46 results about "Relational query" patented technology

The invention relates to the technical field of distributed storage, can be applied to business scenes of financial science and technology, medical health and the like, and discloses a data storage method, device, equipment and medium based on partition identifier mapping, and the method comprises the following steps: receiving a file and dividing the file into data blocks to generate block identifiers; generating a partition identifier based on the file identifier and the block identifier through hash mapping; creating a partition disk pack mapping table and writing an initial relationship; querying the mapping table to obtain a disk group, and writing the data block into a physical disk to generate a copy; monitoring the health of the disk, keeping the partition identifier and the block identifier unchanged when a fault occurs, and updating the mapping relation to a new disk group; and receiving a read-write request of the target partition identifier, querying the mapping table to obtain the target disk pack, and executing access. According to the method, the partition identification and the block identification are kept unchanged, fast fault tolerance is achieved only by updating the mapping relation, metadata updating expenditure is reduced, bottom layer change is shielded through partition identification routing, and access transparency and high availability are achieved.

A causal inference stack implements a targeted maximum likelihood scheme to conduct causal analysis of the observational data. At a data-handling layer, the causal inference stack obtains one or more memory locations for a dataset and establishes analysis nodes to setup localized data handling for the memory locations. At a data classification layer, the causal inference stack characterizes the missingness of the dataset. At a pipeline layer, the causal inference stack obtains a data element dependency query from a user and sets up an end-to-end solution path to determine the presence of a causal relationship between data elements identified in the data element dependency query.

The invention relates to the technical field of precision machining control, and discloses an intelligent control method for a cutting path of a scribing machine, which comprises the following steps: acquiring a load current signal of a main shaft servo motor in real time and storing the load current signal into a sliding window data queue; performing weighted differential calculation to obtain a real-time load change rate representing a load trend, and calculating an average absolute deviation to obtain an oscillation state quantity representing load dispersion; querying based on a preset nonlinear gain scheduling relationship to obtain a first speed regulation coefficient and an oscillation suppression coefficient; according to the method, an orthogonal dual-channel feed-forward control mechanism is constructed in the same data window, and multiplication cooperation of weighted differential and dispersion statistics is utilized, so that a feed speed set value is corrected in real time; the problems of phase lag and response mismatch of conventional feedback control in the case of transient impact and microcosmic oscillation of hard and brittle materials are solved.

The invention provides an audit text classification filing method and system suitable for audit large model training, and relates to the technical field, the method comprises the following steps: carrying out entity identification and relation extraction on an unstructured audit document to generate a knowledge graph, and extracting a sub-graph structure as a feature representation; performing node embedding learning by using a graph neural network, generating a document vector containing structure and semantic information, and determining a document attribution category through an attention mechanism; and a natural language retrieval request can be analyzed, multi-hop path reasoning is executed, and a document corresponding to an implicitly associated extension node is obtained. The audit document classification accuracy is improved, efficient association query is realized, and the audit knowledge mining capability is enhanced.

The application discloses an ontology relationship progressive disclosure method and system for agent interaction, and the method comprises the following steps: obtaining an ontology relationship query request initiated by an agent; determining an ontology relationship disclosure authorization level based on a user identity, an agent role, a query intention and a historical inquiry path; generating a candidate ontology relationship path according to a target entity in a data ontology graph; performing reservation, hiding, desensitization or aggregation processing on entities, relationships and attributes in the candidate path based on the authorization level, a relationship sensitive label, an attribute sensitive label and a path hop limit to obtain a disclosable ontology segment; outputting entity, relationship, attribute and source information of different granularities in a layered manner according to a progressive disclosure state machine; reviewing the risk of unauthorized disclosure, sensitive combination, path accumulation and reasoning leakage of the to-be-output segment; and outputting the segment to the agent and generating an audit record after the review. According to the application, the risk of unauthorized disclosure and reasoning leakage of the agent when calling enterprise data ontology can be reduced.

The invention discloses a flow gateway vertical calling method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the following steps: in response to a received call request sent by a client, analyzing target domain name information from the call request; determining a target machine room where the gateway is located, obtaining a first mapping relationship between a virtual address corresponding to the target machine room and the domain name information, and querying a target virtual address corresponding to the target domain name information according to the first mapping relationship; and querying one or more target service instances corresponding to the target virtual address according to a second mapping relationship between the virtual address corresponding to the target machine room and the one or more service instances, thereby sending the calling request to any one of the one or more target service instances. According to the embodiment, the vertical calling of the gateway is realized by configuring the virtual address of the machine room, the network delay and the cross-machine-room communication cost are reduced, the flow processing efficiency is improved, and the system stability is improved.

The invention provides a data security management and control method, system and device based on a data label and a medium, and relates to the technical field of data security, the method comprises the following steps: capturing an access request for target data, and analyzing access subject information and an access object identifier used for positioning the target data from the access request; according to the access object identifier, querying a mapping relationship stored in a pre-constructed independent label knowledge base, and obtaining a structured data label corresponding to the target data; generating a data security protection strategy based on the structured data label and the access subject information; and according to the data security protection strategy, executing a corresponding security protection operation on the access request to control the access to the target data. According to the method, the independent label knowledge base which is separated from the original data and contains the classification and grading labels is established, the classification and grading labels of the independent label knowledge base are inquired through the mapping relation, the precisely matched security policy is generated, and data security management and control based on data classification and grading are achieved.

The invention relates to the technical field of network security, and discloses a gateway authentication method and device based on homomorphic encryption, equipment and a medium, and the method comprises the steps: carrying out the homomorphic encryption of an authentication credential plaintext, and obtaining an authentication ciphertext; constructing a gateway authentication request of the target user according to the authentication ciphertext and the request header information, performing field analysis on the gateway authentication request, and identifying whether abnormal information exists in the field analysis process; when the abnormal information exists, generating a request refusal response corresponding to the gateway authentication request, and determining an authentication state of the gateway authentication request according to the request refusal response; when the abnormal information does not exist, constructing a mapping relationship between the authentication ciphertext and the identifier of the target user, and querying a storage ciphertext corresponding to the encrypted field according to the mapping relationship; and performing ciphertext domain comparison operation on the storage ciphertext and the authentication ciphertext to obtain an operation result, and determining an authentication state of the gateway authentication request according to the operation result. According to the invention, the security during gateway authentication can be improved.

The application provides a blind scan payment method of an intelligent printer, and belongs to the field of data processing.The cash register calculates a transaction amount, generates a payment request serial number and sends the payment request serial number to a cloud server after receiving a payment instruction, establishes a first mapping relationship, and sends a voice broadcast instruction to the intelligent printer;the intelligent printer contacts the voice broadcast and starts code scanning, uploads a customer payment code to the cloud server, obtains the payment request serial number through the first mapping relationship, and establishes a second mapping relationship;the cash register starts a polling task, and sends a query request to the cloud server;the cash register and the cloud server establish a push channel, and push a payment code ready notification to the cash register through the push channel;the cash register generates a deduction request, calls a payment platform interface, and sends the deduction request to a payment platform;after the deduction is completed, a payment result is returned;the cash register generates printing data according to the payment result;and the intelligent printer outputs a transaction receipt according to the printing instruction.

This invention proposes a method, system, and storage medium for constructing a Rorschach corpus for depression screening. It collects multimodal raw data related to the Rorschach test, and performs editing and preprocessing. A core data model is constructed to store the multimodal data and their relationships. Through a data entry and import module, the multimodal data is stored in the core data model. Through a data association and retrieval module, cross-modal relational queries and a unified view are provided. Through a data export and sharing module, the data is exported in a specified structured format. Through a deep learning model integration module, the multimodal data is used for predictive analysis and stored in the core data model. The method, system, and storage medium for constructing a Rorschach corpus for depression screening provided by this invention avoid the problems existing in current Rorschach test research data management, such as poor multimodal data correlation, difficult version management, low collaboration efficiency, non-standard metadata recording, and difficulty in supporting deep learning model training.

The application discloses a cross-endpoint associated path retrieval method and system driven by RDF class relation, and belongs to the technical field of semantic web data association. The application carries out preprocessing on data in a SPARQL endpoint, extracts RDF class relation from an ontology and entity relation; the extracted RDF class relation is stored in a graph database in the form of graph data; when a user carries out relation query between entities, inputs a retrieval word and selects a data source; the entity URI of the retrieval word is determined, the entity URI is parsed to determine the class to which the entity belongs, and the associated path of the class is queried in the graph database; the associated path information between the classes that are queried is dynamically encapsulated into a SPARQL federated query statement; the SPARQL federated query statement is executed, and the associated path result of the query is dynamically visualized and displayed. The application can retrieve the associated path between entities across SPARQL endpoints, supports multiple data source endpoints and any associated direction, and improves the efficiency and quality of cross-endpoint associated path retrieval.

The application discloses a kind of based on query enhancement relation big model's main steam temperature prediction method and system, belong to thermal power plant thermal control and intelligent prediction field.The method utilizes multi-scale feature refining module to construct multi-resolution feature pyramid by frequency domain cycle identification and hierarchical pooling, realize the noise suppression and feature enhancement of noisy industrial time series data;Phase perception double query modeling module adopts time query and relationship query double parallel structure, respectively extracts global cycle priori and variable dynamic physical coupling dependence, and realizes feature adaptive cooperation by phase guide gate fusion;Adaptive prediction module completes main steam temperature multi-step prediction and uncertainty quantification.Through the modeling paradigm of feature refining and relationship discovery decoupling, the problem that traditional method is sensitive to non-stationary disturbance under AGC flexible peak shaving scene, it is difficult to consider prediction accuracy and robustness, provides reliable technical support for safe and economic operation of coal-fired unit.

The application provides an intelligent cloud box access method and device, equipment and a storage medium. The method is that, in response to an access operation of a user terminal, an Internet server queries an intranet access address and an extranet access address corresponding to a device identifier in the access operation according to a mapping relationship between the device identifier of the intelligent cloud box and an intranet Internet protocol address and a mapping relationship between the device identifier of the intelligent cloud box and a source Internet protocol address. The access operation is initiated by the user terminal by scanning a two-dimensional code on the intelligent cloud box, and the two-dimensional code includes the device identifier of the intelligent cloud box and the website information of the Internet server. The intranet access address and the extranet access address are sent to the user terminal, so that the user terminal accesses the intelligent cloud box according to the intranet access address and the extranet access address, and a connection is established with the intelligent cloud box.

This invention discloses a method for constructing a three-dimensional semantic knowledge graph of spatiotemporal relationships of geographic entities, belonging to the field of knowledge graph construction technology. The method includes: acquiring a unified benchmark geographic entity flow; selecting a set of mutually overlapping geographic entity pairs based on XY-axis projection overlap detection and reading sensor accuracy settings; determining the vertical orientation relationship based on the bounding box vertical extremum; querying a preset layer thickness mapping table to determine the coarse-grained sectioning layer thickness; calculating the coarse-grained vertical coverage and traversal depth interval in the Z-axis direction and defining them as coarse-grained vertical indices; comparing these with a first threshold library to generate preliminary vertical relationship status labels; for ambiguous or enveloped entity pairs, determining the local depth range based on the coarse-grained vertical indices; resampling with a fixed fine-grained sectioning layer thickness; revising the threshold to generate a second threshold library for re-judgment; and forming a revised graph version. This invention can eliminate vertical semantic ambiguity and improve the accuracy of determining the vertical relationship of geographic entities.

This invention relates to the field of data processing. To address the problem of low efficiency in relational queries after database sharding and table partitioning, it provides a fast query method for tree-like relationships in massive code data. The code association table pre-stores all ancestor-descendant relationships, and the reverse linked list pre-stores the complete path, eliminating the need for recursion or multiple joins during queries. The partition key ensures that all queries are executed within a single shard, resulting in single code queries ≤20ms, tree queries ≤2 times, and query times ≤50ms for database access, improving performance by tens of times compared to traditional recursive queries.

The invention provides a data query method and device, equipment and a storage medium. The method comprises the steps that a query request message sent by a first source node is received, the query request message is used for indicating a target keyword, and the target keyword is used for identifying the interest category of a user; under the condition that the target keyword is in a query state, the corresponding relation between the target keyword and the first source node is stored, the query state means that the second source node has already inquired an embedded vector corresponding to the target keyword, and the embedded vector is used for indicating features of the interest corresponding to the interest category; obtaining a query result message corresponding to the second source node, wherein the query result message carries an embedded vector corresponding to the target keyword; according to the corresponding relation between the target keyword and the first source node, a reply message is sent to the first source node, and the reply message carries the embedded vector corresponding to the target keyword. Therefore, the duplication removal of the query flow can be realized, the bandwidth waste can be reduced, the problems of network congestion and the like can be reduced, the query delay of the embedded vector is further reduced, and the performance of a recommendation system is improved.

This invention discloses an interactive logistics route configuration method, apparatus, and server based on topological relationships. The method includes: establishing topological relationships among logistics elements, wherein the logistics elements include logistics point elements and logistics line elements, and the topological relationships among logistics point elements and logistics line elements are also included; configuring logistics route function interfaces for establishing interfaces for querying logistics element graphical information, topological relationships, path information segmentation, and recommended route configuration; and configuring interactive visualization of logistics routes for loading logistics thematic map information and realizing the visualization of route configuration lists linked with the map. This invention solves the problem of interactive visualization configuration of logistics transportation routes within factories or industrial parks, and has the advantages of simple and convenient implementation, good interactive effect, and good visualization effect.

The invention relates to the technical field of data processing, and particularly discloses an online batch processing task processing method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: under the condition that an online batch processing task request sent by a front end is received, sending an online batch processing task template corresponding to task type information to the front end; acquiring a batch processing file returned by the front end; querying at least one target data verification mode corresponding to the task type information according to a corresponding relationship between a preset task type and a target data verification mode, and verifying the batch processing file by adopting each target data verification mode to obtain a data verification result; and under the condition of determining that the data verification is passed based on the data verification result, assembling a response message based on the data verification result through the main thread, sending the response message to the front end, and calling the sub-thread to asynchronously execute a batch processing task for the batch processing file. By adopting the method, the online batch task processing efficiency can be improved.

The application discloses a kind of echarts-based relationship graph drawing method and device, the method includes: defining the node data structure of node in relationship graph, define canvas structure and initialize relationship graph drawing canvas according to the canvas structure, determine graph center coordinates;According to the node data structure, construct node, determine the connection relationship between the node;Based on echarts, according to the graph center coordinates, the connection relationship between the node is drawn and generated visual relationship graph;The visual relationship graph includes upper visual relationship graph and center visual relationship graph.Through the application, can make the data of only last two layers in graph, that is, there are at most two center nodes in graph, the name of each center node in complete association path is displayed in the form of text above graph, both reduce the data amount of graph rendering, and do not affect the depth relationship query of data and the presentation of complete relationship path.

This invention discloses a method for constructing an economic database for the algae industry, relating to the field of algae industry economics. The method includes: preprocessing and standardizing raw industry data; extracting coupling features from the standardized raw data to obtain spatiotemporally coupled standardized features; constructing a complete algae industry chain diagram and generating a comprehensive economic value index and total value indices for each path based on the spatiotemporally coupled standardized features; obtaining the final value index of each node based on the total value index of each path; and generating economic correlation degrees and globally unique indexes for data types based on the spatiotemporally coupled standardized features, the comprehensive economic value index, and the final value indices of each node, and performing industry chain traceability queries. This method solves the problems of slow response and wasted computing resources in existing relational databases when processing multi-source heterogeneous algae industry data with long-range transmission characteristics, particularly in complex cross-node relational queries.

This invention discloses a joint entity relation extraction method based on a dual-query network. Unlike previous works that treat entity relation extraction as a multi-turn question-answering task, this invention uses two sets of queries for extraction, where each entity query extracts one entity and each relation query retrieves one relation. Since these learnable queries are type-independent, this invention avoids manually constructing natural queries for each relation category, which is inefficient and labor-intensive. To obtain the final relation triples, this invention designs relation pointers to associate the results of the two sets of queries. Furthermore, through an attention mechanism, this invention can naturally model the interdependencies between the two tasks, which is difficult to achieve in span-based classification methods.

The invention relates to the technical field of automobile diagnosis, and discloses a method and device for monitoring automobile diagnosis software, a server, a storage medium and a system. The method comprises the steps that after a new version installation package is obtained, a change file list is generated by comparing file differences of a new version and an old version; querying monitoring probe configuration information associated with each change file based on the mapping relationship to generate a monitoring probe configuration file; embedding the configuration file into the difference updating package and issuing the difference updating package to the terminal equipment; receiving business index data collected by the terminal equipment, and judging a software running state through multi-dimensional analysis; and when an abnormity is found, alarm information for accurate positioning is generated. According to the method, deep integration of automobile diagnosis software updating and monitoring is realized, functional defects can be actively found and diagnosed, the problem identification and positioning efficiency is remarkably improved, and the hysteresis problem existing in a traditional mode depending on manual reporting and post-event log analysis is effectively solved.

Provided in the embodiments of the present application are an application content subscription method, apparatus and device, and a storage medium and a program product. The method comprises: acquiring a user identifier and a subscription content identifier which are sent by a client, determining, on the basis of order record information corresponding to the user identifier, a subscription product identifier corresponding to the subscription content identifier, and feeding the subscription product identifier back to the client, wherein the price of the subscription product identifier is the same as that of the subscription content identifier; upon reception of an order creation request sent by the client, creating a subscription order, wherein a binding relationship between the user identifier, the subscription content identifier and the subscription product identifier is recorded in the subscription order, and feeding an order identifier of the subscription order back to the client; and upon detecting that the subscription order corresponding to the order identifier has been paid, querying and determining subscription content on the basis of the binding relationship corresponding to the order identifier, and providing the subscription content to the client. The solution implements decoupling of a subscription product from subscription content, thereby ensuring the normal operation of a subscription function.

The invention relates to the technical field of databases, and particularly discloses an intelligent endogenous database system and a data processing method. According to the system, an artificial intelligence calculation engine is determined to be a native component which is at the same level as a relational query engine and is deeply integrated into a database kernel, and a vectorization scheduler and a unified query optimization engine are created. The basic principle of the method is as follows: in response to an unstructured data write-in transaction, a vectorization scheduler automatically triggers an artificial intelligence calculation engine in a database transaction boundary, an AI model is scheduled to perform in-situ calculation and vectorization on data in a database, and a result and original data are stored in a unified storage management layer in an atomized association manner. According to the method, a safe closed loop of a data processing flow in a single database system process is realized, intrinsically safe data without ex-warehouse, cross-domain zero-copy in-situ high-performance calculation and intelligent optimization of mixed query are achieved, and the systematic defects of a traditional externally-hung architecture in safety, performance and complexity are overcome.

This invention relates to the field of chip technology, and more particularly to a method, electronic device, and medium for querying connection relationships based on a netlist hierarchy. The method includes: S1, obtaining instance objects A1 of a first target port in the Design Under Test (DUT) and instance objects A2 of a second target port in the DUT; S2, determining whether candidate connection paths for A1 and A2 exist in the DUT; if they exist, proceeding to S3; otherwise, proceeding to S6; S3, generating L... x The set of candidate port groups; Step S4, if L x Each corresponding group (P) i x Q i x In M i x If a connected path exists between the first target port and P1, then execute S5; otherwise, execute S6. Step S5: If the first target port and P1... x Connected and the second target port and Q g(x) x If the network is connected, a connected path is generated; otherwise, proceed to step S6. Step S6: Determine if no connected path exists. This invention improves the efficiency of querying connection relationships in a netlist.

This invention relates to the field of databases, and in particular to a method and apparatus based on an extended SQL graph database query language. It mainly includes: establishing corresponding schema objects using SQL based on the associations and adjacency relationships of all vertices and edges in the graph database, wherein the schema object includes any one of the graph, edge table, and vertex table; splitting the MATCH clause in the query statement into independent traversal steps, splitting the filtering conditions in the WHERE clause into sub-conditions corresponding to each traversal step, and assembling the traversal steps and corresponding sub-conditions into a traversal step array; pushing the traversal step array down to the storage engine of the graph database, completing the query for each schema object in the graph database according to the traversal steps, and returning a filtered and merged query result set chain. This invention can utilize existing standard SQL to process complex relationship queries in graph databases.

A computer-implemented method for analysis of data from multiple data sources and a computing system therefor is provided. The method includes receiving a query instance. The query instance may be processed to generate one or more relational query instances based, at least in part, on the query instance. The generated one or more relational query instances may be distributed among one or more nodes. Each of the generated one or more relational query instances may be processed by at least one node of the one or more nodes to extract data from at least one data source of multiple data sources in communication therewith corresponding to the one or more relational query instances. One or more insights may be generated based on the extracted data. The one or more insights generated may be stored in relevant cache to be retrieved therefrom.

The embodiment of the invention relates to the technical field of data processing, and discloses a cross-language data consanguinity analysis method based on an abstract syntax tree and regular collaboration and a related device. Performing blood relationship analysis on SQL code data in the code data, and extracting field-level and table-level blood relationship information; carrying out Python code blood relationship analysis to obtain Python code blood relationship information; performing blood relationship analysis on the Java code to obtain Java code blood relationship information; performing blood relationship analysis on the Web front-end flow collection data to obtain Web front-end blood relationship information; according to the field-level and table-level blood relationship information, the Python code blood relationship information, the Java code blood relationship information and the Web front-end blood relationship information, obtaining a structured blood relationship graph; and generating a visual blood relationship query interface according to the blood relationship graph. Through the above mode, the embodiment of the invention realizes real and reliable verification.