328results about "Structured data browsing" patented technology

The invention relates to a system (100) for generating real-time causal reasoning insights in real time. The system (100) comprises a global causal graph creation module (101), a natural language query processing module (102), an information extraction module (103), a query-centric subgraph generation module (104), and an adaptive causal reasoning engine (105). The queries from users are processed to identify relevant causal relationships in the global causal graph. The adaptive causal reasoning engine (105) refines the insights iteratively based on user feedback, improving accuracy. The system (100) converts technical insights into structured narratives. A visualization module presents causal relationships through graphs and charts. The feedback mechanism allows users to correct errors and adjust outputs, facilitating user-driven data analysis and causal reasoning, delivering actionable insights for a variety of applications.

The present disclosure provides a sheet data processing method, a computer device, and a storage medium. The method includes: obtaining input data in a sheet, and determining at least one calculation formula affected by the input data; determining basic data corresponding to the calculation formula according to a node backend service, and writing the input data and the basic data into a calculation engine; determining a data list affected by the calculation formula by using the node backend service, and passing the calculation formula to the calculation engine to calculate the data list, to generate a calculation result; determining, according to the calculation result, a data item in the data list that changes after the calculation, and performing data updating on the data item; and displaying an updated data list in the sheet.

A system facilitates a process for automatically deploying artificial intelligence (AI) models. The system receives, for a first artificial intelligence (AI) model used by an entity, a first request to deploy the first AI model to make the first AI model available for use in a production environment to process input data and generate corresponding outputs. A first model deployment location for the first model is selected based on a model deployment engine. The system generates scripts to deploy the first AI model to the selected location, then monitors operations parameters associated with the deployment of the first AI model. Based on the values of the operations parameters, the system updates the model deployment engine. In response to a second request to deploy a second AI model, the system uses the updated model deployment engine to select a second model deployment location for the second model.

The application provides a kind of dynamic carbon accounting system and method for manufacturing enterprises, the system includes: carbon data information flow module, for the production activity data of enterprise is abstracted as digital model according to different levels, and the material category that meets the logic of carbon emission accounting different range is generated by classification;Inspection and testing management module, for fossil fuel inspection and testing data is classified and managed according to fuel form;Thermal process parameter management module, for thermal process parameters are classified according to preset categories;Carbon accounting model convenient building module, for manufacturing whole process is decomposed into multiple independent accounting units, each independent accounting unit is associated with thermal process parameters and material category for batch label management;Multi-level automatic accounting module, for each independent accounting unit is managed by accounting rule, and accounting result is generated based on independent accounting unit.The application can solve the problem of data management confusion in carbon emission accounting.

Disclosed herein are systems and method for using machine learning to generate / provide supplemental information material for a presentation. In an aspect, presentation material associated with the presentation is analyzed using a knowledge model to identify one or more elements in the presentation material, the one or more elements being associated with one or more concepts related to the presentation and / or related to a specific knowledge area of the knowledge model. For each element of the one or more elements, supplemental information material related to a concept associated with that element is created. A table that links each element of the one or more elements with corresponding supplemental information material is generated. The table links each element in the one or more elements with a position of that element in the presentation material.

The application provides a water-energy-food three-dimensional coupling circulation simulation method and device, a storage medium and equipment. Water-energy-food consumption data of multiple industries and input-output data of multiple regions are obtained, an extended multi-regional input-output table is constructed according to the water-energy-food consumption data and the input-output data, the extended multi-regional input-output table is converted into a physical quantity input-output table of input-output data of water resources, energy and food based on a preset ecological element coefficient conversion matrix, and a water-energy-food three-dimensional coupling circulation simulation model is constructed according to the physical quantity input-output table. The water-energy-food three-dimensional coupling circulation simulation model takes an industry or a region as a node, each node includes water resource elements, energy elements and food elements, and connections are established between the nodes according to the input and output of water-energy-food resources. The water-energy-food three-dimensional coupling circulation simulation model is used to realize simulation of water-energy-food three-dimensional coupling circulation and monitoring of water-energy-food resource use information, and the accuracy of water-energy-food circulation simulation and monitoring is improved.

A comparative editing workflow streamlines drafting by leveraging structured datapoints extracted from multiple matters. After generating normalized values and citations for a current and a prior document set, the system may display the datapoints side by side so differences are apparent. When a user clicks a datapoint in the current matter, a drop down list of candidate values may be dynamically populated from the prior matter and allowable categories; the user may select one of these values or enter a custom value. The platform may locate all instances of the datapoint in the current documents using stored citations and automatically replace them with the chosen value, update the structured record, reextract dependent fields where necessary and preserve version histories. The updated document and datapoints may then be presented for review.

This invention relates to the field of fair value assessment technology, specifically to an intelligent method and system for assessing the fair value of data assets by integrating multi-dimensional features. It solves the problems of existing methods for assessing the fair value of data assets, which cannot process data according to its source, thus affecting assessment quality, and are also inconvenient for selecting key features during value assessment. The system includes a data acquisition module, a data preprocessing module, a feature vector extraction module, a model evaluation module, and an application demonstration module. The data acquisition module is used to capture raw data from multi-dimensional data sources related to the data asset and input it uniformly. The data preprocessing module is used to clean, transform, and standardize the input raw data. This invention achieves a more accurate, efficient, and comprehensive assessment of the value of data assets through technological integration and multi-dimensional analysis.

Systems and methods include interpreting a first user input from a first user, the first user input comprising a text flow entry, interpreting a second user input from the first user, the second user input comprising at least one of: an in-line data access entry or a table-based calculation entry, positioning a text entry value on a unified document surface in response to the first user input, creating at least one data structure in response to the second user input, the at least one data structure comprising data from an external data source, the external data source being external to the unified document surface, and positioning the at least one data structure on the unified document surface.

The application discloses a kind of based on radar chart's hole making quality evaluation method, system and storage medium, belong to the technical field of hole making quality evaluation, determine N features data of influencing hole making quality, and corresponding N-dimensional radar chart is drawn as radar chart evaluation model;Obtain the feature data of hole making, adopt box plot method to correct.Based on the feature data after correction, draw closed radar chart;The area of the radar chart drawn is calculated, and the quality of hole making is measured based on the size of area;If N feature data is all negatively correlated with the quality of hole making, then the smaller the area of the radar chart drawn, the higher the quality of hole making;If N feature data is all positively correlated with the quality of hole making, then the larger the area of the radar chart drawn, the higher the quality of hole making.The application realizes multidimensional feature correlation evaluation, avoids the difference caused by subjective evaluation, intuitively compares the quality of hole making by radar chart area, quickly locates the advantages and disadvantages of hole making quality, with good practicability.

This application discloses a low-altitude defense platform deployment system and method. The system includes: a data acquisition module for acquiring relevant data of the defense area and information on available platforms; a capability quantification module for uniformly quantifying the capability parameters of each platform to obtain standardized capability descriptions; an AI agent search module, comprising multiple parallel-working AI agents and a shared memory area; each AI agent iteratively executes the generation of candidate deployment schemes, calculation of constraint violations, and evaluation of comprehensive performance scores, and updates the locally optimal deployment scheme based on the evaluation results, exchanging scheme information through the shared memory area to guide subsequent searches; and a scheme determination module for determining the globally optimal deployment scheme when termination conditions are met. This application improves the comprehensive protection effectiveness and planning efficiency of heterogeneous defense platform deployment schemes through capability quantification and multi-agent parallel collaborative search, achieving automated global optimization deployment under complex constraints.

Embodiments are directed to managing visualizations of data. Candidate data fields from a data source may be determined based on a search expression. The candidate data fields may be displayed in a model panel. A working data model may be generated based on a portion of the candidate data fields such that some of the candidate data fields may be included in the working data model. A visualization may be determined based on a recommended model and a working data model such that some of the visualization may be determined based on shared data fields that may be included in the working data model and the visualization. A working visualization may be determined based on a visualization and the working data model listed in a display panel such that data fields included in the working data model may be associated with the working visualization.

A data mining method includes extracting a main character column of a data table of a data sheet; determining an evaluation measurement value of the data table according to a variance and an outlier ratio of the main character column of the data table; and determining a data mining value of the data table according to the evaluation measurement value of the data table.

This application discloses an antenna beam visualization intelligent interactive display method and system, belonging to the interdisciplinary field of communication antenna marketing and intelligent visualization technology. The system adopts a three-layer architecture: infrastructure layer, core technology layer, and application display layer. The core technology layer integrates five major modules, including beam visualization and digital twin scene construction. It achieves precise beam visualization through technologies such as cone parametric modeling, scene editing, and skeleton binding animation. Combined with multimodal AI interaction and a structured knowledge base, it realizes a closed loop of technical parameters, scene effects, and intelligent interaction. This solves the problems of abstract beam effects and lack of scene linkage in traditional antenna marketing, improves customer cognitive efficiency, reduces marketing reliance on professional personnel, and supports global market expansion.

The application relates to a smart railway management system based on supply chain data. The system comprises a data acquisition module for acquiring supply chain data from multiple data sources; a data integration and processing module for converting the supply chain data into structured data after data cleaning, format conversion and missing value completion processing; a transportation optimization module for determining a train scheduling plan, a transportation path planning scheme and a transportation resource allocation scheme through a preset optimization algorithm; a prediction analysis module for predicting freight transportation demand and transportation risk events through a pre-trained machine learning model and outputting early warning information; a real-time scheduling module for updating a train operation plan, a freight loading and unloading sequence and a work personnel configuration and issuing control instructions to an external control device; and a visualization and reporting module. The system can reduce the resource consumption of railway transportation operation.

This invention relates to the field of coal yard pollution monitoring technology and discloses a collaborative monitoring and intelligent control system for pollution inside and outside a coal yard, comprising: a monitoring module for setting several external monitoring areas of the coal yard and real-time first monitoring data; an association module for performing association analysis on each first monitoring data point of each external monitoring area of ​​the coal yard with several second monitoring data points inside the coal yard, and generating several data-association mapping tables based on the analysis results; a prediction module for determining the comprehensive influence coefficient of each second monitoring data point based on the data-association mapping tables, identifying several pollution sources, and constructing a pollution pattern prediction model based on the pollution sources and the corresponding data-association mapping tables; and a control module for determining predicted pollution parameters for future periods based on the pollution pattern prediction model and the several second monitoring data points, generating an optimal control strategy based on the predicted pollution parameters, thereby improving monitoring efficiency and control efficiency.

The present application belongs to the technical field of medical data governance, and provides an electronic medical record data governance method and device for children with epilepsy. The method can acquire electronic medical record data from multiple heterogeneous data sources, construct multiple keyword dictionaries related to epilepsy for identifying and extracting information, thereby governing data from each data source through the keyword dictionaries, further generating structured data for clinical analysis of epilepsy, and displaying the epilepsy-related data of the patient in the form of a visualized graph based on the structured data. The scheme proposed in the present application converts the original electronic medical record data, which is scattered, chaotic and difficult to directly utilize, into structured data that is centralized, regularized and directly usable for clinical analysis and decision-making of children with epilepsy, solves the pain point of difficulty in integrating and converting medical data, improves the intuitiveness and efficiency of epilepsy diagnosis and treatment through visual means and provides strong data support, and can also provide analyzable and high-quality data for scientific research.

The application belongs to the field of intelligent service platform construction, and discloses a kind of intelligent one-stop service platform construction method based on data fusion.The method constructs four-layer architecture of data layer, fusion layer, service layer and application layer;Through unified access gateway, multi-source data is collected and stored hierarchically;Using configurable workflow engine, first-level cleaning standardization, second-level feature semantic alignment and third-level deep fusion processing are executed in turn, wherein multi-task learning model is used for joint training of aligned features in third-level fusion, and fusion knowledge graph is generated to mine hidden associations;Based on the fusion knowledge, business and intelligent services are packaged, and a service resource pool is constructed;Finally, personalized one-stop services are provided through a unified portal.The application converts multi-source data into structured knowledge through progressive deep fusion, solving the problem of insufficient shallow fusion and association mining of traditional platforms.

The application discloses a kind of microcosmic traffic simulation data's map engine adaptation conversion method and system, it is related to traffic simulation technical field.The method includes: extracting road section information and lane information from simulation road network file;According to road section information, judge road section nature, according to road section information and road section nature, construct independent attribute set for each road;Based on driving lane line shape and lane width, generate driving lane surface file for each road, the independent attribute set constructed is used as the attribute of corresponding driving lane surface file;Parallel offset is carried out to driving lane line shape, form emergency lane surface file;Driving lane surface file and emergency lane surface file are carried out gap correction;According to independent attribute set, establish style rule library, judge the required lane type, realize automatic marking line adaptation according to lane type, generate lane line file;Lane line file, corrected driving lane surface file and emergency lane surface file are loaded to geographic information service software.

The system according to this embodiment aims to enable users to select an appropriate business framework and utilize it effectively. [Solution] The system according to the embodiment comprises an analysis unit, a selection unit, an analysis unit, and a provision unit. The analysis unit analyzes keywords entered by the user. The selection unit selects an appropriate business framework based on the keywords analyzed by the analysis unit. The analysis unit performs analysis based on the business framework selected by the selection unit. The provision unit provides the analysis results obtained by the analysis unit.

The present application relates to the technical field of data processing, and more particularly to a tsunami disaster risk assessment method and system based on cloud computing and a medium. The method comprises the following steps: accessing and converging data of an earthquake monitoring system, a satellite remote sensing system, a tide level monitoring device and a historical tsunami event library to obtain a multi-source heterogeneous tsunami original data set; performing format standardization, time synchronization and semantic annotation processing on the multi-source heterogeneous tsunami original data set to obtain a unified data model; establishing and registering a data service interface based on the unified data model to obtain a data service set; and calling the data service set to obtain tsunami propagation simulation input data. Through multi-source data standardization and semantic fusion, cloud computing parallel processing, multi-dimensional index analysis and dynamic visual display, the present application realizes efficient, accurate, real-time and operable comprehensive management of tsunami disaster risk assessment.

The application provides a data processing method, device and server of a distributed cloud platform, and relates to the technical field of distributed cloud computing. The method comprises the following steps: obtaining a power station operation data viewing request; determining a corresponding user time zone and target operation data of a corresponding target power station based on the power station operation data viewing request; the user time zone is used to represent the time zone where the user is located; the target operation data comprises first timestamp information of a server time zone; the power station time zone is the local time zone of the target power station; generating corresponding operation display data according to the first timestamp information, the user time zone and the target operation data; the operation display data at least comprises third timestamp information corresponding to the user time zone; and sending the operation display data to a user equipment to enable the user equipment to display the operation display data. The method improves the data statistical accuracy of the distributed cloud platform.

This invention provides a method and system for biodiversity analysis combining neural networks and knowledge graphs in the field of biodiversity analysis technology. The method includes: Step S1, creating a biological knowledge extraction model; Step S2, acquiring a large amount of historical biological data to construct a dataset and training the biological knowledge extraction model; Step S3, extracting named entities, entity relationships, and multimodal information from the latest biological data using the biological knowledge extraction model to construct structured triples; Step S4, defining an ecological ontology and converting the ecological ontology and structured triples into knowledge representations; Step S5, constructing a knowledge graph based on the knowledge representations and defining logical rules for biodiversity analysis; Step S6, obtaining biodiversity analysis results through analysis and reasoning using the knowledge graph and logical rules. The advantage of this invention is that it greatly improves the accuracy of biodiversity analysis.

The application provides a steel coil comprehensive quality grade thermodynamic map generation method and system based on a rule judgment model. The method and system first receive real-time production line iron loss data, appearance grade data, edge loss data and steel coil specifications. Then, based on predefined rules, the iron loss grade and appearance grade classification are determined. The comprehensive quality grade judgment result of each area of the steel coil is obtained by combining the two dimensions of iron loss and appearance grade. Finally, a thermodynamic map is generated with the comprehensive quality grade as the parameter, and the steel coil comprehensive pass rate is calculated, realizing the quantitative evaluation of the overall quality of the steel coil. By using the segmented and layered, multi-dimensional judgment method, the application not only improves the accuracy, fineness and efficiency of the steel coil quality evaluation, but also intuitively displays the comprehensive quality distribution of the steel coil, which helps to analyze the production quality fluctuation, optimize the product quality, provide guidance for subsequent processing, reduce the judgment scrap rate and reduce material waste.

The application provides a kind of kinship determination method and controller, applied to data mining technical field, method includes: obtaining basic relationship information, wherein, the basic relationship information includes the relationship information of oneself and target relative;According to the basic relationship information, matching is carried out in matching library, and matching result is obtained;When the matching result is success, first relationship result matched with the basic relationship information is obtained, and the first relationship result includes the kinship of oneself and the target relative;When the matching result is failure, second relationship result is obtained according to the basic relationship information by generation difference calculation or relationship weight calculation;According to the second relationship result, analysis is carried out to determine the kinship of oneself and the target relative according to the analysis result.The application can determine the kinship of oneself and the target relative by matching or calculating based on basic relationship information, and can improve the efficiency of kinship determination.

This invention discloses a method for statistical accounting of carbon emissions throughout the entire life cycle of highways, belonging to the field of carbon emission accounting technology. The method includes: dividing the entire life cycle of a highway into multiple stages and dynamically defining the accounting boundaries of each stage based on spatiotemporal dimensions; setting carbon emission accounting indicators for all types and collecting multimodal data corresponding to each stage; building a hierarchical computing architecture based on edge-cloud collaborative technology to calculate the carbon emissions of each stage, and using a virtual highway model that can learn and update online to verify the carbon emission accounting results; and drawing a carbon footprint heatmap based on the carbon emission accounting results to display the spatiotemporal evolution process. This invention covers the construction, operation, and demolition stages of the entire highway life cycle, ensuring the comprehensiveness and systematic nature of the accounting results; employing multiple data sources and collection methods, combined with corresponding accounting methods, ensures the accuracy and reliability of the accounting results, providing a scientific basis for the low-carbon construction and operation of highways.

The embodiment of the application provides a kind of data visualization method and device, apply in big data technical field, including: for any view, the view identification of view, the label name of view and the target script of view are set;View is used to carry out data visualization display;Based on target script, target data is obtained from external data source, and label name and the field value of each field of target data under uniform data model are set for target data;Label name is used to establish the corresponding relationship between target data and view;Target data, label name and the field value of each field of target data under uniform data model are stored in target database;Wherein, uniform data model has each general field and each unique field determined according to each visualization type.Back end sends the data format of uniform target data to front end through an interface, and front end obtains the data format of uniform target data through an interface, so that the interface of front end and back end is not easy to make mistake when docking.

The application relates to an intelligent analysis method and system for a hydroelectric generating set and a medium, the method comprising the following steps: a data source adopts a displacement reporting mode to upload hydroelectric generating set data to a server, the server collects data based on an IEC61850 protocol; specific trigger conditions are designed, an eventBus message bus is used to trigger test analysis message pushing monitoring of change events of key operation state signals of the hydroelectric generating set; when the trigger conditions are met, the eventBus pushes analysis trigger messages containing event types and time stamps, and the system immediately starts a corresponding special test analysis process to immediately analyze multi-dimensional operation data in an associated time window. The application not only realizes immediate analysis and processing of test data, but also establishes a complete traceable data chain through a persistent storage technology, effectively improving the intelligent level of power equipment state monitoring and the timeliness of data analysis.

The application discloses a user dynamic activity degree calculation method, device and system based on ETC data, and belongs to the technical field of data analysis. The method comprises the following steps: obtaining toll data and associated consumption data corresponding to a unique identifier of a user under an ETC account of the user; aligning the two in time and space through a preset time-space correlation condition, constructing a toll-consumption event chain, and calculating a current dynamic activity degree value of a geographic node based on a time-space decay dynamic weight model; dividing the activity degree into levels according to double thresholds, rendering the levels in a differentiated visual style, and superimposing a consumption feature icon to realize visual dynamic updating. The application breaks through the limitation of single-dimensional analysis, integrates toll and consumption data, realizes accurate quantification of the activity degree through a time-space decay model, intuitively presents user behavior characteristics, improves the application value of ETC data, and provides data support for expressway operation analysis, high-activity-degree area identification and accurate decision-making.

Computer-based data access, integration, management, and presentation are provided. A data processing apparatus connects a computing device to each of a plurality of data sources. A first GUI is accessible to the computing device. The first graphical user interface(s) can display information associated with each of the plurality of data sources and selectable controls for defining a domain. The data processing apparatus can provide the domain and corresponding virtual datasets in accordance with the data definitions, without copying or moving data. A second GUI can be provided for access to the virtual datasets, and an integrated development environment. Furthermore, the data processing apparatus can provide at least one third GUI accessible to each of a plurality of computing devices, in which the third GUI can present the virtual datasets in at least one graphical format.