196 results about "Visualization methods" patented technology

This invention relates to the field of ecological environment management technology, specifically disclosing a refined method and system for visualizing regional vegetation carbon sequestration. The method includes: extracting land use types of a target area based on remote sensing data of land use types and biomass; determining forest areas based on land use types and establishing growth curves for the forest areas based on preset fitting curves; calculating the carbon sequestration amount of the forest areas based on the growth curves and determining the carbon sequestration ratio of different forest areas; allocating the total carbon sequestration amount to different sub-regions of the target area based on the carbon sequestration ratios, and visually converting the allocated target areas. This invention first selects a target area, calculates the carbon sequestration amount based on the forest areas within the target area, then redistributes the carbon sequestration to different areas according to land use types, and visualizes the redistribution results, facilitating the management of the area.

The application discloses a kind of visualization methods for microcosmic action mechanism of steam displacement heavy oil, which comprises: obtaining the porous structure information of rock sample;According to the structure information of rock sample, design pore network structure and make microfluidic chip;Build steam displacement heavy oil visualization implementation system, and adopt steam displacement heavy oil visualization implementation system to collect the phase distribution and temperature distribution of microfluidic chip in displacement process;Boundary extraction is carried out to experimental picture, and the dynamic change process of each phase in displacement process is obtained and the interaction relationship with temperature distribution change is obtained.The application designs pore network chip according to the pore structure information of rock sample, obtains the phase distribution and temperature distribution in displacement process, and is used to study the microcosmic phase distribution characteristics and temperature distribution characteristics of fluid in heavy oil reservoir reservoir, and then the microcosmic mechanism of reservoir fluid movement is explored, so as to provide a practical visualization method for the research of steam drive oil mechanism.

This invention supports measures for improving greenhouse gas emissions in supply chains. The visualization device includes: an acquisition unit that acquires a first greenhouse gas emission emitted when the nth operator of N operators constituting the supply chain generates a unit quantity of an nth-order product; a second greenhouse gas emission emitted by each of the 1st to (n-1th)th operators when generating a 1st-order product used to generate the unit quantity of the nth-order product, up to the generation of an (n-1th)th-order product; and a third greenhouse gas emission emitted by each of the (n+1th)th to Nth operators when generating an (n+1th)th-order product to an Nth-order product generated using the unit quantity of the nth-order product; and a visualization unit that visualizes the greenhouse gas emissions of the N operators constituting the supply chain using the ratio of the second greenhouse gas emissions to the first greenhouse gas emissions and the ratio of the third greenhouse gas emissions to the first greenhouse gas emissions.

This application provides a method and apparatus for visualizing dermoscopic image features based on orientation awareness, comprising: processing a dermoscopic image through a backbone network of a segmentation network, wherein the spatial resolution of multiple hierarchical modules is progressively reduced and the number of channels is progressively increased; decoupling the orientation features of the dermoscopic image and hierarchically propagating the orientation prior through orientation-aware base blocks; extracting directional latent priors containing global response information in multiple directions from deep orientation features; fusing orientation features under the guidance of the directional latent priors through a decoder to obtain a segmentation feature map; progressively decoupling and enhancing multi-scale orientation information during feature extraction, and extracting compact directional latent priors from deep features; and using the orientation priors to guide dual attention computation within a local window, enabling the model to achieve a balance between structural consistency and detail accuracy, thereby achieving robust recovery of the continuous boundaries and topological integrity of lesions.

The application relates to a charging state visualization method and a computer device. In response to a charging connection event, a first dynamic figure is presented on a display screen, the first dynamic figure comprising a visual element for dynamically displaying a current battery power; in response to identifying a change in a charging state or protocol, a second dynamic figure is presented on the display screen, the second dynamic figure comprising at least one visual element of a target dynamic figure, the target dynamic figure comprising the first dynamic figure and / or a third dynamic figure; wherein the first dynamic figure, the second dynamic figure and the third dynamic figure are all used to represent charging-related state information. The method can improve the information acquisition efficiency of the charging state of the electronic device.

This invention discloses a molecular event visualization method and electronic device, proposing the concept of a molecular film. The method acquires the topological structure file of the drug molecule-target protein and the original trajectory file generated after molecular dynamics simulation of the drug molecule-target protein; based on the original trajectory file and topological structure file, it obtains the keyframe sequence of the molecular dynamics simulation of the drug molecule-target protein; it monitors the keyframe sequence to identify key event sequences of the drug molecule-target protein, and annotates the key event sequences to obtain annotated key event sequences; and it renders the annotated key event sequences to visualize and output the generated rendering data as molecular events, significantly improving the efficiency and depth of understanding molecular mechanisms of action in drug discovery and optimization.

This invention discloses a multimodal image visualization method for discharge defects in transmission lines, comprising: 1. acquiring three-modal images and defining true defect labels; 2. constructing a feature extraction module and a feature purification module to obtain purified features for each modality; 3. constructing a cross-modal attention fusion module to achieve adaptive fusion of features from the three modalities and constructing a cross-modal consistency loss function; 4. constructing a multi-task loss function, comparing the model prediction results with the true labeled information, and using the SGD optimizer for backpropagation iterative training to obtain a converged defect detection model; 6. constructing a prediction module to predict the location, category, and confidence level of the defect; 7. drawing defect detection boxes on the visualized image and labeling them with type and confidence level, and overlaying ultraviolet and infrared heatmaps to achieve the visualized output of multimodal fusion. This invention can effectively suppress background interference, thereby enabling automated detection of small discharge defects caused by high-voltage arcs in transmission lines.

The application relates to the technical field of intelligent water conservancy emergency monitoring and early warning, in particular to a finite element visualization method based on digital twinning. The method comprises the following steps: acquiring finite element data, wherein the finite element data comprises mesh structure data and field data; respectively analyzing the field characteristics and the mesh density characteristics in each analysis region according to the finite element data, and determining the corresponding visualization weight coefficients of the analysis regions; collecting visualization operation parameters, and analyzing the numerical gradient distribution law of the field data to determine the color mapping contribution coefficients of the analysis regions; combining the color mapping contribution coefficients and the visualization weight coefficients of the analysis regions to construct a visualization evaluation quantity; and solving the color mapping parameters, the visualization display mode and the camera posture parameters of the analysis regions according to the visualization evaluation quantity. The application can help reduce redundant calculation in the rendering process of large-scale finite element models, improve response speed and operation stability, and enhance overall interaction performance.

The application discloses an Excel-based data processing and visualization method and system, which comprises the following steps: loading a visualization user interface in an Excel workbook, wherein the user interface comprises interactive controls for selecting independent variable fields, dependent variable fields and grouping fields; receiving non-continuous selection of multiple categories in the grouping field by the user through the interactive controls, and automatically classifying the unselected categories into other groups to form an extended grouping mapping; matching and reorganizing the original data based on the extended grouping mapping by using a hybrid indexing mechanism; automatically generating a dynamic chart according to the reorganized data, wherein the coordinate axis range, legend position, series color and auxiliary line style of the dynamic chart are automatically configured according to the number of groups and the dependent variable value range; performing statistical analysis and multivariate linear regression on the data of each group, and converting the regression results into an executable formula string containing cell references and outputting the executable formula string to a specified cell.

The application relates to a method for designing leakage inductance and suppressing transformer impulse current by using the leakage inductance, characterized in that the method comprises the following steps: obtaining a four-dimensional feasible region of a transformer capacity arc set S and a transformer leakage inductance set by four-dimensional visualization processing respectively L lp ; obtaining a fitted B-H curve according to actual test data of a core, and converting the B-H curve into a I curve; physically modeling a no-load transformer considering the leakage inductance, and establishing a mathematical model, and solving the mathematical model to obtain a magnetic flux expression considering the leakage inductance; combining the magnetic flux expression considering the leakage inductance and the I curve, and calculating the impulse current considering the leakage inductance i , and calculating the current of multiple periods to obtain a waveform of the impulse current. The application designs the leakage inductance by using a four-dimensional visualization method, and quantitatively calculates the impulse current considering the influence of the leakage inductance on the basis of traditional qualitative analysis of the impulse current, so that the impulse current at the power-on moment of the transformer is reduced.

The application provides a medical image classification and feature visualization method based on a deep learning model and a feature visualization tool, and comprises the following steps: A, removing non-key information frames from a brain MRI image; B, performing slice enhancement on the data to obtain a slice data set; C, transversely splicing the slices in sequence to obtain a spliced picture data set; D, putting the spliced picture data set into SE-ResNet50 for training and testing to obtain a classification result; E, putting the trained spliced picture network and a sample spliced picture into Grad-CAM to generate a heat map; F, selecting key frames from the heat map, putting the key frame slice set into SE-ResNet50 to extract features and classify; G, generating a key frame heat map through Grad-CAM; and H, using the obtained classification result and heat map to assist in diagnosis. The application discloses a method for classifying and visualizing features of brain images based on a deep learning method. An optimized SE-ResNet50 network is used to extract features and classify patient brain images. Abnormal regions are marked and visualized through Grad-CAM, so that the efficiency and diagnosis rate are improved.

This invention discloses a three-dimensional modeling and visualization method based on gravity and magnetic data, relating to the field of geophysical exploration technology. The method includes the following steps: performing multi-scale decomposition processing on gravity and magnetic anomaly data to weaken the volume field superposition effect; constructing a three-dimensional grid model of the study area based on the spatial distribution of surface observation data, using the density and magnetic susceptibility of each grid cell as model variables to be inverted, and reducing the impact of superposition effect on subsurface exploration modeling through multiple gravity and magnetic field components with different depth sensitivities, providing high-quality input for the constructed three-dimensional grid model; then inverting the three-dimensional grid model, and introducing differentiated weight constraints during the inversion process to improve the resolution and stability of the subsurface physical property distribution inversion, and enhance the accuracy of inferring subsurface geological properties.

This invention provides a method for visualizing test site workstations using a digital dashboard, comprising the following steps: creating site information and determining workstation information within the site; completing workstation labeling; binding test tasks to workstations; and displaying test task information for site workstations. Through this method, the test process can achieve true transparency and real-time management, improve site utilization efficiency, and enhance team collaboration and anomaly response capabilities.

This invention provides a 3D visualization method for industrial equipment based on key feature recognition, belonging to the field of industrial equipment digitization technology. The method achieves accurate lightweighting and efficient visualization of industrial equipment 3D models through a five-step process: constructing a standardized knowledge base for functional components of power distribution equipment, identifying key regions based on a knowledge-enhanced graph convolutional neural network, hierarchical lightweight reduction of polygons, ASTC texture hierarchical compression, and a line-of-sight adaptive LOD mechanism. This invention uses a hierarchical polygon reduction technique that preserves key features, dividing the power distribution equipment into key and non-key feature areas, and selectively allocating polygon reduction rates of 20% and 80%. Combined with an ASTC near-lossless compression strategy for key areas, the recognition accuracy of key information such as circuit breaker opening / closing indicators and busbar T-type connection structures remains above 95%. Simultaneously, a topology protection algorithm ensures the integrity of the overall model structure and connection relationships, balancing model simplification with industrial practicality.

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 a machine learning-based method for visualizing smart factory production data, comprising the following steps: acquiring and preprocessing production data to form window samples, condition vectors, and target sequences; encoding to generate a shared representation sequence; generating a set of working condition color band segments from a color band segment generation structure; outputting a candidate set of beat rates and yield rates from a six-expert trend syntax tree generation structure; applying cross-KPI linked visual syntax and adjudicating fusion to obtain a trend syntax tree and interval band prototypes; performing syntax consistency calibration to output calibration interval bands and correction instructions; and generating intelligent visualization results. This invention utilizes shared representation encoding, working condition color band segment generation, and six-expert trend syntax tree linked calibration to achieve structured intelligent visualization of beat rates / yield rates, possessing advantages such as stable readability, cross-KPI consistency, and traceable correction.

The application discloses an interactive algorithm visualization method and a practical training platform for machine vision practical training, and relates to the field of education and practical training.The method comprises the following steps: in response to a click signal of a node, jumping to a corresponding algorithm practical training page, wherein the algorithm practical training page is realized based on algorithm knowledge point navigation, and each algorithm knowledge point is organized in the form of a node; in response to a parameter adjustment operation of a user through a visualization deduction control, triggering the recalculation of a machine vision algorithm in real time to obtain a calculation result; rendering the calculation result on an interface, and visually displaying the interface after rendering; and displaying perspective information of a machine vision algorithm operation process in the process of visual display.The application can effectively improve the teaching effect.

The application belongs to the technical field of data storage devices, and particularly relates to a mobile solid state disk and a PCB visualization method thereof, which comprises a shell and a main control chip arranged in the shell. The main control chip is electrically connected with a display screen. The main control chip is used for controlling the display screen to display target data on the shell. The main control chip comprises: a data acquisition module, which is used for acquiring physical state data of the mobile solid state disk in real time; a multi-dimensional analysis model, which is used for setting a first processing condition, obtaining first data from the physical state data according to the first processing condition; and a health state gradient supervision module, which is used for displaying the physical state data and the first data in a specified area, setting a second processing condition, and obtaining second data from the first data according to the second processing condition. In the application of the direct connection storage architecture, the original physical data is divided into different gradients, different factors are screened out, and a life cycle score is obtained, so that the mobile solid state disk can be visualized, and the multi-dimensional display score result efficiency is improved.

This invention provides a method for visualizing scheduled tasks, applied to a visualization system. The method includes: receiving a target scheduled task message sent by a task system and determining a visualization record table for the target scheduled task based on the target scheduled task information; obtaining process data of the target scheduled task from a log system based on a visualization meta-configuration table and the target scheduled task information; and displaying the target scheduled task based on the visualization record table and the process data. The method involves determining the visualization record table and obtaining the corresponding process data by processing the received scheduled task message; displaying the status and execution process of a large number of scheduled tasks based on the visualization record table and the process data; and issuing alarms for timeout tasks by analyzing the average execution time of past tasks.

This disclosure provides a robot intelligent visualization method, device, storage medium, and program product. The method includes: acquiring robot pose data, joint data, and point cloud data of a real-world scene; using a coordinate transformation method to convert the position data in the pose and joint data from the robot's body coordinate system to a three-dimensional scene coordinate system; based on the coordinate-transformed pose and joint data, performing real-time posture and skeletal synchronization of the robot to generate a virtual robot model that accurately reproduces the robot's real movements; constructing a three-dimensional scene based on the point cloud data and embedding the virtual robot model into the three-dimensional scene; and triggering a corresponding task mode when the virtual robot model is within the task point sensing range of the three-dimensional scene. This method achieves precise spatiotemporal synchronization and fusion between the physical robot and the virtual scene through multi-source data fusion and coordinate system unification, realistically reproducing robot movements and intelligently triggering tasks.

The application discloses a kind of based on encryption text visualization method, data processing method, system and device, including the text information of original book obtained is encrypted, obtains encrypted text information;Encrypted text information is sent to data processing platform, to make data processing platform to encrypted text information carry out event extraction, obtain ciphertext result;And feedback ciphertext result to terminal equipment;Ciphertext result is decrypted, obtains event extraction result;Wherein, event extraction result at least includes trigger word, event type, event argument and argument role;Event argument contains event element;According to event extraction result, construct matter knowledge graph;Element image corresponding to event element is embedded into matter knowledge graph, obtains the visualized image of text information.The application can obtain the visualized image corresponding to the text information of original book under the premise that the text information of original book is encrypted, improves the data security of original book.

The application discloses a ship trajectory hierarchical visualization method and related equipment, and the method comprises the following steps: performing multi-scale adaptive trajectory thinning by constructing a hierarchical slope threshold model, and constructing a unified trajectory point retention judgment model by cooperating with speed change constraints, heading change constraints and shoreline or obstacle constraints, so as to realize fine regulation and control of trajectory thinning, and realize hierarchical thinning and high-quality visualization of the ship trajectory. Through the hierarchical slope threshold model and the unified judgment mechanism, the compression rate and processing efficiency of the trajectory data are improved. Through the combination of the speed change constraint information and the heading change constraint information, the accuracy of the trajectory form retention is realized. Through the shoreline or obstacle constraint, the phenomenon of "land penetration" of the thinned trajectory can be effectively avoided, the spatial logic and accuracy of the trajectory are ensured, the rigorousness requirement of the maritime supervision scene is met, and the method can be widely applied to the field of maritime traffic monitoring technology.

This invention relates to a device for real-time observation of laser-induced thermal convection within a SBS-PCM based on schlieren imaging, belonging to the field of optical laser measurement technology. It addresses the problem of existing technologies being unable to perform non-invasive, real-time, and quantitative observation of transient thermal convection fields within SBS-PCMs. The invention comprises: a pump source, an energy adjustment system, an optical isolation system, a beam separation system, a reflection focusing system, a probe source, a beam expander and collimator system, an SBS phase conjugate mirror, and a schlieren imaging system. The beneficial effects of this invention are: by designing the probe light and pump light to propagate collinearly within the dielectric cell, the schlieren imaging system and the pump source are synchronized for triggering, enabling real-time reception of probe light carrying refractive index gradient information. Combined with multi-dimensional visualization methods, the data is processed in real time, comprehensively revealing the intensity, morphology, and directional characteristics of the thermal convection field.

The application is suitable for the field of power system monitoring, and provides a power multi-dimensional situation data visualization method processing method, which comprises the following steps: collecting multi-source data and generating visualization rendering data after processing; a main screen displays a core situation and responds to scene switching and click events; a side screen continuously monitors the main screen events, analyzes user intentions in combination with event content, real-time data context and special topic scene knowledge graph, dynamically decides detailed data to be displayed based on the intentions, requests corresponding visualization rendering data to be rendered, realizes dynamic self-adaption linkage of the main screen and the side screen based on context perception, and continuously updates the above steps. Therefore, the method solves the defects of the existing main screen and side screen linkage which depends on static rules and lacks context perception, realizes dynamic self-adaption cooperation based on user intentions and real-time data context, significantly improves the coherence and depth of information display, and effectively supports optimization of dispatching decision efficiency.

This application discloses a visualization method, system, and medium for bidirectional linking of data resource catalogs and storage. The method includes: obtaining the logical data catalog and physical storage structure, where the catalog contains logical objects and the storage contains physical objects; receiving the user-selected mapping mode and configuring corresponding mapping rules; constructing a bidirectional reversible mapping relationship between logical and physical objects based on the rules, including forward and reverse mapping functions; persistently storing the mapping relationship in a mapping relationship database and generating version information. This application overcomes the drawbacks of independent catalogs and storage, allowing business personnel to locate physical storage locations from the catalog and technical personnel to locate business items from fields. Version management enables change recording, retrospection, and accountability, laying a technical foundation for data lineage and collaborative governance.

The present application relates to the technical field of virtual simulation and fluid modeling, in particular to a sea current prediction and visualization method based on digital twinning, comprising the following steps: S1, setting a boundary water level and a terrain elevation to calculate an initial flow velocity field, and generating a projection velocity field satisfying an incompressible condition through projection correction; S2, generating a disturbance mapping by combining a difference value of the projection field and the initial field, a terrain gradient and a boundary change rate, and marking a potential visual discontinuous area; S3, constructing a terrain-sensitive disturbance factor to modulate a velocity input, driving a wave and particle system, and realizing smooth transition and consistent evolution of a physical field and a visual rendering system. The present application realizes the fusion effect of high consistency between physical precision and visual performance of sea current simulation under complex terrain by constructing a disturbance-modulated physically consistent velocity field and driving the wave and particle system to evolve cooperatively.

This invention discloses a method and apparatus for visualizing four-region facial segmentation based on a 3D model, relating to the field of image processing technology. The method includes: calculating the unit normal of each vertex; extracting specular transition rings and generating a ring buffer set; performing weighted statistical analysis on mesh vertices using suppression weights to establish the left-right and top-bottom axes of the 3D face mesh; projecting the vertex set onto the left-right and top-bottom axes, and determining the left-right segmentation boundary and top-bottom segmentation threshold based on the ring buffer set to generate a four-region mask; performing ring attenuation backfilling processing on the scalar values ​​of the vertices to be visualized based on geodesic distance to obtain the visualization scalar values, and calculating the statistical indicators of each region based on the suppression weights and the four-region mask. This invention can significantly improve the stability and accuracy of 3D facial analysis.

This invention relates to a visualization method and application system based on multidimensional state space, within the field of visualization processing. It acquires and standardizes multidimensional signals and historical data from detection points. In the first visualization region, the radius of concentric circles in a Cartesian coordinate system is dynamically determined based on the historical data distribution density. The first and second dimensions are mapped to coordinates to obtain data points. Directional features are generated using quadrant positions, and deviation degree and level labels are generated using Euclidean distance. In the second visualization region, the third dimension is mapped using a bar chart array. The output is a comprehensive interface including dual regions and tables, presenting the evolutionary state using directional features. Finally, by using real-time statistical frequency analysis, when a structural drift of the expected benchmark occurs, the radius or level is corrected. This invention improves the accuracy and adaptability of monitoring.

The application discloses a resource visualization method, device and system based on pipeline optical cable management, relates to the technical field of optical cable data analysis, and solves the problem that pipeline optical cable maintenance resources cannot be visually adjusted based on vibration sensitivity. The method comprises the following steps: calculating the theoretical attenuation of optical signals in the pipeline optical cable according to the length and the bending radius; analyzing whether the pipeline optical cable is a vibration-sensitive optical cable according to the change trend of the attenuation deviation value and the vibration amplitude; dividing the analysis time period into different maintenance interval time periods according to different maintenance times, and calculating reference vibration data of the vibration-sensitive optical cable; constructing a maintenance judgment interval, and calculating the actual vibration data of the vibration-sensitive optical cable in the maintenance judgment interval; and judging whether the vibration-sensitive optical cable needs to be maintained in advance according to the reference vibration data and the actual vibration data. The application realizes the visual adjustment of pipeline optical cable maintenance resources based on vibration sensitivity.