88 results about "Data archival" patented technology

The invention discloses a multi-modal sensing edge intelligent monitoring system, which relates to the field of edge intelligent monitoring and comprises a multi-modal data acquisition module for acquiring multi-modal data; the edge intelligent processing module performs space-time registration, feature extraction and feature level fusion on the multi-modal data to generate a multi-modal feature vector; performing joint reasoning on the multi-modal feature vector by adopting an intelligent analysis model, outputting a structured analysis result, and generating a local early warning instruction when the danger level indicated by the structured analysis result exceeds a threshold value; and the central control module carries out early warning information issuing, data archiving and model iteration training according to the structured analysis result. Localized feature level fusion and intelligent analysis are carried out on multi-modal data through an edge intelligent processing module, and low-delay risk identification and early warning are realized. Meanwhile, continuous optimization and global situation awareness of the model are realized through a cloud edge coordination mechanism, and the defects of the traditional architecture in real-time performance, reliability and intelligent level are effectively overcome.

A dynamic cadastral data updating and management method based on a space-time sequence specifically comprises the following steps: S1, collecting dynamic cadastral data, preprocessing the dynamic cadastral data, and outputting a standardized space-time sequence database; s2, performing dynamic modeling on the standardized space-time sequence database, adjusting granularity, and outputting an optimized space-time model; s3, performing space-time sequence comparison by utilizing the optimized space-time model, automatically identifying data change, and outputting a cadastre change incremental data set; s4, constructing a relation chain according to the change incremental data set, writing change data into a current potential library, and archiving historical data into a difference file library; s5, performing space-time consistency verification and efficiency optimization on the current potential library and the difference file library, and outputting a quality inspection passing library; and S6, performing service packaging on the quality inspection passing library, and deploying the quality inspection passing library to a cloud service platform. The method dynamically adapts to change features of different regions, reduces storage cost and update time consumption, improves verification efficiency, and provides dynamically updated spatial basic data support for smart city construction.

The invention discloses a power grid operation and maintenance service management method based on an informatization means, and belongs to the field of network operation and maintenance, and the method comprises the steps: S1, building power grid operation and maintenance service integrated data information, and generating a multi-source data flow with a timestamp; s2, constructing an operation inspection operation relation model of the hierarchical knowledge graph, and carrying out semantic modeling on equipment, personnel and operation scenes to realize task and risk matching identification; s3, executing task dynamic assignment and resource reconstruction, and performing priority optimization and cross-region scheduling; s4, carrying out digital twin operation inspection site virtual replication, synchronously mapping sensing data and operation images, and realizing track, working condition and risk node visualization; s5, performing abnormal working condition closed-loop management, pushing abnormal data through event triggering, and forming iterative optimization in combination with historical feedback; and S6, forming comprehensive performance evaluation and data archiving, and uniformly incorporating task execution, risk response and equipment maintenance into an intelligent archiving system. The method has the beneficial effects that the power grid operation inspection efficiency, accuracy and traceability are improved.

This invention belongs to the field of Chinese medicinal material acceptance technology, specifically a standardized acceptance method and electronic system for the handover process of Chinese medicinal material storage and transportation. The specific steps of this standardized acceptance method are as follows: unified data standards and cross-process equipment adaptation, real-time data management during transportation, on-site handover acceptance, post-handover data archiving and cross-process linkage. This application achieves data connectivity, technical adaptation and accountability in the handover acceptance, transportation and storage processes by constructing a standardized system covering the entire process of data collection, real-time management, on-site verification, joint maintenance and traceability archiving. This completely solves the problems of data fragmentation, cross-process disconnection and difficulty in accountability in the existing technology.

The present application belongs to the technical field of robot control, and specifically discloses a railway inspection robot laser radar anti-collision and remote video linkage control method, aiming to solve the problems of low inspection efficiency, low sensor fusion degree and missing linkage mechanism in industrial scenarios. The method comprises: performing benchmark calibration and entering inspection line data through system initialization and parameter configuration; acquiring point cloud data by high-frequency dynamic scanning using a laser radar, and real-time matching of multi-level early warning thresholds to trigger linkage response; the power control unit executes brake or speed reduction operation according to the instruction, and resets the mode to resume work after confirming safety; the system also archives the full data of linkage events to support continuous optimization of the inspection plan. Through the deep coupling linkage of the laser radar and the video imaging module, the present application can realize all-weather, high-precision and high-safety autonomous operation of the inspection robot in complex high-dynamic environments, significantly improving the inspection efficiency and risk control level.

The application provides a data asset sharing method and system, and relates to the technical field of data asset management.The data asset sharing method comprises the following steps: obtaining completed item data of a project in progress; performing data asset screening on the completed item data to obtain asset data; obtaining an archiving unit of the asset data according to the asset type of the asset data and the storage conditions of each unit; archiving the asset data according to the archiving unit; creating a search formula according to the definition word, the asset type and the archiving unit of the asset data when the asset data is archived; performing search analysis on the asset data through the search formula according to sharing request information to obtain an analysis result; and calling corresponding asset data according to the analysis result.The sharing method and system can effectively integrate and share important asset data of an enterprise, improve the project management efficiency of the enterprise and reduce the project cost.

The invention relates to the technical field of data processing, in particular to a handwritten font recognition and storage method for cold data archiving management. The method comprises the following steps: dividing a single font image into an intrinsic structure main body area and a style induction offset area based on the number of effective pixel points in each projection direction; determining a style influence degree according to the main body area and the offset area; clustering the single font images according to the style influence degree to form a cluster; according to the number of the single-font images in the clustering cluster and the style influence degree numerical range, the aggregation degree of the clustering cluster is determined; determining font structure ambiguity according to aggregation degree difference characteristics among the clusters; determining the overall font ambiguity by combining the font structure ambiguity; inputting the text image and the overall font ambiguity into a pre-training style correction model, and outputting a corrected text image; according to the method, the OCR algorithm is adopted to recognize and correct the handwritten fonts in the text image and store the handwritten fonts, so that the false recognition rate of handwritten font recognition is effectively reduced.

The application discloses a kind of low-voltage distribution cabinet arc fault whole cycle management and control methods, belong to low-voltage distribution and industrial internet of things technical field, solve the defects of existing technology early warning lag, false alarm rate is high, emergency disposal network failure, no whole cycle closed-loop management and control.This method uses the double redundancy architecture of edge local priority and cloud platform bottom, including six steps of preposition system configuration and grid responsibility binding, multi-source data acquisition and edge preprocessing, super-early three-stage early warning and preposition intervention, fatal arc fault cloud edge collaborative emergency disposal, fault closed-loop operation and management and control, whole cycle data archiving and model iteration optimization, supporting working condition feature distinguishing rule and multi-source composite verification logic.The application can realize arc fault early identification for 1 to 3 weeks, false alarm rate is controlled within 0.1%, completes local emergency disposal within 100ms and network failure is not invalid, forms arc fault whole life cycle closed-loop management and control, and greatly reduces electrical fire and equipment damage risk.

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 provides a glass batching data filing management interaction method based on multi-stack dynamic allocation, and relates to the technical field of glass production data management. A dynamic in-stack / out-stack mechanism corresponding to a special calibration stack and a multi-class process parameter stack is respectively adopted, so that classified isolated storage and ordered archiving of calibration data and batching process parameters are realized; according to the method, the real-time performance and reliability of data writing and archiving are improved, a prompt mechanism can be actively triggered to guide user intervention in an abnormal state, and meanwhile, efficient retrieval and archiving result exporting according to multi-dimensional conditions are supported, so that the data integrity, traceability and man-machine interaction efficiency in the glass batching process are remarkably enhanced.

The invention discloses a multi-field coupling robot self-adaptive inspection method and system based on a creative technology stack, and the method comprises the steps: reading a fixed historical parameter set in a previous inspection period, collecting the environment data of a current operation region, generating a control parameter set, calling thermal control and propulsion parameters in the control parameter set, and outputting real-time flow field data and attitude control quantity. Based on real-time flow field data and attitude control quantity, navigation speed and propulsive power are optimized, energy consumption data and path tracking data are synchronously recorded, a real-time signal-to-noise ratio is calculated by using environment real-time parameters, communication states are adjusted by combining communication bandwidth parameters in a control parameter set, and the environment real-time parameters and communication state data are synchronously received. Summarizing the data to complete data archiving; through heat-flow coupling control and multi-mode sensing fusion and environment adaptive communication and parameter iterative optimization cooperation, stable inspection in a complex flow field, zero-visibility defect identification and reliable return of noisy environment key data are realized.

The invention discloses a railway external environment patrol method and system based on an unmanned aerial vehicle, and the method comprises the steps: automatically planning an optimal patrol route of the unmanned aerial vehicle based on a railway electronic map and a hidden danger hotspot library; collecting along-line multi-dimensional data through a carried multi-sensor module; the data is returned to a ground center or an edge node in real time by using a 5G / 4G network; an AI algorithm based on deep learning is adopted to perform intelligent analysis on the data, various hidden dangers such as illegal construction, dangerous tree invasion and geological disasters are automatically identified, and accurate measurement and change detection are performed; then early warning information containing accurate geographic coordinates is automatically generated and pushed to a related person in charge to form a disposal closed loop; all data are archived and an analysis report can be generated. According to the invention, full-process automation and intelligentization of inspection operation are realized, the system has the remarkable advantages of high efficiency, high precision, low cost and high safety, and the discovery and disposal efficiency of potential safety hazards of the external environment of the railway can be greatly improved.

This invention discloses a distributed photovoltaic distribution network energy storage scheduling method based on cloud-edge collaboration, belonging to the field of cloud-edge collaboration technology. This method includes: S1, performing time alignment, boundary verification, and standardization processing on operational boundary data and field operational data; S2, performing cloud-based plan support analysis to generate cloud-based planned charging and discharging power and direction; S3, performing edge-end voltage flow adaptation analysis to generate adaptation markers; S4, performing edge-end correction acceptance analysis to generate corrected charging and discharging power and cloud recalculation requests; and S5, executing scheduling instructions, sending back edge-end execution receipts, and archiving data. This method solves the problem that existing methods, which focus on global power balance and energy storage access point charge state constraints, lack synchronous adaptation judgment of energy storage actions, local node voltage boundaries, and feeder flow direction before edge-end execution, easily leading to cloud-based plans being feasible but edge-end local voltage states not being compatible.

The invention provides a configurable automatic data archiving method and system based on a storage process, and belongs to the technical field of database data life cycle management.The method comprises the following processes that firstly, an archiving task is initialized, and a configuration table archiving rule is loaded; automatically judging and creating an archiving history table; secondly, dynamically calculating an archiving reference date; archiving conditions are generated, and data archiving and source table cleaning are executed in batches; abnormities are processed through log and transaction control, and data archiving and source table cleaning are completed; and finally, task circulation and exception handling are performed, and configurable and automatic historical data management is realized. The method solves the problems that an existing data archiving scheme is high in hard coding dependency, lacks unified configuration, is high in batch processing risk, is weak in fault tolerance and traceability, and is disordered in historical table management, is suitable for batch backup and archiving of historical data and source table cleaning in a core business system, guarantees the performance of a core table, and meets the requirements of data retention compliance.

The present invention relates to a computing and archiving research environment that uses multi-data integration between different information or data with high requirements for data storage and high performance computing. The invention provides a platform for easy storage, analysis and sharing of different scientific data by providing different service combinations such as high performance computing (HPC), scientific clouds and data archiving.

The invention provides an urban river channel digital management method. The method comprises the following steps: S1, acquiring heterogeneous data through equipment and uploading the heterogeneous data to a data center; s2, the data center carries out standardization processing on the heterogeneous data to obtain standardized heterogeneous data; s3, constructing a virtual asset model of the river channel according to the GIS engine, and binding the standardized heterogeneous data to the virtual asset model by the GIS engine; s4, analyzing the standardized heterogeneous data by using an AI analysis engine, identifying and positioning river channel diseases, and generating a structured disease record; s5, generating a maintenance work order according to the disease record and the corresponding responsibility unit, and pushing the maintenance work order to maintenance personnel; s6, after the maintenance work order is completed, data of the disease records are archived to a database; and S7, synchronizing the data of the disease record to the virtual asset model, and carrying out quantitative decision and supervision, so that the discovery efficiency, the disposal efficiency and the accuracy of the river channel disease are remarkably improved.

The present application relates to the technical field of industrial vision detection and intelligent manufacturing, and in particular provides a papermaking wood grading evaluation method based on 3D vision and high-resolution imaging fusion. The method comprises raw material feeding and pre-screening, and collecting front and back multi-modal information to realize heterogeneous data archiving, establish an initial digital archive of the target physical form; camera alignment and foreground segmentation are performed, and material categories and associated metadata are identified to obtain offline grading evaluation. Through hardware synchronization and algorithm cooperation, the method realizes automatic collection of front and back of wood, calculation of three-dimensional geometric parameters, material classification and grading evaluation, significantly improving detection accuracy, reviewability and automation level.

The invention provides a hierarchical storage management method based on land observation satellite data value, which belongs to the field of application in a land observation satellite data processing system, and comprises the following steps of: calculating an initial comprehensive weight score during data archiving by creating seven types of core data tables such as a satellite parameter table and a data value parameter table; determining the number of storage days of the online or near-line cluster in combination with a dynamic storage strategy table; obtaining user order update data return times in real time, and recalculating the weight score at regular time to dynamically adjust the storage strategy; and finally, realizing data cleaning in combination with the water and fire wire threshold of the storage device. The problems of low resource utilization efficiency and slow user data return caused by making a storage strategy only based on the number of storage days in the prior art are solved, and the storage resource utilization rate and the user data response efficiency are remarkably improved.

This invention discloses a ship battery inspection system and method based on UAV infrared thermal imaging. The system includes: a UAV for autonomously flying inside the ship's battery compartment to collect infrared and visible light images; a battery parameter synchronous acquisition module for synchronously acquiring electrical parameters and spatiotemporally correlating them with infrared data; a data fusion and analysis module for preprocessing, thermal anomaly identification, and calculation of the battery health index (BHI); and a cloud-based health management module for data archiving and trend analysis. This invention enables contactless, high-efficiency, and comprehensive inspection of ship batteries, achieving early warning of thermal anomalies and quantitative assessment of health status, reducing inspection safety risks, ensuring ship navigation safety, and solving the problems of low efficiency, incomplete coverage, high safety risks, and insufficient risk prediction in traditional ship battery inspection methods.

A computer-implemented method of data archiving is provided. The computer-implemented method includes predicting when an outage condition of a computing system is likely to occur, taking over control of data archiving from a database management unit of the computing system and archiving data prior to the outage condition taking effect and returning control of the data archiving to the database management unit following termination of the outage condition.

The invention discloses an automatic processing system and method for electric power information communication scheduling operation data. The system comprises a man-machine interaction module, a data capture module, a report processing module, a file management module and a data verification module. The man-machine interaction module is used for realizing data interaction between the system and an operator; the data capturing module is used for automatically extracting work order data through a cross-communication scheduling core business system; the report processing module is used for realizing monthly report updating, daily report generation and end-of-month data archiving; the file management module is used for managing template files, result files and log files related to the system; and the data verification module is used for verifying the accuracy of the data processing result. The method disclosed by the invention is high in data processing efficiency, good in integrity and relatively high in accuracy.

The invention provides a meteorological big data processing-oriented visual process scheduling method and system. The method comprises the following steps of performing meteorological service project grouping; performing versioning management on the meteorological special algorithm; performing visual process arrangement based on items and algorithms; configuring a meteorological exclusive timing scheduling rule; starting a process instance; and executing fault recovery operation and realizing whole-process closed-loop optimization. The method has the advantages that core meteorological services such as short-time forecast data generation, radar echo data processing and historical meteorological data archiving can be covered, and the requirements of meteorological departments and scientific research institutions for efficient process scheduling are met; and the method can conform to the trend of specialized and scenarized development of meteorological big data tools.

The invention provides a data processing method and device, equipment, a medium and a program product, and can be applied to the technical field of big data. The method comprises the steps that a database configuration mapping relation is obtained, and the configuration mapping relation is used for representing the corresponding relation between N continuous service periods and M physical databases; based on the configuration mapping relation, determining a to-be-recycled physical database; service data in the to-be-recycled physical database is filed and emptied, a complete table structure and an index of the physical database corresponding to a first service period are copied in the emptied to-be-recycled physical database, and the first service period is an online service operation period before switching; in response to the period switching instruction, updating the configuration mapping relation according to a preset cycle rule; according to the updated configuration mapping relation, newly generated service data is routed and stored to a target physical database corresponding to a second service period, and the second service period is the switched online service operation period.

Embodiments of the present application provide a data archiving method and device, the method comprising: determining a set of to-be-processed archive events, wherein the set of to-be-processed archive events comprises a plurality of archive events, the plurality of archive events are arranged in a first archiving according to a time sequence, and a matching degree between each archive event in the plurality of archive events and a first archive cover event and / or a second archive cover event is greater than or equal to a preset matching degree; performing secondary archiving on the plurality of archive events to obtain a first target archive event stream and a second target archive event stream, so as to complete archiving of the plurality of archive events, wherein the first target archive event stream is a set of archive events corresponding to a first person, and the second target archive event stream is a set of archive events corresponding to a second person. In this way, the secondary archiving of the plurality of archive events is performed to complete the archiving of the archive events, which is conducive to improving the archiving accuracy.

The invention discloses a traditional Chinese medicine decoction piece dry distillation system and method. The system comprises a raw material treatment and traceability module, a separate cavity type dry distillation main machine, a material transfer device, a multi-mode online detection module, a vacuum and tail gas treatment and liquid collection module and an AI intelligent control system. The split-cavity type dry distillation main machine is formed by sequentially connecting a preheating cavity, a dry distillation cavity and a transition cavity so as to realize parallel treatment of preheating, dry distillation and cooling processes; the method comprises the steps of raw material preprocessing and information tracing; carrying out parallel dry distillation treatment; carrying out AI intelligent regulation and control based on multi-modal online monitoring data; collecting a product and judging the quality; and data archiving and whole-course traceability are carried out. According to the invention, through the cavity-divided structural design and AI intelligent control, the defects of high energy consumption, low efficiency and uncontrollable quality of the traditional equipment are overcome, and high efficiency, energy conservation, high quality and whole-course traceability of the dry distillation process of the traditional Chinese medicine decoction pieces are realized.

The invention relates to the technical field of power transmission line safety protection, and discloses a power transmission line protection system and method for preventing line hanging of a large unmanned aerial vehicle, and the system comprises a multi-source sensing module, an intelligent recognition and decision module, an early warning interception module, and a data storage and evidence obtaining module. The multi-source sensing module adopts a frequency spectrum, vision and track multi-source sensing fusion technology; the intelligent identification and decision module is used for target identification, electronic identity verification and flight risk level evaluation; the early warning interception module executes grading processing according to the risk grade; and the data storage and evidence obtaining module is used for data archiving. The invention provides a corresponding method. The method comprises the steps of multi-source data acquisition, authorization verification and multi-mode identification, risk assessment and grading disposal, disposal effect verification and the like. According to the method, a closed-loop protection process of identification, early warning, interception and evidence obtaining is constructed, authorized and unauthorized large unmanned aerial vehicles can be accurately distinguished, and line hanging accidents are effectively prevented while legal operation is guaranteed.

The invention relates to the technical field of stacker-reclaimer communication, and discloses a method for communication of a wireless AP on a stacker-reclaimer, comprising the following steps: S1, a communication reference configuration and environment modeling stage; s2, a multi-source data real-time monitoring and communication establishment stage; s3, a dynamic channel adaptation and anti-interference optimization stage; s4, an AP seamless switching and connection maintaining stage; s5, an abnormity monitoring and emergency processing stage; s6, a data archiving and model iteration stage; the invention aims to provide a method for communication of a wireless AP (access point) on a stacker-reclaimer, so as to solve the problems that the existing communication mode of the wireless AP on the stacker-reclaimer generally adopts a fixed channel to carry out data transmission, and the dynamic adaptation capability to complex interference in an industrial scene is lacked; signal attenuation and other situations caused by electromagnetic interference and dust cannot be actively avoided, and the problems of signal quality decline, data packet loss or transmission delay and the like easily occur.

The invention discloses a knowledge graph-guided agent data full-life-cycle management method and device, and relates to the technical field of agents. The method comprises the following steps: connecting a data management platform to an intelligent agent of a client, and constructing a core knowledge graph; in the data acquisition stage, according to a task request, a core knowledge graph is used for intelligent guidance, and data acquisition is carried out; in the data preprocessing stage, a core knowledge graph is used for performing intelligent treatment on a plurality of original data; in a data storage stage, intelligently organizing a plurality of preprocessed data by using a core knowledge graph; in a data application stage, performing intelligent service by using the updated core knowledge graph according to task information; and in a data archiving stage, performing intelligent processing on the secondarily updated core knowledge graph. The problems that in the prior art, data collection blindness is high, data management cost is high, data organization is disordered, data application and data management are disjointed, and a data archiving strategy is rigid are solved.

The invention discloses a thermodynamic process control method for a glass needle tube for a pre-filled syringe, and particularly relates to the technical field of production of glass for medicine for the pre-filled syringe. Comprising the steps of multi-modal sensing configuration and calibration of a pre-filled glass product, multi-modal sensing fusion and thermodynamic state estimation of a glass needle tube for a pre-filled syringe, online correction and working condition identification of a digital twin model of the pre-filled glass product, and self-adaptive control decision of a thermodynamic process of the pre-filled glass product. Based on an execution and feedback step of a double-stage high-temperature regulation and control process of the pre-encapsulated glass product and a historical data archiving and self-learning optimization step of a thermodynamic process of the pre-encapsulated glass product, multi-source sensing data fusion and linkage of a digital twin model and a reinforcement learning control strategy are utilized; the whole-process refined and intelligent control of the double-stage high-temperature regulation and control process of the pre-encapsulated glass product is realized.

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.