46 results about "Data archive" patented technology

The invention provides a user portrait method and device for driving training learning, electronic equipment and a medium, and belongs to the technical field of information recommendation, and the method comprises the steps: collecting multi-source heterogeneous data of a student, carrying out the data preprocessing, and obtaining a student data file, the multi-source heterogeneous data comprises learning stage data, capability evaluation data and basic attribute data; based on the trainee data file, extracting two-dimensional features of trainees, including obtaining learning stage features according to division of passing states and learning progress completion rates of driving test subjects, and quantifying the mastering degree of subdivided test points under weak subjects based on a weighted scoring algorithm to obtain weak subject features; and fusing the two-dimensional features and the basic attribute data, and constructing a student portrait including a learning stage label and a weak subject label. According to the invention, the accuracy of the user portrait is improved.

The invention discloses an archive informatization integration method and system based on deep learning, and relates to the technical field of computers. The method comprises the following steps: receiving a paper archive digital scanning image, paper archive layout structure information, electronic archive text data, photo archive image data, an audio and video archive and a transfer text thereof, external business system structured business data, archive original metadata fields, user identity information and user role information; and submitting a query request and a cross-modal query request by a user. According to the method, unified format analysis, text standardization, image correction and metadata verification are performed on heterogeneous archive data from different sources and different formats, so that the problems of fragmentation and non-structuring of the archive data are solved, and standardization and high-quality input of the archive data are realized; performing semantic coding on the multi-modal archive data by using a deep learning technology to generate an archive semantic vector set;

The invention provides a special equipment detection scheme generation method and system, equipment and a medium, and belongs to the technical field of special equipment and artificial intelligence application, and the method comprises the steps: collecting data of target equipment to construct a data file, employing LSTM, CNN and Transformer encoders to extract time sequence, image and text features respectively, and fusing the features to obtain a detection scheme; intelligent evaluation of the equipment is realized; based on the evaluation result, generating an initial test scheme in combination with rule constraint and historical case recommendation; performing simulation prediction on the scheme through a digital twinborn environment, and performing multi-objective optimization by adopting reinforcement learning to obtain a safe, economic and efficient-balanced optimal test scheme; and finally, outputting the scheme, and performing feedback updating on the evaluation model according to an actual test result to form a closed-loop learning mechanism. According to the method, the test scheme is converted from experience driving to data intelligent driving, and the capabilities of personalized formulation, look-ahead optimization and sustainable evolution are improved.

The invention relates to a data archiving method and device for engineering archives, and relates to the technical field of data analysis, a scanning device is used for scanning files and drawing data in paper archives to obtain archive image information, and archive images obtained through scanning are processed to obtain archive image information; the processing comprises carrying out image enhancement and tilt correction on the scanned archive image, the image enhancement comprises adjusting contrast, brightness and definition, and the tilt correction comprises carrying out tilt correction on the scanned archive image through feature matching, sorting the processed archive image, and carrying out image processing according to items, dates and types. According to the method, file data and keywords are labeled, a document index table is established for subsequent retrieval and management, and the sorted file data are migrated to a cloud storage platform for data backup so as to prevent accidental data loss and damage.

The present application relates to a kind of method for realizing rural landscape management based on oblique photography and image recognition technology, which utilizes oblique photography and image recognition technology to extract and manage the landscape of rural buildings. Specifically, the present application forms a three-dimensional real scene model and an orthographic image by oblique photography technology, then extracts the buildings by the technical method of image recognition classification supervision, and combines linear regression calculation to optimize the building range line, establishes building model and data archives. Based on this, it summarizes the landscape parameters, discriminates the landscape coordination of new buildings, and discriminates the landscape coordination of village construction changes. The present application can quickly collect and identify the rural landscape situation, realize multi-dimensional management of rural construction and the establishment of landscape control standards, build a rural landscape management system, and also can conveniently and efficiently complete the dynamic update of village landscape situation, realize the dynamic supervision of village landscape.

The application relates to a data archiving method, a system, an electronic device and a storage medium, wherein the data archiving method comprises the following steps: obtaining to-be-archived data after database and table division and shard element information of the to-be-archived data; inserting a streaming service into the to-be-archived data, performing streaming processing on the to-be-archived data according to at least the shard element information and unique identifier information corresponding to the streaming service, obtaining first synchronization data; creating a distributed database according to the shard element information and synchronizing the first synchronization data to the distributed database for distributed storage, obtaining second synchronization data; and taking the second synchronization data as a data archiving result. Through the application, the problem that archived data cannot be quickly queried and the high maintenance cost are solved, and quick storage and query of data archiving results are realized.

The invention relates to a data archiving method and device, a storage medium and electronic equipment, and relates to the technical field of power transaction and data archiving, and the method comprises the steps: firstly obtaining archiving data corresponding to different business systems and archiving indexes corresponding to the archiving data; in response to a received data archiving instruction corresponding to the archived data, verifying the archived data according to the archiving index, and obtaining a data verification result corresponding to the archived data; and if it is determined that the data verification result is that the data verification is passed, executing an archiving operation of the archived data according to the archiving index, and generating an archiving verification result of the archived data. Through the scheme of the invention, the data archiving service can be provided for different business systems, the archiving index verification of the archived data is realized, the conditions of incomplete archiving, missing archived data, wrong archiving data and the like are reduced, and the data archiving quality is further improved.

Systems and techniques that facilitate creation and archiving of controlled structures are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory that can execute the computer executable components stored in memory. The computer executable components can comprise a categorizer component that categorizes a set of data into categories based on respective attributes of subsets of the set of data; a reorganizer component that reorganizes the set of data into a controlled structure based on one or more categories; and a combiner component that combines and delimits entries within one or more segments of the controlled structure.

The invention relates to the technical field of fuel intelligent management and control, and particularly discloses a sampling and processing integrated automatic control method and system based on batch management. The method comprises the following steps: firstly, creating a full-process dynamic data file with a unique identifier ID for each batch of materials; in the sampling link, a sample is bound with the intelligent container, and the multi-dimensional identity features are associated; in the sample processing process, operating parameters are collected in real time and compared with a preset standard, and the process confidence coefficient of the data file is dynamically calculated and updated; during sample circulation, bidirectional ID verification is carried out through a handshake request, decision making is carried out in combination with the process confidence coefficient, and subsequent equipment is authorized to be started only when verification is passed and the confidence coefficient is higher than a safety threshold value; when the sample is segmented, the data file is also split and completely inherits historical information. Through active inquiry and dynamic evaluation, forced consistency of physical samples and digital information in the whole process is realized, and the reliability of quality detection results is ensured.

This disclosure provides a method, electronic device, and storage medium for ship voyage load inversion. It constructs a voyage trajectory and draft sequence set based on AIS data, archival data, and call-in data. For each voyage segment, it determines the draft threshold corresponding to the target ship. Based on the comparison between the observed target draft and the draft threshold, it determines the loading status of the target ship. For each voyage segment, it determines a load inversion model based on the loading status. It extracts the target ship's dimensional parameters from the archival data and inputs the observed target draft and dimensional parameters into the load inversion model to obtain the first predicted load range for the target ship in the corresponding voyage segment. Based on the first predicted load ranges for multiple voyage segments, it determines the second predicted load range for the target ship in the voyage. This method achieves voyage-level load inversion by splitting voyage segment predictions, improving the accuracy and precision of load inversion.

The application discloses an intelligent monitoring system of an electrified tea frying device, which comprises a sensing and collecting module, a data hub module, an intelligent analysis module and a decision execution module; the sensing and collecting module is used for synchronously collecting tea frying device operation condition parameters and multi-dimensional physical state information of tea in a processing process; the data hub module is electrically connected with the sensing and collecting module and is used for performing time scale alignment, cleaning, fusion and standardization treatment on collected multi-source heterogeneous data and storing the multi-source heterogeneous data in association with batch information; the intelligent analysis module is electrically connected with the data hub module and runs a process early warning sub-model and a quality evaluation sub-model in parallel based on a holographic data file. The application relates to the technical field of tea intelligent processing equipment, and the system constructs a multi-dimensional sensing network of device conditions and tea body states, introduces a cooperative feedback mechanism, realizes accurate sensing, intelligent early warning, self-adaptive control and continuous evolution of process knowledge on a frying process.

The application discloses a mobile crane safety supervision system and relates to the technical field of crane safety supervision.The system comprises a detection module, a vision module and a control module.The control module is configured to acquire image information fed back by the vision module, identify the orientation of a hook nameplate and an anti-unhooking tongue piece based on the image information, obtain hook nameplate information and anti-unhooking tongue piece orientation information, establish corresponding data archives based on the hook nameplate information and store the data archives in a preset database, control the detection module to execute a preset pre-operation inspection process based on the anti-unhooking tongue piece orientation information if pre-operation inspection demand information initiated by an operator is received, identify hook mounting based on the image information, and control the detection module to execute a preset operation monitoring process if it is identified that a load is mounted to the bottom of the hook.The application has the effect of improving the reliability and data traceability of hook safety inspection and reducing the incidence of serious safety accidents.

The disclosed systems and methods relate to searching archived communications. A computing device can receive device communications captured for a communication modalities. The computer system can generate data in a single information structure comprising the device communications captured for the communication modalities. The computer system can generate a transcript of an interaction between participants for the communication modalities based at least in part on the data in a single information structure. The computer system can store the transcript of the interaction between the participants in the data archive.

The invention discloses a software control system and method for a spatial special energy management device. The system comprises a device control system arranged in the spatial special energy management device and a simulation test system interconnected with the spatial special energy management device. The device control system is used for receiving a satellite service platform instruction, performing power supply and distribution management, operation control, reconstruction control, index measurement, state monitoring and communication tasks on the space special energy management device after analysis, synchronously tracking the operation state of the device and information of each equipment state, and performing fault detection and diagnosis; the simulation test system is used for completing demand acquisition, remote control scheduling, telemetering monitoring, data storage and data playback, and outputting a test analysis result and a data archiving file; according to the invention, the software control of the spatial special energy management device can be realized, the real-time performance and reliability of the spatial special energy management device are improved, and the simulation test verification of the spatial special energy management device is realized at the same time.

The invention relates to the technical field of intelligent energy management, and discloses a management method of an energy storage power station cloud management platform, comprising the following steps: S1, starting an operation and maintenance closed loop; s2, executing an operation and maintenance closed loop; s3, closing the operation and maintenance closed loop and starting the research and development closed loop: taking the closing action of the operation and maintenance closed loop as a trigger, starting the research and development closed loop, and generating a fault data file; s4, executing and closing a research and development closed loop: executing quantitative evaluation of a data value index according to the fault data file; and differential actions are executed according to the data value indexes, value-driven pushing is completed, and closed-loop closing is researched and developed. Through the double-closed-loop management method combining the operation and maintenance closed loop and the research and development closed loop, the data from operation and maintenance to research and development can be communicated and flow, the data is ensured to be complete and lossless, the data flow period is effectively shortened, the feedback efficiency from operation and maintenance to research and development is improved, the product improvement lag is avoided, the phenomenon of frequent faults of the operation and maintenance end is reduced, and the reliability of the system is improved. And the reliability of the energy storage equipment is improved.

The application relates to the technical field of hardware equipment quality tracing, and discloses a hardware full-life-cycle quality tracing method and system based on IoT, which comprises the following steps: acquiring multi-dimensional real-time data flow and arranging the same into a real-time running data set; extracting distribution characteristics based on a historical data archive to obtain a benchmark reference space; projecting the real-time data to calculate a deviation quantitative value, correcting environmental deviation when the deviation quantitative value exceeds a threshold value to obtain a deviation result; extracting degradation characteristics to match historical trajectories to locate a degradation process; performing time sequence analysis to predict residual life to obtain a failure time window; and generating and arranging maintenance intervention instructions into a scheduling instruction set. The method realizes hardware full-life-cycle quality tracing and early abnormality early warning, improves maintenance accuracy, and reduces fault loss.

The invention relates to a particle suspension shear rheological prediction method based on pressure control, and the method comprises the steps: S1, obtaining reference data, constructing a simulation model, and verifying the simulation model; s2, different grading samples are constructed, multi-working-condition coupling simulation is carried out, mu-Iv data is obtained, preprocessing and unified sampling are carried out, and an original data set is established; s3, constructing and training a random forest shear rheological prediction model, performing hyper-parameter optimization, and performing forward prediction to output a mu-Iv curve; s4, an Iv partition rheological model is established and verified, a target working condition demand and constraint condition input module is constructed, a reverse solution module of target reverse design is constructed based on the forward prediction model in the S3, grading optimization is carried out, and a comprehensive optimal solution scheme is output; and S5, an output result in the S4 is substituted back to the CFD-DEM coupling simulation model for verification, closed-loop correction is carried out, and a traceable data file is formed. According to the method, a fine particle / coarse particle addition amount or proportion adjustment amount grading optimization scheme is output.

The invention relates to a data archiving configuration method, a data archiving method, a data archiving system and data archiving equipment, and belongs to the technical field of data processing.The data archiving configuration method comprises the steps that in response to configuration operation of a user on the relation between service models through a user interface, a class diagram representing the relation between the service models is constructed; wherein different business models correspond to different business data; acquiring a data archiving condition configured for the business model; and generating an archiving scheme of the business model according to the data archiving condition and the class diagram. The class diagram-based data archiving configuration method provided by the invention is easier to operate by a user.

1. Name of the product in this design: Graphical User Interface for Vital Signs Monitoring Settings in Electronic Devices. 2. Purpose of this design: An electronic device. 3. The key design features of this product are its graphical user interface content. 4. Images or photos that best illustrate the design key points: Interface state change diagrams. 5. Purpose of the graphical user interface: Used for setting up vital sign monitoring in electronic devices and setting up data files for vital sign monitoring. 6. Human-computer interaction method of graphical user interface: In the main view interface, click "Set Data Archive" on the left to enter the interface change state diagram.

The application discloses a kind of geophysical network multidimensional data visualization analysis method and system, specifically related to physical station data visualization technical field;The application establishes the correlation mechanism of earthquake, geomagnetic, gravity data by creating earthquake number, integrates the scattered multi-source data into structured earthquake data package and abnormal data package, forms complete earthquake data archives, then through sub-time zone division, historical benchmark comparison and other methods, the vertical component of magnetic field, horizontal component, magnetic declination and gravity acceleration and other parameters are converted into quantifiable vertical performance value, horizontal performance value and other indexes, and a closed quadrilateral is constructed to intuitively present the relationship of multidimensional data, solve the problem that the prior art cannot form complete earthquake data archives, thereby restricting the depth of earthquake precursor signal mining.

This application relates to a data archiving method, computer equipment, computer-readable storage medium, and computer program product, belonging to the field of big data technology. The method includes: acquiring target data to be archived; during the synchronization of the target data to a data warehouse, providing feedback on the data synchronization status of the target data to the client; once the target data has been synchronized to the data warehouse, archiving the target data in the data warehouse to an archiving storage area, and providing feedback on the data archiving status of the target data in the archiving storage area to the client; instructing the client to display the data archiving status of the target data once it has been synchronized to the data warehouse; and ensuring that data modification permissions for the target data already archived to the archiving storage area are disabled. This method ensures the security of data archiving.

A system generates a plurality of data archives using a plurality of backup agents in the distributed backup system, wherein each respective backup agent is configured to: create a respective data archive; build a respective data index while populating the respective data archive such that a data chunk is indexed simultaneously with the data chunk being added to the respective data archive; and upload the respective data archive and the respective data index to a centralized storage of the distributed backup system. The system receives, by the centralized storage, the plurality of data archives and a plurality of data indexes from the plurality of backup agents, and merges, by the centralized storage, the plurality of data indexes for access by a user.

The invention relates to the technical field of micro-motion sensor detection, and discloses a stability test method and system for a micro-motion sensor, and the method comprises the steps: determining a first preset number of test points according to coordinate parameters and a to-be-detected target; determining a test environment according to the environment parameters; according to the test environment and each test point, obtaining a measurement value of each test point and a standard value of each test point; determining an error value of each test point according to the measured value of each test point and the standard value of each test point; when the error values are smaller than a first preset value, marking the test environment detected by each test point as a general environment file; and when any error value is greater than or equal to a first preset value, determining a calibration coefficient of each test point, and according to the calibration coefficient of each test point and a test environment detected by each test point, generating a calibration data file to ensure the precision and consistency of the micro-motion sensor in a complex working environment.

The invention discloses an on-line test method and system based on an electronic tag, particularly relates to the technical field of product identification analysis, and is used for solving the problem of space-time dislocation between an electronic tag reading event and a test data acquisition event caused by movement of a tested object in a continuous movement conveying scene. Motion state information of a measured object is acquired in real time, phase-space reconstruction is performed on the measured object, recurrence plot quantitative characteristics are calculated to evaluate a deterministic chaotic disturbance level, accordingly, a dominant oscillation mode is extracted, and an instantaneous phase of the mode at a label reading and data acquisition event moment is acquired; a phase-locked loop is configured by using a chaotic disturbance level, whether a phase locking state is reached is judged by analyzing phase difference evolution between two phases, and when the phase locking state is reached, a tag identifier is analyzed to call and execute a corresponding test program. And collecting test data, calculating an actual physical point location associated with the data based on the motion state information and the event moment, and finally generating a test data file.

The invention discloses a limit scooter structure design management method based on three-dimensional modeling, and relates to the technical field of computer aided design, and the method comprises the steps: collecting target playing method information and safety risk information of a limit scooter, and converting the target playing method information and the safety risk information into a design demand list; based on the design demand list, uniformly defining the parameter range of each structural part of the scooter, generating a three-dimensional scooter data body, and synchronously forming a structural constraint list; performing targeted parameter adjustment on the three-dimensional scooter data volume according to the simulation evaluation result set, recording a design change record in the adjustment process, and generating a versioned structure data file; the three-dimensional scooter data volume is subjected to parameterization iteration based on a simulation evaluation result, a versioned structure data file is generated, a closed-loop feedback mechanism from failure recognition to directional optimization is established, and scientificity and implementability of limit scooter structure design are effectively supported.

The application relates to the technical field of big data processing, in particular to a data archiving method and device, computer equipment, a storage medium and a computer program product. The archiving start parameters and the archiving execution parameters corresponding to a target data warehouse are acquired. When it is determined according to the archiving start parameters that the target data warehouse needs to perform data archiving, the to-be-archived zipped list in the target data warehouse is determined based on the archiving execution parameters. Then, the zipped data in the to-be-archived zipped list that meets the preset open-close chain rule is subjected to data open-close chain processing to obtain a target zipped list. The data archiving processing can be directly performed on the to-be-archived zipped list that may contain un-closed zipped data, so that the slice data of some time points of the data object is prevented from being lost. Finally, the target zipped list is subjected to data archiving and cleaning processing based on the archiving execution parameters, the data archiving and open-close chain actions are automatically executed, the work intensity and the failure rate of operation and maintenance personnel are reduced, and automatic and effective data archiving is realized.

The application relates to a data archiving method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: obtaining first target business data to be archived of a plurality of users; sorting the first target business data to be archived according to a business type in the first target business data to be archived and business data corresponding to the plurality of users under the business type, obtaining second target business data to be archived and an archiving amount corresponding to the second target business data to be archived; calling a main process to group the second target business data to be archived according to the archiving amount and the number of work processes, obtaining at least one grouped business data; obtaining an archiving result of the at least one grouped business data from at least one first work process based on the main process; and obtaining an archiving result of the first target business data to be archived according to the archiving result of the at least one grouped business data. The method can improve archiving efficiency.

The invention relates to the technical field of medical information processing, in particular to a critical data extraction method and system based on natural language processing and a knowledge graph. The method comprises the steps of obtaining original medical record data, analyzing the original medical record data and outputting a structured text; identifying and extracting various clinical entities in the whole course of diagnosis and treatment in the structured text; associating the extracted clinical entities to a medical knowledge graph, mining a logical relationship between the entities, extracting time information, and constructing a clinical event time axis; the standardized and associated information is integrated, and a dynamically updated structured multi-dimensional clinical data file with time as the axis is generated; the system comprises a multi-modal data analysis module, a key clinical entity recognition module, a semantic fusion module and a structured file generation module. By means of the mode, efficient, complete and intelligent extraction and analysis of complete-cycle data of critical patients are achieved.

The invention provides a single crystal furnace drawing parameter dynamic optimization method based on real-time data analysis. The single crystal furnace drawing parameter dynamic optimization method comprises the following steps: acquiring surface parameters and internal state parameters in a single crystal silicon production process; carrying out missing value filling and standardization processing on the collected data; a cloud and decision-making end two-stage collaborative analysis modeling mode is adopted, feature mining is carried out at the cloud, and optimization reasoning is carried out at the decision-making end; according to the normal working condition and the abnormal working condition, conventional parameter adjustment and quality risk presetting operation are executed respectively; and after each furnace of monocrystalline silicon is drawn, collecting and storing production process data and final product quality data to form a complete production data file. Real-time monitoring of the internal state of the solid-liquid interface, dynamic parameter adjustment and rapid adaptation of a new furnace profile can be achieved, and therefore the problems that in the prior art, process optimization lags behind, monitoring is limited, and generalization is poor are solved.

The invention discloses a circulating packaging state monitoring and tracing method based on RFID, and the method comprises the following steps: setting an RFID tag on a circulating packaging container, collecting identity information and position information, and carrying out the preprocessing; collecting a state parameter set, and binding the state parameter set with the standardized data set; inputting an improved FEDform, converting into vector representation, and carrying out feature splicing, multi-layer coding and feature modeling; carrying out feature extraction, prediction, classification and time sequence alignment processing; acquiring data of a whole process link, performing time sequence splicing, and constructing a whole life cycle data chain; and associating and integrating the state monitoring record and the full-life-cycle traceability data, and generating a circular packaging full-life-cycle data file. According to the invention, RFID and an improved FEDform are fused, monitoring and tracing of the whole life cycle of circulating packaging are realized, and the method has the advantages of high traceability, accurate life prediction and accurate anomaly detection.