59 results about "Shared database" patented technology

The invention discloses a digital management system based on a multi-tenant architecture, and belongs to the technical field of multi-tenant atomic capability platforms, the system comprises an application layer, a business layer, an acquisition layer and a terminal layer, the application layer performs data interaction with the business layer and an external system capability service through a service gateway and a service registration configuration center; the business layer comprises a resource management module, a comprehensive monitoring module, an intelligent operation and maintenance module and a system management module, and adapts and converts atomic service capability interfaces of various transmission protocols through interface adaptation services to obtain atomic capability services provided by application services; and the data storage module is used for realizing multi-tenant database sharing based on the shared database and the independent schema, and realizing logic isolation of the independent schema through code logic. The digital multi-tenant atomic power open system is formed, the hardware cost and the maintenance cost can be greatly reduced, and the resource utilization efficiency is improved.

A shared-nothing database system is provided in which rows of each table are assigned to "slices" and multiple replicas ("replicas") of each slice are stored across persistent storage of multiple nodes. A request to read data from a particular row of a table can be handled by any node that stores a replica of the slice to which the row is assigned. For each slice, a single replica of the slice is designated as the "primary replica." All DML operations are performed by the node that has the primary replica of the slice to which the target row is assigned. Changes are then propagated to the other replicas ("secondary replicas") of the same slice.

The application provides a user data sharing method for a furniture platform and related equipment. The method comprises the following steps: obtaining shared data in a specified furniture platform, determining furniture feature vectors of each furniture and user feature vectors of each user in the shared data, determining a set of approaching values of each user feature vector according to all the furniture feature vectors, determining a degree of cooperation between two users according to each two sets of approaching values, determining a hot start furniture decision domain of a target user according to all the degrees of cooperation, determining shared prediction values of each furniture in the hot start furniture decision domain, and then determining adjustment coefficients of the target user for each furniture, adjusting furniture recommendation information of the target user according to the adjustment coefficients of the target user for each furniture, and sharing the adjusted furniture recommendation information to a shared database of the furniture platform, so that personalized sharing recommendation of potential ordered furniture of the target user can be realized.

The application relates to the technical field of intelligent lamp mirrors, in particular to a lamp mirror based on sharing and a shared database, which comprises a mirror body and a main control module, a sensing module, a database, an interaction module, an analysis module, a networking module and a brightness module arranged on the mirror body. The application is applied to a group mode, that is, when a lamp mirror is rented, whether the renter is a previous user is sought in the group, corresponding lighting parameters are adjusted according to the user, and the like are used, so that the user's preferences and behaviors are adapted, and user experience is improved.

The application discloses a user authentication method and device based on a block chain and a readable storage medium. The user authentication method based on the block chain utilizes the block chain technology to deploy a browser user authentication system originally requiring centralized management in each browser client in the form of a block chain to form a shared database. When a centralized server is unresponsive, a client node participating in the block chain user authentication verifies a login request and completes user login when the verification is passed, thereby guaranteeing normal operation of a business, and thus solving the technical problem that user authentication cannot be completed when the browser server is unresponsive. Especially in a large-scale enterprise, when the enterprise browser server is unresponsive in an unpredictable manner, the block chain user authentication can greatly reduce the situation that the enterprise browser cannot be used due to login failure and improve the disaster recovery architecture of the enterprise browser business user authentication login.

A system includes multiple remote computers in communication with multiple remote users. A service provider computer in communication with a shared database is configured to determine a real-time state of the system, receive a real-time update to the state of the system and, upon receipt of the update, determine a potential prescription. In response to a prescriptive outcome being inferred, the potential prescription is set based on the inferred prescriptive outcome; otherwise, the potential prescription is set based on a simulated prescriptive outcome. The simulated prescriptive outcome determination includes creating a simulation via a network scratchpad, determining potential simulation prescription outcomes within the network scratchpad, determining a potential prescription based on the one or more potential simulation prescription outcomes, and removing the network scratchpad. In response to determining that the potential prescription is within a predefined prescription value threshold, the potential prescription is added to a potential prescription list.

The present application provides a kind of " quantum computer engineering design management integrated information system prototype system design method ".The present application can be used in integrated operation environment system, integrated information platform, integrated shared database, integrated information interaction system and integrated function system system design.The present application gives the quantum computer engineering design management integrated information system prototype system design method based on system.Around the realization of data flow fusion sharing, event flow dynamic feedback, intervention flow real-time monitoring, control flow accurate call and other information capabilities under integrated operation environment, meet the functional requirements of quantum computing test analysis, chip multi-physical field simulation and project management, based on system top design, the design method of " one operation environment system ", " two support platforms ", " three types of special databases ", " four information interaction spaces " and " five decision support function domains " and the design content of each subsystem (see attached figures 1 to 6).

The present application relates to a kind of based on blood glucose biosensor pregnancy auxiliary system, belong to medical management technical field, especially, it is related to the extended application of biosensor.The system includes: a plurality of user terminals, for obtaining the data information related to user pregnancy, including the blood glucose data obtained based on blood glucose biosensor and the basic information entered;With the communication connection of user terminal server, wherein, the shared database of server construction can be divided into several subgroups based on the preset group division rule, so that each user can be based on its basic information and correspond to one subgroup in the server, the processed blood glucose data obtained by user in current gestation period can be compared with the processed blood glucose data obtained by other users in the same gestation period in corresponding subgroup, to analyze the current blood glucose management of the patient by determining the ranking way, wherein, server can determine the preset group division rule based on the category of basic information.

The application provides a data sharing method and computer equipment based on cooperative game, which comprises that a client initiates a data uploading request to a master node and provides credit points representing service fees; based on the credit points provided by the client, the master node constructs a game success income matrix and a game failure income matrix between any two nodes in the current round of cooperative consensus, and broadcasts the data uploading request to other nodes in the blockchain to initiate consensus; if the consensus is successful, all nodes participating in the consensus are allocated with integral income based on the game success income matrix, and the client initiating the data uploading request is matched with a credit value based on a preset credit distribution rule; if the consensus fails, all nodes participating in the consensus are allocated with integral rewards based on the game failure income matrix; wherein each client accesses a shared database formed after data is uploaded to the chain based on the credit value corresponding to the client, and downloads data in the shared database based on the credit points corresponding to the client.

A system is provided, comprising multiple node packages, an aggregator database node, and an archive database node. Each node package includes a subscriber node, an MP node, and a MaaS node. A first MaaS node selects a first set of transaction records from a first MaaS node based on a first data retention threshold and a first storage duration, and transmits the first set of transaction records to the aggregator database node for storage. The first MaaS node also controls the selection of a second set of transaction records from a third set of transaction records stored on the aggregator database node, and controls the transmission of the second set of transaction records to the archive database node for storage. The selection of the second set of transaction records is based on a second data retention threshold and a second storage duration.

The invention discloses a shared database configuration method, a traffic redirection method and related equipment, and belongs to the technical field of communication. The method comprises: according to policy configuration information in a first network device, determining a Border Gateway Protocol (BGP) message, the BGP message comprising a target color mark in the policy configuration information; and a BGP message is sent to the second network device, the BGP message is used for configuring a first shared database of the second network device, the first shared database comprises a target color mark, and the target color mark is used for indicating the second network device to determine a segment routing strategy of the target traffic according to the target color mark when determining that the target traffic is attacked. Through the mode, the configuration consistency between the network devices can be ensured, the possibility of artificial configuration errors is reduced, meanwhile, the forwarding plane of the second network device directly interacts with the first shared database, and the process interaction safety can be improved.

The invention proposes a ship power supply system load test method and system based on machine learning, and relates to the technical field of load testing, and the method comprises the steps: obtaining the historical operation environment processing data of a ship, constructing a first database, obtaining the current operation environment processing data of the ship, and constructing a second database; constructing a shared database according to the first database and the second database; obtaining a load test model and a fault test model, outputting simulated load test data and fault test data, and further obtaining working condition load simulation data and working condition fault test data; the method comprises the following steps: carrying out model exchange test to obtain model exchange test data, carrying out load fault linkage analysis on the model exchange test data to obtain load fault linkage analysis data, further carrying out linkage update annotation analysis, further carrying out pre-adjustment on corresponding loads and faults, and obtaining pre-adjustment data; according to the invention, linkage intelligent test analysis of ship load faults is realized.

The embodiment of the invention provides a risk level matched emergency resource scheduling method and device. The method comprises the following steps: collecting emergency resource information and multi-source external event data, encrypting the collected data, and uploading the encrypted data to a block chain network to form a shared database; performing dynamic risk assessment on real-time event data collected by a multi-source external event sensing unit by using a risk level mapping model to generate a real-time risk level and an event type; when the real-time risk level meets a preset contract triggering condition, triggering an intelligent contract corresponding to the event type; and screening out a plurality of available emergency resources corresponding to the event type from the shared database through the triggered smart contract, calling a path optimization scheduling algorithm, generating an optimal resource scheduling path, generating a corresponding disposal instruction, and pushing the disposal instruction to a related person in charge. According to the method, the dynamic and accurate scheduling of the emergency resources is realized, and the response efficiency and accuracy are remarkably improved.

The application discloses a highway engineering information data sharing method and system based on privacy calculation, and comprises the following steps: establishing a shared database, and importing data collected by a data providing party into the shared database; the shared database performs privacy calculation on the data in the database through privacy calculation to obtain a calculation result; based on the calculation result, the shared database performs first information sharing processing and second information sharing processing on different subjects; the first information sharing processing comprises: the imported data, the calculation process and the calculation result are all displayed to the data providing party and are called by the data providing party; the second information sharing processing comprises: under the authorization of the data providing party, the calculation result is provided to a non-participating data providing party. By using the scheme, the original data of the data providing party can be ensured not to be leaked through privacy calculation, and the engineering data can be ensured to be "available but invisible" in the whole engineering life cycle.

A shared database platform implements dynamic masking on data shared between users where specific data is masked, transformed, or otherwise modified based on preconfigured functions that are associated with user roles. The shared database platform can implement the masking at runtime dynamically in response to users requesting access to a database object that is associated with one or more masking policies.

The invention discloses a data sharing optimization method based on Gao Monte Distributed Data Management, which relates to the technical field of data sharing, and comprises the following steps: obtaining a user equipment data set based on a Gao Monte Distributed Network database; based on the user equipment data set, performing relevancy classification on the user equipment according to interaction data between the user equipment to obtain different user equipment association sets; based on the user equipment association sets, establishing a user equipment association set performance portrait according to the equipment performance parameters of each user equipment association set; based on the shared database, analyzing data sharing task types in the shared database, and evaluating task features; matching and screening are carried out according to the task subdivision type and the user equipment association set capability, an initial matching pool for data sharing is obtained, and an optimal balance scheme with the highest efficiency and the lowest resource consumption is searched based on the initial matching pool.

This application relates to the field of artificial intelligence control, providing an intelligent agent management system and method based on a large language model. The system includes a session-level sub-agent management unit, derived from the sub-agent manager of the intelligent agent framework, used to configure a traceable and unique identity (session ID) for each child intelligent agent connected to the parent intelligent agent. Events of the child intelligent agents are recorded in the namespace corresponding to the identity ID in a shared database. Parent and child intelligent agents sharing the same session are connected to the same shared database. Events generated when a child intelligent agent runs its execution chain are stored in the namespace corresponding to the identity ID in the shared space. Event records corresponding to different identity IDs in the shared database are independent of each other, avoiding conflicts and eliminating the need to create a separate session directory for each child intelligent agent at the file system level.

An apparatus provides an operating system service that receives, from an application in a batch environment, a plurality of database transactionality calls associated with a first program of the application, the first program having a first addressability mode. In response to at least one of the plurality of database transactionality calls, the operating system service provides a shared database connection to a database for the first program of the application and for a second program of the application that has a different and second addressability mode. In some implementations, the operating system service provides the shared database connection using one or more of a plurality of callable database transactionality classes, such as a plurality of callable Java classes in a Java archive (JAR) file.

This invention provides a method, apparatus, and device for improving power data sharing, relating to the field of data processing technology. The method includes: mapping power data from various power systems in the power grid to a standard mapping library to obtain standardized power data corresponding to each power system; determining a core system based on the business attributes and data dimensions of each power system; identifying core indicator data from the standardized power data of the core system, and comparing the core indicator data with source data in the standardized power data of other power systems to obtain source data with discrepancies and their corresponding discrepancy types; correcting the source data with discrepancies according to the discrepancy types, and saving the corrected source data to a shared database. This invention ensures that all systems use unified and accurate data, eliminates business collaboration obstacles caused by data deviations, and thus improves sharing reliability and collaboration efficiency.

The invention discloses an intelligent emergency response method based on multi-agent simulation. The method comprises the steps of simulating a human emergency command system for an emergent emergency event, constructing a three-layer organization structure comprising a command center, a decision-making layer and an execution layer, distributing roles and responsibilities for each layer of intelligent agents, and configuring a shared database for storing and sharing information and knowledge among the intelligent agents; multi-agent cooperation is carried out, and the situation description of the emergency event is updated in an iteration mode so as to optimize the generated emergency response strategy; and after a final updated emergency response strategy is formed, the intelligent agents of all levels reflect the emergency response process, the reflection result and new knowledge are processed in a structured mode and updated to the shared database, and intelligent emergency response based on multi-agent simulation is completed.

The application discloses a request processing method and device and a storage medium. The method comprises the following steps: in the case that a target edge server in an edge server cluster receives a user request and executes an action indicated by continuity action information for completing the user request, the running state of the target edge server is listened to; in the case that the running state is an abnormal state, the characteristic information of the user request is acquired from a preset shared database, and a standby edge server is determined from the edge server cluster based on the characteristic information; the continuity action information stored in the preset shared database is synchronized to the standby edge server, and the action not executed by the target edge server in the action indicated by the continuity action information is continued to be executed by using the standby edge server. Through the technical scheme, the request processing capability is improved.

The invention discloses a creative design shared database construction method, which belongs to the technical field of database construction, and comprises the following steps: carrying out content feature analysis on a received creative design work file, and extracting to obtain an implicit visual feature vector; generating a dominant semantic feature vector based on the received corresponding initial description information and user community behavior data, fusing the dominant semantic feature vector with an implicit visual feature vector, constructing enhanced metadata corresponding to the creative design work file, calculating an association strength value between works, and constructing a graph database taking the works as nodes and the association strength value as a weight; and in response to a query request of a user, carrying out association path mining in the graph database, and carrying out collaborative filtering to generate a personalized work recommendation list. The implicit visual features and the dominant semantic features are fused, and the graph database based on the association strength is constructed, so that accurate representation, efficient management and personalized recommendation of the creative design works can be realized.

This invention provides a digital operation and management platform based on shared service operation and management, including a data acquisition module, a data management module, and a resource allocation module. The data acquisition module collects business data in real time from different business scenarios and standardizes the acquired data. The data management module builds a shared database based on the standardized business data and manages the association and identification of business data within the shared database. The resource allocation module receives data call requests initiated by requesters based on business scenarios, responds to these requests according to dynamic resource allocation rules, obtains the priority level of the data call requests, allocates corresponding processing nodes to retrieve the relevant data based on the priority level, and the processing nodes return the data processing results to the requester. This invention helps improve the intelligence level of data resource allocation in shared service processes, thereby improving the quality and effectiveness of shared services.

The invention discloses a distributed task scheduling method and system. The method comprises the steps that task information is periodically scanned, it is confirmed that a task is about to reach preset execution time, a globally unique task instance record is created for the task in a shared database, and the initial state of the record is set to be distribution waiting; submitting the task instance to a hierarchical time wheel system according to a difference value between the preset execution time of the task instance and the current time; and after the hierarchical time wheel system confirms that a task instance expires, an atomic updating operation for recording the task instance is triggered to be initiated to the shared database, and the atomic updating operation takes the task instance ID and the current state as waiting distribution as an updating condition, and sends an execution instruction of the task to a proper target node in the working node cluster.

The present disclosure provides an IoT system and a method for managing smart gas-integrated data center. The method includes obtaining comprehensive gas enterprise data through a smart gas company management platform; generating a tagging parameter based on the comprehensive gas enterprise data; generating target gas data based on the comprehensive gas enterprise data and the tagging parameter; storing the target gas data into a corresponding gas database, the gas database includes at least one of a basic information base, an operational database, a specialized database, a supervisory database, and a shared database; in response to receiving a data sharing request, retrieving, from at least one of the gas database, the target gas data, through a data switch, based on a data sharing priority and the estimated transmission time; and sending the target gas data satisfying a preset requirement to a gas user platform or a residential user platform to enable the gas user platform and the residential user platform to share data based on the target gas data.

The invention relates to the technical field of intelligent lamp mirrors, in particular to a lamp mirror based on sharing and a shared database, which comprises a mirror body, and a main control module, a sensing module, a database, an interaction module, an analysis module, a networking module and a brightness module which are arranged on the mirror body. The method is applied to a group mode, that is, when one lamp mirror is rented, whether a renting user is a previous user or not can be sought in the group, and corresponding lighting parameters and the like are called out for use according to the user, so that the preference and behavior of the user are adapted, and the user experience is improved.

The invention discloses an intelligent media precise promotion system based on unmanned autonomous control, and the system comprises an application information extraction module, a primary analysis matching module, a redistribution module, a sharing module 1, a sharing module 2, and a sharing database. The core process comprises the steps of firstly extracting key information such as theme vocabularies, proper nouns and terminologies in application information of an educational resource application user, then screening out initially-allocated educational resources through theme vocabulary repetition comparison, then substituting the initially-allocated educational resources into a preset formula to calculate a reallocation coefficient, screening and sorting to form an ordered recommended educational resource queue, and finally, carrying out reallocation on the educational resources. Meanwhile, application user related data is uploaded through the first sharing module, user education resources are classified and uploaded through the second sharing module, and finally the education resources are stored in a sharing database divided into object-oriented, user access, data analysis and core data storage modules, so that the accuracy of education resource allocation is improved, and the data volume of the sharing database is greatly enriched.

The invention relates to a system, in particular to a multi-tenant environment-oriented dynamic database isolation and resource scheduling system and method. According to the method, an independent Schema dynamic isolation mechanism is adopted, so that each tenant has a completely independent data table structure and data space, and the problems of data crosstalk, authority crossing, cross-tenant query interference and the like are fundamentally avoided. According to the method, routing analysis and tenant identification are taken as the core, and the request can be automatically switched to the database Schema of the corresponding tenant after entering the system, so that the security assurance close to the physical isolation level is realized on the premise of sharing the database instance. According to the method, a high-cost mode of independently deploying an instance and independently maintaining an environment for each tenant in a traditional scheme is omitted. According to the mechanism, a platform can support concurrent access of a large number of tenants in a single instance environment, meanwhile, the resource utilization rate is kept high, the operation and maintenance cost is low, and it can be ensured that all the tenants do not affect each other in the system load peak period.

A system for improving training data for training a machine learning model, comprises: a medical imaging unit to acquire a medical image of a current patient; a crossover detection unit to identify a patient crossover of the medical image and a previous dataset that is stored in a shared database and correlated to a previous patient; and a patient allocation unit to, in case the patient crossover is identified, allocate the medical image to one of a number of database cohorts according to the previous dataset for training the machine learning model.

The invention discloses a data security sharing method and system based on a block chain, relates to the technical field of data security sharing, and is used for solving the problem of reduced security of shared data, calling shared data through a shared database, reading block chain information, obtaining a key length and an encryption duration, and generating a shared encryption coefficient. Screening target data, compressing the target data and extracting content mode features; calling storage node information, detecting disaster recovery switching time through an operation and maintenance log, counting access permission change times in unit time, and calculating node toughness characteristics; constructing a feature vector based on a content mode and node toughness, evaluating an encryption risk level by using K-means clustering, generating an encryption priority coefficient according to sorting, calculating an encryption evaluation value in combination with normalized disaster recovery switching time, executing secondary encryption when a preset threshold value is reached, and obtaining a second encryption result; and the security, the restorability and the protection priority dynamic balance of the shared data in the storage process are realized.