference or similarity between the first simulated PET image and a clinical PET image; through multiple iterations, obtaining an optimal'real 'brain activity distribution diagram, and processing the optimal'real' brain activity distribution diagram into a'standardized PET image 'according to standardized Gaussian filtering; then, constructing different candidate combinations of reconstruction parameters, inputting an optimal'real 'brain activity distribution diagram, traversing a second simulated PET image generated by simulation reconstruction under each combination, and respectively performing difference or similarity calculation with the'standardized PET image', so as to obtain an optimal'real 'brain activity distribution diagram; and selecting the group of candidate reconstruction parameters with the minimum difference or the highest similarity as final standardized reconstruction parameters. The method gets rid of dependence on a physical motif.

A system for detecting a vehicular collision (i) receives occupant data from at least one internal sensor; (ii) receives external data from at least one external sensor; (iii) determines positional information for at least one occupant of a vehicle; and (iv) generates a virtual reconstruction of the vehicle collision. The virtual reconstruction indicates a severity of vehicle damage and a severity of injury to the at least one occupant caused by the vehicle collision. The system may also utilized vehicle occupant positional data, and internal and external sensor data to detect potential imminent vehicle collisions, take corrective actions, automatically engage autonomous or semi-autonomous vehicle systems, and / or perform at least one action to reduce a severity of a potential injury.

The invention discloses an artificial intelligence-driven VR cultural heritage digital display system, and relates to the technical field of digital display, three-dimensional point cloud data and high-resolution image data are acquired through a three-dimensional scanner and an image acquisition device, a virtual three-dimensional model is generated based on the data, texture mapping is carried out, and the virtual three-dimensional model is displayed. According to the method, the deviation between a virtual model and historical facts is evaluated in combination with historical literatures and archaeological information, physical rationality is evaluated according to illumination, texture and material attributes, historical and physical consistency parameters are comprehensively evaluated, a virtual reconstruction deviation score is generated, virtual reconstruction results are divided into different deviation levels, and a virtual reconstruction result is obtained. The display details are adjusted according to the deviation division result, the system can accurately evaluate the deviation of virtual reconstruction, the accuracy of virtual display is optimized, the authenticity, immersion and education and entertainment value of virtual display of cultural heritage are effectively improved, and the system is suitable for popularization and application. Therefore, the problems of historical authenticity and immersion in virtual cultural heritage reconstruction in the prior art are solved.

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.

A system and method for generating simulations of a vehicular accidents and detecting inconsistencies between different sources of data for the accidents are disclosed. The system obtains reports and other data describing the accident and processes the information for use by a keyword model. The keyword model is configured to detect terms in the data that are more likely to provide insight into the accident. The keywords are provided to a generative engine that is configured to generate a simulation of the accident based on visual elements corresponding to the keywords. In some cases, the simulation may include an animated video and / or a 3D model of the accident. Individual simulations may be generated for each source of data obtained. The simulations can then be compared to detect potential inconsistencies.

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.

To provide an information generation system, an information generation method, and a program that can reflect a change in situation along with the lapse of time in a target space to an automatically generated scenario, and thereby improve the accuracy of generating the scenario.SOLUTION: An information generation system comprises: a simulation processing unit that, on the basis of first event information indicating a time-series change of a first event in a target real space, reproduces the first event in a virtual space that virtually reproduces the real space, and records a second event that is generated along with the time-series change of the first event in the virtual space; and a scenario generation unit that, on the basis of second event information indicating the second event, generates scenario information indicating a scenario for a user to cope with the second event that is generated in the first event.SELECTED DRAWING: Figure 1

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 invention relates to the technical field of digital cultural relic protection and restoration, and discloses a cultural relic digital modeling and virtual reconstruction method based on a three-dimensional Gaussian sputtering technology, and the method comprises the following steps: S1, obtaining a multi-angle image sequence of a cultural relic object, and carrying out the preprocessing of the multi-angle image sequence; s2, performing feature extraction on the preprocessed image, and constructing sparse point cloud and camera parameters; s3, based on the sparse point cloud and camera parameters, iteratively optimizing attributes of Gaussian points to generate a Gaussian point cloud model; and S4, trimming the Gaussian point cloud model, and exporting a renderable model file. According to the cultural relic digital modeling and virtual reconstruction method and system based on the three-dimensional Gaussian sputtering technology, the Gaussian point cloud model is generated through the Gaussian sputtering training step, the geometry and texture of the cultural relic are expressed through the Gaussian point set, each Gaussian point contains the attributes such as the position and the color, triangular meshes are not needed, data redundancy is reduced, the information density is improved, and the real-time performance of the cultural relic is improved. The problem that the expression efficiency of the irregular triangular mesh is low is solved.

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.