170 results about "Interactive visualization" patented technology

An example operation may include at least one of receiving, via a user interface of a device, an activation input from a user to initiate a session, capturing, by a camera of the device, a scan of a body of the user, wherein the capturing comprises recording at least one image and / or at least one video of the user, processing the at least one image and / or video to generate a three- dimensional model of the user comprising measurements and contours of the body, retrieving, from a database, at least one clothing item associated with the user, the at least one clothing item comprising dimensional attributes and texture attributes, rendering, by a graphics processing unit, the at least one clothing item onto the three-dimensional model to generate a visual representation, wherein the rendering simulates draping behavior, movement, and light interaction of the at least one clothing item relative to the three-dimensional model, and displaying, on the user interface, an interactive visualization comprising the visual representation of the three-dimensional model with the at least one clothing item from multiple viewing angles.

A spatiotemporal modeling system for Personal Health Database (PHDB) platforms integrates diverse health data types into a comprehensive 4D model of an individual's health status. By combining genomic, imaging, clinical, and real-time health data, the system creates a dynamic, time-based representation of the user's anatomy and physiology. This model enables real-time analysis, pattern recognition, and predictive forecasting of health outcomes. The system preprocesses and aligns data from various sources, constructs a detailed spatial framework, and continuously updates the model with new inputs. Through interactive visualizations, it provides users and healthcare providers with intuitive, personalized insights for improved health management and decision-making.

The invention relates to the field of commodity visualization, in particular to a commodity display interaction visualization method and device. The method comprises the following steps: collecting a multi-azimuth image of a commodity, carrying out three-dimensional texture modeling, and constructing a three-dimensional texture mapping model; performing material light rendering on the three-dimensional texture mapping model to generate a material rendering result; collecting an environment detection image of a commodity display environment, and performing environment illumination adaptation compensation on a material rendering result to obtain an illumination compensation rendering commodity; carrying out attribute information visual layout on the illumination compensation rendering commodity to obtain a commodity visual space; and carrying out interaction response animation analysis according to the commodity visualization space, carrying out multi-target parallel rendering, and executing commodity interaction visualization operation. The form and surface details of the commodity in the real world are accurately restored, the visual reality sense is improved, and the interactive experience feeling of browsing the commodity by a user is enhanced.

The invention relates to the technical field of pipeline inspection, in particular to a defect identifying and positioning method. Comprising the following steps: generating a uniform node feature tensor through coordinate mapping and feature fusion by synchronously collecting a pipeline inner wall image, an ultrasonic echo and an electromagnetic eddy current signal; constructing a space-time heterogeneous feature graph, integrating three types of relationships of a space adjacent edge, a time evolution edge and a semantic similarity edge, and dynamically optimizing a graph structure by utilizing a trainable fusion factor; a heterogeneous edge decoupling convolution and dynamic attention mechanism is designed, space-time semantic features are extracted through channels, neighborhood information is aggregated, and high-resolution defect classification is achieved; based on a classification result and a residual tensor of an original feature, a defect space position is accurately predicted through a coordinate inversion network, and positioning robustness is improved by combining positioning confidence score and weighted aggregation; and finally fusing the equipment track and the pipeline three-dimensional model to realize defect geographic coordinate mapping and interactive visualization. According to the method, the defect identification precision and the positioning reliability in a complex pipeline environment are remarkably improved.

The invention relates to the technical field of land parcel management, in particular to a land parcel full life cycle compliance management and operation monitoring system, which comprises a multi-source data acquisition module for acquiring multi-dimensional land parcel data such as spatial geographic ownership planning and approval from a plurality of heterogeneous data sources in real time; the data fusion and storage module performs data cleaning and standardized fusion, adopts a distributed cloud storage architecture and introduces data version management to support historical tracing; the intelligent compliance judgment engine generates a compliance state judgment result and a compliance risk report based on the dynamic compliance rule base and machine learning; the interactive visual monitoring module is used for dynamically displaying the compliance state of the land parcel space information life cycle stage and the key index trend; and the automatic early warning and intervention module is used for performing graded early warning and triggering a rectification or emergency intervention process. According to the invention, the problems of difficulty in compliance judgment, low efficiency, non-visual monitoring and slow risk response of existing land parcel management data integration are solved, and intelligent compliance management and operation monitoring are realized.

The invention discloses a GIS interactive visualization processing method and system for geographic coordinate data, and relates to the field of GIS and the technical field of computers. The method comprises the following steps: collecting multi-source geographic coordinate data, preprocessing the multi-source geographic coordinate data, and standardizing the preprocessed multi-source geographic coordinate data to obtain target multi-source geographic coordinate data; loading the target multi-source geographic coordinate data to a GIS map, and displaying the target multi-source geographic coordinate data through different layers; automatically detecting and marking data quality based on a display interface corresponding to the GIS map; and correcting the detected problem data based on a GIS map by adopting an interactive data correction mode. According to the method and the device, the technical problem of low data processing efficiency caused by difficulty in intuitively reflecting the spatial distribution characteristics and the association relationship of the data because the current geographic coordinate data treatment method mostly depends on the traditional data processing means and presents the data in the forms of texts and tables is solved.

A computing platform can generate a virtual world and a set of virtual agents having agent traits and interaction rules. For example, by automatically analyzing experimenter queries, the platform can bind the agents to machine learning models that perform tasks responsive to the questions. The platform can generate additional hypotheticals to enable chains of simulations. The platform can execute a first simulation session by causing the set of agents to generate a first output set. Using an additional data source to generate new world characteristics, such as environmental and / or temporal conditions, the platform can generate and apply agent evolution logic for subsequent simulations, such as by performing mutation of agent traits, selection of agents, crossover of agent characteristics, and / or deletion of agents that do not meet a fitness threshold. The platform can persist agent states and outputs to generate user-interactive visualizations, aggregations, and training data sets for training agent models.

The invention provides an end-to-end automatic driving interpretable decision-making system and method based on a multi-modal causal atlas, and belongs to the technical field of intelligent driving. The method comprises the steps of data input, decision generation, causal analysis, model optimization and interactive interpretation. The objective of the invention is to construct an interpretable end-to-end automatic driving system integrating causal atlas construction, expert network mixing and interactive visualization by combining multi-modal vision-language models such as DynRsl-VLM and V3LMA with an end-to-end network and a DiffVLA diffusion planning algorithm. And the gap of decision transparency and real-time interaction requirements in the prior art is further filled.

The invention provides a cell specific transcription factor regulatory network analysis method and a visualization platform, and relates to the technical field of bioinformatics, the method comprises the following steps: constructing a gene regulatory network through a GRNBoost2-cisTarget-AUCell-Cell GRN workflow based on a transcription factor in combination with a motif database; screening a direct regulation relationship in combination with the database, and calculating an activity score of a regulator in each cell; based on activity scores and cell type annotation results, grouping the single cell data by using a unified manifold approximation and projection (UMAP) dimensionality reduction method and a Leiden clustering algorithm, and displaying the following results through an interactive visualization tool: a cell clustering UMAP graph, performing color marking according to cell types; a UMAP graph and a heat map of transcription factor regulator activity; according to the visual map of the gene regulation and control network, transcription factors and target genes are distinguished through node shapes, and regulation and control relations are marked through line weights and colors. According to the invention, an accurate regulation and control network can be provided.

The invention relates to the technical field of data processing, in particular to an intelligent supervision method and system based on a data visualization platform, and the method comprises the steps: collecting multi-source water conservancy data through dual-channel redundancy check, converting the multi-source water conservancy data into a standardized space-time matrix, carrying out the data cleaning through a containerization adaptation and variational auto-encoder, and marking the confidence; hierarchically storing the data based on a confidence threshold, and generating a routing strategy through reinforcement learning to distribute data fragments; calculating a flood peak evolution prediction result by using space-time diagram convolution, calculating an output risk assessment value by combining a Bayesian network and long and short-term memory, and activating federal learning parameter updating when the confidence coefficient is insufficient; the digital twin model loads physical constraint parameters to deduce a flood control scene, and a scheduling instruction set and a rehearsal animation are generated through multi-objective optimization; and dynamically rendering to generate an interactive visual interface, associating a causal deduction path, and triggering federal model parameter updating by user feedback, thereby realizing dynamic collaboration of the forecasting and early warning rehearsal plan function chain.

The invention relates to the technical field of digital twinning, in particular to a real-time interactive visualization system and method based on digital twinning, and the system comprises a data collection module which is used for configuring a multi-protocol adapter deployed on a physical equipment layer to collect the operation data of physical equipment, and transmitting the operation data of the physical equipment to an edge computing node. According to the method, the general data adapter is used for driving the three-dimensional rendering engine to execute real-time rendering based on physics, so that the virtual scene can dynamically reflect details such as illumination change and material aging of a physical entity, and high-fidelity visual feedback is provided. According to the method, a closed-loop control mechanism is established in combination with a multi-modal interaction framework, pure data monitoring is converted into operable bidirectional interaction, operation of a user on a visual interface can be converted into feedback instructions in real time to reversely adjust physical equipment, and the response efficiency of remote operation and maintenance is improved.

The invention discloses a geological deformation monitoring method and device based on remote sensing data, equipment and a medium. The method comprises the following steps: acquiring real-time multi-source remote sensing data corresponding to a target area of a transformer substation; carrying out fusion analysis based on the real-time multi-source remote sensing data, and extracting texture features corresponding to the external damage hidden danger target; based on the dynamic change model and the texture features, obtaining an external damage hidden danger probability distribution diagram and a man-made interference area corresponding to the external damage hidden danger target; acquiring surface deformation monitoring data of the target area based on the man-made interference area; optimizing the space reference of the SAR satellite image based on the Beidou positioning data to obtain a three-dimensional deformation field; constructing a live-action three-dimensional base map corresponding to the transformer substation, and generating an interactive visual report based on the live-action three-dimensional base map; according to the invention, wide-area intelligent identification of external damage hidden dangers of the transformer substation and high-precision three-dimensional monitoring of geological deformation are realized, and the real-time performance and reliability of collaborative analysis of multi-source data are improved.

The invention relates to the technical field of intelligent industry, and discloses a visual communication system based on weak current engineering and an operation method thereof, and the system comprises a multi-mode signal collection module, an intelligent data processing module, a dual-channel communication transmission module, an interactive visualization module and an autonomous control system module. The method comprises the following steps: synchronously acquiring video, audio and environmental parameters through a distributed sensor array; eliminating multi-source signal deviation by adopting a space-time alignment algorithm; feature fusion and quality evaluation are realized based on a deep neural network; dynamically selecting a wired and wireless hybrid transmission mode; an AR enhanced visual human-computer interface is constructed; and implementing a fault self-diagnosis and fault-tolerant recovery mechanism. According to the invention, the bit error rate of the communication system is reduced, the continuity and reliability of the communication process are ensured, and the man-machine interaction efficiency and the emergency response speed are improved.

The invention relates to the technical field of data analysis, in particular to a dialogue type data analysis method, system and device based on a large language model and a medium, and the method comprises the steps that a natural language query request input by a user is acquired, semantic analysis is conducted on the natural language query request through the large language model, and key query elements are extracted; generating a structured query instruction according to the key query elements; calling a data integration engine based on the structured query instruction, and obtaining target data from the plurality of heterogeneous data sources; performing processing analysis on the target data, wherein the processing analysis comprises drilling-down analysis, attribution analysis and anomaly detection; and generating an analysis report and a visual chart based on the processing analysis result, and feeding back the analysis report and the visual chart to the user. According to the method, high-precision intention analysis and multi-source data integration can be realized, deep analysis and interactive visualization are supported, and the accuracy, efficiency and user experience of data analysis are remarkably improved.

The invention provides a software architecture governance system based on automatic modeling and holographic penetration analysis. The software architecture governance system comprises multiple modules: a project management module used for managing all analysis projects; the source code management module is used for pulling, updating and deleting project source codes; the analysis drive management module is used for uniformly managing and calling analysis drive programs; the multi-language analysis driving cluster is integrated with analysis driving programs corresponding to multiple programming languages and is responsible for analyzing source codes, generating a standardized software chart model and storing the standardized software chart model in a database; the rule engine module is used for supporting a complex code analysis service; the cross-project integrated analysis module generates a system architecture diagram according to the plurality of software models and stores the system architecture diagram into a diagram model library; the multi-dimensional data fusion interface module provides penetrating analysis interfaces of a code layer, a design layer and a framework layer; and the architecture model visualization module is responsible for displaying the system architecture in a multi-dimensional visualization manner. The method can be used for automatic modeling, tracing analysis and interactive visual presentation of a complex system architecture.

The invention discloses a smart power grid online evaluation method and system, and relates to the field of smart power grids, and the method comprises the steps: S1, multi-source database construction, S2, evaluation model construction, S3, preliminary evaluation scheme generation, and S4, interactive visualization. Integrating multi-dimensional data in a power grid operation setting period, establishing a power grid operation state evaluation model library, and generating a real-time operation state evaluation report; an evaluator adjusts evaluation parameters or focuses on attention in real time, a real-time feedback mechanism is integrated, and the evaluation model is optimized by using historical evaluation data; through multi-source data integration and model construction, real-time accurate evaluation of a power grid operation state is realized. By means of an interactive visualization and feedback mechanism, a'monitoring-analysis-optimization 'management closed loop is formed, an innovative solution is provided for safe and efficient operation of an intelligent power grid, the reliability and stability of operation of the power grid are effectively enhanced, and the intelligent management level of the power grid is improved.

The invention relates to the cross technical field of big data processing and international trade risk assessment, in particular to a big data-based technical trade barrier risk assessment system, which comprises a data acquisition module, a data preprocessing module, a risk assessment module and a result output module, the data acquisition module collects multi-source trade related data through a distributed crawler node cluster and transmits the multi-source trade related data to the data preprocessing module; the data preprocessing module performs abnormal value elimination and feature dimension reduction processing on the received original data and then transmits a standardized data set to the risk assessment module; the risk assessment module calculates a risk value based on a multi-dimensional index system and a mixed weighting algorithm and transmits an assessment result to the result output module; and the result output module displays the risk level and the index contribution degree distribution through an interactive visual interface. According to the technical trade barrier risk assessment method, accurate assessment, credible evidence storage and coping of technical trade barrier risks are realized by acquiring multi-source trade data, optimizing data quality, calculating risk values, storing evidence and performing early warning.

The invention provides a satellite image fuzzy query method and system based on multi-dimensional vectorization indexing, and relates to the technical field of satellite image retrieval, the method comprises the following steps: mapping a structured query condition generated based on natural language query into a three-dimensional hierarchical index condition structured database to retrieve and output three-dimensional index metadata; and after the three-dimensional index result set is loaded according to the three-dimensional index metadata, space-time interaction visual output for generating the three-dimensional index result set is carried out by taking dynamic weight distribution as a sorting basis. The technical problems that in the prior art, satellite image high-response query cannot be carried out based on user fuzzy expression, so that the satellite image data query and calling efficiency is low, and the query result practicability is insufficient are solved. The technical effects that full-link closed-loop retrieval driven by natural languages is achieved, query flexibility is improved through intelligent mapping, efficient positioning is guaranteed through multi-dimensional indexing, the accuracy of dynamic sorting optimization results is guaranteed, and interaction friendliness is visually enhanced are achieved.

A system for automated real-time publication processing may comprise a data collection module configured to automatically gather data from multiple external sources. A data analysis module may be configured to process the gathered data using artificial intelligence models. A data visualization module may be configured to generate interactive visual representations of the processed data. An update control module may be configured to automatically update published content and maintain version history with timestamps. The data collection module may utilize application programming interfaces and web scraping tools to gather data from government databases and real-time data feeds. The data analysis module may employ machine learning libraries to process and analyze the collected data. The data visualization module may use visualization tools to create interactive charts and graphs. The update control module may use Git-based version management and automated scheduling scripts to implement updates and record modification dates.

A multi-dimensional data processing system is disclosed for the automated ingestion, normalization, and computational mapping of project data across spatial, temporal, and regulatory dimensions. The system operates by ingesting diverse datasets—including two-dimensional schematics, three-dimensional data models, cost structures, and workforce logistics—and normalizing them within a unified schema. A dimensional calculations model enables the system to computationally align normalized data with spatial zones, project phases, and operational constraints, structuring it for further computational processing. By integrating this mapped data within a coordinated digital environment, the system applies task sequencing and resource allocation algorithms, generating optimized project plans that support complex, multi-dimensional data interoperability. The structured data is further configured for display through an interactive visualization interface, allowing computational resources to facilitate real-time analysis and adaptive data-driven project management.

A graphical, hierarchical document stream browser and environment for semantic (e.g. framing) and performance data analysis and interactive visualization integrates three scales: entities (competitive), entity (diachronic), and document (linguistic). The document level includes annotation and computational linguistics facilities; the entity level has calendrical and time-series focus. All levels emphasize deep linkage and network (i.e. connective / relational space) view of objects, with user-configurable connectivity. Large language model (LLM) integrations provide synthetic advisories, public opinions, reports, plot insights, comparisons; traditional natural language processing techniques and neural models are also employed. A smart plot system includes a “plot cart” and interpreter with an analysis snippet library. Graph structure may arise via adjustable blending or perceptual optimization of canned attribute-related distance functions or via link-induction query language with deep “semantic stored procedure” subexpressions, or feed into graph neural network-style inference for predictions. Most non-LLM ongoing computational load is client-side, using precomputed hierarchical summary files.

The invention discloses a three-dimensional visualization method, system and device based on heterogeneous spatial data fusion and dynamic sectioning, and a medium, belongs to the technical field of urban information model visualization, and aims to solve the technical problem of how to improve data fusion efficiency, sectioning response delay and mobile terminal frame rate in a million patch scene. Light-weight and high-interaction visual display of scenes such as smart cities and underground pipe galleries is realized, and the defects of multi-source spatial data splitting, high sectioning interaction delay and poor cross-terminal compatibility are overcome. According to the technical scheme, heterogeneous data dynamic normalization is carried out, wherein local coordinates of a building information model, WGS84 coordinates of a geographic information system and computer aided design data are unified to an Euclidean coordinate system through a space dynamic reference conversion algorithm, and normalized data are obtained; constructing a semantic data relation graph; generating a dynamic sectioning plane in real time; vector elements are highlighted in a linkage manner; and carrying out cross-terminal adaptive rendering.

The invention discloses a digital twin-driven intelligent construction site resource dynamic scheduling system and method, and belongs to the technical field of building construction management, and the system comprises a four-dimensional resource topology construction module which constructs a four-dimensional topological graph of construction resources based on UWB and RFID technologies; the mixed engine scheduling module adopts a mixed integer programming engine to generate a reference scheduling scheme in an initial stage, and adopts a reinforcement learning optimization engine to perform dynamic adjustment in an execution stage; the conflict prediction network module is used for establishing a conflict prediction model based on historical data and triggering a resource redistribution mechanism; the virtual interaction visualization module displays a scheduling scheme in a virtual reality environment and supports manual intervention, depth relation modeling, double-engine collaborative optimization and active conflict prevention of construction resources are achieved, the resource utilization rate is increased by 35% or above, the construction period is shortened by 15% or above, and conflict events are reduced by 50% or above.

Systems and methods are described to determine relationships between one or more components of an isolated execution environment system based on data obtained from a data intake and query system. Based on the determined relationships, an interactive visualization is generated that indicates the hierarchical relationship of the components. In some cases, to illustrate the relationship between components of the isolated execution environment system, the visualization can include one or more display objects displayed in a subordinate or superior relationship to other display objects. In certain cases, based on an interaction with a display object, the system can generate a query and / or display additional information and / or visualizations based on the results of the query.

The invention relates to the technical field of big data processing, in particular to a multi-source data fusion generation method for a diabetic foot health status assessment report, which comprises the following steps of: firstly, converging and preprocessing multi-modal heterogeneous data from wearable equipment, clinical input and historical records; the method comprises the following steps of: firstly, extracting data by using an attention mechanism-based deep learning network, then extracting deep correlation features among the data by using an attention mechanism-based deep learning network, then analyzing fusion features through a mixed decision engine combining rule reasoning and a machine learning model, generating structured risk assessment tags, and finally, dynamically calling parameterized templates by a system according to the tags, thereby realizing risk assessment. And a natural language generation technology is utilized to output an interactive visual evaluation report capable of performing personalized rendering according to a user role. According to the method, multi-source data can be automatically fused, deep analysis is carried out, a personalized, dynamic and interactive report is generated, and original and isolated monitoring data is converted into intelligent insight capable of guiding clinical actions.

A graphical, hierarchical document stream browser and environment for semantic (e.g. framing) and performance data analysis and interactive visualization integrates three scales: entities (competitive), entity (diachronic), and document (linguistic). The document level includes annotation and computational linguistics facilities; the entity level has calendrical and time-series focus. All levels emphasize deep linkage and network (i.e. connective / relational space) view of objects, with user-configurable connectivity. Large language model (LLM) integrations provide synthetic advisories, public opinions, reports, plot insights, comparisons; traditional natural language processing techniques and neural models are also employed. A smart plot system includes a “plot cart” and interpreter with an analysis snippet library. Graph structure may arise via adjustable blending or perceptual optimization of canned attribute-related distance functions or via link-induction query language with deep “semantic stored procedure” subexpressions, or feed into graph neural network-style inference for predictions. Most non-LLM ongoing computational load is client-side, using precomputed hierarchical summary files.

The invention discloses a power transmission line icing dynamic visualization method, system and device based on a three-dimensional GIM model, and a medium, and the method comprises the steps: building a GIM model based on unmanned plane laser point cloud data, carrying out the precise digitalization of the geometric structure of a power transmission line through a multi-level filtering and feature extraction algorithm, and enabling the model precision to reach the centimeter level; a complete icing state evaluation system is formed through integration of multi-source icing data fusion and intelligent feature extraction, and an icing prediction function is realized; according to the three-dimensional dynamic physical simulation technology based on the catenary theory, traditional two-dimensional calculation is creatively expanded to a three-dimensional space, uneven distribution of icing and wind load time-varying characteristics are considered, and real physical expression of the icing state of the wire is achieved; and dynamic presentation and deep data mining of the icing process are realized through time axis dynamic demonstration and a multi-dimensional interactive visualization technology. Through organic combination of the above schemes, the modeling precision, the data processing capability, the physical simulation and the interactive experience are improved compared with a traditional method.

Approaches are described for facilitating remote ophthalmic examinations using three-dimensional (3D) imaging and mixed reality technology. A system obtains real-time or stored 3D data of a patient's eye, capturing detailed anatomical structures. The system analyzes the 3D data to identify specific regions of the eye, such as the cornea or retina, and retrieves corresponding diagnostic data and patient-specific clinical information. The 3D data, diagnostic metrics, and clinical records are integrated to generate an interactive visualization, which is presented through a mixed reality interface. The system allows healthcare professionals to manipulate diagnostic overlays, investigate flagged abnormalities, and adjust the visualization using gesture-based inputs. Machine learning models may be applied to detect potential abnormalities in the eye, while the system also determines stages of the examination based on changes in the anatomical structure of the eye.

The invention relates to a report processing method and device, computer equipment, a storage medium and a program product. The method comprises the following steps: constructing and deploying a configuration table system in a business database, wherein the system comprises a job configuration table, a job dependency table, a report parameter table and a front-end display configuration table; and performing semantic analysis on the historical task logs of the batch jobs recorded in the job configuration table through the large language model, and outputting a dynamic scheduling strategy which is used for adjusting the initial execution frequency and the resource allocation quantity of the batch jobs in the job configuration table. By identifying entity information in a user service query instruction and matching an optimal chart type, accurate conversion from a database field to a front-end display field is completed in combination with a front-end display configuration table. And finally, an interactive visual chart is generated. By adopting the method, the data change rule can be intelligently analyzed, the business decision-making efficiency is improved, and meanwhile, the comprehensive cost of report development, operation and maintenance is effectively reduced.

The embodiment of the application discloses a rule engine interactive visual construction method and a computer readable medium; the construction method comprises the following steps: constructing a metadata structure of a rule engine table; constructing a one-to-one reversible mapping relationship between the rule engine table and an SQL statement; constructing a one-to-one reversible mapping relationship between the rule engine table and a CQL statement; taking the constructed rule engine table as a bridge, and performing interactive configuration through a visual interface of a rule engine front end, and performing mutual conversion of the SQL statement and the CQL statement. The construction method can more conveniently and effectively perform subsequent analysis based on table data, and also provides a basis for interactive configuration of a webpage end; the interactive configuration provides a table field set, and enables a business personnel to select in a check manner, and the field set displayed to the personnel can also be controlled according to permissions. The method has the beneficial technical effects of simplifying operation difficulty, standardizing code format and flexibly controlling permissions.