141 results about "Detailed data" patented technology

The invention relates to the technical field of brain-computer interaction, in particular to a patient mental state assessment system for a clinician, which comprises a semantic manifold calibration module, a state trajectory projection module, a geometric curvature resolving module and an emotion transformation quantification module. According to the method, electroencephalogram data are collected and deeply analyzed, high-dimensional neural activity characteristics are converted into a visual three-dimensional state track in combination with titer and awakening degree information, continuous dynamic monitoring of the mental state of a patient is achieved, then the emotion conversion process is quantitatively analyzed according to the geometric curvature change rate of the state track, and therefore the mental state of the patient can be rapidly and accurately monitored. According to the method, rapid emotion fluctuation which is difficult to perceive in a traditional evaluation mode can be accurately recognized and marked, objective and fine data support is provided for clinical diagnosis, and the accuracy and instantaneity of mental state evaluation are remarkably improved.

This invention discloses a method, apparatus, device, and computer-readable storage medium for analyzing vintage-like indicators, relating to the field of risk data analysis technology. The method includes: acquiring underlying raw data; for each key value under the detailed primary key in the underlying raw data, calculating the wide table row information corresponding to each key value based on the detailed data corresponding to each key value in the underlying raw data, to obtain a target wide table composed of the wide table row information of each key value; upon receiving a statistical instruction for a vintage-like indicator, searching in the target wide table for each target key value corresponding to the target statistical dimension indicated by the statistical instruction, and calculating the vintage-like indicator value under the target statistical dimension according to the intermediate data corresponding to each target key value. This invention proposes an analysis scheme for vintage-like indicators, reducing the complexity of vintage indicator analysis operations and improving analysis efficiency.

A kind of department operational performance data real-time display and target dynamic benchmarking method and device belong to hospital management information technology field, to solve department operational performance data display lag, target adjustment after benchmarking state update not timely and early warning index detailed positioning efficiency low problem, the present application is by periodically obtaining department operational raw data, generates department operational index data, multi-benchmarking result, dashboard display data and early warning judgment result, and after receiving adjusted target value, corresponding benchmarking, early warning and display data are regenerated, can improve the continuity of department operational index display, target dynamic benchmarking and detailed data query, it is suitable for hospital department operational performance data display, target benchmarking, index early warning and detailed query etc. field.

The application discloses a kind of real-time summary method, device, electronic equipment and storage medium of detailed data, it is related to data processing technical field.The method comprises: obtaining different categories of detailed data generated by real-time business system;Wherein, detailed data includes at least one of the following: business data, entity data, rule data and configuration data;In response to the request instruction of target summary index, determine the candidate detailed data matched with request instruction from detailed data;Candidate detailed data is processed based on target data processing model, and target summary result matched with target summary index is obtained;Candidate detailed data and target summary result are rendered and displayed on target display page.The scheme of the application can quickly and accurately determine the summary result of detailed data, and display in the same page, to avoid the inconsistency between detailed data and summary result displayed in the same page provides basis.

The invention discloses a method for screening water quality driving factors of a long-distance water transfer project based on a machine learning method. The screening method comprises the following steps: acquiring a water body sample of the long-distance water transfer project; obtaining influence factor data as much as possible according to historical water quality characteristics and hydrogeological conditions of the water transfer project; constructing different factor input data sets according to the detailed data; a clustering analysis method and a correlation analysis method are applied to assist a Boruta algorithm to screen internal causes and external causes of water quality driving factors of different sections in a long-distance water transfer project, and the driving factors are obtained for importance sorting. According to the method, two statistical methods are coupled, meanwhile, the water quality driving factors of the long-distance water transfer project are screened in combination with a machine learning method, water quality driving internal causes and external causes of different sections can be rapidly screened out, importance ranking can be conducted on the driving factors, operability is high, and the method has certain popularization value and is worthy of popularization. Reliable technical guarantee is provided for a long-distance water transfer management department to treat sudden water pollution accidents, control water quality risks and improve water quality.

1. The name of the design product: premium viewing graphical user interface of electronic device. 2. The use of the design product: an electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: for viewing statistical data of premium. 6. The human-computer interaction mode of the graphical user interface: the front view is the premium viewing interface, clicking the this-month or this-year button above the interface switches the statistical time; clicking the premium data card in the interface can view detailed data; clicking the four buttons below the interface can open different premium functions. 7. Other circumstances that need to be explained: XXX in the interface represents replaceable words and / or numbers and / or characters.

This invention discloses a hierarchical public data visualization retrieval system and method based on crowdsourcing analysis and data standardization. The system includes: a crowdsourcing analysis platform for receiving and reviewing feature indicators extracted from public data by expert users; a data standardization module for performing unified exchange rate conversion and reporting period standardization on financial data to ensure data comparability; an indicator calculation module for calculating individual development indicators according to specific formulas; an index generation module for generating individual development indices, regional development indices, and global development indices based on benchmark values, and generating macro-trend charts; a multi-level index database for storing multi-level data and external links; an interactive response module for responding to chart click events and drilling down to obtain detailed data; a data display module for generating the next level of charts; and a context-aware navigation module for automatically navigating to preset external information sources based on user-selected function tags and entity clicks in the charts. This invention lowers the barrier to data utilization through crowdsourcing, ensures the comparability of global data through standardization, and achieves seamless and efficient retrieval and navigation from macro trends to micro information.

This invention discloses a method and system for real-time monitoring and prediction of carbon intensity, belonging to the field of carbon emission monitoring technology. The method acquires and processes electricity-related data such as installed capacity and real-time load of each province hourly through an ETL data channel; it draws a map of China based on ECharts, dividing it into five color-level intervals according to carbon intensity values: 0-300, 301-500, 501-700, 701-900, and 901-1200 gCO2 / kWh; responding to user clicks on provinces, it displays detailed data for each province through indicator cards, circular progress charts, and one-sided bar charts; it calls a pre-trained STFCI hybrid model to predict carbon intensity hourly for the next 24 hours. This model integrates a 2-layer 128-neuron LSTM unit with an XGBoost unit with 100 trees and a learning rate of 0.1, outputting predicted values ​​after feature concatenation and a fully connected layer; the prediction results are displayed as a bar chart, marking customizable low-carbon threshold lines, highlighting low-carbon periods, and generating electricity consumption suggestions. The corresponding system includes a data interface, database, visualization, prediction, and WeChat service modules. The database adopts an InfluxDB+MySQL combined architecture, and the WeChat service module supports mobile text and image queries. The STFCI model of this invention has an average absolute error of only 12.3 gCO2 / kWh, significantly improving prediction accuracy, realizing hourly real-time monitoring and multi-dimensional visualization of carbon intensity, and providing precise decision support for power dispatching and energy conservation and emission reduction when combined with mobile services.

The application discloses a battery temperature anomaly detection method and medium. The method can include: acquiring real-time temperature sensing data of a vehicle power battery and extracting abnormal temperature sensing data; setting an abnormal temperature sensing warning level and determining the corresponding warning level according to the abnormal temperature sensing data; and extracting abnormal temperature sensing detailed data, including the abnormal temperature sensing data and the corresponding warning level. The application is based on historical data of the power battery, efficiently calculates the temperature rise rate, the temperature drop rate and the temperature difference at the same time of the battery in batches on a big data platform, sets a threshold, detects vehicles and corresponding battery modules with abnormalities in advance, reduces maintenance costs, safety accidents and improves customer experience.

The invention discloses a conference room control method and system based on an intelligent sensing smart home, and the method comprises the steps: enabling a controller to sense the meeting of a current preset conference starting condition based on smart home equipment, controlling an intelligent conference table to collect and obtain current conference voice data, and controlling an image collection device group to collect and obtain current conference video data; and then the current conference voice data and the current conference video data are respectively identified to obtain current conference summary text data and a current conference user participation degree identification result, and the current conference summary text data and the current conference user participation degree identification result are filled into the conference summary template to generate a current conference detailed data report. According to the embodiment of the invention, a plurality of intelligent home devices in the intelligent conference room can intelligently sense the conference participation condition of participants, and carry out high-safety sound and video data and video data collection after the conference begins. And when the conference is finished, the current conference detailed data report for evaluating the conference participation degree of the participants is intelligently generated, so that the intelligent and efficient processing of the conference related data is realized.

A data platform for providing large scale data discovery with near real time data cataloguing and detailed lineage. Data is received from one or more sources, and the received data is written to a data storage systems. The received data is processed at the data storage systems using sensors at the data storage systems. Metadata and data definitions associated with the data are sent to a data service in near real-time. A data catalog is generated at the data service based on the metadata and data definitions associated with the data. Data lineage for the data is created at the data service. The data catalog and data lineage are presented at a data discovery interface.

The present application provides a large-scale composite material detection method based on infrared and ultrasonic data fusion, which utilizes the infrared large-scale rapid advantage to rapidly locate the impact marks on the surface of the composite material, cooperates with ultrasonic positioning detection to obtain detailed data of the impact defects, and finally realizes rapid positioning and accurate detection of the defects of the large-scale composite material structure.

The invention discloses a blast furnace incoming iron management data processing system and method. Comprising a data display module, a query module, an export module and a data operation module. The data display module is provided with a converter molten steel receiving display unit, a molten steel receiving team statistical display unit, a blast furnace incoming iron scrap display unit and a blast furnace incoming iron team statistical display unit; and the converter molten steel receiving and displaying unit is used for displaying detailed data received by the converter, wherein the detailed data comprises converter heat, blast furnace heat, time, ladle number, molten iron components and operation information. According to the invention, by integrating blast furnace incoming iron related data and intensively displaying various types of data on different pages, unified management of the data is realized. Meanwhile, convenient data entry, modification and deletion operation and efficient query and export functions are achieved, the time and labor cost of data management are greatly saved, and the data management efficiency is improved.

Embodiments of the present application provide a kind of based on database data processing method, device and equipment and storage medium.The method comprises: obtaining the data set generated by preset business in preset use scene;Wherein, multiple business links are included in preset business, business link includes at least one of business item and business department, and the data set includes in the first time period of preset, the multiple detailed data of business department on business item;For each business department and each business item, determine the target details of business department on business item in the first time period of preset;Wherein, target details represent the multiple detailed data of business department in business item;According to the target details of each business department in each business item, build target data table;Wherein, the data stored in target data table is used to generate the data report of preset business.The method is used to improve the data processing efficiency of database.

The present application relates to the technical field of ship motion posture, and particularly relates to a ship motion posture prediction method. The method comprises the following steps: S1: normalizing and classifying historical detailed data of a ship motion posture; S2: determining variable parameters and adaptive functions of ship motion posture data by solving posture data of the ship motion posture; S3: establishing a three-dimensional coordinate system to simulate the running of the ship motion posture, so that simulation training data under the historical motion posture data parameters can be obtained; S4: changing the formula content of the ship motion posture model; S5: generating a ship historical motion posture data model under the classification category; and S6: putting the trained detection data into the ship historical motion posture data model under the classification category to predict the ship motion posture. The present application provides a ship motion posture prediction method which can classify and predict parameters of influencing factors and realize the prediction of multi-condition data.

The invention discloses a multi-scale remote sensing three-reference unified alignment and lightweight change detection method and system, and the method comprises the steps: constructing a space-spectrum reference unified frame, carrying out the unified fusion processing of multi-source data, obtaining unified data, and carrying out the unified fusion processing of the multi-source data based on the unified data through employing the physical characteristics for forest fire and flood disasters, performing preliminary recognition on the disaster area to generate a recognition result; based on the recognition result, constructing a hierarchical collaborative sensing system of satellite general survey-unmanned aerial vehicle detailed survey-multi-source fusion fine judgment, obtaining general survey data and detailed survey data through satellite general survey-unmanned aerial vehicle detailed survey, and carrying out multi-source data fusion on the general survey data and detailed data to obtain a multi-source collaborative sensing system; generating a monitoring result including a fine disaster boundary, a quantitative index and a special product; a risk prediction model is obtained by analyzing operation parameters and environmental factors of a transformer substation and a power transmission line, a monitoring result is input into a mountain fire spreading prediction model, and dynamic simulation and prediction of a mountain fire spreading process are realized through a discretized grid cell structure.

The invention provides a vehicle tire model processing method and device, equipment and a medium, and relates to the technical field of vehicle simulation. The method comprises the following steps: acquiring imported vehicle tire model data, then performing hierarchical analysis and carding on core data and detail data in the vehicle tire model data, and performing tire modeling according to the core data after the core data of a tire model is acquired through analysis; and after the detailed data are obtained through analysis, the detailed data are loaded on the tire model obtained through modeling according to the modeling scene. Wherein the detail data comprises clipping curved surface data and clipping curve data, and the core data comprises other data except the detail data in the vehicle tire model. Through the method, the importing efficiency of the vehicle tire model data and the user experience are improved.

The application provides a complex space cable truss and membrane structure synchronous tensioning and precision control method, comprising: establishing a cable truss and membrane structure coupling nonlinear finite element analysis model, determining construction target; measurement and control system layout and initialization; starting initial tensioning; real-time state monitoring and data processing; intelligent analysis and decision instruction generation; collaborative tensioning execution; real-time safety monitoring; iteration judgment and stage promotion; completion acceptance. Through closed-loop feedback and intelligent algorithm, the application realizes sub-millimeter level accurate control of complex cable membrane structure form and prestress, automatic tensioning and intelligent decision significantly reduces manual intervention and trial and error time, shortens construction period, real-time monitoring and early warning mechanism can discover and handle potential risks in time, avoids over-tensioning or instability, tensioning accurate control can reduce material waste, optimizes equipment use, and detailed data record can provide basis for engineering acceptance and later operation and maintenance.

This invention belongs to the field of teaching evaluation technology, specifically a data-driven intelligent classroom evaluation and feedback device for teaching behavior. It includes a control device, a mobile blackboard structure, a wearable structure, a monitoring device, and a recording device. The control device comprises a controller body integrating a classroom data acquisition module, a classroom scene recognition module, a student attention acquisition module, a student interaction quality acquisition module, and a classroom content analysis report generation module. The monitoring device connects to the mobile blackboard structure, and the recording device is worn on the teacher's chest via the wearable structure. This allows the monitoring device to capture real-time images of the entire classroom environment from the blackboard, showing student performance and interaction. The recording device worn on the teacher's chest collects detailed data such as students' body movements and facial expressions at close range. This multi-dimensional data is summarized and analyzed by the control device to understand the strengths and weaknesses of the teacher's teaching.

The invention relates to the field of big data, the scheme can be applied to the fields of medical treatment and finance, and the invention provides a data processing method and device, equipment and a medium, and the method comprises the steps: generating a unique execution identifier for each business process; for the business process, tracking a complete business process from initiation to termination, identifying key data nodes in the process, and determining a business source table corresponding to data generated by each key data node; designing a data processing architecture according to a preset data construction specification and index logic model; according to the data processing architecture and service analysis requirements, sequentially associating, cleaning and integrating the identified service source tables based on the execution identifiers, and outputting corresponding detail data tables; and aggregating and summarizing the detail data table according to service requirements to generate a corresponding core wide table. The data management complexity can be reduced, and the data processing efficiency can be improved.

1.The name of the design product: health diagnosis management graphical user interface of electronic device (mobile terminal). 2.The use of the design product: for displaying graphical user interface. 3.The design points of the design product: the graphical user interface displayed in the screen of the electronic device. 4.The picture or photo that best indicates the design points: front view. 5.The electronic device is a conventional design, and the rear view, left view, right view, top view, bottom view and perspective view are omitted. 6.The use of the graphical user interface: the interface is used for mobile terminal to view human health diagnosis report, 51-dimension index overall analysis and detailed data of each index. 7.The human-computer interaction mode of the graphical user interface: the graphical user interface displayed in the front view is the starting interface of the opened program; in the front view, the interface changes to the state diagram by swiping up. 8.Other circumstances that need to be explained: the single color block “X” coating part in the graphical user interface of the design product belongs to the content picture.

The seed falling simulation detection device belongs to the technical field of agricultural machinery and is composed of a lifting platform, a seeder, a conveying belt, a detection box, a control cabinet and a storage box. The lifting platform is used for supporting the seeder and adjusting the lifting of the seeder. The conveying belt is arranged below the seeder and is used for conveying the seeds after the seeds are sown by the seeder. The detection box is arranged above the conveying belt and is used for collecting the seed falling quantity and frequency and stabilizing the light source. The control cabinet is connected and fixed with the detection box and is used for controlling the angle of the illumination and camera assembly and the rotating disc camera. The storage box is arranged at the end of the conveying belt and is used for collecting the seeds falling on the conveying belt. The device can comprehensively record the sowing conditions of the seeds from multiple angles, effectively makes up the shortage of single-angle shooting, significantly improves the detection precision of the seed falling quantity, frequency and other information and provides more detailed data support for the sowing quality evaluation.

The invention discloses a welding production process cost management system and method. The method comprises the following steps: acquiring basic production process data of each process in the welding production process through a data acquisition module; business data analysis is conducted on the basic production process data through a business processing module based on a preset variable dictionary, business detailed data of all production process businesses are obtained, and variable parameters in data calculation are stored in the variable dictionary; and generating a cost summary report corresponding to the to-be-calculated cost item type through a cost summary module according to the to-be-calculated cost item type and the business detailed data. Unified integration of multi-source data, automatic and accurate cost calculation and full-life-cycle management are achieved, and accurate data support is provided for enterprise cost control and strategic decision making.

The invention relates to a large-space gas fire extinguishing system test platform, which comprises a large-space platform main body, a fire detection system, a gas fire extinguishing system and a control system, the control system comprises a server and a control program stored in the server, when the control program is executed, whether a fire occurs and the type of the fire are judged, and if yes, the gas fire extinguishing system is started. And then a fire extinguishing strategy is generated, the fire extinguishing system is controlled to extinguish fire, whether reburning occurs or not is judged, and finally fire extinguishing is completed. A large-space fire extinguishing system test platform is constructed, multiple parameters are fused and verified mutually, accurate measurement of fire scene parameters and accurate judgment of the fire scene state are achieved, multi-point-position three-dimensional measurement is achieved through a small number of sensors, detailed data of fire scene spatial-temporal characteristic parameters near a fire source are conveniently obtained, and the fire extinguishing effect is improved. And the fire extinguishing effectiveness test of the multi-mode fire extinguishing system of global submerging and local fire extinguishing can be simultaneously carried out.

1. Name of the product in this design: Graphical User Interface for Cordyceps Identification in Electronic Devices. 2. Application of this design: This design is applied to an electronic device. 3. The key design feature of this product is its graphical user interface. 4. The image or photo that best illustrates the design points: Interface change state diagram 1. 5. Purpose of the graphical user interface: This graphical user interface is used to collect Cordyceps data and realize multi-interactive data. 6. Description of the graphical user interface changes: Enter your account and password in the main view, and click the "Bind Device and Log In" button to enter the interface change diagram 1; Interface change diagram 1 is the main interface of the Cordyceps Sinensis Intelligent Identifier APP. This interface is used to manage process data. Click "Wild" or "Propagation" to access the specific stored data and enter the interface change diagram 2; Interface change diagram 2 is the detailed data display page of the identified Cordyceps Sinensis. 7. Other situations requiring explanation: Other explanation: The blurred parts in the interface are replaceable text or numbers.

The invention relates to the technical field of vision change prediction, in particular to a vision change prediction method based on a random forest algorithm. The method comprises the following steps: S1, collecting basic data related to vision change; s2, identifying features having significant influence on vision change by using a vision correlation method; s3, using a random forest as a prediction model, and training the prediction model through a retraining mechanism; and S4, performing vision change prediction on the new data by using the trained prediction model. According to the technology, through detailed data preprocessing steps including missing value removal or filling, abnormal value processing, data standardization or normalization and feature selection, the data quality and effectiveness of an input model are ensured, in addition, the vision correlation coefficient is optimized, and the accuracy of the vision correlation coefficient is improved. Particularly, the nonlinear relation and interaction among age, intraocular pressure and diopter are considered, so that the model can more accurately capture key influence factors of vision change.

The application discloses a fire-fighting situation evolution prediction method based on dynamic deep learning and belongs to the technical field of fire fighting. Through construction of a basic database and a dynamic model library, the basic database comprises local weather data in previous years, real-time weather data, short-term weather prediction data, building detailed data (including stair modeling data) and historical fire case data; the dynamic model library comprises a weather-fire correlation model, a stair modeling and air power simulation model and a dynamic deep learning prediction model, the model library is pre-trained by using the basic database data, stair modeling and air power simulation are realized, and the model library is in line with the actual building: the model is specially made for the stair, airflow influence is simulated, the fire spread in key passages such as staircases can be accurately predicted, and the effect of solving the pain point that the prior art ignores building details is achieved.

The invention discloses a big data management method and system based on semantic analysis, and relates to the technical field of big data management. A multilayer semantic abstract data organization structure comprising a base layer, a mode layer and a statistical layer is constructed, real-time semantic analysis is performed on input data, and semantic descriptors are generated; the high-frequency data instance in the base layer is stored to a corresponding level according to a central semantic index, a semantic folding operation is triggered based on a preset rule, the high-frequency data instance in the base layer is automatically abstracted into a modeled representation of a mode layer, and similar representations in the mode layer are further aggregated into an aggregated representation of a statistical layer; when the query is responded, the system analyzes a query intention and determines a target data abstraction level, high-level aggregation or modeling representation is restored into bottom-layer detailed data as required through reverse expansion operation, and a query result is generated; through the multi-layer semantic abstract data organization structure and the data folding operation, the storage efficiency of mass complex data and the performance of multi-granularity intelligent query are effectively improved.

The system according to the embodiment aims to generate an avatar of the user based on information extracted from an SNS and to collect detailed data through the avatar. [Solution] A system according to an embodiment includes an information extraction unit, an avatar generation unit, and a behavior collection unit. The information extraction unit extracts user information from a social networking service. The avatar generation unit generates an avatar of the user based on the information extracted by the information extraction unit. The behavior collection unit collects behavioral data of the avatar generated by the avatar generation unit as it acts in a virtual environment.

The present application relates to a distributed data warehouse construction method for hydropower production equipment health monitoring, comprising: analyzing hydropower equipment data application requirements to determine the analysis theme of the hydropower equipment; constructing a data warehouse layered architecture comprising an original data layer ODS, a detailed data layer DWD, a service data layer DWS, a theme data layer DWT, and a data application layer ADS; establishing a hydropower production equipment data model; and constructing a hydropower production data warehouse physical model comprising dimension tables and fact tables. The present application realizes unified extraction, conversion and loading of various system data sources of the hydropower plant, guarantees data quality, and breaks data silos; realizes centralized and unified management of data, utilizes data backup, data security control and access permission management functions of the data warehouse to ensure data security and reliability; reduces manual workload for data collection, arrangement and management, and improves data processing and analysis efficiency.