79 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 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 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 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 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 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 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.

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.

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.

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 discloses a chest pain patient medical data intelligent management method and system based on artificial intelligence, and the method comprises the steps: obtaining multi-source heterogeneous data in real time according to an electronic medical record, image data and an inspection report of a chest pain patient, converting the data from different sources into a standardized data format in a unified manner, and generating a time-synchronized multi-source data set; for the multi-source data set, identifying missing, wrong or incomplete parts in the data, and generating a patient data file through a data restoration model of the generative adversarial network; for the patient data file, recording the change history of the data in real time, and generating a real-time synchronous patient data file through a distributed data synchronization algorithm; and aiming at the real-time synchronized patient data file, generating a diagnosis suggestion and a treatment scheme, providing a basis and confidence of a diagnosis result, and generating a final intelligent diagnosis support report. According to the embodiment of the invention, the efficiency and accuracy of data management can be improved, and the diagnosis and treatment effects of patients with chest pain are improved.

An image archiving facility creates an image and other data archive relating to an event at a location when prompted by a downloaded application for a host user. The host user may approve guest users to upload to the archive. Approval may come from an image of a person uploaded to the data archive and recognized from biometric data as an approved user. The host may control viewing of images in the archive either individually or generically.

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 invention provides a method for supporting data archiving and transparent access, and relates to the technical field of data storage and visity.The method comprises the steps that mounting directories of first-level storage and second-level storage are created at a client side, a dynamic symbolic link pointing to a mounting point of the second-level storage is created, and files are migrated to the second-level storage from the first-level storage through a migration tool, and meanwhile, creating a symbolic link of the file in the first-level storage. And when a user accesses the file in the first-level storage, analyzing the actual path of the target file in the second-level storage based on the symbolic link, and accessing the file in the second-level storage through the dynamic symbolic link. Through the method, on the premise of not modifying the symbolic link in the first-level storage, continuous access to the archived file is realized, transparent archiving and dynamic link access of the file are realized, the limitation of a traditional stub scheme is avoided, and the flexibility and efficiency of data storage and access are 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 belongs to the technical field of fire protection, and discloses a traceable fire extinguishing protective clothing lightweight design method. Performing muscle group partition analysis on the human body physiological data of the firefighter to obtain a human body muscle group load distribution map; a human body load holographic model is constructed based on the model; constructing a combat activity load network based on the combat environment data and the human body load holographic model; performing high-temperature fire scene environment simulation on the human body load holographic model, and generating protection performance demand data based on a simulation result; performing protection material adaptation analysis and combinatorial optimization on the combat activity load network by using the protection performance demand data to obtain a material hierarchical configuration scheme; comprehensive evaluation and lightweight index verification are carried out on the material layered configuration scheme, a final fire extinguishing protective clothing design scheme and a traceable data archive are generated, the weight of the protective clothing is remarkably reduced on the premise that the protective performance is guaranteed, and the combat efficiency and safety of firemen are improved.