96 results about "Metadatabase" patented technology

A system for contextual analysis and metadata database generation for user-specific speech patterns is disclosed. The system accesses a speech signal of a user and identifies the user based on the voice print associated with the user. The system splits the speech signal into a first set of audio frames, where each audio frame comprises an utterance of one or more words. The system determines a context associated with each word. In response, the system detects a context change between a first text and a second text. The system generates a contextually split set of frames by splitting the speech signal into a second set of audio frames according to the detected context changes.

The invention belongs to the technical field of artificial intelligence, and relates to a data query method and device, computer equipment and a storage medium. Performing semantic analysis on the query information to obtain a semantic analysis result; performing data source matching and data field extraction on a preset metadatabase based on the semantic analysis result to obtain a data source positioning result and a data field extraction result; constructing statistical logic based on the semantic analysis result and the data field extraction result; obtaining a target retrieval statement template based on the semantic analysis result; performing parameter filling on the target retrieval statement template based on the semantic analysis result, the data source positioning result and statistical logic to obtain a big data retrieval statement; performing query processing on the business data based on the big data retrieval statement to obtain a query result; and sending the query result to the user. The method can be applied to data query scenes in the fields of finance, medical treatment and the like, and the processing efficiency and accuracy of data query are improved.

The invention discloses a power equipment detection method and device based on big data analysis, and belongs to the field of data processing.The power equipment detection method based on big data analysis comprises the following steps that a dynamic metadatabase is constructed, and equipment models, sensor configuration and physical parameters are recorded; compared with the prior art, the method has the beneficial effects that the problem of protocol heterogeneity and sampling frequency difference is solved and the data utilization rate is improved through dynamic metadatabase, proxy variable generation and sliding interpolation alignment aiming at a mixed scene of electric power heterogeneous equipment and deep compatibility of multi-source data; physical-data dual-drive modeling is carried out, knowledge graph constraint and dual-channel deep learning are fused, cross-device feature distribution alignment is realized under a transfer learning framework, and it is ensured that new and old device anomaly detection is accurate; and dynamic closed-loop optimization is carried out, and based on health index hierarchical evaluation and federated learning encryption gradient aggregation, threshold dynamic drift and model increment updating are realized, and fault early warning is advanced.

The subject technology receives a first request to create a container service, the request indicating a service specification for creating the container service. The subject technology generates a set of endpoints based on the service specification. The subject technology generates a set of roles based on the service specification. The subject technology stores service metadata related to the set of endpoints and the set of roles in a metadata database. The subject technology instantiates the container service at a container services cluster, the container services cluster including a set of worker nodes, the container service being deployed on a worker node from the set of worker nodes, and enforces security policies based on the roles and service metadata. The subject technology coordinates with Role Based Access Control (RBAC) and network policies of the subject database system and transparently enforces the same policies over in the subject container system.

A content controller system to render frames on demand comprises a rendering server system that includes a plurality of graphics processing units (GPUs). The GPUs in the rendering server system render a set of media content item segments using a media content identification and a main user identification. Rendering the set of media content item segments includes retrieving metadata from a metadata database associated with the media content identification, rendering the set of media content item segments using the metadata, generating a main user avatar based on the main user identification, and incorporating the main user avatar into the set of media content item segments. The rendering server system then uploads the set of media content item segments to a segment database; and updates segment states in a segment state database to indicate that the set of media content item segments are available. Other embodiments are disclosed herein.

The invention discloses an AI Agent-assisted enterprise data analysis method and system, and relates to the technical field of data analysis, and the method comprises the steps: connecting an enterprise network switch, deploying an RS-485 management network, and deploying at least two AI Agent computing nodes at the edge side of the enterprise network switch; carrying out storage redundancy analysis to obtain a redundancy label matrix; establishing a distribution relationship; issuing a redundancy processing task according to the distribution relationship, and performing data processing to obtain a plurality of return data sets; and performing overlay storage on a metadatabase of the enterprise storage management center according to the plurality of return data sets. The technical problems that in the prior art, storage redundancy of an enterprise meta-database is difficult to recognize accurately, storage optimization after data processing is insufficient, and consequently enterprise data storage efficiency is low are solved, efficient redundancy processing and optimized storage of the meta-database of the enterprise storage management center are achieved, and the enterprise data storage efficiency is improved. And the technical effect of enterprise data storage efficiency is improved.

The invention relates to the technical field of data processing, and particularly provides a dynamic updating method, system and device for an AI intelligent question and answer knowledge base and a medium, and the method comprises the steps: obtaining to-be-updated content, extracting effective information from the to-be-updated content through a semantic recognition technology, and storing the effective information in a temporary file; matching the temporary file with metadata of a file which is uploaded to a knowledge base in a pre-constructed metadatabase; if the metadata matched with the temporary file exists, not executing the operation of updating the temporary file to the knowledge base; if the metadata matched with the temporary file does not exist, calling an interface of a knowledge base platform to update the temporary file to a knowledge base; and obtaining metadata of the temporary file returned by the knowledge base platform in the knowledge base, and storing the metadata in the metadatabase. Effective information is extracted through semantic recognition, and a metadata matching mechanism is combined, so that intelligent dynamic updating of the knowledge base is realized.

The invention discloses a data table information query method and device. The method comprises the following steps: acquiring a query text, and analyzing by utilizing a pre-trained large language model to generate a first SQL (Structured Query Language) statement; if the condition field in the first SQL statement is a character type, vectorizing the condition value to obtain a first vector; finding a target data set corresponding to the table name and the condition field in the first SQL statement from a preset vector database; table names of data tables, field names of character type fields, metadata and vectors of the metadata are stored in the vector database; finding a target vector most matched with the first vector from the target data set, and obtaining target metadata; correcting the first SQL statement according to the target metadata to generate a second SQL statement; and querying the metadatabase by using the second SQL statement to obtain a query result. According to the method and the device, the technical problem that a query result is inaccurate due to the fact that character type fields in SQL statements cannot be verified in an information query scene is solved.

The invention discloses an enterprise management software data security protection method and system, and relates to the technical field of data security, a metadatabase is formulated corresponding to enterprise management software data, and the metadatabase comprises a first mother database, a second mother database, an update library and a sub-database; formulating an access condition corresponding to the metadatabase, and performing authorized access on the enterprise management software data in the sub-database based on the access condition; and when the unauthorized network accesses the sub-database, closing the connection end of the sub-database and the external network, and recovering the sub-database through the first mother database and the second mother database. According to the method, the data accuracy of the sub-database can be ensured, the sub-database can be recovered in time, the security of the data can also be ensured by using the first mother database and the second mother database, and data leakage can be effectively avoided.

The invention belongs to the technical field of building information model and cultural heritage digital protection, and particularly relates to a historical building BIM refined modeling method based on multi-source data fusion, and the method comprises the steps: collecting multi-source heterogeneous data such as three-dimensional laser point cloud, unmanned aerial vehicle oblique photography and surveying and mapping drawings; spatial calibration is carried out under the unified geographic coordinates and time reference, and a structured metadatabase is constructed; based on building component classification and fineness grading standards, parameterized BIM modeling is executed, and details such as a platform base, a bucket arch and a roof are truly restored; parameterized reconstruction and environment integration of the vegetation system are synchronously carried out; and finally, importing an unreal engine, and constructing a high-fidelity and strong-immersion digital humanity scene in combination with physical rendering, dynamic weather, day and night circulation and AI interaction logic. According to the method, total-factor, high-precision and interactive digital twinning of historical buildings is realized, and the protection, display and activation utilization level of cultural heritage is remarkably improved.

The invention discloses an automatic metadata management method, system and device and a storage medium, and relates to the technical field of data management and metadata management, and the method comprises the steps that the system adapts different data sources, automatically connects a database through data source configuration, and automatically connects the database according to a meta-model and collection task configuration. Automatically collecting metadata matched with the meta-model into a meta-database; defining the meta-model library to automatically collect current metadata information of the meta-model from the database, and checking whether the collected metadata needs to be stored and upgraded or not; data collection is carried out by associating tables and fields in a metadatabase, after a filtering condition is configured, a data development assembly is used, data is automatically collected into a data warehouse and developed, and the blood relationship is automatically constructed. According to the method, manual intervention is reduced, the efficiency of metadata management is improved, the consistency and accuracy of metadata are ensured, the blood relationship of metadata tables is established, the circulation and dependency relationship of data among different tables is clearly displayed, and data management and tracing are facilitated.

The invention discloses a data retrieval method and device, electronic equipment and a storage medium, relates to the field of artificial intelligence, and can store summary information of each document file by using a metadatabase and convert each page of each document file to obtain a page image. And storing a text vector generated by using each page of each document file by using a vector database, wherein the page image and the text vector are labeled with a file identifier corresponding to the document file and a page identifier corresponding to the page. When document searching is carried out, a text vector matched with document file query information can be retrieved in a vector database, then a corresponding page image is queried in a metadatabase by using a file identifier and a page identifier marked by the text vector, and then the page image is input into a multi-modal processing model for answer processing. The multi-modal processing model is helped to understand the association relationship between the text content and the image content through the page image, so that the answer quality is improved.

The present invention discloses a data storage method and device based on address redirection. The method comprises receiving a write request, extracting a data block identifier, data offset, and data length from the write request, determining whether the write is a large block or a small block based on the data length, querying a metadata database based on the data block identifier and data offset, and determining whether the write is a new write operation or an overwrite write operation; obtaining the bandwidth, IOPS, and latency of the HDD device within the current sliding time window to determine the load of the HDD device; writing data based on the load of the HDD device; and persisting data distribution information and address space usage information to the metadata database to complete data storage. The present invention utilizes the characteristics of the disk and the current load to perform IO scheduling between the SSD device and the HDD device, and combines the address redirection and small block write aggregation characteristics of the storage system to improve the performance of the storage system.

The invention relates to the technical field of electrical digital data processing, and provides a photomask graphic data automatic generation system and a use method thereof.The method comprises the steps that a metadata structured shell is manufactured, and a corresponding metadatabase is established based on the manufactured metadata structured shell; the metadata structured shell is composed of a shell layer, a core layer and an environment adaptation layer, client data and a mask template modeling data deployment system directory are stored in the shell layer, a specific source file and a mask template modeling data deployment system are arranged in the core layer, and an interface interconnected with a corresponding operating system is arranged in the environment adaptation layer. It is ensured that the metadata structured shell can be identified by the corresponding operating system. Due to the adoption of the technical scheme, the metadata structured shell is generated, the design is easy to uniformly read and reduce errors, the method is not limited by different databases and database structures, and barrier-free circulation of data is greatly promoted.

A method for enhancing backup and recovery of a virtual machine, including receiving, in connection with a backup operation, a metadata database and a backup image of the virtual machine. The method also includes making a first determination, based on the metadata database, that a portion of the backup image includes an anomaly, rewriting, in response to the first determination, the portion of the backup image to obtain a modified backup image, storing rewrite details in the metadata database to obtain a modified metadata database, and, after the storing, receiving a request to initiate a recovery operation for a host, providing the modified backup image and the modified metadata database to the host, mounting, at the host, the modified backup image, and performing a recovery operation for the virtual machine on the host using the modified metadata database and the modified backup image.

A system for contextual analysis and metadata database generation for user-specific speech patterns is disclosed. The system accesses a speech signal of a user and identifies the user based on the voice print associated with the user. The system splits the speech signal into a first set of audio frames, where each audio frame comprises an utterance of one or more words. The system determines a context associated with each word. In response, the system detects a context change between a first text and a second text. The system generates a contextually split set of frames by splitting the speech signal into a second set of audio frames according to the detected context changes.

A backup device. The backup device includes: backup device storage configured to persistently maintain data and metadata related to distributed storage cluster backups according to a container-scalable file structure. The container-scalable file structure includes: a first level (L1) including at least one backup directory and a L1 metadata database; a second level (L2) branching from each backup directory of the at least one backup directory, and including at least one container directory and a L2 metadata database; and a third level (L3) branching from each container directory of the at least one container directory, and including a staging directory, a L3 metadata database, and a container data file.

Systems and methods that for a scalable versioned database that can organize data into scenarios and hives. These define how data visibility is controlled by scenarios, and how data can be transferred between scenarios. In some embodiments, queries and algorithms can be executed in independent processes, which may execute in parallel, and on independent machines. Furthermore, data objects can be placed in shared storage, and metadata objects can be placed in a metadata database which supports ACID transactions. Data objects are not modified in place after they are constructed, while metadata objects can be updated transactionally, using the metadata database. Data can be updated by creating new data objects and connecting them to scenarios with new metadata objects. Finally, obsolete data may be cleaned up by identifying unreachable data, which is safe to delete.

The invention discloses a data cleaning system and method for inconsistent remote sensing image attribute information in the technical field of satellite surveying and mapping. The method comprises the following steps: acquiring multi-source remote sensing image data; carrying out attribute information analysis based on the multi-source and multi-source remote sensing image data and the product content thereof; extracting attribute information of the analyzed multi-source remote sensing image data; performing inconsistency detection on the extracted attribute information of the multi-source remote sensing image data, and identifying and positioning inconsistent data; and repairing inconsistent data by mining a frequent item set and an association rule in the data. According to the method, inconsistent remote sensing image metadata, database field tables and the like are effectively detected and repaired through technical means such as an inconsistent data cleaning method based on the maximum dependency set and attribute association, the inconsistent processing efficiency of attribute information such as the metadata, the database field tables and the like is further improved, and remote sensing image storage, application and management are supported.

The application discloses an analysis method, device and equipment of a measurement data format (MDF) file and a medium. The method comprises the following steps: parsing each MDF file imported by a test system, generating a standard data table and metadata corresponding to each MDF file according to the parsing result, and storing the metadata into a metadata database; generating a column storage file corresponding to each standard data table, and storing each column storage file into a query database; determining a target analysis component according to an analysis requirement selected by a user, and determining a plurality of target column storage files in the query database according to the analysis requirement and the metadata database; and analyzing each target column storage file by using the target analysis component to obtain an analysis result. By using the technical scheme, the MDF file can be converted into an open source format for storage, so that the data in the MDF file can be parsed by using a simple data analysis tool, and the query efficiency of the data in the MDF file is effectively improved.

A method for providing a single-point promulgation of protection policies that includes receiving, at a backup storage and in connection with a backup operation, a metadata database associated with multiple hosts. The method also includes identifying, using the metadata database, each of the hosts associated with the metadata database. The method further includes identifying, for each of the identified hosts, a set of applications. In addition, the method includes retrieving a set of protection policies. Moreover, the method includes determining, based on the identified hosts and associated sets of applications and using the set of protection policies, a set of host protection policies, wherein each of the hosts is associated with a protection policy from the set of protection policies. Also, the method includes sending, to each of the hosts, an associated protection policy.

Systems and methods described herein which can involve, for receipt of a composed digital twin, processing the composed digital twin through a policy core process that determines a policy for the digital twin; executing an asset core process that determines an asset hierarchy of physical assets represented by the digital twin based on metadata of the physical assets retrieved from a metadata database and the determined policy; executing a sensor core process that determines a sensor hierarchy to be associated with the asset hierarchy based on metadata of sensors retrieved from the metadata database of the sensors and the asset core process; executing an analytics solution core that determines analytics solutions for the physical assets; constructing pipelines to facilitate the analytics solutions across a policy core layer, asset core layer, sensor core layer, and analytics solution core layer of the digital twin; and executing the pipelines.

The invention provides an index data extraction method and device based on field blood relationship, and the method comprises the steps: S10, extracting a core SQL code, and converting the core SQL code into a standard SQL code; s20, analyzing the standard SQL code into an atomic operation; s30, complementing the atomic operation, and storing the complemented code in a code metadatabase; s40, obtaining indexes and dimension information; s50, performing logic extraction on the code metadatabase according to the indexes and the dimension information to generate corresponding extraction codes; and S60, performing data extraction according to the extraction code. The index data extraction method based on the field consanguinity has the beneficial effects that the working efficiency and accuracy of data extraction are improved, the access of indexes is more flexible and variable, more individual requirements can be supported, and the operation efficiency of codes is higher through optimization and integration.

A computer system includes a telecommunication server of a telecommunication system operator, is configured to store and route a communication detail record (CDR), a CDR database a metadata database, and a CDR router configured to inspect / analyze the metadata in each CDR and based on the analysis route the CDR to one or more country-specific and / or region-specific CDR storage units. The computer system may also include a legal database in communication with the CDR router, wherein the legal database includes the legal requirements for CDR storage of one or more countries and / or one or more regions and a legal server configured to obtain updates to the legal requirements and store them in the legal database. A method implemented on the telecommunications system receives and stores from the telecommunication server metadata from a telecom event and saves it as a CDR. The CDR is routed, utilizing the CDR router to one or more country-specific CDR storage units.

The present disclosure provides an electronic apparatus. The electronic apparatus comprises: a display; a microphone; and at least one processor, wherein the at least one processor is configured to receive a user voice input through the microphone, obtain a first query embedding on the basis of the user voice input, obtain respective similarities between the first query embedding and a plurality of metadata embedding vectors included in a metadata database, obtain one or more pieces of similar metadata having a similarity greater than or equal to a first threshold value from among the plurality of metadata embedding vectors on the basis of the similarities, determine an order of the one or more pieces of similar metadata on the basis of the similarities or weights assigned to one or more pieces of metadata corresponding to the same content, and control the display to output information related to content corresponding to the one or more pieces of similar metadata in the determined order.

A database system writes data to a volatile memory and generates metadata associated with the data written to the volatile memory. The database system stores a message usable to confirm that the data was written in the volatile memory and links the metadata to the message. A data structure receives the data and the metadata and stores at least the data. A service managing the data structure provides a confirmation that the data was stored by the data structure. The confirmation includes at least the metadata associated with the data. The database system, in response to the confirmation that the data was obtained by the data structure, identifies the stored message using the metadata included with the confirmation and then releases the message.

The invention discloses a metadata-based functional prototype modeling and naming method and system, and belongs to the technical field of system modeling, and the method specifically comprises the following steps: establishing a metadatabase, defining a keyword rule, intelligently extracting keywords in a user search request by using a natural language processing and deep learning model, and searching a matching record in the metadatabase; if the matching item is not found, triggering an intelligent naming process, and generating a new name according to an automatic naming rule, a machine learning algorithm and diversity evaluation; the system stores new names and related information by adopting a distributed storage mode, and introduces a data deduplication and consistency check mechanism to ensure real-time updating and data accuracy of a metadatabase; and the modeling and naming efficiency and accuracy of the function prototype are improved.

A method for efficient backup and recovery validation includes receiving, as part of a backup operation for a host and at a backup storage, a backup copy from the host; retrieving a metadata database from the backup copy, where the metadata database includes a host checksum value based on a portion of the backup copy; parsing, using a backup agent, the metadata database by appending the metadata database with a backup checksum value based on the portion of the backup copy; making a first determination, using the backup agent, whether the portion of the backup copy is abnormal based on a comparison between the host checksum value and the backup checksum value; and appending, based on the first determination, the metadata database with a recoverable identifier to generate a recovery metadata database, where the recoverable identifier causes an adjustment to a recovery operation.

The application provides a data governance method, device, equipment and storage medium. The method comprises the following steps: obtaining a target data standard in a data standard component; controlling the data standard component to send the target data standard to a data quality component, so that the data quality component detects metadata in a database table according to the target data standard, the database table being a table created by a data model component; if the detection result indicates that the metadata does not match the target data standard, controlling the data standard component to send the target data standard to the data model component; and the data model component processes the metadata in the database table according to the target data standard to obtain a processed target database table. The method solves the problems of how to guide the collaborative change of each component of data governance when the data standard version is updated and how to guarantee the consistency of the version, and realizes the real-time unification of the data standard in data governance.

A backup device. The backup device includes: backup device storage configured to persistently maintain data and metadata related to distributed storage cluster backups according to a container-scalable file structure. The container-scalable file structure includes: a first level (L1) including at least one backup directory and a L1 metadata database; a second level (L2) branching from each backup directory of the at least one backup directory, and including at least one container directory and a L2 metadata database; and a third level (L3) branching from each container directory of the at least one container directory, and including a staging directory, a L3 metadata database, and a container data file.