4305 results about "Data display" patented technology

The invention discloses an expressway lane control method based on real-time traffic flow. The expressway lane control method comprises the following steps of performing fusion sensing through a distributed optical fiber vibration sensor array and a millimeter wave radar; constructing a space-time diagram convolutional network model, and dynamically mapping the road topological structure into a lane connection diagram with variable weight; a layered reinforcement learning architecture is adopted, and an emergency lane dynamic management mode is triggered; and deploying a digital twin sand table to perform multi-resolution simulation verification, and when the actual traffic flow deviates from a predicted value by more than 15%, starting a causal inference engine to backtrack a decision link and update an agent strategy library. According to the method, global dynamic lane optimization is realized through a multi-source perception fusion and hierarchical reinforcement learning architecture, simulation data shows that the morning peak traffic volume is improved by 29.3%, and the accident scene traffic efficiency is improved by 28.6%; a digital twinning and causal inference engine is adopted, the strategy updating response time is shortened to 30 seconds, and the congestion propagation distance is reduced by 35%.

According to an embodiment, a method includes receiving audio data and providing the audio data as input to a first machine learning model to produce transcription data. The audio data is provided as input to a second machine learning model to produce speaker separation data, and the transcription data is segmented based on the speaker separation data to produce speaker separated transcription data. A portion of the speaker separated transcription data is provided as input to a third machine learning model to identify personal identifiable information (PII) text in the portion of the speaker separated transcription data, the portion being associated with a speaker from a plurality of speakers. The method also includes replacing the PII text with redaction text in the portion of the speaker separated transcription data and causing display of the transcription data including the redaction text at a user compute device.

The invention provides a different types of database visualization table management method and system, and relates to the technical field of computers.The method comprises the steps that a database general operation system comprising a general operation interface and a dialect abstract base class is constructed, and a query performance evaluation system is established based on performance data; and predicting an optimal database connection mode through deep reinforcement learning and generating a multi-stage execution plan. Meanwhile, an anomaly feature knowledge base based on a graph neural network is constructed, and anomaly prediction and preventive processing are carried out based on the anomaly feature knowledge base. A multi-stage execution plan is executed after a database operation request is subjected to grammar adaptation, and a distributed transaction processor dynamically adjusts a transaction isolation level and a concurrency control parameter. And finally, according to the terminal and the data volume, selecting a proper data display mode to carry out visual presentation.

The invention relates to a photovoltaic power station real-time monitoring management system and method based on a cloud platform, and belongs to the field of photovoltaic power station intelligent monitoring. The system adopts a three-layer architecture of an application layer, a platform layer and an edge layer deployed at a cloud end, the edge layer is composed of distributed edge nodes, data are acquired through a data acquisition interface, and local preprocessing is executed; the platform layer configures a data storage and machine learning model, and performs generating capacity prediction and equipment health degree evaluation; and the application layer provides a visual monitoring interface and an operation and maintenance management terminal, and supports multi-dimensional data display and alarm information pushing. And the edge layer and the platform layer adopt a calculation task dynamic allocation mechanism, so that the cloud load is reduced while the real-time performance is ensured. The full-life-cycle monitoring of the photovoltaic power station is realized through a pure software architecture, the system has the advantages of elastic expansion, cross-platform compatibility and remote maintenance, and the deployment efficiency and the operation and maintenance response speed of the monitoring system are remarkably improved.

The invention provides a multi-dimensional visual analysis method for meteorological observation and detection data, and relates to the field of visualization. According to the method, an unmanned aerial vehicle platform carries a meteorological sensor to collect data, and primary processing, abnormal value detection and intelligent data compression are carried out; transmitting the processed data to a ground measurement and control terminal; the ground terminal fuses the multi-source data to generate a three-dimensional meteorological data set; constructing an interactive three-dimensional visual scene by utilizing self-adaptive interaction logic and a dynamic data display technology; a user can check and perform multi-view linkage operation through the interactive operation interface; a severe weather and weather raster data set can be constructed based on the three-dimensional weather data set and historical severe weather records, and simulation and display are carried out; and finally exporting the data, verifying the precision and integrity, and generating a visual analysis report.

Example systems and methods described herein relate to a digital assistant service with automated function calling. Prompt data is provided to a generative machine learning model. The prompt data includes user input and function data. The user input is received via a user interface associated with a digital assistant. The function data identifies a plurality of functions. A response from the generative machine learning model includes a function identifier associated with a function from among the plurality of functions. In response to detecting that the response includes the function identifier, the function is invoked to obtain output data. The output data is caused to be presented in the user interface associated with the digital assistant.

The invention relates to the field of playing data visualization, in particular to a playing data visualization method and system. The method comprises the steps that at least one section of pedal data of at least one pedal is obtained, and the pedal data comprises a pedal value and a time stamp of the pedal value; generating at least one section of labeling track according to the pedal data; wherein the labeling track comprises a first simulation track and a second simulation track; correspondingly, the method comprises the steps that when the pedal value is larger than a first pedal threshold value, a first simulation track is generated according to the pedal value, and the first simulation track is displayed in a first labeling form; when the pedal value is larger than a second pedal threshold value and smaller than or equal to the first pedal threshold value, a second simulation track is generated according to the pedal value, and the second simulation track is displayed in a second labeling form; and generating a combined track according to the at least one section of labeled track, and displaying the combined track on the music score. According to the invention, the smoothness and integrity of pedal data display can be improved, and the user experience is optimized.

The invention discloses a hydraulic engineering seepage intelligent monitoring system and method, and belongs to the technical field of hydraulic engineering safety monitoring. The system comprises the following modules: a multi-source data acquisition module used for acquiring multiple types of monitoring data in real time through an intelligent sensor network; the double-window time sequence analysis module is used for constructing a quick response window and a trend analysis window to realize double identification of sudden anomalies and long-term trends; the self-learning threshold optimization module is used for automatically extracting a key quantile threshold based on the distribution characteristics of the monitoring data and continuously optimizing weight configuration and early warning threshold setting of various statistical indexes; the multi-scale fusion early warning module is used for performing multi-source information fusion, generating a comprehensive change index and a multi-stage early warning state, and outputting a seepage abnormity early warning signal and a corresponding confidence coefficient; and the visual decision support module provides visual data display, emergency response guidance and intelligent decision support.

Methods and systems for automating copy-paste operations are provided. The methods and systems generate for display a first graphical user interface (GUI) comprising one or more fields and receive user input associated with the first GUI. The methods and systems, in response to receiving the user input, analyze the one or more fields of the first GUI using a machine learning model to generate one or more copy-paste operations. The methods and systems, in response to receiving the user input, present a prompt on the first GUI comprising the one or more copy-paste operations and automatically copy data displayed in the one or more fields to one or more fields of a database.

The invention provides an industrial big data micro-service API structure optimization method, medium and system, and belongs to the technical field of industrial big data, the system comprises an analysis data acquisition API, a data preprocessing API, a data analysis API and a data display API, and is divided into a data access layer micro-service module, a data processing layer micro-service module and a data service layer micro-service module; analyzing an API (Application Program Interface) responsibility range of the data access layer micro-service module by adopting a first machine learning model, and extracting an API calling link index; performing in-participation and out-participation standardization processing on the micro-service module of the data processing layer; an API interface version management module is established, and API interface change records are collected; analyzing the API interface version evaluation model by adopting a second machine learning model; and an API optimization evaluation function is established, API structure recombination operation is executed, and the problem that existing API responsibility division is not reasonable enough is solved.

The invention relates to the technical field of data processing, and discloses an automatic visual large-screen display processing method based on a control model and data driving, which comprises the following steps: optimizing large-screen information display, and switching parameters through layout density, visual attention and scenes; dynamically adjusting a data display strategy, and calculating data freshness, abnormal fluctuation and correlation parameters; user interaction experience is improved, and hot area response and multi-dimensional drilling parameters are optimized; enhancing information readability, and calculating graphic cognition and color conflict parameters; the system performance is stabilized, and the rendering frame rate and the data throughput are monitored; the business value, the attention decision response and the abnormity discovery timeliness are measured; dynamic weight, abnormal fusing, self-learning and multi-dimensional evaluation systems are adopted in intelligent optimization. According to the method, dynamic weight distribution, an abnormal fusing mechanism, self-learning optimization and a multi-dimensional evaluation system are combined, an intelligent, real-time and precise large-screen display system is achieved, and information display reasonability, interaction experience and system stability are improved.

The invention relates to the field of piano intelligent display, in particular to a playing data display method and system, and the method comprises the steps: obtaining music score data; the music score data comprises one or more of the following: standard time values, standard strength, standard fingering and standard pitches corresponding to the plurality of notes; the playing data of the user are obtained, the playing data of the user comprise data sets at multiple moments, and the data sets comprise one or more of the following data: time value data, force data, fingering data and pitch data; judging whether at least one data group is matched with the corresponding music score data or not; if yes, correlation comparison is carried out on the music score data and the matched data set, and the difference degree is calculated; and displaying the music score, and displaying the associated data group in a region corresponding to the notes. According to the playing data display method provided by the invention, visual optimization can be realized on the basis of ensuring the integrity of playing parameters.

To provide a food information providing device for encouraging customers to order and contributing to increase in an average customer spend in stores for providing food products such as conveyor belt sushi.SOLUTION: A food information providing device A as an example of the food information providing device, comprises a rail display part 1. Screens displayed on the rail display part 1 include a top screen 13, where the top screen 13 displays menu image data 130, menu name data 131, background image data 132, and character image data 133. Further, the plurality of menu image data 130 and menu name data 131 are displayed by scrolling in a fixed direction in set order. Furthermore, regarding the top screen 13, when the screen is touched with a finger and a right swipe operation or a left swipe operation is performed, the menu image data 130 having been displayed by the scrolling can be moved in a direction of the scrolling or in an opposite direction of the scrolling and displayed.SELECTED DRAWING: Figure 4

The invention discloses an aeronautical medical rescue assessment method and system based on an MR technology, and relates to the technical field of aeronautical medical rescue. Comprising a multi-dimensional data acquisition module, a fusion data display module, a task real-time evaluation module, a task automatic adjustment module, a remote cooperation adjustment module and a task record evaluation module. According to the scheme, data such as vital signs of a patient, the flight state of an aircraft, rescue worker operation and medical resource configuration are comprehensively integrated through multi-dimensional data acquisition, a comprehensive data source ensures that a decision maker can obtain comprehensive, real-time and accurate situation awareness, and information one-sidedness caused by a single data source in the prior art is avoided; the data are cleaned and fused through a Kalman filter, and the precision and timeliness of the data are remarkably improved.

The invention discloses an automatic data modeling and optimizing system and method fusing a knowledge graph and ChatBI, and relates to the technical field of data analysis. In order to solve the problems of high interaction threshold and insufficient analysis depth of a traditional BI tool, the scheme adopted by the invention comprises a data layer which has the capabilities of multi-source data access, domain knowledge graph construction, intelligent mapping recommendation, federal calculation and data mild governance, and realizes data integration and semantic unification; the analysis layer realizes accurate conversion from a natural language to an SQL and semantic reasoning of a knowledge graph through graph vectorization, multi-model cooperation, natural language understanding, intelligent SQL generation and graph dynamic updating, and supports efficient data query and analysis; and the application layer has the functions of natural language interaction, visual recommendation and generation, root cause analysis and intelligent early warning, and provides a visual interaction interface and data display service for a user. According to the invention, intelligent data analysis and visualization based on natural language interaction can be realized.

The invention provides a data intelligent question and answer ChatBI method and device based on a large model. The method comprises the following steps of 1, constructing a database knowledge vector library; and step 2, question semantic transliteration and retrieval. According to problem transcription and data retrieval supplementation, a large language model is utilized to generate a corresponding visual chart according to the characteristics and problems of data, automatic visualization of any data is achieved, meanwhile, a more detailed and clearer expression mode is provided in a dialogue mode, and the method has the advantages of being high in practicability and easy to popularize. The flexible, intelligent and automatic process is realized, and the trend and relationship of the data are more intuitively displayed for customers. By combining a big language model and a data visualization technology, a proper visual chart is automatically generated according to natural language cue words and data, so that the data analysis and presentation efficiency is greatly improved, the learning cost of a user is reduced, and a personalized data display solution is provided for users in different fields.

The invention discloses an ODPS-based customer service data aggregation method and server, and relates to the field of electric digital data processing, and the method comprises the steps: carrying out the field classification of collected source data, and obtaining a plurality of source data sets; loading the source data sets to an ODPS platform, and performing first aggregation processing on the source data in the plurality of source data sets by using the ODPS platform to obtain a plurality of field wide tables; pulling the field wide table to a DRDS platform, and performing distributed data processing on the field wide table by using the DRDS platform to obtain a plurality of pieces of distributed data; determining a target data feature corresponding to a target report in a report request instruction according to the report request instruction sent by the user terminal; and extracting multiple pieces of target data corresponding to the target data features in the multiple pieces of distributed data, and performing second aggregation processing on the target data to generate a target report. By implementing the method, the data processing efficiency can be improved when the multi-azimuth data display of the customer service staff is carried out.

The invention discloses a multifunctional intelligent electronic ear tag device. The ear tag adopts a head hoop and an arc-shaped ear hook structure, a connecting buckle is of a magnetic attraction type, punching is not needed, and the head hoop is made of medical silica gel, so that it is ensured that the ear tag is comfortable to wear by animals and convenient to use repeatedly. The power management module guarantees power supply, and the data monitoring module can collect multi-dimensional information such as animal body surface temperature, environment and behavior data. During working, breeding areas are divided to construct a wireless network, data are acquired and then preprocessed, and the animal growth state sensing model is utilized to analyze and upload a result. The power consumption adaptive algorithm dynamically adjusts the working mode of the ear tag according to the equipment state and the like, such as adjusting the sampling frequency and the local model complexity, so that low-power-consumption edge calculation and accurate reasoning are realized. The user terminal supports data display, interaction control and remote alarm, and helps a manager adjust a breeding strategy based on an analysis result. The system has the characteristics of high comfort, low power consumption and high precision, and provides technical support for digital transformation of animal husbandry.

The invention provides a cross-border data multi-terminal display interaction system based on a digital cockpit and an interaction method thereof. The cross-border data multi-terminal display interaction system comprises a data acquisition module, a data transmission module, a data storage module, a data processing module, a data display interaction module, a user authentication and authority management module, a data sharing and collaboration module and the like. The data acquisition module acquires and preprocesses data from a cross-border multivariate data source; the transmission module adopts a security protocol to guarantee secure transmission of data and can monitor the link state; the storage module constructs a distributed system to store data, and can perform classified management and backup recovery; the processing module processes data by using a big data technology; the display interaction module provides a multi-terminal adaptation interface, a rich visual component and an interaction function; the user authentication and authority management module ensures safe access of data; and the data sharing and cooperation module supports real-time synchronization and conflict processing. Through a CBMTIA algorithm, the system realizes data acquisition integration and preprocessing, encryption security transmission, intelligent terminal identification adaptation, data synchronization and consistency maintenance.

The invention provides a pneumatic down-the-hole hammer automatic control system based on airflow dynamic adjustment, comprising: a sensor module for collecting monitoring data; the actuator module is used for controlling the flow and pressure of compressed air and adjusting the propelling speed and pressure of the drill rod; the control and processing module is used for carrying out data processing and intelligent control by utilizing an embedded controller and a control algorithm; the airflow dynamic adjusting module is used for constructing a geological recognition model, recognizing rock hardness and structure changes and automatically adjusting impact energy and drilling efficiency; the fault prediction module is used for constructing a fault prediction model and carrying out fault prediction and alarm; the energy consumption optimization module is used for constructing an energy consumption model, presetting an optimization target, designing an optimization genetic algorithm and calculating an optimal airflow parameter; and the man-machine interaction module is used for data display, state alarm and parameter adjustment. The drilling process can be intelligently controlled, the drilling efficiency is improved, the equipment failure rate is reduced, energy can be saved, and the system adapts to complex geological conditions.

The utility model provides an air purification filter performance detection and verification device, including a detection component, which includes a bottom plate, a mixing box, a first sealing sleeve, a feeding pipe, a blower, a groove, and a screw. The utility model places the air purification filter in the first sealing sleeve, starts the drive motor to drive the connecting block to move through the screw, and the connecting block drives the second sealing sleeve to move through the connecting box, and the air purification filter is fixed and sealed by the first sealing sleeve and the second sealing sleeve, and dust is added to the mixing box through the feeding pipe. The blower moves the first sealing sleeve of the dust in the mixing box to the inside of the air purification filter, and then sprays it into the dust storage box along the air outlet of the air purification filter through the second sealing sleeve, the connecting pipe and the hose. The dust sensor can give the concentration of the dust test to the connecting pipe, and transmit the data to the processor for processing. After processing, the data is displayed through the display screen, and the operation is simple and convenient.

The invention relates to the technical field of cow breeding early warning, and discloses a cow breeding early warning system and method based on multi-feature fusion analysis, and the system comprises a data collection module, a feature fusion analysis module, an abnormity early warning module, a decision and suggestion module, and a breeding data display module. The feature fusion analysis module is used for analyzing the health condition, the production performance and the environmental comfort of the dairy cow based on the physiological data, the feeding data and the colony house environment data of the dairy cow; and the decision suggestion module is used for making a dairy cow breeding optimization suggestion according to the feature fusion analysis result, and the dairy cow breeding optimization suggestion comprises optimization of feed distribution and dynamic division of activity areas. The system effectively solves the problems of health management lagging, resource waste, difficulty in recognition of environmental hidden dangers, unreasonable region division and the like in traditional cow breeding, remarkably improves the intelligent level of pasture management and breeding efficiency, and has a wide application prospect.

The invention discloses a distributed digital agricultural park environment perception system, and relates to the technical field of digital agricultural park environment perception, a data acquisition module deployed in an agricultural park is utilized to acquire environment parameters of temperature W, humidity S, illumination intensity G, soil humidity TS and carbon dioxide concentration CO2 in real time, and the environment parameters are stored in a storage unit of the data acquisition module. Historical data of related environment parameters are collected, a data processing and calculating module is utilized to calculate and output an environment comprehensive index HZ, an irrigation demand GG and an intelligent regulation and control evaluation value TK, data display and feedback are utilized, a trend chart is drawn in combination with the result of the intelligent regulation and control evaluation value TK, temperature W / humidity S / illumination intensity G / soil humidity TS is adjusted in a targeted mode, and the intelligent regulation and control evaluation value TK is obtained. According to the method, the perception regulation and control performance and the user experience of the system are further improved by improving the data accuracy, optimizing the intelligent regulation and control strategy, enhancing the self-adaptive capability of the system and enriching the solution optimization and innovation measures of the visual targeted regulation and control mode.

A computer system retrieves provisioning data and observability data (metrics, logs, events, alerts, inventory) for a plurality of components from remote servers. The computer system extracts component identifiers from the provisioning data and the log data. The computer system identifies relationships between components from the provisioning data and the log data, such as environmental variable relationships, network relationships, session relationships, access relationships, and network connection relationships. The computer system generates a topology in which nodes represent components and edges represent relationships. The topology is updated to show changes to components and relationships. A user may interact with a visual representation of the topology to change data displayed or invoke changes to the components and relationships represented by the topology.

The invention relates to the technical field of financial data processing, in particular to a financial data automatic extraction and articulation processing system and method, and the system comprises a financial data obtaining module which is used for obtaining financial image data, audio data and bank API data; and the financial data processing module adopts OCR (Optical Character Recognition), Whisper voice conversion and bank API (Application Program Interface) paging query technologies to carry out standardization processing on the data and extract financial data through an anomaly detection mechanism. And the financial data sorting module classifies and stores the data to different financial databases by adopting a dynamic routing and four-way distribution strategy based on format verification and priority marks. And the financial data articulation module performs verification and difference processing on the data through a cross-library articulation rule to generate a financial analysis report. And the financial data display module monitors the financial analysis result by adopting a data snapshot and rollback mechanism, so that automatic extraction, articulation and visualization of the financial data are realized, and the accuracy and compliance of the financial data are improved.

The invention discloses an intelligent reservoir inspection system based on a knowledge graph and digital twinning. The system comprises a sensing acquisition layer, a modeling simulation layer, a data processing and decision support layer, a communication layer and an interactive visualization layer, the sensing acquisition layer obtains image video data, water level data, rainfall data and temperature and humidity data of the reservoir and the surrounding environment through a camera and a sensor; the modeling simulation layer maps an actual reservoir and a surrounding environment into a virtual model, imports data acquired by the sensing acquisition layer into the virtual model, and realizes dynamic monitoring and analysis through a digital twinborn technology; the data processing and decision support layer is used for processing, analyzing and mining data and providing decision support; the communication layer is responsible for interconnection, remote control and automatic task execution of the system; and the interactive visualization layer provides an operation interface and data display.

The embodiment of the invention provides a server, display equipment and a digital human processing method. The method comprises the following steps: receiving voice data input by a user and sent by the display equipment; broadcast voice is determined based on the voice data; extracting voice features of the broadcast voice; determining mouth shape parameters based on the voice features; determining emotion parameters and acquiring user image data; generating digital human image data based on the user image data, the emotion parameters and the mouth shape parameters; and sending the broadcast voice and the digital human image data to the display device, so that the display device plays the broadcast voice and displays a digital human image based on the digital human image data. According to the embodiment of the invention, the expression parameters and the mouth shape parameters are determined according to the voice data input by the user, the expression parameters and the mouth shape parameters are combined to generate the digital human image with better facial expression expression, and emotion customization and control are realized.

An acquisition section acquires first image data from another information processing device. A display processing section displays a first image corresponding to the first image acquired by the acquisition section. An acceptance section accepts operation information of an input device for operating a first information processing device when the first image is displayed. A system image generation section generates second image data corresponding to the operation information accepted by the acceptance section. The display processing section reduces the first image and displays a second image corresponding to the second image data in a manner superimposed on the reduced first image.

The invention discloses a well station instrument fault intelligent diagnosis system and diagnosis method based on big data and artificial intelligence, and the system comprises a well station instrument data management and acquisition module which collects and stores well station instrument data in real time, and provides a visual data display interface at the same time, so that an operator can know the operation state of a well station in time; the well station instrument data analyzing and processing module is used for analyzing the collected well station instrument data and extracting key index data; according to the well station instrument fault early warning model system, a multi-level early warning model is created, and potential faults of well station instruments can be effectively recognized and predicted; and the well station instrument fault diagnosis and analysis module is used for quickly identifying abnormal conditions in the well station instrument data, making fault early warning and analysis reports and providing the fault early warning and analysis reports to management personnel. According to the intelligent diagnosis system and the diagnosis method, problems possibly occurring in production are analyzed and predicted through an intelligent algorithm and a model, and corresponding measures are taken in advance so as to ensure safety and stability of oil well production.

The invention relates to the technical field of information security, and particularly provides a medical Web service multilayer dynamic protection method and system, and the method comprises the steps: obtaining access source information, terminal equipment information and user behavior information when a user initiates a data access request; obtaining an access risk score for representing a current access risk level according to the access source information, the terminal equipment information and the user behavior information; querying a pre-constructed mapping relation table about the risk score and the risk strategy according to the risk score, so as to obtain an access permission and a data display strategy for the current data access request; performing data processing on medical data which is prepared to be returned and corresponds to the data access request according to the access permission and the data display strategy, and then sending the medical data to the user terminal; the method can effectively solve the problems that high data leakage risk events cannot be processed and medical data leaks due to the fact that real-time and dynamic data leakage risk assessment cannot be carried out.