36 results about "Volumetric model" patented technology

A method of multimodal scanning may include generating surface scan data of an intraoral structured using structured light. The method may include generating volumetric scan data of an internal structure of the intraoral structure with OCT scanning. The OCT scan data may be aligned with the surface scan data. A three-dimensional volumetric model of the patient's dentition may be generated based on the aligned OCT scan data and the surface scan data.

The present invention relates to diagnostic intraoral scanning and tracking. The present invention relates to methods and apparatus for acquiring, using, and displaying a three-dimensional (3D) volume model of a patient's dental arch. The 3D volume model may include surface information (e.g., color) as well as information about internal structures (e.g., near-infrared (Near-IR) transparency values ​​of internal structures including enamel and dentin).

Approaches presented herein provide database formats for storing large-scale three-dimensional (3D) models for streaming and constructive solid geometry operations. The storage structure may include a Directed Acyclic Graph (DAG), with each root of the DAG uniquely identifying a 3D model. A tree spanning the DAG starting at a root (202) forms a hierarchical representation of that model, including a series of levels of detail (208A-208N) along with associated shards (214). The model may also include nodes (212) with node attributes (416) that may be stored in a column and row structure to facilitate retrieval of individual attributes (416) to enable selective loading of portions of the models.

This invention belongs to the field of petroleum exploration and discloses a quantitative characterization method for structural fracture parameters based on the coupling of the minimum energy consumption and minimum action principle. To overcome the shortcomings of existing technologies in achieving quantitative prediction of structural fractures from qualitative description, this invention first calculates the energy consumption of fracture rupture through rock mechanics experiments; then, it couples the minimum energy consumption principle and the minimum action principle to establish a rock fracture criterion; based on this, it derives and establishes quantitative characterization models for fracture aperture, volumetric density, and linear density; subsequently, it constructs a heterogeneous mechanical parameter volumetric model and performs elastoplastic geostress field simulation; finally, it achieves batch prediction of structural fracture parameters through programming, and verifies the reliability of the prediction results using core, imaging logging, and production dynamic data. This invention, starting from the physical essence of energy distribution and path selection, provides a unified theoretical framework for rock fracture and significantly improves the prediction accuracy of fracture "sweet spots."

The invention relates to the technical field of fluid calculation, and discloses a gas release simulation calculation method, device and equipment for a pressure pipeline, and the method comprises the steps: building a constant flow initial model of the pressure pipeline; setting a gas-liquid two-phase flow initial condition, and calculating a gas-liquid two-phase flow parameter under the initial condition by using a bubble uniform distribution model; establishing a gas-containing gas-liquid two-phase flow finite volume method calculation equation; establishing a gas-liquid two-phase phase change gas release mathematical model, and calculating a gas phase mass change value by using the gas-liquid two-phase phase change gas release mathematical model; presetting a bubble average radius, and iteratively calculating a physical quantity; according to the method, a gas release equation is introduced, the limitation that single-phase flow and gas-liquid two-phase flow do not have low-pressure environment calculation conditions is broken through, the simulation calculation accuracy is improved, a simulation application scene is expanded from a gas-liquid two-phase flow high-pressure environment single-phase flow to a gas-liquid two-phase flow low-pressure environment complex working condition, and the simulation accuracy is improved. And a simulation calculation application scene is added.

This invention discloses an uncertainty-based method for three-dimensional reconstruction and intelligent sampling of underground space, comprising the following steps: Step 1: Constructing a multi-source heterogeneous data acquisition system and performing data preprocessing and spatiotemporal registration; Step 2: Extracting multimodal heterogeneous features and unifying spatial mapping based on deep learning; Step 3: Constructing a high-fidelity three-dimensional reconstruction volumetric model of underground space based on adaptive octree subdivision; Step 4: Constructing a high-fidelity intelligent sampling database containing a Bayesian dynamic update layer; Step 5: Performing uncertainty assessment-driven sampling-assisted decision-making to update the database. This invention solves the problems of insufficient depth of multi-source data fusion, low fidelity due to rigid three-dimensional modeling mesh, and lack of an uncertainty-based active sampling feedback mechanism in the prior art, achieving accurate characterization of complex strata and pollution distribution and intelligent feedback of sampling decisions.

The invention discloses a steam drive steam channeling early warning method and device, a medium and computing equipment. The method comprises the following steps: establishing an instantaneous steam channeling volume model based on a material balance method; establishing an instantaneous steam channeling volume difference based on temperature and pressure changes; establishing a steam channeling volume model of a single injection-production well; establishing a temperature model based on a thermodynamic theory, and improving a temperature function; and a plurality of injection and production well steam channeling volume models are established, and the steam channeling volume is determined. According to the early warning method for steam displacement and steam channeling, quantitative characterization of a steam channeling channel is achieved by improving a temperature function and establishing an injection-production regulation and control model. In addition, according to the method, early warning of steam channeling is achieved by determining the steam channeling volume, reasonable classified treatment countermeasures are formulated, and oil stabilization and water control of the oil field are achieved.

The invention discloses a coal seam hole patching optimization method based on an occupied grid model. The method comprises the steps of obtaining layer-crossing drilling construction data, calculating coordinates of a coal seeing point and a coal discharging point of a drilled hole, generating a coal seam three-dimensional volume model, introducing a binary state function to indicate whether each grid unit is located in a coal seam or not, and completing coal seam modeling optimization. Constructing an extraction coverage ball mathematical model, defining a coverage state function of a grid, establishing a three-dimensional array, calculating a grid center coordinate, judging a grid coverage state, updating the coverage state and outputting a coverage state diagram; initializing a grid map and candidate hole patching positions, circularly executing operations of constructing a coverage ball, calculating the number of candidate point coverage grids and selecting an optimal hole patching position, updating a hole patching set, a coverage state and a coverage rate until the circulation is finished, and outputting a hole patching position set; coal seam space distribution characteristics are precisely restored, and the technical effect of coal seam modeling precision and blank zone positioning precision are improved; and the coal mine production safety and the overall gas extraction effect are improved.

The invention relates to a method for reconstructing a 3D medical image of a region of interest of a patient's body (P) lying on an operating table (200) with an X-ray imaging system comprising a motorized C-arm (100) supporting an X-ray source (101), an X-ray image detector (102) and an anti-collision device (104), comprising: —implementing a first path of the motorized C-arm without acquiring any X-ray image, said first path comprising at least two different angular positions around a rotation axis of the C-arm; —at each angular position of the C-arm along said first path, detecting with the anti-collision device (104) an external surface (S) of the patient's body and recording volumetric data of a patient's body portion enclosing the region of interest; —computing a volumetric model of the patient's body portion based on said volumetric data and on an estimation of X-ray absorption of patient's body tissues surrounding the region of interest, said volumetric model comprising a first part including the region of interest and at least one second part distinct from the first part, the first and second parts presenting different levels of X-ray absorption; —implementing a second path of the motorized C-arm and acquiring a 2D X-ray image at each angular position of the C-arm along said second path; —reconstructing a 3D medical image from the acquired 2D X-ray images, wherein said reconstructing comprises estimating, for each X-ray passing through a voxel of the 3D medical image, a level of X-ray absorption by the patient's body based on the volumetric model of the patient's body portion and adjusting a contribution of said X-ray to each voxel of the 3D medical image based on said estimated level.

This application discloses a machine learning-based method, device, and medium for predicting frequent gout attacks, relating to the field of machine learning technology. The method includes: extracting radiomics features from regions of interest corresponding to DECT images; performing feature selection on the radiomics features to obtain a feature subset; training a pre-defined multi-model group based on the feature subset through multi-model cross-validation until each model converges, thereby determining the radiomics model and the DECT volume model; constructing a clinical prediction model for gout patients based on factor regression analysis according to factors influencing gout attacks; and determining the probability of gout attacks in gout patients through multi-model nomograph validation based on the radiomics model, the DECT volume model, and the clinical prediction model. This application solves the technical problem in existing technologies where gout prediction cannot effectively identify and predict frequent gout attacks using CT images.

The invention relates to the technical field of power electronic devices, in particular to a structure optimization method of an EMI filter and a related device, and the method comprises the steps: obtaining the LC topological series of the EMI filter; constructing a volume model of the X capacitor, a volume model of the common mode choke and performance constraint conditions of the EMI filter; constructing a volume model of the EMI filter according to the LC topological series, the volume model of the X capacitor and the volume model of the common mode choke; the volume model of the EMI filter represents the mapping relation between the volume of the EMI filter and the structural parameters of the EMI filter; under the performance constraint condition, the volume model of the EMI filter is solved with the minimum volume of the EMI filter as the optimization target, and the target structure parameters are obtained, so that in practical application, the EMI filter constructed based on the target structure parameters is minimum in volume and optimal in performance, and the technical problem that an existing EMI filter is large in volume is solved.

A method for three-dimensional (3D) registration of three-dimensional virtual models, performed by a computing device, according to one embodiment of the present disclosure, comprises the steps of: generating a 3D interior digital model of an indoor space using a plurality of datasets collected in the indoor space; generating a 3D exterior digital model of an outdoor space using a plurality of image sets collected in the outdoor space; generating outline-based 3D volumetric models for the 3D interior digital model and the 3D exterior digital model; and performing registration between the 3D interior digital model and the 3D exterior digital model on the basis of external shape matching between a 3D interior volumetric model and a 3D exterior volumetric model.

The present invention discloses a modeling method for an indirect evaporative cooling heat exchanger model based on the Modelica language, comprising: building a mixed medium model of spray water and outdoor dry air; dividing the heat exchanger using the finite volume method, and setting the number of discrete units based on the Modelica language; constructing a conservation equation for a water film in a wet mode, and heat transfer and mass transfer calculation equations for wet air and water film; and building a conservation equation for each discrete unit based on the geometric structure of the heat exchanger, heat exchange fluids on both sides, heat exchange plate materials, and heat transfer and pressure drop correlation equations; and connecting the outlets of each discrete unit using a connect statement in the Modelica language to obtain an indirect evaporative cooling heat exchanger model based on the finite volume method. The indirect evaporative cooling heat exchanger model can reflect the internal hierarchical structure of the finite volume model of the heat exchanger, reduce the complexity of model construction, simplify the complex model, and improve modeling efficiency.

A system for the error-free determination of the ball trajectory and decision validation in cricket, wherein the system comprises the following: a large number of high-speed cameras arranged around a cricket field, the cameras being configured to capture the spatial coordinates of a cricket ball in real time during the throw, travel and impact; a three-dimensional imaging and projection module configured to generate a volumetric model of the batsman, stumps, fold and playing field in real time; a control and processing unit that is operationally coupled with the image cameras and the projection module, wherein the control and processing unit is configured to calculate both a predicted trajectory based on the movement of the ball before impact and a validated trajectory based on the three-dimensional volume model; a trajectory comparison module configured to calculate a discrepancy value between the predicted trajectory and the validated trajectory; and an interface for decision validation that is configured to output a corrected stump impact probability to a referee or review body, thereby eliminating reliance on speculative predictions and enabling error-free decision-making.

Disclosed is a method for encoding 3D volumetric data to estimate pose and shape data from 3D volumetric data, generate a 3D estimation model by applying the estimated data to a 3D template model, and encode residual data of the 3D volumetric data together with the 3D estimation model, and the method includes: (a) receiving 3D volumetric data; (c) estimating a 3D pose from the 3D volumetric data; (d) estimating a 3D shape from the 3D volumetric data; (e) generating a 3D estimation model by modifying a predefined 3D template model; (f) calculating a residual of the 3D volumetric data with respect to the 3D estimation model; and (h) generating the pose estimation data, the shape estimation data and data on the residual as transmission data. Accordingly, an amount of data in the 3D volumetric model is significantly reduced and complexity is reduced.

The invention relates to the technical field of indoor space design, and provides an indoor space layout optimization system based on data analysis, and the system comprises an element data importing module which is used for importing indoor space data and indoor decoration object data, and outputting a matching list of indoor objects; the space element construction module is used for performing simulation construction on the data of the indoor decoration objects and converting the data into space elements suitable for layout division; and the space planning module is used for building and simulating indoor space according to indoor space data, dividing the indoor space, setting areas capable of being arranged and areas not capable of being arranged, and classifying the areas capable of being arranged. According to the method, indoor decoration objects are converted into rectangular space elements, a collision volume model is constructed, digital expression of physical constraints is achieved, layout areas are automatically divided, the elements are rapidly arranged, and landing risks such as object collision and channel blockage are avoided.

Disclosed is a method of simulating an ultrasound scan of tissue in real-time. The method comprises loading a three dimensional deformable soft tissue model of a tissue region for scanning, the deformable soft tissue model being a volumetric model and determining a three dimensional interaction between the deformable soft tissue model and at least one medical tool. The method also comprises modifying the deformable soft tissue model according to the three dimensional interaction and properties of the deformable soft tissue model, the properties including compressible and incompressible regions of the deformable soft tissue model and generating a simulated scan of the tissue in real-time according to a position of an ultrasound probe and the modified soft tissue model.

The embodiment of the invention discloses a metamorphic rock mineral content calculation method and device. The method comprises the following steps: acquiring historical element logging data and mineral content actual measurement data; performing deep matching on the historical element logging data and the mineral content actual measurement data, and constructing a training data set and a verification data set based on a matching result; performing model training on the machine learning model according to the training data set to obtain an initial mineral content prediction model; verifying the initial mineral content prediction model according to the verification data set, and determining a target mineral content prediction model according to a verification result; and obtaining element logging data of a to-be-predicted well, inputting the element logging data of the to-be-predicted well into the target mineral content prediction model for mineral content prediction, and obtaining a mineral content prediction value corresponding to the to-be-predicted well. Therefore, high-precision prediction of the mineral content is achieved, and the problems that a traditional inversion method based on empirical parameters and a volume model is poor in stability, poor in cross-well adaptability and the like are solved.

The invention relates to the technical field of reservoir logging evaluation, in particular to a reservoir water saturation evaluation method based on a volume model, electronic equipment and a storage medium, and the method comprises the following steps: determining shale resistivity, formation water resistivity, reservoir shale content and reservoir porosity; and substituting the shale resistivity, the formation water resistivity, the reservoir shale content and the reservoir porosity into the reservoir volume model response equation to obtain the relative volume of the porosity occupied by the formation water and the relative volume of the porosity occupied by the formation oil, and determining the water saturation of the reservoir.

This invention belongs to the field of mining engineering technology, specifically relating to a dynamic design method and system for backfill strength based on a three-dimensional geological model. The system constructs and converts a three-dimensional geological model into a volumetric model, generating theoretical stress maps using numerical simulation. It then combines real-time monitoring data with dynamic coupling analysis and parameter inversion to correct the model. A dynamic decision-making module for backfill strength calculates the critical strength based on the corrected indicators and generates a mix design scheme. An execution module then issues instructions and performs closed-loop optimization. This application solves the problem that backfill strength design cannot respond in real-time to complex mining-induced stress fluctuations, realizing a shift from static to dynamic precision in strength design. While preventing backfill instability risks and enhancing safety, it significantly reduces support costs and resource waste.

The invention relates to a method for determining a prohibited volume for a surgical robotic system comprising a control unit, a robotic arm (102) and an end-effector (105) adapted to treat a region of interest of a patient's body, comprising:—implementing a first path of a motorized C-arm (403) supporting an X-ray source (401), an X-ray image detector (402) and an anti-collision device (404), said first path comprising at least two different angular positions around a rotation axis of the C-arm;—at each angular position of the C-arm along said first path, detecting with the anti-collision device an external surface of the patient's body and recording volumetric data of at least a portion of said external surface enclosing the region of interest based on measurement data generated by the anti-collision device;—computing a volumetric model of a patient's body portion based on said volumetric data;-sending the volumetric model to the control unit of the surgical robotic system,—based on said volumetric model, defining a prohibited volume (V1, V2, V3) for the robotic arm and end-effector.

A method includes acquiring a first volumetric image data set representing dentition of a patient, the first volumetric image data set including a modeled structure having an artifact distorting a boundary thereof, aligning a 3D digital impression of dentition of the patient with at least a portion of the first volumetric image data set, segmenting individual structures in the first volumetric image data set, merging the segmented individual structures to form a unitary volumetric model, thickening the 3D digital impression to form a shell bounding the at least a portion of the first volumetric image data set and supplementing the boundary of the at least one modeled structure, and, combining the 3D digital impression and the unitary volumetric model into a second volumetric image data set including the unitary volumetric model having at least a portion thereof bounded by the 3D digital impression.

The invention relates to the technical field of mine field geophysical logging interpretation, in particular to a reservoir fluid saturation calculation method. The invention relates to a reservoir fluid saturation calculation method, which comprises the following steps of: establishing an original rock model of unit volume and a volume model of a reservoir flushed by slurry filtrate, and converting into a mathematical model according to the volume occupied by bound water, movable water, movable oil and residual oil in unit volume in combination with the definition of the volume occupied by the bound water, the movable water, the movable oil and the residual oil; a logging curve is introduced as known data, the mathematical model is solved, and the cross section areas of bound water, movable water, movable oil and residual oil in unit volume are obtained; and respectively solving according to the definition formulas of the irreducible water saturation, the movable water saturation, the movable oil saturation and the residual oil saturation. The invention provides a well logging interpretation model for calculating various saturations of reservoir fluid based on a conventional well logging method, and provides technical support for productivity prediction and remaining oil distribution research.

The present teachings relate to methods, systems, media, and implementations of area boundary identification and overlay display. Input associated with a 3D object is received. A 3D volumetric model of a 3D object having a plurality of regions is obtained, each region comprising a plurality of tagged voxels. A mesh representation is generated for a surface of the 3D object. Regional boundaries on the surface of the 3D object are identified based on the 3D volumetric model and the mesh representation. And rendering the 3D object, and covering the rendered 3D object with the region boundary.

The invention provides a shot picture processing method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining the depth information of a current picture in a virtual shooting process; processing is carried out based on the depth information and an image plane model, a virtual volume model is obtained, and the image plane model is preset; determining a focus tracking target in a virtual shooting process, binding the focus tracking target to the virtual volume model, and tracking the focus tracking target; acquiring picture information shot by the shooting camera when the focus tracking target is tracked; and performing depth-of-field processing on the picture information based on the depth information to obtain processed picture information. Therefore, the problem that the whole body of the figure in the virtual picture is too clear is solved, and the fusion feeling of the figure and the virtual background is increased.

Approaches presented herein provide database formats for storing large-scale three-dimensional (3D) models for streaming and constructive solid geometry operations. The storage structure may include a Directed Acyclic Graph (DAG), with each root of the DAG uniquely identifying a 3D model. A tree spanning the DAG starting at a root forms a hierarchical representation of that model, including a series of levels of detail along with associated shards. The model may also include nodes with node attributes that may be stored in a column and row structure to facilitate retrieval of individual attributes to enable selective loading of portions of the models.

Methods and apparatuses for taking, using and displaying three-dimensional (3D) volumetric models of a patient's dental arch. A 3D volumetric model may include surface (e.g., color) information as well as information on internal structure, such as near-infrared (near-IR) transparency values for internal structures including enamel and dentin.

The invention relates to diagnostic intraoral scanning and tracking. A method and apparatus for acquiring, using, and displaying a three-dimensional (3D) volumetric model of a patient's dental arch. The 3D volumetric model may include surface (e.g., color) information and information about the internal structure (e.g., near infrared (near IR) transparency values of the internal structure including enamel and dentin).

A multimodal scanning system may include a scanning wand. The wand may include a probe, a 3D surface scanner configured generate 3D surface data of the intraoral structure, and an OCT scanning system configured generate volumetric scan data. The system may also include a processor and memory comprising instructions that when executed cause the system to perform a method including generating 3D surface scan data of an intraoral structure, generating volumetric scan data of the internal structure with the OCT scanning system, determining a location and orientation of the intraoral scanning wand based on the 3D surface data, generating a three-dimensional volumetric model of a dentition based on the volumetric scan data and the 3D surface scan data, and generating a dental treatment plan based on a three-dimensional volumetric model of the dentition.