469 results about "Rapid access" patented technology

The invention relates to the technical field of big data processing, and provides a mass data storage optimization method which comprises the following steps: analyzing target data according to access frequency and / or access time of the data, and dividing the target data into hot data, warm data and cold data; aiming at the hot data, the temperature data and the cold data, performing compression processing by adopting corresponding compression algorithms; before the target data is stored, performing duplicate removal on the target data according to the fingerprint of the target data; monitoring the use condition of the memory, the access frequency of the target data and the performance of the compression algorithm in real time, and deploying system resources according to a monitoring result; and setting a multi-level cache, and caching different types of target data to the multi-level cache according to the divided types of the target data. According to the technical scheme, mass data can be efficiently stored and rapidly accessed, and the storage space utilization rate and the overall system performance are remarkably improved.

Techniques for intelligent prefetching of database pages for improved query processing are described. Page access patterns for queries are collected over time and used to update a graph data structure to include collections of nodes corresponding to database pages that are often and / or recently accessed together. When processing a query, the graph data structure can be used to identify scenarios when prefetching may be helpful and to identify particular pages that should be prefetched. These pages are prefetched and placed in a local cache storage that can be rapidly accessed by query processors in comparison to the original storage location for this data, which may be across a network.

A video gateway system at a worksite is coupled to multiple cameras on a network, and backs-up video streams generated by the cameras to a backend cloud backup video storage system and a frontend (cache) video storage system. The video gateway system generates an aggregated video asset from a plurality of streams of video from the multiple cameras, and generates metadata and a backup report associated with the video asset. The video asset, metadata, and backup report are stored on the backend cloud backup video storage system in an file system, and are also stored on the frontend (cache) video storage system such that for at least a period of time, the video asset and the associated the metadata and backup report are stored on both the cloud backup video storage system, facilitating quick access and retrieval to the stored video for retrieval for streaming, activity detection, and other uses.

The invention provides an online map tile fast loading and caching optimization method, medium and system, and belongs to the technical field of map processing.The method includes the steps that a tile index database and an exchange priority matrix are established, a viewport moving trend vector is calculated according to user sliding operation, a future viewport range is predicted, and a preloaded tile list is screened; the method comprises the following steps: performing cache validity check on tiles, establishing a small change detection vector to judge whether updating is needed, establishing a tile hit rate statistical matrix, fusing a time decay factor and a spatial correlation factor to calculate a popularity score, and gathering high-popularity tiles in a quick access area by adopting a thermodynamics-imitating entropy reduction algorithm to realize cache ordering. And the next tile demand of the user is predicted, so that the technical problem that the overall loading response speed is reduced due to an overlong high-value tile access path caused by disordered distribution of cache resources in the online map tile loading process is solved.

The invention discloses an intelligent operation and maintenance method for modular data acquisition and analysis sewage treatment equipment, which comprises the following steps: designing a modular data acquisition unit, configuring an acquisition module with a standardized interface, and realizing quick access of multi-source equipment; protocol conversion, data compression and timestamp completion are completed by using an edge computing gateway, and stable data reporting under a complex network is realized by combining an MQTT protocol; a time sequence database is adopted to store and fuse OA / ERP system data, and an information island is broken; remote diagnosis, intelligent early warning and visual decision making are realized by means of a remote fault analysis interface, a user-defined rule engine and a configurable billboard; and operation and maintenance closed-loop management is achieved in cooperation with a workflow engine. The method effectively solves the problems of low data acquisition integration level, unstable communication, weak analysis capability and the like in traditional operation and maintenance, has the characteristics of modularization, intelligence, high efficiency and the like, remarkably improves the operation and maintenance management level of the sewage treatment equipment, reduces the operation and maintenance cost, and has a wide application prospect.

The invention relates to the technical field of space ranging, in particular to a smart agriculture big data cloud service supervision platform fusing aerial remote sensing and space ranging information. The method comprises the steps that a data acquisition unit acquires agricultural data based on a multi-source acquisition module; the data processing unit performs cleaning, correction and matching processing based on the agricultural data acquired by the data acquisition unit; the data analysis unit performs multi-aspect evaluation analysis through a multi-party analysis technology based on the agricultural data processed by the data processing unit; and the storage management unit manages and protects agricultural data through a cloud computing distributed storage technology based on an analysis result of the data analysis unit. According to the design of the invention, multi-dimensional evaluation and prediction are carried out on agricultural data by adopting a multi-party analysis technology, and a scientific basis and intelligent decision support are provided for agricultural production; through a cloud computing distributed storage technology, rapid access, backup and sharing of large-scale agricultural data are realized, and meanwhile, the security and privacy of the data are ensured.

The invention relates to the technical field of project management, in particular to an enterprise project management system and method oriented to multi-project collaboration. A resource scheduling module; a progress control module; a cost quantification management module; and a risk management module. According to the scheme, through a micro-service architecture and a distributed data storage technology, multi-project full-period collaborative management is realized. And each module can operate and expand independently, so that the flexibility and expandability of the system are remarkably improved. The distributed data storage can ensure the real-time synchronization and quick access of the data even under the condition that a plurality of projects run in parallel. By constructing the incidence relation matrix, the system can clearly present the relation between each task and the resource of the project, and solid data support is provided for subsequent resource allocation and task management. The optimal configuration of resources and the smooth promotion of projects are realized, and the management efficiency of enterprises and the project success rate are remarkably improved.

The invention relates to the technical field of audio and video production, and discloses a distributed audio and video production system, which comprises a user operation interface and a media processing center, and is characterized in that the media processing center integrates audio and video data from a plurality of creation nodes, such as video recording equipment, audio acquisition equipment and the like, provides comprehensive data support for users, and improves the user experience. And real-time audio and video editing, manufacturing and publishing are realized. The core of the system is composed of a network communication layer, a service processing layer, a media access layer and a media storage layer, the network communication layer provides flexible connection services, the service processing layer adopts a distributed architecture and supports efficient data acquisition and processing, the media access layer realizes rapid data access, and the media storage layer ensures safe storage and expansion of data. By optimizing key links such as data management and control, communication connection, service processing and data storage, the audio and video production efficiency and quality are remarkably improved, and the large-scale, multi-node and high-real-time production requirements are met.

The invention discloses a digital logistics resource sharing and collaborative scheduling system based on a cloud computing platform, which relates to the technical field of logistics transportation, and comprises the following steps: establishing a trust mechanism with a user accessing the cloud computing platform, establishing a long-term trust relationship under the trust mechanism, and performing credit scoring through a preset algorithm model; the logistics resource sharing database is used for dispersedly storing logistics resource data on a plurality of physical or virtual nodes by adopting a distributed storage technology, collecting user information related to node information before the information in any node is called, and verifying the authenticity of the user information; the method is used for cooperatively scheduling related data passing verification in the logistics resource database. According to the method, long-term cooperation and resource sharing among users are promoted by constructing a trust mechanism and a credit scoring system, and efficient integration and rapid access of resources are realized by combining a logistics resource sharing database constructed by a distributed storage technology.

The present disclosure generally relates to playing and managing audio items. In some examples, an electronic device provides intuitive user interfaces for playing and managing audio items on the device. In some examples, an electronic device provides seamless transitioning from navigating a stack of items corresponding to groups of audio items to navigating a list of menus. In some examples, an electronic device provides for quick and easy access between different applications that are active on the device. In some examples, an electronic device enables automatic transmission of data associated with audio items to be stored locally on a linked external device.

The invention relates to the technical field of data storage, in particular to a distributed data storage and access processing method. The method comprises the following steps: presetting a guide configuration file in a distributed storage cluster to carry out identity authentication and communication link establishment on each storage node and a cluster management center so as to generate a security data interaction channel; the data sending end equipment sends a data storage request to the cluster management center through the secure data interaction channel and issues data fragments to proper storage nodes; the data receiving end equipment sends a data access request to the cluster management center through the security data interaction channel, generates an access path and feeds back the access path to the data receiving end equipment; the corresponding resource use condition in each storage node is monitored in real time, and when a preset threshold value is reached, the resource is reallocated to other storage nodes according to a preset data migration strategy and a load balancing algorithm based on a resource use insufficiency result. According to the invention, efficient storage and rapid access of data in a distributed environment can be realized.

The invention discloses a cross-brand robot rapid access and control method based on RUAPL, and belongs to the technical field of robot control. The method is applied to a multi-robot management platform, and comprises the following steps: receiving an access request sent by at least one target robot; extracting a skill list from the access request to construct a skill semantic map; according to the skill semantic map, performing capability abstraction on the target robot to obtain unified abstract description; performing adaptation conversion based on the RUAPL protocol on the unified abstract description to generate a downlink instruction; and verifying the downlink instruction based on the digital twin sandbox of the target robot, and sending the downlink instruction to the target robot through the control channel under the condition that the verification is passed, so as to configure the target robot. According to the method, rapid access, semantic intercommunication, safety control and unified management of the cross-brand robot in a heterogeneous environment are realized, and the operation and maintenance cost and integration complexity of a multi-brand mixed scene are reduced.

The invention relates to the technical field of data storage and management, and discloses a self-adaptive storage capacity adjusting method and system for an industrial-grade solid state disk. The method and the system can intelligently analyze and predict future storage requirements by collecting key performance indexes and user data access modes of the solid state disk in real time, remarkably improve the efficiency of storage management, and can automatically identify behavior modes of storage use and formulate corresponding storage strategies through a machine learning algorithm, thereby improving the efficiency of storage management. According to the self-adaptive method, hot data is ensured to be quickly accessed, cold data is reasonably migrated, so that the utilization rate of storage space is optimized, in addition, the storage performance is further improved and the risk of data loss or damage is reduced by adopting a garbage collection algorithm and a TRIM command, and the self-adaptive method not only improves the response speed and the reliability of storage equipment, but also reduces the maintenance cost, and is suitable for popularization and application. And a more efficient and flexible storage solution is provided for enterprises.

Systems and methods are disclosed herein for presenting subtitle data during media asset fast-access playback operations. Specifically, the system may detect initiation of a fast-access playback operation during playback of a media asset and identify consecutive frames to be displayed during the fast-access playback operation that have associated subtitle data. The system may combine the subtitle data associated with the consecutive frames into a display arrangement and generate for display, with each consecutive frame, instead of the associated subtitle data, the display arrangement.

The invention discloses an enterprise-level application development and data management system and method based on zero code SaaS, and relates to the technical field, application development demand information input by a user is obtained, and input keywords and output keywords are extracted from the application development demand information of the user; acquiring subscription and development information of components on the SaaS platform; giving keywords to the components on the SaaS platform; selecting an input component and an output component for a user; recommending an execution component to the user; the user uses the input component, the output component and the execution component to develop required applications by referring to a recommendation result of the execution component; the user does not need to purchase and maintain software, resource consumption of the user is reduced, and maintenance burden of the user is reduced; the user can quickly access and deploy the application program without installation and configuration; and analyzing the requirements of the user, and recommending an SaaS application development component which is most practical to the user in combination with subscription information of the user on the SaaS platform.

The present invention discloses an enterprise-level application development and data management system and method based on zero-code SaaS, which relates to the technical field. It obtains the application development requirement information input by the user, extracts input keywords and output keywords from the user's application development requirement information; obtains the subscription and development information of components on the SaaS platform; assigns keywords to the components on the SaaS platform; selects input components and output components for the user; recommends execution components for the user; the user refers to the recommended results of the execution components and uses the input components, output components and execution components to develop the required application; there is no need for the user to purchase and maintain software, reducing the user's resource consumption and the user's maintenance burden; the user can quickly access and deploy the application program without installation and configuration; analyzes the user's requirements, combines the user's subscription information on the SaaS platform, and recommends the most suitable SaaS application development components for the user.

The invention relates to an on-chip inter-core communication system and method, the system comprises a plurality of processor cores, a shared memory and an interrupt control unit, the shared memory is connected with the plurality of processor cores, the plurality of processor cores are respectively connected with the interrupt control unit, the plurality of processor cores are divided into data sending cores and data receiving cores, the server is responsible for executing tasks and inter-core communication; a data frame lookup table and an annular buffer area are divided in the shared memory; and the interrupt control unit is used for processing inter-core interrupt. According to the multi-core processor, the advantage that the processor core in the multi-core processor quickly accesses the on-chip shared memory is utilized, so that the time delay of data writing / reading is reduced.

Techniques are disclosed relating to providing fast access to restored data in a cloud storage environment. A computing system stores multiple sets of incremental backup data that reflect changes in data being backed up between backup intervals and metadata that indicates which set of incremental backup data stores a given object. The computing system generates an endpoint for a requesting computing system, where the endpoint supports requests for restored backup data and data responses. In response to a request from the requesting computing system via the endpoint, the computing system queries the metadata based on the request and stores metadata retrieved from the query in a key / value store using object identification information as key data and the retrieved metadata as value data. The computing system provides requested data according to a lazy loading technique, including providing requested data via the endpoint based on the metadata in the key / value store.

A software toolbox installing and using method comprises the following steps of S1, installing a main program, S2, opening a main program interface to select a module needing to be used, S3, achieving intelligent layer management and control through a layer management module, S4, achieving intelligent processing of geological elements through a geological map management module, and S5, achieving intelligent processing of the geological elements through a geological map management module. The method comprises the following steps: S1, carrying out intelligent construction of a two-dimensional profile map through a profile map generation module, S6, carrying out batch processing of reserve elements through a reserve map, S7, carrying out lithological layering, sampling position and geological structure discrete data of a drill hole through a drill hole dynamic block, and S8, providing a high-frequency tool rapid channel through a common tool box module. Compared with the prior art, the tool box has the advantages that the tool box is seamlessly integrated with the CAD environment, so that a user can quickly access and utilize efficient working tools on the basis of keeping the existing CAD skills; meanwhile, the section map generation module and the drilling dynamic block display module further simplify the visualization process of two-dimensional and three-dimensional data.

A digital object architecture infrastructure includes a handle system that stores handle data and a proxy server that caches handle data for rapid access. A client connects to the proxy server to request access to the handle data. When the handle data does not have access restrictions and is currently cached, the proxy server returns the handle data to the client without accessing the handle system. When the handle data does not have access restrictions and is not cached, the proxy server obtains the handle data from the handle system, caches a copy of the handle data for future access, and provides the handle data to the client. The proxy server may cache encrypted handle data that is subject to access restrictions, cannot be decrypted by proxy server, and can be provided to a client determined to be allowed access. The client can then decrypt the encrypted handle data.

A system including an artificial intelligence (AI) engine and an AI-based method are provided for dynamically predicting and suggesting emojis on a quick access emoji interface. The AI engine detects an input message in an input field on a graphical user interface of a user application. The AI engine processes the input message to identify elements, for example, character elements, image elements, patterns, etc., of the input message. The AI engine analyzes and determines a context and factors, for example, emoji positions, one or more languages, intent, user and global preferences, etc., associated with the input message for each element of the input message. The AI engine dynamically generates predictions of emojis based on the context and one or more factors in real time. The AI engine renders one or more grouped sets of emojis on the emoji interface based on the dynamically generated predictions.

Methods and systems are provided for assigning one or more Virtual Network Function (VNF) instances, or slices, to devices, and for monitoring each change of state associated with the slices. Embodiments include applying an Advanced Security Control (ASC) protocol to verify devices for each request for access to a slice, to establish a zero trust measurement with respect to a network, such as a 5G network. In embodiments, a blockchain is associated with each slice and stored in a distributed ledger, for example to allow rapid access to network slice and device information if a slice will be re-instantiated.

The invention relates to a log file storage and reading method and device. The method comprises the following steps: acquiring daily operation data of a system to generate log data; combining the log data according to a preset format to generate a log file; storing the log file in a cache according to a preset directory structure; generating a log statistical information file, and storing an intraday memory statistical information file in the log statistical information file in a memory in real time; and when a preset condition is met, storing the log file in the cache into a hard disk so as to facilitate reading. According to the log file storage and reading method and device, an efficient log storage and reading mechanism suitable for an embedded system with limited resources is provided, hard disk writing is optimized through memory cache, rapid access of massive logs is achieved, hardware equipment is protected, and the real-time performance and reliability of data are ensured.

The invention discloses a medical application page access method and device and a storage medium, relates to the technical field of medical information, and mainly aims at improving the access efficiency of a doctor service homepage and improving the user experience. The method comprises the following steps: in response to a shortcut creation signal of a target medical application page, constructing a deep link corresponding to the target medical application page; calling a preset browsing device to load the deep link, responding to a loading success signal of the deep link, and displaying a shortcut creation flow chart of the target medical application page in the preset browsing device; creating a flow chart based on the shortcut, and creating the shortcut of the target medical application page; and in response to a click operation of the shortcut, displaying and accessing the target medical application page. The method and the device are suitable for creating the shortcut for the medical application page and realizing quick access to the medical application page based on the shortcut.

A system provides a quick access content search page presented on an interface of a workspace. The quick access content search page includes control items for filtering pages of the workspace based on external sharing and internet sharing. The multiple pages can include parent pages and child pages hierarchically organized within the workspace. The child page can inherit an access permission of the parent page. The access permission can correspond to the external sharing or the internet sharing. In response to a user input on the control item for filtering content based on the external sharing, the system can provide a list of content entries of pages that have been shared outside the workspace. In response to a user input on the control item for filtering content based on the internet sharing, the system can provide a list of content entries of pages that have been shared on the internet.

The invention relates to the technical field of Internet of Things, in particular to a self-decoding Internet of Things system and equipment code-free access method based on object model metadata. According to the technical scheme, an object model is predefined in a system, the object model comprises attributes, events, instructions and services of equipment, and each attribute, event, instruction and service has a unique metadata ID; the equipment carries the metadata ID when reporting the data, and the system automatically matches description in the object model according to the metadata ID, analyzes data type, length and unit information, and completes automatic analysis and processing of the data; it is not needed to develop and customize analysis codes for different equipment types, and rapid access and non-coding of the equipment are achieved. According to the invention, the system automatically analyzes the data reported by the equipment according to the predefined object model metadata, does not need extra development work, simplifies the access process of the equipment, improves the access efficiency, adapts to the rapid change of the equipment, and has the advantages of strong universality, easy expansion and easy maintenance.

The invention provides a data prefetching optimization method and system for a high-frequency multi-core real-time controller. The method comprises the following steps: performing multi-stage query monitoring on a data access behavior of the controller, generating access statistical data, extracting node popularity based on counter information of tree data structure nodes, and constructing node popularity information. And establishing a prefetching table by using the node popularity information and the access statistical data, and generating an initial prefetching strategy through a preset path prefetching algorithm. And dynamically adjusting the initial prefetching strategy according to the current system load of the controller to generate an optimized prefetching strategy. And then, based on the optimized prefetching strategy, creating a jump pointer queue for the target data, constructing a quick access structure, and performing prefetching operation on the target data through the structure to generate a preloaded data set. According to the method, invalid prefetching is effectively reduced, the data loading efficiency and the system operation performance are improved, and the method is suitable for a multi-core controller application scene with a high real-time requirement.

The invention relates to the technical field of power equipment testing, in particular to a high-voltage direct-current switch integrated equipment aging test platform which comprises a multi-dimensional interface adaptation module, a collaborative aging test module, an aging feature extraction module and a cyclic test control module. The multi-dimensional interface adaptation module realizes rapid access and standardization by acquiring device interface features and comparing and adjusting, cooperates with the aging test module to synchronously apply four stresses, obtains a dynamic acceleration factor quantitative acceleration effect through a coupling formula, the aging feature extraction module extracts related parameters, quantifies the degradation degree in combination with a dynamic weight formula, and finally obtains the aging test result. The cycle test control module adjusts the cycle index according to the acceleration factor and the degradation degree and in combination with the fluctuation amplitude, rapid equipment adaptation is achieved, the composite aging process can be accurately reproduced, the test process is dynamically optimized, the test standardization level, the consistency with the actual working condition and the test efficiency are remarkably improved, and the test efficiency is improved. And reliable technical support is provided for equipment aging characteristic evaluation.

The invention discloses a financial service platform and method supporting dynamic product access and data backflow, belongs to the technical field of data transmission, and aims to solve the technical problem of how to quickly and flexibly access different financial institution products and realize efficient data backflow. Comprising a user interaction interface, a product access configuration module, a dynamic access engine, a data analysis module, a data backflow module, a security convergence module and a database, rapid access of financial institution products is achieved in a configuration mode, and the development time and cost are greatly reduced; the dynamic access engine can adapt to product interface changes of different financial institutions, and the flexibility and expandability of the system are improved; the data backflow module realizes efficient backflow of data, provides rich data support for a financial service platform, and facilitates data analysis and decision making.

The invention discloses an information storage device and method based on a Rydberg atom antenna. Through superposition of two beams of coupled light, a vector interference field is generated in an atomic gas chamber of the Rydberg atomic antenna, detection light pulses are stored based on a nonlinear optical process, and an information storage function is realized on the basis of a quantum precision measurement function of the Rydberg atomic antenna. Compared with a traditional Rydberg atom antenna only having a detection function, the Rydberg atom antenna has the advantages that radio information can be stored while radio signals are detected by introducing a vector interference field; in addition, the information storage device based on the Rydberg atom antenna detects and stores radio information by using an all-optical means, and can realize rapid access of information.