75 results about "Visual tool" patented technology

The invention provides a construction method and system of a settlement landscape evolution database based on multivariate spatial-temporal characteristics. According to the method, historical literatures, aerial photography, satellite images and landscape data are integrated to form a multivariate data set; constructing a dynamically updated database by using MySQL, and realizing data source associated storage by using a relational model; establishing a settlement landscape state machine model, and extracting spatio-temporal data to identify typical states and conversion conditions; constructing a state transition matrix, and analyzing the influence of social economic and environmental changes on evolution; the database is updated through field investigation, and a visual tool is developed to display the evolution process. According to the method, full-process dynamic analysis of settlement landscape evolution is realized, and efficient and accurate support is provided for decision making.

The invention relates to a conveying belt tearing positioning and tracing system based on RFID and multi-sensor fusion, which effectively overcomes the influence of belt slipping and elastic deformation through multi-sensor fusion and motion compensation, and realizes accurate positioning of a tearing point. Meanwhile, through cross validation of vibration, vision and infrared data, the recognition accuracy is improved to 99.5% or above, false alarms caused by environmental factors (such as dust and moisture) are greatly reduced, stable operation in a severe industrial environment is ensured, and high reliability and low false alarm rate are achieved. And thirdly, the system supports long-term data tracing and intelligent operation and maintenance, and a user can analyze a tearing trend and identify a high-frequency fault area by storing historical data of at least 180 days and providing a visual tool, so that a maintenance plan is optimized, predictive maintenance is realized, and faults are reduced from the source.

The invention discloses an overhead transmission line point cloud classification method and system based on rule improved RandLA-Net, and a storage medium, and belongs to the field of three-dimensional laser point cloud processing and power system automation. The classification method comprises the following steps: collecting original point cloud data of the overhead transmission line, and performing preprocessing after data conversion and data classification to obtain a standardized point cloud data set; constructing and training an improved RandLA-Net point cloud classification model, performing feature enhancement through a channel attention mechanism, and outputting a preliminary classification result; performing optimization processing on the preliminary classification result based on a prior rule to obtain a final classification result; and outputting the final classification result and displaying the final classification result through a visual tool for supporting power transmission line inspection. Through improvement of a channel attention mechanism, data preprocessing optimization, combination of four types of prior rules and the like, high-precision classification of power transmission equipment is realized, and reliable data support is provided for power inspection.

The invention provides an auditing text auxiliary compiling method and system based on a large language model, and belongs to the technical field of intelligent office. Efficient reuse of experience is realized by constructing a structured knowledge base and performing word segmentation, entity recognition and theme clustering on historical documents by utilizing a natural language processing technology; dynamically generating an adaptive template, automatically filling fields in combination with service data, and supporting conditional logic to adjust contents; calling a large language model to generate a standard text, generating a table and a chart in combination with Pandas and a visual tool, and realizing multi-element mixed arrangement and format automatic verification; a user is guided to edit through an interactive interface and is stored in a knowledge base, a closed-loop evolution mechanism of auditing knowledge from reuse, generation to feedback is formed, and the normalization and efficiency of text writing are improved.

The invention provides a construction system for realizing a business intelligent data question-answering system based on semantic recognition, which belongs to the technical field of information and comprises a user interaction layer, a semantic analysis layer, a data access layer, a data analysis layer and a visual presentation layer. A user can input a query request through a natural language, and the system analyzes the intention of the user by using an advanced semantic recognition technology and quickly extracts related information from mass business data. And then, the system visually presents an analysis result to the user in forms of charts, reports and the like through a visual tool, so that a business department is assisted to quickly understand a data trend and make an efficient decision. According to the system, the data query and analysis process is simplified, the dependence on professional data analysts is reduced, the working efficiency is greatly improved through automatic and intelligent means, the operation and maintenance cost is reduced, good expansibility and integration are achieved, and diversified business requirements of business departments are met.

The invention discloses a social group discovery system based on fused semantic information. The system comprises a presentation layer, a presentation layer, a service layer and a data layer. The presentation layer supports checking of a group division result; the display layer displays a user structure network, group dynamic division and group characteristic indexes through a visual tool; the service layer is composed of a semantic tag generation module, a user structure analysis module, a social group division module and a social group analysis module, semantic and structural features are fused through a graph attention network, and accurate group division is realized in combination with an adaptive embedded graph aggregation algorithm; and the data layer stores the original data set of the social platform and the processed data. The system inputs user texts into a large language model to generate semantic tags, node embedding is generated by calculating node association weights, group division is completed by combining an adaptive embedding graph aggregation algorithm, and finally group characteristics are quantitatively analyzed from the aspects of cohesion, conductivity and the like. The system is suitable for scenes such as vertical domain community mining.

The invention discloses a diabetic intestinal preparation quality prediction method based on SHAP, and relates to the technical field of medical artificial intelligence, and the method comprises the following steps: collecting clinical feature data of a diabetic, and carrying out the preprocessing of the clinical feature data; constructing a diabetic intestinal preparation quality prediction model, taking the preprocessed clinical feature data as model input, and taking the intestinal preparation qualification rate as output; and an SHAP interpretable artificial intelligence framework is introduced to analyze and attribut the prediction model. According to the method for predicting the intestinal preparation quality of the diabetic patient, the prediction model is constructed by integrating multi-dimensional clinical data and applying an ensemble learning algorithm, so that the prediction accuracy and stability are remarkably improved, the limitation that the traditional method depends on doctor experience is broken through, the judgment inconsistency caused by individual difference and diagnosis and treatment pressure is reduced, and the prediction accuracy and stability are improved. The interaction between the features is displayed through a visualization tool, and the interpretability and transparency of the model are enhanced.

The invention discloses an intelligent construction site multi-dimensional collaborative management method based on BIM and Internet of Things, and the method comprises the steps: carrying out the grouping processing of data through employing a clustering algorithm according to a unified data set after fusion, classifying the data of similar processes, and carrying out the recalculation through adjusting a clustering center if a grouping result shows that the data distribution is not uniform, determining an inter-process logic dependency relationship graph; the method comprises the following steps: acquiring real-time field update data as input through a complex coupling process sequence, predicting the completion time of each process in the sequence by adopting a neural network model, judging whether a prediction deviation is within an allowable range or not, and obtaining an accurate progress prediction result; and deducing a result through a final dynamic resource demand, generating a summary report for a project end process, carrying out mapping display on the result by adopting a visual tool, judging whether a construction period requirement is met or not, and obtaining complete construction management output.

The invention discloses a dialogue type data analysis method and system based on a large model application technology in the field of rail transit, and the method comprises the steps: extracting data from a rail transit multi-source system through a streaming or batch processing mode, constructing an original data layer (ODS), and carrying out the automatic processing based on a materialized view technology to generate a detail layer (DWD), a summary layer (DWS) and an application data layer (ADS). And efficient hierarchical management and nearly real-time updating of the data are realized. The system receives a data query demand input by a user in a natural language form, performs intention recognition and semantic understanding by using a large model technology, matches a related data table structure in combination with vector retrieval, automatically generates a safe and accurate SQL query statement, and executes a query operation. And the query result is returned in a JSON format, and the front end dynamically generates a chart through visual tools such as ECharts and the like, so that a dialogue type data analysis result which is analyzed as required is realized.

A system for data aggregation from at least one source for use in data analysis having a graphical user interface that shows multiple data sources for users to analyze data. A database stores and visualizes data from data files captured on a web application, whereby users analyze the data through visual tools, charts, and graphs. The system also automatically transforms the data into evaluation templates. The evaluation templates may be an automated computer readable format. The reports can be customized by users or selected from existing templates. Users have the ability to design their own reports.

The invention relates to a method and a system for discriminating years of raw Pu'er tea in different storage aging periods. The method comprises the following steps: S1, preparing a sample; s2, analyzing components to determine the content of non-volatile compounds; s31, dividing the sample into three storage aging periods; s32, screening the number and the type of the non-volatile compounds by adopting LASSO regression to obtain a key predictive factor; s33, taking the key predictive factor as an input variable, and combining linear discriminant analysis to construct a year discriminant model; s4, outputting a result; the method has the advantages that based on LASSO regression of non-volatile compounds, linear discriminant analysis and other frontier machine learning technologies, an accurate model for Pu'er raw tea year discrimination is constructed, a matched visual module is combined, an efficient and visual tool is provided for Pu'er raw tea year discrimination, and the Pu'er raw tea year discrimination method is suitable for popularization and application. And scientific technical support is provided for quality evaluation and market transaction of annual Pu'er raw tea.

The invention relates to the technical field of pre-training models, and discloses an LLM-based industry graph multi-modal report generation system, which comprises a multi-source data fusion module, a triple extraction module, a knowledge graph construction module and a multi-modal output module. According to the method, comprehensive coverage of multi-source heterogeneous news text data is realized in combination with a large language model and a traditional crawler technology; calling a large language model to generate a structured industry report based on the industry relation graph node features and the relation weights; complementing the key data through a networking data complementing tool, and automatically generating a dynamic chart in linkage with a visual tool format; meanwhile, an interactive industry knowledge graph is rendered, user exploration entity association is achieved, and multi-dimensional output of texts, charts and graphs is achieved; high automation from data acquisition and processing to report generation is realized, flexible arrangement of a networking data completion tool workflow is combined, the manual intervention cost is remarkably reduced, and the system response efficiency is improved.

The invention discloses a digital human live broadcast microphone connection and video generation method based on computer vision, and belongs to the technical field of artificial intelligence, and the method comprises the following steps: 1, real-time vision capture and action expression driving: employing a computer vision tool to carry out face key point detection, facial feature points of lips, eyes and the like of a live anchor or a microphone-connected guest are accurately captured; and then a voice conversion model is matched, microphone-connected audio features and lip key point movement are bound, precise synchronization of the sound and the lip is achieved, and for limb actions, limb joint data can be collected through a monocular camera in combination with a posture estimation algorithm or a simple action capture device and mapped to a digital human skeleton model. According to the digital human live broadcast microphone connection and video generation method based on computer vision, through multi-dimensional technical innovation and systematic design, the problems of insufficient sense of reality, interaction lagging, poor scene adaptability and the like existing in current digital human application are effectively solved.

The application discloses small reservoir seepage data intelligent analysis based on rainfall characteristics, generates corresponding features through feature construction on seepage pressure data, rainfall and reservoir water level, and adopts a RobustScaler method to normalize the data; a long short-term memory network model and a random forest model based on historical rainfall are constructed, and model parameters are optimized in combination with a Bayesian optimization and a grid search technology; real pressure pipe water levels are systematically analyzed, potential influences of reservoir water levels on the pressure pipe water levels are filtered out, influences of accumulated period rainfall and historical rainfall on the pressure pipe water levels are compared, and a scatter diagram between the two is drawn by using a visual tool. The application is particularly suitable for small reservoir seepage data intelligent analysis, and can improve the intelligent level of reservoir safety monitoring and management.

The present invention is directed to a system and method for displaying interior design proposals for a given room according to known design principles and user preferences. The system is operative to convert user-input sketches and / or blueprints of two-dimensional space geometry into digital floor plans and identify and propose blocks of appliances and / or articles of furniture as design elements defined by their dimensions and any limiting characteristics. Each block is functionally and dimensionally appropriate for the floor plan based on user preferences, as filters, and floor plan limitations and may be defined by minimum space requirements, anchor point restrictions, and configuration restrictions. The system and method may further comprise visual tools for conveying a user's creative taste, style, and aesthetic for each floor plan, and be operative to display hyperlinked shopping lists in accordance with filtered blocks of design elements.

The invention provides a calibration piece, which is used for calibrating the installation position of a cutter on a cutter base, and comprises a sleeve mechanism, the sleeve mechanism is provided with a measuring tool part and a sleeve hole penetrating along a first direction, the measuring tool part is located at one side of the sleeve hole in the first direction, and the measuring tool part is located at the other side of the sleeve hole in the first direction; the sleeve mechanism can be arranged on the periphery of the tool base in a sleeving mode based on the sleeve hole. The stopping part is movably arranged on the measuring tool part in the first direction, and in the state that the sleeve mechanism is arranged on the tool base in a sleeving mode and the stopping part is positioned on the measuring tool part, a tool bit of the tool can abut against the stopping part so as to calibrate the protruding length of the tool bit relative to the tool base; the problems that the efficiency is too low, the precision is not high and the consistency is poor due to the fact that an operator uses a measuring tool to conduct visual tool setting in an existing traditional tool installation mode are solved.

An electric spark machining coordinate collecting and executing method comprises the steps that S1, in a calculation environment with a three-dimensional geometric processing function, a first coordinate position where interference-free entering and a second coordinate position where machining is terminated are obtained; s2, mapping from the reference zero point to a physical processing zero point on an electric spark machine tool; s3, after the physical electrode is automatically replaced on the machine tool, the geometric deviation of the physical electrode is measured, and the deviation serves as a tool offset parameter to be written into a numerical control system; and S4, an electrode is controlled to execute electric discharge machining from the first coordinate position to the second coordinate position. According to the method, coordinates are obtained through simulation, the risk of motion interference of the electrode in a complex inner cavity is eliminated in advance, and the problem that visual tool setting cannot be achieved during blind hole machining is solved. A large amount of coordinate acquisition work is transferred to the computer end, the machine tool end only needs to execute automatic calibration and machining, the shutdown waiting time is remarkably shortened, and continuous automatic production is achieved.

The invention relates to a tobacco data acquisition and analysis system based on artificial intelligence, and the system comprises a multi-source data acquisition module which is used for automatically and incrementally acquiring corpus data and network observation data of tobaccos based on a formulated polling mechanism, and outputting the corpus data and the network observation data as tobacco data after the formats of the corpus data and the network observation data are unified; the data processing and conversion module is used for cleaning, checking and uniformly coding the tobacco data and generating standardized data; the intelligent analysis module is used for carrying out feature extraction on the standardized data, carrying out dimensionality reduction to generate a structured data set, carrying out deep analysis on the structured data set based on a butted large language model and a random forest model, and carrying out dynamic optimization and generation of an analysis result by optimizing hyper-parameter configuration of the large language model; and generating a visualization tool based on the optimized analysis result. The problem that a traditional data acquisition and analysis system cannot automatically acquire complex tobacco data and cannot acquire an intelligent analysis result and a visual tool according to data characteristics of the tobacco data is effectively solved.

The invention discloses a network attack attribution analysis and responsibility determination method based on causal reasoning, and belongs to the technical field of network security. According to the method, multi-source heterogeneous data are integrated through data acquisition and preprocessing, a causal graph is constructed to mine a potential causal relationship, a causal path of an attack behavior is defined and dynamically updated, attribution analysis is performed by using a causal reasoning algorithm, the intention and ability of an attacker are clarified, the responsibility proportion is evaluated in combination with laws and regulations, and a report is output. And meanwhile, an analysis result is displayed through a visual tool, and the model is optimized based on user feedback. The method is suitable for the fields of enterprise network security protection, cloud service provider security operation, national network security supervision and the like, advanced persistent threats can be effectively dealt with, the interpretability and legal applicability of analysis results are improved, and scientific basis and technical support are provided for responsibility confirmation and risk control of network security events.

The present invention proposes a TDU virtual simulation visual editor and an editing method thereof. The editor comprises a virtual resource embedding management module, a virtual simulation process editing module, a block visual editing module, and a real-time virtual simulation effect preview module. Web-end technology is used to build a project and a page structure, and a programming language is used to create a visual tool block to realize code creation from graphics. The virtual resource embedding management module comprises a picture resource adding unit, an animation resource adding unit, an audio resource adding unit, and a video resource adding unit. The picture resource adding unit is used to import a code block in a picture format into the editor; the animation resource adding unit is used to import a code block in an animation format into the editor; the audio resource adding unit is used to import a code block in an audio format into the editor; and the video resource adding unit is used to import a code block in a video format into the editor.

The invention provides a low-altitude management and control data acquisition method and system based on radio identification, and relates to the technical field of low-altitude management and control, and the method comprises the steps: collecting the basic information of an aircraft; packaging the basic information according to a preset packaging mode to obtain standard information; the standard information of the aircraft is analyzed, key information of the aircraft is obtained, and the key information comprises position information, speed information and direction information; and generating a real-time track of the aircraft by combining the key information and GIS data. The low-altitude management and control data acquisition method based on radio identification solves the problems of difficulty in quickly and accurately acquiring aircraft identity information in low-altitude monitoring, low data transmission efficiency, high delay, low data processing efficiency and accuracy in low-altitude monitoring, lack of visual and visual tools in low-altitude monitoring, high data processing efficiency and high data processing accuracy in related technologies. And illegal invasion or dangerous behaviors are difficult to respond in time in low-altitude monitoring.

The invention discloses an enterprise management decision-making system based on a PaaS platform. The enterprise management decision-making system comprises a data acquisition and preprocessing module, a data storage and management module, a decision-making model construction and management module, a decision-making analysis and visualization module and a user interaction and authority management module. The data acquisition and preprocessing module acquires data from multiple sources inside and outside an enterprise and cleans and standardizes the data in real time; the data storage and management module realizes efficient storage and management of data by using a distributed storage technology; the decision model construction and management module provides a visual tool to support construction and version management of various types of decision models; the decision analysis and visualization module is used for deeply analyzing data by using a data analysis technology and visually presenting a result; the user interaction and authority management module supports multi-terminal access and distributes authority according to enterprise architecture and business roles. According to the system, the enterprise deployment cost is reduced, the flexibility and expansibility are improved, efficient data processing capacity is achieved, and flexible decision model construction and cross-department collaboration are achieved.

The invention provides a ship block construction period planning method. The method comprises the following steps: determining a cycle period of ship construction; obtaining a demand node of each block in the target block family in the ship construction process; determining a construction period corresponding to each block in the target block family; calculating an inventory period of each block; calculating a vacancy period of each block; and determining the construction rhythm of the target block family, and then combining the construction rhythm with the cycle period, the inventory period and the vacancy period of each block in the target block family to make a ship block construction period planning table for reflecting the composition structure of the cycle period of each block in the target block family. According to the technical scheme, the ship block construction period planning table is made by establishing the relation between the construction rhythm and the vacancy period and the inventory period, a visual tool for ship construction period planning can be provided for technicians, and the technicians can flexibly select the construction rhythm and manage and monitor the construction progress.

Disclosed systems and methods may receive real-time, external credit line information into one or more source applications. Thereafter, the real-time, external credit line information may be merged with internal credit line information and legacy information via a data orchestrator. The merged information may be further consolidated via the data orchestrator resulting in one or more micro batches of merged credit line information that are transmitted to a credit line decisioning system at frequent intervals. At least one exclusion rule may be applied to the transmitted credit line information, and thereafter, the transmitted credit line information may be provided to an interactive visual tool for real-time credit line management. The interactive interface allows for a user to incorporate real-time credit line information into credit line management decision-making. Thus, the credit line management system described herein provides real-time credit line information to enable real-time decision-making regarding credit line increase, decrease, and closure.

The application discloses a kind of general software development construction methods suitable for multiple scene requirements, belong to software development technical field.The method includes four steps: one is abstracted multiple scene common characteristics, peeling specificity, establishes extensible reusable standardized metamodel system;Second, based on the metamodel system, establish scene adaptation mechanism, realize accurate mapping with different scenes through configuration;Three are using pre-packaged functional components and visual tools, arrange the application process that meets target scene;Four are starting automated build release engine, automatically complete code generation, output directly running application.The method also includes unified access management and dynamic update extension steps, can greatly improve software development efficiency, reduce cost, enhance scene adaptation flexibility and expansibility, reduce maintenance iteration difficulty, suitable for the differentiation scene of multiple industries, multiple terminals, multiple user groups, realize the rapid construction and efficient iteration of general software.

The application provides a multimodal fidelity hallucination detection method and system based on closed-loop multi-dimensional verification, belonging to the technical field of large visual language models, comprising: S1: decomposing the user instruction input into the LLM and the answer of the LLM into structured units; S2: through the collaborative mode of the LLM and the visual tool, the consistency score of the assertion is calculated from three dimensions of text-instruction consistency, text-image consistency and logical consistency, all verification results are bound to a unique evidence ID, and the assertion without evidence support is determined as unknown; S3: performing type-specific calibration on the consistency score, and then generating a unified hallucination score H through weighted fusion; S4: providing traceable evidence support for the detection result, and triggering the abstention mechanism when the evidence is insufficient, so as to ensure the credibility and practical value of the detection result. The method realizes accurate detection of three types of hallucinations, i.e., instruction inconsistency, text-image separation and logical inconsistency.

The invention relates to the technical field of building engineering, and discloses a building construction whole process intelligent monitoring system based on a BIM internet of things. According to the system, environment data and structure state data of a construction site are acquired in real time through the data acquisition module and uploaded to a cloud end through the Internet of Things technology, the timeliness and accuracy of the data are ensured, the data are deeply analyzed through the data analysis module, potential construction hidden dangers are recognized, a construction progress analysis report is generated, and the construction progress is analyzed through the data analysis module. The monitoring and early warning module can monitor the state of a construction site in real time, set a risk early warning threshold value, give an abnormal alarm in time and ensure construction safety, and the decision support module formulates a coping strategy according to alarm information, assists a management layer in evaluating the effects of different countermeasures through a visual tool, and finally converts the effects into specific adjustment measures of the execution module. Therefore, potential safety hazards and resource waste are effectively reduced, the construction progress is optimized, the overall construction quality is improved, and intelligent and refined management of the building industry is truly achieved.

The invention discloses a multi-scene building visualization system based on a BIM technology and virtual reality, and relates to the technical field of building informationization, and the system comprises the steps: collecting three-dimensional point cloud data and RGB-D image streams of a scene building, and carrying out the linkage of a BIM collaborative model, and obtaining a building digital gene pool; activating a role customization mode in a multi-source fusion interactive scene based on the user identity token, and dynamically loading a supervision visualization tool set matched with the user identity; operating and supervising the visual tool set in the terminal equipment, generating a design change instruction, returning the design change instruction to the BIM collaborative model, triggering version updating of the building digital gene pool, and generating a visual multi-scene building; the supervision tool set is dynamically loaded based on the user identity, design change instruction return and version updating of the building digital gene pool are supported, and the precision, efficiency and intelligent level of multi-scene collaborative management in the whole life cycle of the building are improved.

The invention discloses a modularization software integration deployment method of an underwater acoustic system, and belongs to the technical field of underwater acoustic system software development and deployment, and the method comprises the steps: packaging an underwater acoustic system function module assembly, generating a container mirror image, and storing the container mirror image into an assembly warehouse after multi-dimensional verification; arranging a business process through a visual tool based on the business demand and generating an executable business link configuration file; and a deployment plan is generated through a resource matching algorithm in combination with deployment environment constraints, and finally deployment is implemented and verification is performed through a container arrangement tool. According to the method, data closed-loop management of'development-deployment-operation and maintenance 'is realized, and the success rate and the stability of underwater acoustic system software integration deployment are effectively improved.

The invention discloses a power distribution cabinet foot margin positioning and assembling method, system and device based on AI visual identification, and relates to the technical field of electric power engineering, and the system comprises an image acquisition module, an analysis module and an execution module. According to the invention, the image acquisition module provides a rich basis by acquiring image data and constructing a model library, and the comparison unit calculates feature vector differences by adopting Manhattan distance, performs matching judgment by setting a threshold DA, and quickly matches corresponding foundation bolt models in the model library. An updating unit temporarily stores and marks an unknown model which fails to be matched, triggers an alarm to inform an engineer, judges whether misjudgment exists or not based on a visual tool, deletes the unknown model in time to avoid interference if the unknown model is misjudged, and stores the unknown model into a warehouse if the unknown model is a new model; the model base is continuously improved, and the overall performance and reliability of the system are improved.