109results about "Other databases browsing/visualisation" patented technology

A system may include a data classification module configured to classify data into classified data based on predefined sensitivity levels and regulatory compliance requirements. A system may include an access control module configured to manage permissions for different user roles within an enterprise, granting access to the classified data in accordance with the sensitivity levels and regulatory compliance requirements. A system may include a data formatting module configured to format classified data into formatted data with customized presentations for various enterprise departments. A system may include an integration module configured to interface with at least one of an Enterprise Resource Planning (ERP) system or a Customer Relationship Management (CRM) system to retrieve and classify the data. A system may include a user interface module configured to present the formatted data within the host application, providing a seamless user experience for accessing the embedded marketplace.

We provide the system. [Solution] A means for receiving requests in natural language from users and performing semantic analysis on those requests, A means for searching a spatial information database based on generated search conditions and generating search results, A means for transmitting the aforementioned search results to the user's terminal, suggesting them in a visually displayable format, and making them interactively operable, A means of guiding users to their destination using visualized spatial information based on their choices, A system that includes this.

The application discloses a time capsule expression structure reservation method based on deep learning and a knowledge graph, and aims at solving the problems that the expression and organization structure of a user's sealed multi-modal content in a digital time capsule service is difficult to be identified and recorded, and the display according to the uploading time or the fixed template of the media type in the opening stage is easy to cause the distortion of the expression intention and the fragmentation of the receiving experience. The multi-modal content input in the sealing stage is normalized and time-aligned, the content representation is obtained by using multi-modal hierarchical coding, the segmentation boundary and hierarchical relationship are determined and the key weight and object information are extracted by combining span boundary detection and a pointer network, the narrative rhythm parameters are obtained by using a neural time point process modeling based on a media switching event sequence, a timing knowledge graph is fused and constructed, and the arrangement sequence and the presentation control parameters are generated under the sequence constraint and the segmentation continuous constraint by graph representation learning, and the presentation data for the display in the opening stage is generated, so that the technical effects of reserving the user's expression structure and rhythm and differentially arranging and presenting in the future are realized.

The application discloses an industrial plant structure scheme engineering cost comparison and measurement method, and belongs to the technical field of building engineering cost management; the application comprises target industrial plant alternative structure schemes to be compared, collects building information model design data corresponding to each set of alternative structure schemes, and collects core feature data of the corresponding industrial plant; component analysis processing is performed on the building information model design data of each set of alternative structure schemes, automatic analysis of engineering quantity is performed, and sub-item engineering quantity detail data corresponding to each set of alternative structure schemes is generated; according to the application, engineering quantity calculation error is reduced from 5-8% in a traditional method to 1-2% through automatic extraction of BIM model data, measurement reliability is greatly improved, whole life cycle cost analysis covers whole-process economy evaluation from construction to operation, and long-term operation burden caused by short-term cost optimization is avoided.

The application provides a research and development project cost and progress visualization method and system, the method comprises the following steps: obtaining task progress data and generating task progress records, obtaining cost data and generating cost records; based on the task progress records and the cost records, a plurality of task nodes and a plurality of cost nodes are constructed, and a final effective cost node is selected from the plurality of cost nodes; a connection edge is constructed between the task nodes and the final effective cost node, the task nodes are given a health degree score through the final effective cost node, and the task nodes are given a color attribute based on the health degree score to form a final visualization management table. The determination of the association relationship between the task nodes and the final effective cost node establishes a dynamic and real-time corresponding relationship between the cost and the progress; the health degree score converts the association relationship into a quantitative index, and the association analysis result is converted into the final visualization management table which is intuitive and can be quickly interpreted through the giving of the color attribute.

The present disclosure provides a data processing method, apparatus and device and a storage medium. The method comprises: displaying a recommended content adjustment page of a target application, and displaying at least one content type tag on the recommended content adjustment page; in response to a trigger operation for an adjustment entry of a target content type tag in the at least one content type tag, displaying an adjustment panel corresponding to the target content type tag on the recommended content adjustment page; and in response to a selection operation for a target recommendation intensity level in the plurality of recommendation intensity levels, establishing a corresponding relationship between the target content type tag and the target recommendation intensity level which is used for adjusting the recommendation amount of the target application for the content type corresponding to the target content type tag.

This invention discloses a tunnel ventilation control method, equipment, and medium based on environmental prediction, relating to the field of environmental management technology. The method includes: collecting and preprocessing environmental data; generating a pollutant heat map based on a pre-trained pollutant diffusion model; overlaying personnel distribution data with the pollutant heat map and determining the tangential direction of the personnel avoidance path as the airflow direction for evacuation guidance, generating evacuation wind direction data; extracting the speed combination and deflection angle of the tunnel ventilation fan from the evacuation wind direction data and outputting a fan control command set; monitoring the pollutant concentration values ​​in each tunnel ventilation area in real time after directional airflow guidance using a smoke concentration sensor; and comparing the predicted concentration values ​​in the pollutant heat map with the actual pollutant concentration values ​​to verify the tunnel ventilation control effect. This invention achieves environmental prediction and airflow guidance correction in the tunnel ventilation control process through the synergy of pollutant heat map generation and evacuation wind direction data generation.

This application relates to the technical field of data visualization technology, specifically to a data center visualization management method, device, and medium based on digital twin technology. The method includes: identifying various views of the layout design diagram of the target data center to obtain a main view; identifying the equipment graphics included in the main view to obtain equipment layout-related information, including the installation location and orientation of each IT infrastructure element; generating a corresponding visualized data center based on the equipment layout-related information and a pre-set equipment model library; acquiring equipment data from the target data center and associating the equipment data with the visualized data center to obtain a visualized data center monitoring interface. This solves the problem of enabling users to view and maintain the data center and its internal equipment through visualization.

The application provides a knowledge graph-based user portrait generation method and device and a storage medium. The method comprises the following steps: performing event causal correlation identification on a continuously collected user behavior record sequence to generate a user behavior causal event pair set; performing entity relationship extraction on the set to generate a triple set; further generating a user behavior knowledge graph; performing multi-hop relationship propagation calculation on the user behavior knowledge graph; fusing multi-order neighbor feature information of each entity to generate an entity embedding vector set; performing path mining on the entity embedding vector set through a preset causal reasoning model to identify potential causal conduction paths between different behavior entities; calculating influence weight coefficients between behavior patterns and result states based on the potential causal conduction paths; generating user behavior causal correlation features; fusing the user behavior causal correlation features with the entity embedding vector set to generate user behavior pattern classification results; and generating a user portrait label system. The application improves the depth and application value of the user portrait.

This invention relates to the field of data processing and discloses a method, apparatus, computer device, and readable storage medium for generating Gantt charts. The method includes: acquiring user stories of the iterative process of a target task; determining the iteration data corresponding to each user story; determining the cycle of each task and the task completion progress of each target task subject, thereby obtaining the individual work status of each target task subject; and finally, generating a Gantt chart based on the iteration tag, cycle, task completion progress, iteration plan start time, iteration plan end time, and each target task subject. Based on this, the present invention enables the Gantt chart to display the work status of different target task subjects under the same target task, and to reflect the overlap of R&D resources / development resources in the development process of the target task, thereby clearly displaying the development progress of the target task.

The application discloses a concealed engineering dynamic traceability supervision method based on BIM and AI, comprising the following steps: S1, multi-source heterogeneous data dynamic perception and fusion modeling; S2, abnormal intelligent diagnosis and bidirectional traceability reasoning based on an AI large model; S3, dynamic supervision form generation and trusted storage. Compared with the prior art, the application realizes the transparency of the concealed process by fusing BIM and real-time data; the real-time data are analyzed by using an AI large model, so that passive inspection is changed into active early warning; the reverse reasoning engine can quickly locate the problem source; dynamic form self-adaptive generation avoids inspection item omission, data automatic association reduces human errors, and the combination of blockchain storage ensures the authenticity, integrity and legal effect of the supervision record. The whole-process data is stored in a structured manner, thereby providing a high-value digital foundation for engineering delivery, later operation and maintenance and even building whole-life cycle management.

This invention discloses an AI interaction system and method with multi-window task splitting and real-time task response. By designing multiple independent AI dialogue input windows, each pre-bound with specific functional instructions (such as analysis or memorization), the system can directly trigger the corresponding function after the user inputs task content, achieving synchronous execution of input and instructions, eliminating the redundant steps of the traditional "input-select instruction-execution" process. The multiple AI dialogue input windows are functionally independent and support parallel operation, avoiding task conflicts and significantly improving multi-task processing efficiency. Clear window function binding reduces the risk of errors in semantic ambiguity parsing, ensuring the accuracy of task execution. This invention overcomes the limitations of existing single-window multi-instruction interaction modes, achieving significant improvements in operational efficiency, interactive experience, task accuracy, and flexibility.

The application discloses a pre-examination abnormal registration group detection method based on a community discovery algorithm. A graph structure for representing the association relationship between examinees is constructed, then the examinees are divided into communities or non-community individuals based on the graph structure, and then the graph structure is subjected to message passing to generate the embedded representation corresponding to the examinees, and whether there is a risk is predicted according to the embedded representation corresponding to the examinees, so as to determine the confidence degree corresponding to the examinees and the preset label, and then generate a risk score for the examinees. Then, the high-risk examinee characteristics are counted based on the risk score, so that the high-risk label marking and dyeing of the high-risk examinee nodes are performed, and the label propagation of the high-risk label in the graph structure is performed. Through the method, the risk characteristics can be counted, the risk label can be marked and propagated based on the graph structure, so that the examinee group that may have risks can be determined in a big data manner before the examination, and the efficiency and accuracy of the risk prediction of the examinees before the examination are improved.

The electronic device comprises a memory storing instructions, a communication circuit connected to an AI server, and at least one processor including processing circuitry. The instructions, when executed individually or collectively by the at least one processor, instruct the electronic device to: upon receiving a first user input requesting an AI model for controlling the electronic device, obtain a user profile related to a usage history of the electronic device, generate a first prompt on the basis of the user profile, transmit the first prompt and the user profile to the AI server via the communication circuit, and receive a first AI model corresponding to the first prompt from the AI server via the communication circuit; and upon receiving a second user input requesting an AI model for controlling a target folder, obtain target folder information related to at least one application included in the target folder, generate a second prompt on the basis of the target folder information, transmit the second prompt and the target folder information to the AI server via the communication circuit, receive a second AI model corresponding to the second prompt from the AI server via the communication circuit, and store the first AI model and the second AI model in the memory.

The present invention provides a favorites processing method and apparatus, device and storage medium, first, a target media resource corresponding to a target user is displayed on a first page, and the target media resource is a multimedia resource that is registered as a favorite (S101), and in response to a favorites group trigger operation on the first page, at least one favorites group is displayed on the first page based on the target media resource corresponding to the target user, and the favorites group includes at least one target media resource, and the favorites group is obtained by performing content analysis on the target media resource using a content analysis model and then aggregating the target media resource based on the content analysis results (S102).

Embodiments of the present disclosure relate to an information presentation method and an apparatus, a device, and a medium. The method includes the steps described below. Collection information of at least one collection is acquired. The collection information includes title information of each collection and attribute information of multiple entities in the each collection. Attribute information of each entity matches the title information of the each collection. All or part of the collection information of the at least one collection is presented.

We provide the system. [Solution] Means for collecting network information, Means for analyzing the network information and generating interpretive information, A means for generating data that visually represents the scope of the impact of the setting change based on the interpretation information, Means for presenting the visual data on a user interface, Means for enabling operation of the user interface on a mobile device, A system that includes this.

The application relates to a method for constructing a knowledge graph in the field of integrated sensing and computing. The method comprises the following steps: firstly, obtaining PDF and Word data sources from papers, standards and industry libraries, and generating a pretreatment data set through analysis and cleaning; secondly, constructing a domain ontology layer with integrated sensing and computing as the root from top to bottom, and synchronously building a professional term library and a synonym dictionary; then, based on the ontology and the term system, high-confidence entities are screened through entity boundary probability and term weight, and high-reliability entity pairs are obtained through position / type filtering and relationship strength quantification; the high-reliability entity pairs and the pretreatment data are input into a large model to extract initial triples by using a prompt word template; standardized triples are obtained by fusing multiple source entities through comprehensive similarity; finally, the standardized triples are imported into a graph database, mapped into nodes / edges and visually displayed, and the problems of semantic unification and accurate association of cross-domain knowledge are solved.

The application relates to an information recommendation method and device, computer equipment and a storage medium. The application can be used in the field of financial technology or other related fields. The method comprises the following steps: obtaining a user classification identifier corresponding to a user to be recommended; obtaining a pre-configured target recommendation information material corresponding to the user classification identifier and a material display position corresponding to the user classification identifier based on the user classification identifier; the material display position is used for representing a display position of the target recommendation information material; displaying the target recommendation information material on a recommendation information display interface of the user to be recommended based on the material display position; and displaying recommendation information corresponding to the target recommendation information material in response to a trigger operation on the target recommendation information material. The method can make the recommendation information meet the needs of an information recommender, thereby improving the intelligence of information recommendation.

The application provides a kind of enterprise tax data visualization method and system based on blockchain, belong to the technical field of enterprise financial monitoring based on blockchain, including: graph construction and data preprocessing unit, for obtaining maximum semantic matching score and rule index;Risk quantitative evaluation unit, for by risk scoring engine, rule conflict factor, historical mode anomaly factor and financial impact factor are aggregated into compliance risk degree;Chain before decision control unit, for obtaining approved chain signal, marked chain signal or rejected chain signal, and generating corresponding state mark;Risk perception visualization unit, for receiving compliance risk degree and state mark, dynamically rendering the transaction data that has been chained.The application ensures the compliance of chained data, solves the problem of permanent solidification of garbage data.

The application provides a multi-specialty heterogeneous data integrated management method and system and a medium, and relates to the technical field of data processing. The method comprises the following steps: connecting different types of heterogeneous data sources, collecting multi-source heterogeneous data in real time and uniformly packaging the multi-source heterogeneous data into cross-specialty standard data; giving the cross-specialty standard data to a digital twin object of an entity in real time, establishing real-time association of each digital twin object according to a predefined association rule, and generating a dynamic association graph; and visualizing and rendering the dynamic association graph based on a 3D model, and visualizing the response of a user to the interaction of the dynamic association graph through the 3D model. Through the dynamic association graph and 3D visualization, the application realizes multi-dimensional data integrated fusion visualization based on business logic, and provides an interactive method capable of penetrating professional barriers and revealing the internal association of data.

This disclosure relates to the field of data processing technology, and discloses a method, apparatus, computer equipment, and storage medium for visualizing data. The method includes: acquiring target data to be displayed and multiple types of chart information corresponding to the target data, the chart information being used to visualize the target data in chart form; associating the multiple types of chart information according to a preset data structure to generate target chart information corresponding to the target data; bitmapping the target chart information to generate a data topology corresponding to the target chart information; and visualizing the target data based on the data topology. By implementing the technical solution of this disclosure, the chaotic storage of chart information is avoided, orderly storage of chart information is achieved, effective data traceability can be realized by combining data topology, and the credibility of data visualization is improved.

A classification means 181 generates a plurality of clusters by classifying subject data through machine learning. A display means 182 displays subject data included in the generated clusters in a predetermined mode at a position on a graph corresponding to the subject data in accordance with the feature of the subject data. At that time, the display means 182 changes the mode for displaying the subject data on the graph in accordance with numerical information for each feature.

The invention relates to the technical field of digital sand tables, and provides a port operation digital sand table construction method and system based on panoramic three-dimensional modeling, and the method comprises the steps: constructing a panoramic three-dimensional model of a port stockyard area, and distributing a unique stockpiling unit identifier for each three-dimensional entity in the panoramic three-dimensional model; configuring a data synchronization triggering mechanism, and obtaining multi-dimensional stockpiling service data of the corresponding stockpiling units from the stockpiling management platform; based on a preset uncertainty reasoning model, executing fusion reasoning on the multi-dimensional stockpiling business data, and outputting a stockpiling state quantitative evaluation value and confidence information thereof; and matching the corresponding three-dimensional entity through the stockpiling unit identifier, dynamically adjusting the visual rendering attribute of the matched three-dimensional entity according to the quantitative evaluation value of the stockpiling state and the confidence information thereof, and rendering and presenting the dynamic change of the stockpiling state of the storage yard in real time in the panoramic three-dimensional model. According to the invention, the perceptual suppression of the uncertainty of the data quality in the digital sand table for port operation is realized, and the evaluation robustness of the dynamic monitoring of the stockpiling state is improved.

The application relates to a hair follicle data processing method and device and a storage medium. The application calculates a total difference value of the number of hair follicles in response to a modification operation of a user on a display interface, and distributes the total difference value to a correction value of a hair follicle type; calculates the number and distribution percentage of each hair follicle type based on the correction value of the hair follicle type; and updates visual chart data on the display interface according to the number and distribution percentage of each hair follicle type, wherein the visual chart data comprises a visual representation form for representing the distribution percentage. Thus, the dynamic correlation between the total amount and the subdivided amount is realized, the disassembly of the total amount and the numerical value synchronization update of each hair follicle type are automatically completed, the consistency of data is ensured, the real-time update of the data of the linkage interface is realized, and the operation efficiency is improved.

Embodiments of the present disclosure disclose a method, device, medium and program product for dynamic visualization of temperature field of an intelligent computing center. The method comprises: voxelizing a three-dimensional physical space model of the intelligent computing center to obtain spatial geometric parameters of each voxel in the three-dimensional physical space model; obtaining an ambient temperature value of the intelligent computing center, a collection position coordinate of the ambient temperature value, a device temperature value of each target device inside the intelligent computing center, and a collection position coordinate of the device temperature value; obtaining a comprehensive temperature value of each voxel based on the above parameters; setting a particle inside each voxel based on the comprehensive temperature value of each voxel; and performing layered rendering on the three-dimensional physical space model and the set particles to generate an intelligent computing center visualization model fused with a temperature cloud layer. The method can realize three-dimensional dynamic visualization of the temperature field of the intelligent computing center through three-dimensional voxelization and layered rendering of particles, and construct a continuous temperature cloud layer to truly present the spatial distribution characteristics of the temperature field.

We provide the system. [Solution] Means of collecting data, Means for analyzing the data and generating metadata, Means for classifying and tagging data based on the metadata, A method for detecting and organizing unnecessary data, A means for visualizing the organized data, A system that includes this.

This invention relates to the field of agricultural information technology and discloses a method for constructing an innovative platform for cultural tourism to support agricultural industrialization based on historical resources. The method includes the following steps: S1: Multi-dimensional deconstruction and annotation of historical resources: Historical resources are collected, and spatiotemporal positioning, thematic hierarchical classification, and semantic attribute annotation are performed to construct a knowledge graph containing multi-dimensional associations of "historical events - geographic space - agricultural production - folk culture." The spatiotemporal positioning is accurate to the year, month, latitude, longitude, or administrative code. Through multi-dimensional deconstruction (spatiotemporal positioning, thematic classification, and semantic annotation) and knowledge graph construction, the originally isolated historical materials are transformed into machine-understandable and reasonable digital assets, supporting cross-temporal and cross-category related queries (such as "what crops were planted in a certain place under what background in a certain year"), facilitating in-depth exploration of potential points of integration between cultural tourism and agriculture.