157 results about "Three dimensional visualization" patented technology

The application discloses a kind of visual nondestructive flaw detection systems and methods without destroying the integrity of wind power blade, it is related to nondestructive testing field, the system includes: signal excitation module, laser vibration measurement module, scanning execution module, data acquisition module, data processing module, visual display module and system control and communication module.Wherein, scanning execution module is used to drive laser vibration measurement module to move according to scanning track and vibration response signal is collected at each measuring point by synchronously scheduling laser vibration measurement module, and the defect information of blade is identified using data processing module;Using visual display module, the position, type and appearance of defect are presented in three-dimensional visual manner;Using system control and communication module, the automatic flaw detection process of system is realized.The nondestructive flaw detection system of the application has the characteristics of automatic path scanning, synchronous control mechanism and defect three-dimensional visualization, and can realize long-distance, non-contact precision detection.

The application belongs to the field of biological information visualization, and discloses a three-dimensional visualization functional gene browser and system based on Z series closed loop coding, which solves the problems of track disorder, arc winding, dependence on scaling and incomplete coding of existing tools. The application constructs Z series closed loop coding, packs genes and non-gene regions into Z0~ZN units, and adapts repeat sequences and ring chromosomes. L-X-Y three-dimensional coordinates are established, 65 standardized character libraries are constructed, and amino acids are labeled in a six-color degenerate system. Modular labeling is adopted, continuous functional elements are integrated into M modules, three types of background colors are used to classify levels, the trunk area and the independent labeling area are displayed separately, and tracks and arcs are abandoned. The system supports Z unit addressing, three-level interaction, module linkage, variation marking, Hi-C double-end alignment and reverse complementary strand switching, realizes full-link visualization from whole genome to single base, and is suitable for genomics and clinical variation analysis.

The application discloses a closed poor drilling three-dimensional feature intelligent identification system and relates to the technical fields of geological engineering investigation and intelligent identification.The system comprises a multi-source data acquisition module, a data preprocessing module, a multi-source data fusion module, a three-dimensional feature intelligent identification module and a three-dimensional visualization module.The multi-source data acquisition module acquires multi-type original data; the data preprocessing module realizes data standardization; the multi-source data fusion module acquires fusion feature data; the three-dimensional feature intelligent identification module accurately identifies the three-dimensional features such as the spatial position and the morphological parameters of the closed poor drilling; and the three-dimensional visualization module realizes multi-scale visual presentation and interaction of the features.The application improves the identification precision and efficiency through multi-source data fusion, solves the problems of the prior art, such as dependence on a single data source, low identification precision and inability to visually present three-dimensional features, and provides reliable decision-making basis for geological engineering safety guarantee.

The invention discloses a universal plane coordinate system self-adaptive loading method and system for a Cesium framework, and belongs to the field of universal plane coordinate system self-adaptive loading, and the method comprises the following steps: if a coordinate offset or geometric deformation exists between a coordinate system template and actual data through judgment, adjusting parameter values of a scale factor and origin offset through iteration; obtaining a corrected coordinate mapping relation; according to the corrected coordinate mapping relation, performing spatial transformation processing on the input data to obtain standardized coordinate data compatible with the three-dimensional earth platform; carrying out superposition verification on the standardized coordinate data and a data layer loaded by the platform, carrying out secondary detection on possible parameter matching deviation, and determining final loading precision; and updating the coordinate system template library by adopting an automatic identification mechanism. According to the method, the self-adaptive loading capability of the Cesium platform on heterogeneous coordinate system data is remarkably improved, the data loading precision and the space consistency are guaranteed, and efficient and reliable technical support is provided for three-dimensional visualization application.

This application discloses a method, system, device, and computer medium for generating 3D models of urban rail transit, relating to the field of digital twin modeling and 3D visualization technology for urban rail transit. The method involves acquiring diverse and heterogeneous data of urban rail lines, including 2D design drawings and derived data; processing the diverse and heterogeneous data to generate a basic dataset for the urban rail lines; acquiring user-defined configuration data for the urban rail lines; integrating the basic dataset and the user-defined configuration data to obtain a target dataset for the urban rail lines; identifying 3D model elements matching the target dataset for the urban rail lines from a pre-set model library; and rendering the 3D model elements according to the target dataset to generate a 3D model of the urban rail lines. This method ensures that the generated 3D urban rail models meet user needs, provides diversity and flexibility in model construction, improves model scalability, reduces the degree of human intervention, and enhances the efficiency of urban rail modeling.

Methods, apparatus, and processor-readable storage media for generating 3D images using machine learning and generative artificial intelligence are provided herein. An example computer-implemented method includes obtaining at least one 2D image; determining one or more features of the at least one 2D image by processing at least a portion of the at least one 2D image using a first machine learning technique; generating multiple 3D visualizations associated with the at least a portion of the at least one 2D image by processing at least a portion of the one or more features using one or more generative artificial intelligence techniques; selecting at least one of the multiple 3D visualizations by processing at least a portion of the multiple 3D visualizations using a second machine learning technique different from the first machine learning technique; and performing one or more automated actions based on the at least one selected 3D visualization.

This invention provides a dual-hole collaborative electromagnetic wave and laser fusion detection system for karst geological structures, belonging to the fields of precision geotechnical engineering detection and intelligent sensing technology. Based on a probe assembly, this invention heterogeneously fuses the geometric representation of laser point clouds with electromagnetic wave medium inversion data using a unified cylindrical coordinate system. The system quantifies hidden disaster-causing factors by calculating the deep karst development index and cavity volume morphology index; it uses a spatial Euclidean distance difference algorithm to calculate the minimum safe partition wall thickness, accurately locating high-risk sectors of rock wall penetration. Furthermore, the system adjusts the scanning step distance in real time based on the wave velocity gradient and generates an adaptive grouting control strategy. This invention effectively eliminates single detection blind spots, achieves three-dimensional visualization and risk quantification assessment of hidden karst, and improves the safety and scientific decision-making of pile foundation construction in complex geological environments.

The application provides a multi-layer assembly type building prefabricated component hoisting construction method, the method is deeply fused with a special hoisting coordinate system and a BIM model, three-axis high-precision positioning of a lifting hook and accurate mapping of a component coordinate are realized, combined with posture stability, dynamic obstacle avoidance and millimeter-level calibration technology, the problem of cross-floor space interference is solved, hoisting precision and overall efficiency are greatly improved, a three-dimensional multi-dimensional identification system is adopted, identification errors are completely eliminated, automatic identification and time consumption statistics of all process nodes are realized, hoisting sequence early warning and three-dimensional visual progress display are matched, the whole construction process is controllable, and the problems of low coordinate positioning precision, disconnection of multi-platform data and unquantifiable work efficiency in the prior art are solved.

The application discloses a power transmission line point cloud data classification method based on multi-data fusion, which is applied to a point cloud data classification device and comprises the following steps: acquiring point cloud data in a power transmission line area and power transmission line remote sensing images; performing point cloud data classification processing on the point cloud data to obtain a first classification result; performing image area classification processing on the power transmission line remote sensing images to obtain a second classification result; and performing fusion processing on the first classification result and the second classification result to obtain a point cloud data classification result. According to the scheme of the embodiment of the application, in the process of power transmission line construction, the point cloud data classification device can improve the efficiency and precision of point cloud data classification through image fusion, realizes automatic classification of point cloud data, and is favorable for subsequent construction of a power transmission line engineering three-dimensional visualization intelligent system.

This invention discloses a 3D visualization modeling method and system for data center equipment operating status, relating to the field of big data processing technology. The method includes: classifying multi-source heterogeneous data based on metadata features to obtain static and dynamic equipment datasets; 3D reconstructing the static equipment dataset and merging it with the dynamic equipment dataset to construct a hierarchical association model; triggering a linkage response to generate joint audit instructions when the equipment operating status exceeds the security boundary; determining abnormal execution paths and abnormal tracking paths based on the hierarchical association model and joint audit instructions; deducing fault conditions by combining temporal change trends; and dynamically rendering and displaying the equipment status within the abnormality's influence range using a 3D visualization engine-driven hierarchical association model. This achieves deep fusion of multi-source heterogeneous data, 3D visualization of equipment operating status, and intelligent deduction of fault conditions, improving monitoring personnel's ability to perceive equipment anomalies and the efficiency of fault handling.

The invention relates to an ocean internal wave three-dimensional visualization method based on a high-temporal-spatial-resolution unstable flow field, and belongs to the technical field of computer vision and ocean fluid mechanics. According to the method, a GPU texture visualization technology is utilized, an internal wave data processing and feature extraction method is provided for vertical flow characteristics of ocean internal waves, and complex dynamic behaviors of the ocean internal waves in an unstable flow field are accurately displayed by highlighting a vertical velocity component W. Compared with a traditional method, the method has the advantages that the spatial and temporal change of high-resolution internal wave data can be reflected more truly, and the vertical flowing characteristics of ocean internal waves in a three-dimensional space can be clearly visualized. The technology is suitable for influence analysis of marine ecological and physical processes and artificial object motion trails, and helps researchers to deeply understand the influence of internal waves on marine fluid motion.

This invention discloses an unmanned intelligent management and control system for mines. The system includes a data acquisition layer, an edge computing layer, a cloud-based intelligent management and control platform, an execution and control layer, and a human-machine interaction terminal. By constructing a collaborative architecture of cloud, edge, and terminal, it achieves unified acquisition of all mine data, edge preprocessing, and deep cloud-based integration. Based on an intelligent analysis engine and a 3D visualization engine, it forms a comprehensive intelligent management and control capability integrating predictive equipment maintenance, intelligent ventilation control, multi-system emergency linkage, and closed-loop management of safety risks. This invention breaks down the information and control barriers between traditional subsystems, elevating discrete monitoring and alarms to autonomous and collaborative intelligent decision-making and closed-loop control, significantly improving the reliability of mine equipment, production continuity, emergency response speed, and safety level.

The application discloses a kind of sand dust particulate matter three-dimensional visualization forecasting method and related device, belong to atmospheric environment forecast and three-dimensional visualization technical field, method includes: extracting particulate matter concentration data and model height data from atmospheric pollutant concentration forecast model;High-resolution digital elevation model data is obtained and matched with model grid, and real terrain height is obtained;Particulate matter concentration data is interpolated based on real terrain height, generates three-dimensional concentration distribution data and carries out three-dimensional rendering display;According to receptor point position extraction particulate matter concentration data, when exceeding threshold, push risk prompt information.The application improves the real sense and interactivity of particulate matter concentration spatial distribution by fusing high-precision terrain data and three-dimensional visualization technology, and realizes the closed loop from visualization display to business early warning by combining with automatic risk early warning, improves the response timeliness of sand weather environment management.

The present application relates to the technical field of deep foundation pit engineering construction monitoring, in particular to a kind of wharf tippler room deep foundation pit supporting structure construction monitoring deformation simulation method and system;The method is first based on construction mode, geological characteristics and other key causes, divides deformation mode and constructs the deformation mode library of working condition full coverage;After pre-processing construction monitoring data, combined with modal library data, construct deformation mode combination weight optimization model, convert into linear programming model to obtain combination weight;Based on weight calculation supporting structure control point position three-dimensional deformation value and deformation coordinate, generate the overall deformation three-dimensional model using B-spline method, and update the model in real time through dynamic monitoring data.The present application breaks through the limitation of limited monitoring point, realizes the high-precision simulation and real-time three-dimensional visualization of supporting structure overall deformation, does not need to rely on a large number of historical data, and has strong adaptability, provides reliable technical support for wharf tippler room deep foundation pit construction safety early warning and management.

The application discloses a soil sampling multi-objective optimization method based on a quantum annealing algorithm, which realizes efficient simplification of an original sampling point set on the premise of maximum reservation of pollution risk characteristics by constructing a comprehensive multi-objective evaluation function. The method innovatively integrates quantum tunneling, multi-state superposition, quantum interference and other quantum computing characteristics, and comprehensively considers four key indexes, i.e. spatial distribution similarity, three-dimensional volume overlap, pollution risk consistency and heavy metal migration mode consistency. The method guarantees sampling accuracy while significantly reducing cost, and provides an efficient and economical integrated solution for three-dimensional visualization of pollutants.

The utility model relates to supporting device technical field discloses a kind of supporting device for three-dimensional visualization equipment, including pedestal, the top of the pedestal is fixedly connected with support, the top of the support is fixedly connected with driving assembly, sliding distance has sliding disc outside driving assembly, the outside sliding connection of the sliding disc has connecting frame, the outside sliding connection of the connecting frame has sliding plate, the bottom of the sliding plate is fixedly connected with two sliding rod one, the inside of the sliding rod one is fixed with multiple spring one, another end fixedly connected with limit block of multiple spring one, the outside sliding connection of the pedestal has limit component. In the utility model, when three-dimensional visualization panel malfunction occurs, it can be quickly disassembled, while improving fault response efficiency, reducing maintenance threshold and cost, enhancing equipment iteration flexibility and complex scene adaptability.

This invention proposes an automated construction organization design platform and its design method for water conservancy and hydropower projects. The platform includes a structured experience database system, a dynamic optimization calculation system for earthwork balance, an intelligent construction schedule generation system, an automated construction resource design system, and a 3D visualization and decision support system for the overall construction layout. The platform system uses the correlation data between building quantities and schedule time as a link to achieve data exchange and collaborative linkage. The design method includes: constructing and initializing the structured experience database system; automatically generating a construction schedule plan; outputting an earthwork balance scheme; automatically calculating and configuring labor force, work area, and facilities of each construction plant; generating a construction layout scheme and outputting it in 3D visualization. This invention realizes intelligent processing of the entire process of construction organization design calculation, resource supply planning, and site layout, significantly improving design efficiency and scheme accuracy, while also possessing good operability and system integration.

This application relates to an intelligent visualization processing method, apparatus, device, and medium for geological data. The method includes: acquiring raw interactive behavior data, an information entropy map, and a competition hypothesis map; performing structured processing on the raw interactive behavior data to obtain a high-dimensional interactive behavior sequence; inputting the high-dimensional interactive behavior sequence, the information entropy map, and the competition hypothesis map into a pre-trained anchoring bias quantification model to obtain a dynamic anchoring index heatmap; based on the dynamic anchoring index heatmap and the competition hypothesis map, using a real-time shader in a 3D graphics rendering pipeline to convert risk probability values ​​and likelihood quantification values ​​into dynamic visual parameters superimposed on a 3D geological data field, and generating a 3D geological data field that enhances the 3D visualization scene; based on the dynamic anchoring index heatmap, combined with specific interactive events in the high-dimensional interactive behavior sequence, adjusting interaction damping parameters and generating a comparative data analysis view. This method can improve the comprehensiveness of the geological interpretation process.

The application discloses a kind of based on three-dimensional visualization dynamic segmentation double integral teaching demonstration software algorithm, belong to computer-aided instruction technical field.The system includes mathematical modeling module, grid segmentation module, geometry construction module, rendering engine module, calculation analysis module, error visualization module, animation generation module and user interaction module.System is through gradual regional division strategy, the long rectangular cuboid column unit of the rectangular domain on the dynamic segmentation of the curved top cylinder corresponding to the integral function, using transparent curved surface rendering and entity cylinder color coding technology, intuitively show the riemann and approximation process of double integral.System supports multi-angle view angle animation synthesis, real-time calculation and display approximate volume, accurate integral value and error index, solve the technical problem that double integral concept is abstract and difficult to understand in traditional teaching, lack intuitive cognitive tool, significantly improve the visualization effect of mathematical teaching and student's learning efficiency.

An ultrasound imaging system includes an ultrasound imaging probe with a transducer array configured to emit ultrasound pressure fields and receive echo signals during a sweep of the probe and a tracking sensor configured to track a spatial location and orientation of the ultrasound imaging probe during the sweep, a beamformer configured to generate a set of 2-D ultrasound images for the sweep based on the received echo signals, a visualization module configured to segment tissue of interest in each 2-D ultrasound image of the set of 2-D ultrasound images, generate a mask image of the tissue of interest for each segmented image, convert each mask image to a 3-D graphical representation of the tissue of interest and arrange the 3-D graphical representations in 3-D space based on corresponding tracked spatial location and orientation, and a display monitor configured to present the 3-D graphical representations as a 3-D visualization.

This invention discloses a method for constructing a bridge digital twin health monitoring system, belonging to the field of civil engineering and smart infrastructure technology. The method includes: constructing a three-dimensional geometric model of the bridge; establishing an initial finite element model based on the bridge's three-dimensional geometric model, and using a genetic algorithm to optimize and correct its key parameters to obtain a physical simulation model; acquiring structural response sample data based on the physical simulation model, and constructing an RBF surrogate model using the response surface methodology or radial basis function neural network method to obtain a digital twin bridge model; integrating the digital twin bridge model into a three-dimensional visualization platform to realize visual perception, interactive operation, and remote management of the bridge structural status, thereby constructing a bridge digital twin health monitoring system.

This invention discloses a true triaxial energy evolution analysis method for coal and rock under high static load and disturbance coupling, relating to the field of mining engineering technology. The method includes the following steps: applying high static background stress to a coal and rock sample on a six-axis servo loading platform, and applying periodic disturbance loads in predetermined loading directions, generating loading time sequence records and disturbance effect lists corresponding to the high static background stress and periodic disturbance loads. This invention performs fractional analysis of energy in each principal stress direction under true triaxial loading conditions, achieving independent characterization of strain energy, dissipated energy, and disturbance input energy, and can identify the implicit energy accumulation process under high static load. Through energy density evolution, damage mapping, and three-dimensional visualization and curve fitting, the energy release law and dynamic stability threshold are extracted, providing quantitative basis for identifying coal and rock dynamic instability and improving the interpretability and application value of experimental analysis.

The application discloses a kind of forest stand adjacent wood collision response three-dimensional visualization simulation method and system, it is related to forestry scientific research technical field, the method includes: obtaining the profile point position information of two adjacent trees;Using GJK iterative algorithm collision detection model, the collision point when first collision of two adjacent trees is determined according to profile point position information, and the collision point position information is obtained;Using Lambert illumination model, the illumination intensity of potential offset point of collision point is determined according to collision point position information;Using forest stand adjacent wood collision response function, the response mode of the branch system of two adjacent trees is determined according to the illumination intensity of potential offset point;Response mode includes: same direction growth mode, different direction growth mode and cross growth mode;The response mode is used for carrying out the three-dimensional visualization simulation of tree dynamic growth.The application can improve the authenticity of tree dynamic growth three-dimensional visualization simulation.

This invention relates to the field of virtual simulation and vocational training technology, specifically an international freight forwarding virtual simulation skills training system. The system includes: a scene construction module providing 3D visualized scenes related to international freight forwarding, multi-role interactive subjects, and standardized business resources; an interactive training module simulating international freight forwarding business processes, where trainees perform corresponding practical operations based on assessment tasks; an adaptive evaluation module collecting trainees' operational behavior data and training process data, and providing multi-dimensional scoring of trainees' operational behavior; an assessment management module defining assessment task configurations and scoring rules, and managing trainees' operational behavior data and assessment results; and a data support module providing data storage, access control, and underlying data support. This invention can improve the efficiency of trainees' international freight forwarding skills conversion and enables quantifiable and traceable training results.

This invention discloses a method and apparatus for characterizing the gas leakage path in the micro-annulus of the entire wellbore. The method includes: extracting fracturing engineering parameters and geological parameters from the analyzed well fracturing design documents to obtain a combination of fracturing parameters; establishing a finite element model based on the geological and fracturing engineering parameters, and calculating the plastic strain of the cement sheath using the finite element model; training a neural network model using the combination of fracturing parameters as input and the plastic strain of the cement sheath as output to obtain a trained plastic strain prediction model; inputting the fracturing parameter combination of the target well into the plastic strain prediction model, outputting the predicted plastic strain of the cement sheath, and calculating the micro-annulus width based on the predicted plastic strain; and combining the micro-annulus width with an established three-dimensional visualized wellbore trajectory to characterize the gas leakage path in the micro-annulus of the entire wellbore. This invention can improve the accuracy of micro-annulus leakage risk prediction and visually display the gas leakage path.

The application relates to the technical field of micro-electro-mechanical systems, in particular to a MEMS-based ultra-wideband micro-vibration monitoring system and a signal processing method thereof, which comprises the following steps: a MEMS ultra-wideband sensing array module collects the ultra-wideband micro-vibration time domain signals, environmental temperature and humidity and installation attitude data of a measured equipment; an ultra-wideband micro-vibration digital twin construction module constructs an equipment multi-physical field digital twin and outputs multi-physical field simulation data; an ultra-wideband feature fusion intelligent diagnosis core adopts a CNN-Transformer model enhanced by a multi-scale attention mechanism to generate a hierarchical maintenance strategy; a micro-vibration field three-dimensional visualization interaction module constructs an interactive three-dimensional micro-vibration field virtual scene and presents diagnosis results and maintenance strategies; and an edge-cloud collaborative adaptive regulation and control module performs collaborative regulation and control of edge real-time processing and cloud iterative optimization. Therefore, the problems of limited collection range, insufficient processing efficiency and precision and the like in the prior art are solved.

This invention discloses a model- and data-driven fault diagnosis method for deep space exploration spacecraft, belonging to the field of deep space exploration technology. Addressing the shortcomings of traditional methods in model adaptability, data utilization, and fault location, the method constructs a four-layer fusion architecture comprising the entity layer, model layer, data layer, and application layer of the deep space exploration spacecraft system, achieving dynamic integration and interaction between the mechanistic model and multi-source telemetry data. Through a mechanistic-data hybrid model, real-time system state prediction, fault injection simulation, multi-source data comparative analysis, and health status assessment are achieved. A corresponding software prototype has been developed, possessing functions such as fault mode library management, telemetry-simulation data-driven comparison, 3D visualization, and simulation verification of fault handling strategies. This method can effectively assist in the rapid and accurate location and handling decisions of on-orbit faults, improving the safety and reliability of deep space exploration missions.

The present application relates to the technical field of three-dimensional graphics data processing, and particularly relates to a three-dimensional ground stress modeling method, system and storage medium. The method comprises the following steps: constructing a three-dimensional space grid model of a geological structure, and marking the spatial parameters of stratum, fault and fissure distribution; inputting the spatial parameters into a preset probabilistic mechanics model to generate a multi-scale fissure field; embedding the multi-scale fissure field into an initial tensor field of a preset three-dimensional stress field to generate continuous stress distribution data containing a crack propagation path through fracture evolution simulation; constructing a numerical updating strategy of fluid-solid coupling based on the continuous stress distribution data to solve the fluid pressure field and the solid stress field in a coupled manner and update the three-dimensional stress field. Through the fusion of multi-scale fissure analysis, fracture evolution tracking and fluid-solid coupling solution, the present application realizes the dynamic reconstruction and three-dimensional visualization of the stress field of the geological structure, and significantly improves the accuracy and expression ability of the ground stress distribution under complex geological conditions.

The present application relates to the field of landslide geological disaster monitoring, and particularly relates to a method and system for real-time identification of rainfall-type landslide failure mode, comprising: S1: selecting a monitoring key area; S2: arranging a reference station and a monitoring station in the landslide key area; S3: collecting original observation data, performing data solving at an edge end of each integrated GNSS receiver to obtain coordinate information; S4: transmitting the coordinate information to the cloud to establish a landslide cumulative displacement-time curve library; S5: extracting the cumulative displacement-time curve at the time of rainfall from the cloud, and calculating and comparing the deformation time sequence characteristics of different parts of the landslide; S6: identifying the landslide failure mode, and outputting a three-dimensional visual result of the failure through the cloud GIS software. The method adopts the integrated GNSS receiver to perform data solving at the edge end, thereby reducing the data transmission pressure, improving the solving efficiency, and achieving the effect of real-time monitoring; through the data transmitted to the cloud, the result visualization of the landslide failure mode judgment is realized.

The application relates to a three-dimensional display system and method for building construction management, and belongs to the technical field of building engineering, which comprises an IM full-life-cycle modeling module, a 3D printing modeling adaptation module, a wireless radio frequency data interaction module, an Internet of Things sensing and collecting module and a three-dimensional visual display terminal; the modules are interconnected through a data bus; the BIM full-life-cycle modeling module is used for generating a three-dimensional information model of a building engineering multi-stage; the 3D printing modeling adaptation module is used for converting the three-dimensional information model into 3D printable model data; the wireless radio frequency data interaction module is used for realizing the binding, reading and writing of the three-dimensional model and construction full-process data; the Internet of Things sensing and collecting module is used for collecting production element and management element data of a construction site; and the three-dimensional visual display terminal is used for realizing three-dimensional visual display, interaction and management of building construction related information. The application constructs a full-process digital management system through multi-technology integration.