28 results about "DATA STORAGE RETRIEVAL" patented technology

The invention discloses a distributed storage and retrieval method for black soil cultivated land quality space vector big data, and relates to the technical field of data storage and retrieval. The method comprises the steps that firstly, according to space information and attribute information of black soil cultivated land quality space vector data, partition coding design is conducted on row keys, column families and Region partitions of a bottom storage system of a distributed non-relational database HBase, and a storage model used for storing the space vector data is obtained; then obtaining a Geohash coding grid of the space vector data in the storage model through a self-adaptive hierarchical division coding method; performing dimension raising conversion on the Geohash coding grid into a Geohash space grid, and constructing a distributed hierarchical spatial index model according to the Geohash space grid and an index unit of the R * tree; and finally, executing the spatial query request in the distributed hierarchical spatial index model through a spatial parallel retrieval method to obtain a spatial retrieval result. According to the method, the mass space vector data of the large-scale black soil cultivated land can be efficiently stored and retrieved.

The invention discloses a data management system based on a monitoring video stream, belongs to the field of data analysis, and aims to solve the problems of camera connection acquisition, image quality optimization, pedestrian related information analysis and data storage retrieval and backup in video monitoring. The system comprises a data acquisition module, a target detection module and a data storage module. The data acquisition module is used for identifying and connecting a video monitoring camera, performing video stream data acquisition, adjusting an acquisition frame rate by estimating a data size, and evaluating and optimizing image quality to obtain a detection image data set; the target detection module is used for carrying out feature extraction, classification and marking on pedestrians in the detection image data set, recording pedestrian trajectory information, carrying out real-time tracking and updating, identifying a behavior mode according to the trajectory information, dividing a gathering area and obtaining the pedestrian flow; and the data storage module is used for classifying and labeling the data, constructing an index structure to guarantee efficient retrieval, dividing data grades according to multi-dimensional features, and dynamically adjusting a backup time interval.

The invention discloses a communication network fault diagnosis method and related equipment based on multi-modal vector fusion, and the method comprises the steps: carrying out the vector structuring processing of historical heterogeneous telecommunication operation and maintenance data through a multi-modal vectorization engine, and obtaining a historical multi-modal vector set; performing vector fusion processing on the historical multi-modal vector set through a vector fusion center to obtain a historical multi-modal fusion vector; an alarm message queue in a telecommunication network is monitored through a diagnosis decision module, and if an unknown composite fault is detected from the alarm message queue, cosine similarity calculation is carried out on a current fault fusion vector corresponding to the unknown composite fault and a historical multi-mode fusion vector in a hierarchical storage module; and outputting a network fault diagnosis decision result. According to the method, the accuracy and comprehensiveness of network fault diagnosis can be improved, efficient data storage, retrieval and diagnosis decision are realized, the operation efficiency and diagnosis capability of the system are improved, and the method can be widely applied to the technical field of communication network operation and maintenance.

The invention discloses a graph database construction method for construction land full-life-cycle management, and belongs to the technical field of GIS data storage and retrieval. According to the invention, by utilizing the flexible data model of the graph database and the analysis capability of a complex relation network, the graph database association relationship is established for the planning, batching, storage, supply and registration stages of the land parcels by modeling the land parcels and the land parcel association relationship, so that the full-life-cycle management of the land based on the graph database is realized. According to the method, a plot entity and an association relation (vertexes and edges of a corresponding graph) of the plot entity are expressed by utilizing the strong modeling capability of a graph database, and a flexible data model can adapt to continuously changing business requirements and analysis of a complex relation network, so that the purposes of full-life-cycle management of the construction land and visual, rapid and flexible display are achieved.

Systems and methods described herein retrieve data from a data store, the data comprising marketing data associated with a plurality of advertising channels disposed in a plurality of geographic units. The systems and methods pre-process the data to derive a pre-processed data set, and hierarchically cluster the pre-processed data set. The systems and methods further derive a reduced multicollinearity data set having one or more clusters based on the hierarchically clustering by reducing a distance metric among geographic units of the plurality of geographic units that are disposed inside the one or more clusters, and analyze the one or more clusters with a model to generate one or more visualizations used to increase an impression impact, increase a carryover, or a combination thereof, in at least one of the plurality of advertising channels.

The invention provides a computer data storage method and system based on the Internet of Things, and relates to the technical field of data storage, and the method comprises the steps: reading to-be-stored data when a computer executes a target service in Internet of Things terminal equipment, and carrying out the attribute classification of a computer storage path through dynamic file name camouflage, obtaining a storage attribute node corresponding to the storage strategy on the storage path of the computer, and determining the storage label popularity when the storage operation is executed on the storage path of the computer according to the storage attribute node and the private isolation identifier; performing hierarchical verification on the storage utility information, and determining a retrieval response period during computer data storage retrieval through the storage track index; and synchronously storing the computer data according to the storage label heat and the retrieval response period, and adapting to the incremental data requirement synchronously stored on the Internet of Things terminal in real time based on an elastic expansion strategy. According to the method and the device, the to-be-stored data can be subjected to multi-element isolated storage in the Internet of Things terminal equipment, so that the retrieval response speed of data storage is improved.

Various systems and methods are described herein for an improved spreadsheet application that allows a user to generate, manipulate, and replicate data visualizations (e.g., sparklines, graphs, charts, etc.) using functions without importing data into cells of the application. For example, data is stored in one or more remote or local data stores accessible to the improved spreadsheet application. A user enters a function into a cell of the improved spreadsheet application. The improved spreadsheet application generates a query using the function, the query identifying a portion of a dataset to retrieve from the data store(s). The improved spreadsheet application then transmits the query to the data store(s) and retrieves the requested data. A renderer of the improved spreadsheet application then renders a sparkline using the retrieved data. The improved spreadsheet application displays the rendered sparkline in the cell in which the function was entered, or at another designated location.

A virtual desktop data storage retrieval system that allows a plurality of user accounts each to create one or more virtual desktops. These are maintained and managed on a system computer running one or more virtual servers and communicated over a network to a user's browser on a user device. The browser-based virtual desktops provide the account user's functionally, and allow data transfer to and from a virtual storage system associated with the system computer. The system allows each account user to have one or more changeable virtual desktops with changeable icons and changeable icon functions reflecting the account user's preferences. Each account user can create and share one or more virtual desktop, its icons, and functions associated with the selected icons with another account user's virtual desktop while setting up file rights for each assigned shared account user, and controlling which functions the shared account users can perform.

The invention discloses an AB experiment automatic hit diagnosis method and device, computer equipment and a storage medium, and the method comprises the steps: recording an experiment data log corresponding to each AB experiment request according to a preset rule through a data recording assembly integrated in a client in advance; the experimental data log is subjected to standardization processing through a data processing tool and then transmitted to a data storage retrieval module, and a retrieval index is established according to a preset index creation rule; based on a diagnosis request for a target AB experiment, a structured experiment data log corresponding to the target AB experiment is called from a data storage retrieval module through a retrieval index, and the structured experiment data log is dynamically compared with pre-stored target AB experiment configuration data; and if the comparison result shows that the target is missed, analyzing a missed reason through a preset rule engine, and feeding back an analysis result to the target user. According to the invention, rapid, accurate and autonomous diagnosis of AB experiment miss reasons can be realized, the diagnosis efficiency and accuracy are greatly improved, and the manpower and communication cost is reduced.

The application discloses a kind of mass geophysical prospecting data storage retrieval and drawing method in mobile terminal map under offline state, it includes: (1) mobile terminal geophysical prospecting data is stored using embedded relational database sqlite, and table is respectively built according to project, view level;(2) when map program runs, according to the level of map display, view range, project authority in lower level, retrieve, render data in the data table of corresponding level;In high level range, only render all line data that meet the conditions according to project authority;(3) when user carries out map zooming, moving operation each time, first retrieve operation of geophysical prospecting data is carried out, according to the result of retrieval, drawing is carried out in batch in different layers;(4) the default map range of first opening of map application is controlled.The application can bring very intuitive efficiency improvement to construction planning management, vehicle mobile navigation, efficient production organization of geophysical prospecting project, the prospect is very broad, and it has very important significance.

Systems and methods are provided for a machine learning (ML) pipeline with a unified framework. A ML pipeline trains a ML model in a development environment, and further executes the ML model in a production environment. A data storage in the development environment stores training performance metrics corresponding to the training of the machine learning model. A development web server in the development environment retrieves the training performance metrics from the data storage in the development environment, and presents the training performance metrics. A data storage in the production environment stores production performance metrics corresponding to the executing the ML model in the production environment. A production web server in the production environment retrieves the production performance metrics from the data storage in the production environment, and presents the production performance metrics.

A virtual desktop data storage retrieval system that allows a plurality of user accounts each to create one or more virtual desktops. These are maintained and managed on a system computer running one or more virtual servers and communicated over a network to a user's browser on a user device. The browser-based virtual desktops provide the account user's functionally, and allow data transfer to and from a virtual storage system associated with the system computer. The system allows each account user to have one or more changeable virtual desktops with changeable icons and changeable icon functions reflecting the account user's preferences. Each account user can create and share one or more virtual desktop, its icons, and functions associated with the selected icons with another account user's virtual desktop while setting up file rights for each assigned shared account user, and controlling which functions the shared account users can perform.

This application discloses a method, apparatus, and electronic device for storing and retrieving process data in a power monitoring system, relating to the field of power monitoring data processing. It parses event information in a preset format sent by data producers to determine at least the following fields: event timestamp, event data source identifier, event type, and a description of the associated business content. Then, based on the data source identifier, the first storage partition of the data source in the data storage space is determined from a sharding routing table. Further, based on the timestamp and a time interval length threshold, the first storage shard of the data source in the first storage partition is determined from the sharding routing table. The storage shards determined by the data source identifier and timestamp are sorted according to storage rules and stored in the first storage shard. This allows users to retrieve multiple types of data from the data source at once when querying based on time or data source identifier, improving the flexibility of system expansion and query efficiency.

The present application provides a computer data storage method and system based on the Internet of Things, which relates to the field of data storage technology. The data to be stored when the computer executes the target business is read in the terminal device of the Internet of Things, and the attributes of the computer storage path are classified by dynamic file name disguise to obtain the storage attribute node corresponding to the storage strategy on the computer storage path. The storage tag heat when the storage operation is performed on the computer storage path is determined according to the storage attribute node and the private isolation identifier; the storage utility information is hierarchically verified, and the retrieval response cycle when the computer data storage is retrieved is determined by the storage track index; the computer data is synchronously stored according to the storage tag heat and the retrieval response cycle, and the incremental data demand for synchronous storage on the terminal of the Internet of Things is adapted in real time based on the elastic expansion strategy. The present application can perform multi-dimensional isolated storage of the data to be stored in the terminal device of the Internet of Things to improve the retrieval response speed of the data storage.

The invention discloses a regional equidistant grid coding method based on a GeoSOT network, relates to the technical field of grid coding, defines the structural composition of a grid in detail according to a grid coding rule, and designs coding methods of a G domain, a P domain, a T domain, a polar region identifier and a height domain respectively, so as to ensure that a grid coding system can be compatible with expression requirements of different spatial regions, and improve the coding efficiency. Efficient data storage, retrieval and cross-scale application are achieved, a foundation is laid for application and optimization of a subsequent equidistant grid system, and meanwhile theoretical support is provided for cross-regional and cross-scale spatial data organization and management.

Methods, systems, and computer-readable media for read-only data store replication to edge locations are disclosed. A read-only data store is replicated to an edge server. A request for content is received at the edge server from a client device. The content is sought from a content cache at the edge server or from an origin server coupled to the edge server. Processing of the request is initiated, comprising encountering an event. The event is associated with a function specified by a customer, and the function specifies the read-only data store as input. The function associated with the event is executed at the edge server, including retrieval of data from the data store. The content is generated based at least in part on execution of the function. The content is sent from the edge server to the client device.

A virtual desktop data storage retrieval system that allows a plurality of user accounts each to create one or more virtual desktops. These are maintained and managed on a system computer running one or more virtual servers and communicated over a network to a user's browser on a user device. The browser-based virtual desktops provide the account user's functionally, and allow data transfer to and from a virtual storage system associated with the system computer. The system allows each account user to have one or more changeable virtual desktops with changeable icons and changeable icon functions reflecting the account user's preferences. Each account user can create and share one or more virtual desktop, its icons, and functions associated with the selected icons with another account user's virtual desktop while setting up file rights for each assigned shared account user, and controlling which functions the shared account users can perform.

A database system includes a parallelized data input sub-system including a first plurality of nodes, a parallelized data store, retrieve, and process sub-system including a second plurality of nodes, and a parallelized query and response sub-system including a third plurality of nodes. The third plurality of nodes is operable to receive a plurality of queries in parallel and assign a first query to a first node of the third plurality of nodes. The first node is operable to convert an instruction set of the first query into a hierarchical tree structure of code constructs, map database operations to the hierarchical tree structure of code constructs to produce a hierarchical tree structure of database operations, generate an initial query plan from the hierarchical tree structure of database operations in accordance with dataset storage information and a set of available nodes, and optimize the initial query plan to produce an optimized query plan.

A virtual desktop data storage retrieval system that allows a plurality of user accounts each to create one or more virtual desktops. These are maintained and managed on a system computer running one or more virtual servers and communicated over a network to a user's browser on a user device. The browser-based virtual desktops provide the account user's functionally, and allow data transfer to and from a virtual storage system associated with the system computer. The system allows each account user to have one or more changeable virtual desktops with changeable icons and changeable icon functions reflecting the account user's preferences. Each account user can create and share one or more virtual desktop, its icons, and functions associated with the selected icons with another account user's virtual desktop while setting up file rights for each assigned shared account user, and controlling which functions the shared account users can perform.

The invention provides a data-driven milling intelligent analysis device, method and equipment and a storage medium, particularly relates to the technical field of intelligent manufacturing, and provides an intelligent analysis software architecture in a component visual arrangement form and a construction method for process data under various processes, workpieces, procedures, instructions and positions in milling. The overall framework provides an integrated milling intelligent analysis scheme covering processing data acquisition, processing, analysis and application in the form of application layer data set and algorithm component dragging, and the sensing layer obtains processing process data of internal and external systems of a machine tool; the data access layer is responsible for data storage, retrieval and access; the business logic layer is responsible for executing functions such as data set management, algorithm management and intelligent analysis of workflow; the application layer provides a user interface corresponding to a series of functions such as analysis process construction based on component dragging, so that the threshold of artificial intelligence enabling milling machining is lowered, and a full link of data acquisition, storage, analysis and application is opened.

Technology for implementing a system for customizing software recipes or applets is described. In some implementations, a method, implemented using a computing device, may include receiving request to execute a software recipe from a first software application operated by a first user and determining whether the software recipe includes a connection placeholder for a recipe connection to a second software application. The method may then determine whether a first connection to the second software application exists for the first user, retrieve first connection details of the first connection to the second software application from a recipe connection data store, and execute the software recipe using the first connection details in place of the connection placeholder for the recipe connection to the second software application. In some implementations, interaction with and execution of the software recipes is performed using bots in a chat environment.

A dynamic memory array of a DRAM device is operated using a bitline voltage that is greater than the operating (i.e., switching) voltage of a majority of the digital logic circuitry of the DRAM device. The digital logic circuitry is operated using a supply voltage that is lower than the voltage used to store / retrieve data on the bitlines of the DRAM array. This allows lower voltage swing (and thus lower power) digital logic to be used for a majority of the non-storage array logic on the DRAM device—thus reducing the power consumption of the non-storage array logic which, in turn, reduces the power consumption of the DRAM device as a whole.

The embodiments of the present invention provide a data storage and retrieval method and device, an electronic device, and a computer-readable storage medium. The data storage method includes: creating a data storage table; writing first type data in at least one first data column in the data storage table; writing second type data in at least one second data column in the data storage table; and writing a row identifier of the first type data associated with the stored second type data at a corresponding position in the second data column. The embodiments of the present invention facilitate expansion of the storage structure by storing structured data and vector data by columns; associating structured data and vector data by row identifiers, so that structured data and vector data can be truly associated in storage, so that when retrieving data, the retrieval range of vector data can be narrowed, and the efficiency of hybrid retrieval can be improved.

The present disclosure relates to a system(120) and a method(600) for configuring one or more attributes of nodes in a network. The system(120) includes a transceiver(220) to receive a request, from a user equipment(110). The system(120) includes an identification unit(225) identify, at least one configuration operation to configure the one or more attributes of the first node(125a). The system(120) includes a transceiver(220) to receive a response from a second node(125b) in the network(105). The system(120) includes a determining unit if at least a portion of the one or more attributes of the first node(125a) matches with the attributes associated with the second node(125b). The system(120) includes a configuring unit(240) dynamically configure, the one or more attributes of the first node(125a) by applying the configuration logic retrieved from the data store(410).

The invention relates to the technical field of big data, in particular to a big data integration method and system based on Elasticsearch and Redis, and the method comprises the following steps: collecting multi-source data; preprocessing the dynamic data; distributed data storage and indexing; synchronizing intelligent hotspot data; performing cache optimization data retrieval; analyzing and visualizing the depth data; elastic stretching and load balancing are realized; security and privacy protection are realized; the big data integration method and system based on the Elasticsearch and the Redis have the beneficial effects that by combining the advantages of the Elasticsearch and the Redis and through the processes of data acquisition, preprocessing, data storage, hot data synchronization and the like, the efficiency problem of data storage, retrieval and analysis in a big data environment is solved. The core of the method is to realize rapid indexing, efficient storage, instant retrieval and deep analysis of data so as to meet high requirements of modern enterprises on data processing speed and quality.

The invention discloses a detection method and system for an unattended screw ship unloader, and the system comprises a data collection module, a signal processing module, a fault recognition module, a decision output module, a data storage and retrieval module, a remote monitoring communication module, and a central processing module. The signal processing module is connected with the fault identification module, the remote monitoring communication module is connected with the central processing module, the central processing module is connected with the data storage retrieval module and the decision output module, and the fault identification module is connected with the decision output module and used for sending a fault diagnosis result to the decision output module. Therefore, the detection of the screw ship unloader is completed. According to the system, real-time monitoring and intelligent diagnosis of the running state of the spiral ship unloader are realized, the fault detection sensitivity and the diagnosis accuracy are greatly improved, and the fault response time is greatly shortened.

The invention is applicable to the technical field of intelligent retrieval, and provides an intelligent document retrieval system based on a medical knowledge graph, which comprises a knowledge graph construction module, a login module, a retrieval module, a storage module and a processing module, the processing module comprises an input unit, an early diagnosis unit, a pushing unit and a registration unit; the input end of the input unit is electrically connected with the retrieval module; the output end of the input unit is electrically connected with the early diagnosis unit; the input end of the pushing unit is electrically connected with the early diagnosis unit; the output end of the pushing unit is electrically connected with the registration unit, and the system constructs an infectious disease knowledge graph, so that a user can efficiently retrieve association between infectious disease knowledge and mining information; and data storage, retrieval, reasoning application, pushing and registration services are provided for constructing an infectious disease knowledge question-answering system, an infectious disease auxiliary diagnosis system, an infectious disease monitoring and early warning system and other applications.

A method comprising receiving incoming data destined to a line associated with a user, determining a security parameter associated with the incoming data based on at least one of a source of the incoming data or a content of the incoming data, in which the security parameter indicates a security level of the incoming data, storing, in a second data store accessible to the data application, the incoming data in association with the security parameter, receiving a sync request for the incoming data comprising an access token indicating an authentication type associated with a second factor of authentication used to authenticate the client with an authorization server, transmitting the incoming data to the client when the client is permitted to retrieve the incoming data from a data store.