115 results about "Data archive" patented technology

The invention discloses a project side end data fragmentation recombination and service breakpoint resuming method in a weak network environment, and the method comprises the steps: receiving original service data collected on site through a project side end, carrying out the fragmentation according to the division of a construction region and a time interval, and generating a fragmentation data package with a time-space identifier and a check code; verifying the received fragmented data packet, and generating a fragmented cache set with a processing progress; when all fragments of a certain region-time fragment in the fragment cache set are received, the preprocessing progress of the corresponding service is read from the persistent file, and remaining service processing continues to be executed from the progress interruption position; and integrating the recombined original data of each region-time slice, the business processing result, the breakpoint resume record and the fragment transmission log, and generating a business data file containing a complete data chain and a processing track. By utilizing the embodiment of the invention, the data transmission efficiency and the service continuity in a weak network environment can be improved, and the reliability requirement of a project side end scene is met.

The invention relates to the technical field of medical information processing, in particular to a femoral head necrosis treatment effect prediction and analysis platform and method based on big data. The platform comprises a femoral head necrosis file generation module, a femoral head image feature analysis module, a femoral head treatment feature analysis module and a treatment effect prediction analysis module, and can obtain femoral head necrosis treatment multi-source medical data, perform data standard cleaning and medical file integration, and perform femoral head feature analysis at the same time. Image features of the femoral head necrosis tissue are obtained; based on the femoral head necrosis treatment data file, femoral head necrosis treatment staging and femoral head necrosis treatment feature analysis are carried out, and femoral head necrosis treatment basic features are obtained; and performing treatment effect influence feature screening and treatment effect prediction analysis on the femoral head necrosis tissue image features and the femoral head necrosis treatment basic features so as to predict and output a corresponding femoral head necrosis treatment effect. According to the invention, accurate prediction of the treatment effect of femoral head necrosis can be realized.

Some implementations include a system configured for real-time well path optimization of a wellbore being drilled into a subsurface formation, the system comprising: a downhole tool including a resistivity sensor; a drilling assembly coupled to a drill bit, the drilling assembly including the downhole tool; and a learning machine configured to, compare an input image of a resistivity inversion against an archive of historical data; generate, based on the comparison, a real-time well path suggestion; and output the real-time well path suggestion to a user interface.

The invention relates to the technical field of environment-friendly production equipment control, and discloses a multi-equipment cooperative dust removal control system for an environment-friendly production line. The system comprises a dust data acquisition module for acquiring and dividing operation data flow of production line equipment; the dust state reconstruction module is used for generating a dust and airflow distribution situation map; the dedusting efficiency evaluation module is associated with the situation map to determine a dedusting level; the regulation and control strategy generation module is used for matching control strategies; and the cooperative control unit performs bidirectional verification to generate a cooperative dust removal instruction. The system is also provided with an industrial communication gateway for realizing protocol interaction, an equipment linkage module for optimizing a dust removal process, an instruction issuing module for controlling equipment operation, and a data archiving module for storing data and generating a record chain. The system can comprehensively collect dust data, accurately evaluate the dust removal efficiency, efficiently cooperate with multi-equipment dust removal, improve the dust removal effect and management level of an environment-friendly production line and reduce energy consumption, and has a good application prospect.

The invention discloses a data modeling-based home decoration field information processing system, method and device, and a medium, and the system comprises a BIM model generation module which is used for restoring a field environment by using a point cloud technology, and generating a BIM model; the design module is used for carrying out home decoration design on the BIM model and generating a home decoration design scheme; the cost estimation module is used for estimating the cost of the home decoration design scheme; the permission management module is used for managing permissions of all parties of home decoration project participants; the central server is used for synchronizing data in the cooperative work process of all parties in real time; and the archive management module is used for constructing a home decoration project full-life-cycle data archive. Compared with a traditional decoration mode, digital, intelligent and fine management in the field of home decoration is achieved. Through continuous iteration and optimization of the data model, the transparency and accuracy of project management can be significantly improved.

The invention relates to the technical field of archive management, and discloses a comprehensive archive management system and a management method thereof.The system comprises a pre-archiving function plate, an archive receiving function plate, an archive management function plate, an archive utilization function plate and a system setting function plate; the pre-archiving function plate is used for receiving original data and displaying pre-archiving information; the archive receiving function plate is used for receiving the data transmitted from the pre-archiving function plate, reorganizing the data to form archiving data and storing the archiving data as archives; the archive management function plate is used for summarizing, displaying and managing archived data; the archive utilization function plate is used for a user to retrieve, borrow and compile archives; the system setting function plate is used for maintaining archives and setting archive management strategies; a permission adjusting module is arranged in the system setting function plate; the authority adjusting module is used for dynamically adjusting user authority. The system provided by the invention is relatively high in intelligent degree, and can realize comprehensive, efficient and safe archive management.

The invention discloses an intelligent water affair water resource tracing and transaction management system fused with a block chain technology, and the system comprises the following steps: a data collection and preprocessing module which is used for collecting real-time water affair data, carrying out the preprocessing of the real-time water affair data, and forming a structured data file; the parameter optimization and intelligent early warning module is used for constructing an anomaly detection model and performing global adjustment; the consensus verification module is used for performing consensus verification based on a practical Byzantine fault-tolerant consensus algorithm; the secure uplink and transaction management module is used for performing secure uplink on the data after the consensus verification to form a non-tampering data storage certificate; and the automatic response and decision support module is used for automatically triggering an intelligent contract and executing water resource scheduling, transaction management and emergency response operation. According to the invention, the block chain, the Internet of Things and an intelligent optimization algorithm are fused, real-time collection, accurate detection, safe chaining and automatic management of water resource data are realized, and the efficiency and transparency of the intelligent water affair system are significantly improved.

The invention relates to the technical field of community emergency management, and discloses a community multi-mode emergency event grading response system. The multi-modal data acquisition module acquires and divides community multi-modal sensing data, the event feature extraction module respectively analyzes and generates event feature sets, the grading evaluation module fuses features to match emergency event grades, the response decision module calls a target response scheme according to the grades, and the central processing unit verifies related parameters to generate a final response instruction. The system is further provided with a resource scheduling module for optimizing emergency resource allocation, an instruction feedback module for triggering equipment response action, and a data archiving module for storing data to form an event record chain. According to the system, multi-modal data deep processing, accurate grading evaluation and intelligent response decision making are realized, the community emergency management efficiency and the intelligent level are improved, and the community safety is guaranteed.

The invention discloses a shutdown system-oriented data intelligent archiving management system, which comprises a data acquisition and preprocessing module, a data storage module, a data management module and a data management module, and is characterized in that the data acquisition and preprocessing module is used for acquiring an original operation data set in a shutdown system; the data feature extraction and evaluation module is used for performing multi-dimensional feature extraction on the preprocessed shutdown system operation data set; the data screening module based on hybrid firework optimization is used for performing global search and parameter optimization on the data feature data set; the dynamic entropy weight clustering analysis module is used for performing dynamic entropy weight clustering analysis on the optimized rescue archiving data set; the archiving path optimization and storage resource allocation module is used for closing a system storage hierarchy model and a real-time system state in combination with an archiving data classification result; and the archiving task execution module is used for executing rescue archiving operation according to the archiving task plan. The invention ensures that the key data can be preferentially selected to enter the archived data set.

The invention relates to the technical field of data storage, in particular to an enterprise financial data security storage management system and method based on the Internet of Things. The method comprises the following steps: acquiring an enterprise financial data transmission log based on the Internet of Things, and performing data cache chain node trust anchoring to obtain trust authentication equipment data; according to the data of the trust authentication device, analyzing a hop trust transmission node to obtain a hop trust transmission map; performing structured enhancement by using the trust authentication device data to obtain to-be-encrypted bill data; chain side security consensus packaging is carried out on the to-be-encrypted bill data to obtain a verifiable consensus block; performing multi-label traceability control filing on the verifiable consensus block to obtain a traceability label filing body; and performing jump point transmission on the traceability label archive body to an enterprise private database by using the jump point trust transmission map so as to execute a data archiving task. According to the invention, the stability and security of enterprise financial data storage are significantly enhanced.

The invention discloses a post-radiotherapy patient nursing auxiliary decision-making system based on artificial intelligence, and relates to the field of medical rehabilitation nursing, and the system comprises a management and control module which serves as a core management end of each function module and carries out the editing and sending of a control instruction; the data archive library is used for storing all the collected user personal data and analysis data thereof; the data acquisition module is used for acquiring basic physique data, illness state related data and radiotherapy plans of the patient through a preset period; individual data of patients are analyzed through a prediction model, personalized nursing suggestions are generated based on medical history, health indexes and radiotherapy plans, personalized nursing schemes are provided for each patient according to curative effect analysis of similar patients, customization is carried out according to unique illness states, physiques and treatment plans of the patients, professional knowledge and data in the medical field are combined, and the patient health management system is established. Potential abnormal changes are output, and patients and medical staff are helped to make timely decisions.

The invention relates to the technical field of information intelligent management, and discloses an enterprise archive informatization intelligent management system based on big data, which comprises an archive repository, and an information management control center is arranged in the archive repository. The information management control center comprises a cloud archive database, a data entry module, a data conversion module, a data encryption module, a retrieval module, a data analysis module and an enterprise department archive database. The data conversion module is arranged, the data information standard is established, and the hyperlink for connecting the original uploaded enterprise department data archive library is established for the retrieved information through the retrieval module, so that the step of data sharing during cross-department query is greatly reduced, and the initial file of archive data of the corresponding identity confidentiality level can be directly queried; therefore, understanding deviation caused by different paraphrases, standards and units during data conversion and department communication can be avoided, and accuracy and timeliness during data file transmission and sharing are guaranteed.

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 relates to the technical field of education, and discloses a method for multi-dimensional ability assessment and training of teenagers and children, comprising the following steps: S1, data collection and preliminary assessment: collecting basic information of age, gender, past academic records and health conditions of the teenagers and children, and constructing a data file; according to age, a professional evaluation scale and test questions are used to carry out primary evaluation on multi-dimensional ability of cognition, memory, attention, learning difficulty and reading disorder, data are recorded, and standardized cognitive ability test questions are used to inspect cognitive level of children. According to the method and the system for multi-dimensional ability evaluation and training of the teenagers and children, basic information such as ages, genders, previous academic records and health conditions of the teenagers and children is comprehensively collected, professional evaluation scales and standardized cognitive ability test questions are applied, and the abilities such as cognition, memory and attention of the children are primarily evaluated from multiple dimensions.

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;

Methods, apparatus, and processor-readable storage media for data archival recommendation systems using artificial intelligence techniques are provided herein. An example computer-implemented method includes processing data associated with database operations performed across multiple database storage zones in one or more databases; generating, using one or more artificial intelligence techniques and based at least in part on the processing of data associated with the database operations performed across the multiple database storage zones, one or more temporal-based data archival recommendations for at least a portion of the multiple database storage zones in the one or more databases; and performing one or more automated actions based at least in part on the one or more temporal-based data archival recommendations.

The application discloses a kind of engineering edge-end data fragment reorganization and service breakpoint continuation methods under weak network environment, method includes: through engineering edge-end, original service data collected in situ is received, and it is fragmented according to construction area division and time interval, generates the fragmented data packet with space-time mark and check code;The fragmented data packet received is checked, and the fragmented cache set with processing progress is generated;When all fragments of certain area-time segment in fragmented cache set are received, the pre-processing progress of corresponding service is read from the persistent file, and the remaining service processing is continued from the progress interruption point;Integrate the reorganization original data of each area-time segment, service processing result, breakpoint continuation record and fragmented transmission log, generate the service data archives containing complete data chain and processing track.Using the embodiment of the application, the data transmission efficiency and service continuity under weak network environment can be improved, and the reliability requirement of engineering edge-end scene is met.

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 invention provides a lifting displacement machine attitude optimization method and system based on biomechanical analysis, and relates to the technical attitude optimization field, and the method comprises the following steps: obtaining operator somatosensory data, building a man-machine interaction model to calculate joint stress, and mapping the somatosensory data into a control instruction; a deep reinforcement learning network online optimization model is used, and physical exhaustion minimization and task efficiency maximization are taken as targets; and acquiring stress data in real time to evaluate the motion state and generate a correction instruction to adjust the motion posture. User experience is emphasized, and uniform stress of a patient is ensured through real-time force feedback and posture optimization; establishing a data file to monitor vital signs; a friendly interaction interface and voice prompt are provided, so that the psychological burden of the patient is relieved; scientific displacement postures can assist in evaluating the rehabilitation progress. According to the invention, the working intensity of an operator can be reduced, the safety and comfort of a patient in a displacement process are obviously improved, the win-win situation of medical staff and the patient is realized, and the occupational injury risk of the medical staff is effectively reduced.

The invention relates to the technical field of archive data storage, in particular to an archive type geological data archive data storage system and method, and the system comprises a geological data collection module, a geological data storage module, a geological data utilization module, a virtual 3D storehouse module, a digital core image library module, and a provincial geological data database management system. According to the archiving type geological data archive data storage system and method, the information technology, the database technology, the network technology and the three-dimensional modeling technology are fully utilized, online submission, online examination and approval, data export, data import, manual input and receipt printing of a geological data list are achieved, and digitization of related document data, picture data and photos of geological data is achieved; multi-method query and online display of geological data are realized, the process of utilizing the geological data is applied, establishment of a 3D model of a geological data warehouse and a digital core image library is realized, and management and utilization of the geological data are facilitated.

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 invention relates to the technical field of health management, in particular to an exercise health management method based on a big data technology. Comprising the steps of data acquisition, and the data acquisition comprises file establishment, item physical examination, exercise knowledge training, analysis of corresponding individual conditions, adjustment of exercise amount corresponding to the individual conditions, body function detection after exercise, evaluation according to the exercise, and corresponding adjustment and information data updating according to a result; the item physical examination is arranged at the rear end of the file establishment, the exercise knowledge training is arranged at the rear end of the item physical examination, the corresponding individual condition analysis is arranged at the rear end of the exercise knowledge training, and the corresponding individual condition adjustment exercise amount is arranged at the rear end of the corresponding individual condition analysis. And the post-exercise body function detection row is arranged at the rear end of the corresponding individual condition adjusting exercise amount. The method has the advantages that a scientific data file is established, analysis is performed according to a physical examination result, targeted adjustment is performed, and the method can be used for exercise health management.

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 disclosed data storage management system enables data owners to model the costs and attributes of archiving their data and to readily capture and implement one or more resultant archiving plans. Modeling enables data owners to make informed choices about cost profiles before data is actually archived. Archiving plans devised according to these choices are intended to save on data storage costs and provide a compliance-ready data archive in cloud storage repository(ies). Armed with archiving simulations supplied by the illustrative data storage management system, a data owner may control data placement to predict costs, free up primary storage, and move inactive data to less expensive archive storage. Preferably, the disclosed system is implemented as a software-as-a-service (Saas) solution, and the accompanying archive storage is implemented as a cloud storage service, but the invention is not limited to SaaS or to cloud-based data archives.

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.

To store data efficiently.SOLUTION: An arithmetic unit selects one or more pre-processing data pieces that are generators of post-processing data for one or more archive candidates, select a first pre-processing data that satisfies predetermined conditions from the one or more pre-processing data pieces and moves the first pre-processing data from a pre-processing data area to a pre-processing data archive area, and deletes the first post-processing data generated using the first pre-processing data and satisfying the predetermined conditions from a post-processing data area without archiving it. The conditions for selecting the first pre-processing data include a condition that the first pre-processing data is the generator of multiple types of post-processing data pieces. The arithmetic unit generates the first post-processing data using the first pre-processing data in the pre-processing data archive area in response to an access request from an application for the first post-processing data and returns it to the application.SELECTED DRAWING: Figure 1A

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: storing an archiving task of data into a first-level cache; when the storage amount of data in an i-level cache reaches a moving condition, moving the archiving task in the i-level cache to an i+1-level cache; the capacity of the i-level cache is smaller than that of the i+1-level cache, the performance grade of the i-level cache is higher than that of the i+1-level cache; the i is a positive integer; batch taking out the archiving task from the last-level cache; and writing the archiving task into a database according to the archiving execution time of the archiving task. Through the change of the performance of the multi-layer storage medium, the performance of the first-level cache responding to the archiving task of the server is optimal, the performance of the storage medium decreases and the capacity increases with the increase of the level, the cost and performance are considered at the same time while the read-write speed is ensured, and the reliability of the archiving is 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.