92results about "Hierarchical databases" patented technology

The present invention discloses an artificial intelligence-based adaptive big data storage and retrieval optimization system and method designed to intelligently manage and optimize large-scale distributed data environments. The system integrates data acquisition, distributed storage, metadata processing, adaptive learning, and retrieval optimization units configured to work collaboratively for continuous self-optimization. The invention employs deep reinforcement learning and predictive neural network techniques to dynamically analyze system telemetry, workload behavior, and data access patterns in real time, enabling proactive adjustment of data placement, caching, replication, and compression parameters across distributed nodes. The metadata processing framework utilizes graph-based dependency modeling to maintain semantic and contextual relationships among datasets, facilitating intelligent and context-aware data retrieval. The retrieval optimization unit interprets user queries semantically and computes the optimal retrieval route using latency prediction models and dynamic routing techniques.

A distributed indexing and resolution architecture is disclosed for decentralized systems requiring modular, trust-scoped mutation control and dynamic alias governance. The system comprises a plurality of index entries arranged in a parent-child hierarchy, each associated with a structured alias and governed by one or more anchor nodes. Anchors perform localized resolution, mutation validation, and restructuring operations under deterministic policy constraints, enabling semantic scope enforcement and entropy-sensitive adaptation without requiring global consensus or centralized control. The architecture supports scoped alias traversal, asynchronous mutation proposals, and elastic anchor registration based on system state metrics. The indexing substrate may be integrated into heterogeneous infrastructures, including systems comprising distributed software agents, semantic execution platforms, or pseudonymous identity frameworks. Anchors coordinate within defined trust domains to ensure lineage continuity, dynamic rekeying, and semantic integrity across independently governed segments of a decentralized namespace.

The invention provides a photovoltaic knowledge question-answering method, system and device based on a ReAct architecture, and relates to the technical field of photovoltaic information. The method comprises the steps that a photovoltaic industry knowledge base is obtained, original photovoltaic industry knowledge documents are processed through analysis, abstract generation and abstract vectorization, and a three-layer storage structure containing an abstract vector index table, a document metadata table and a complete document storage library is formed; obtaining a user question, initializing a ReAct cycle and creating a memory storage structure according to the user question and a retrieval tool set constructed based on the three-layer storage structure; the ReAct circulation is executed until the end, and each round of circulation comprises the steps that questions, system cue words and memory data are integrated to generate a context, a round tool and parameters are obtained through reasoning of a large language model, and accordingly the tool is called to retrieve a knowledge base, update memory and remove duplication; after the loop is terminated, an answer is generated based on the memory data. According to the method, when the photovoltaic problem is solved, the key diagnosis link and the solution can be deeply given out without omitting the key diagnosis link and the solution.

Systems and methods for machine learning-informed response and augmentation of incomplete queries and query artifacts that include executing parallel search engines in a machine learning pipeline based on an input of a query to retrieve one or more corpora of candidate digital artifacts, constructing a merged corpus of candidate digital artifacts based on the retrieved corpora of digital artifacts, ranking each candidate digital artifact of the merged corpus of candidate digital artifacts based on a computed relevance to the input query, and returning, via a user interface, a response to the input query based on a subset of prioritized candidate digital artifacts most relevant to the input query.

The invention provides a hierarchical storage method for multi-source data, a storage medium, a program product and electronic equipment, and the method comprises the steps: obtaining the multi-source data of a service, and converting the format of the multi-source data into a column storage format; performing embedded space pre-regularization processing on the multi-source data after format conversion to construct an n-dimensional simplex geometric constraint space of the multi-source data, and according to the n-dimensional simplex geometric constraint space, generating a multi-layer composite label, at least comprising a business semantic label and a cold and hot aging label, of the multi-source data; dividing the multi-source data into hot data, temperature data and cold data according to the cold and hot aging labels; the hot data, the temperature data and the cold data are stored in different storage layers respectively; and obtaining a data query request, and routing the data query request to one of the three storage layers according to the service semantic tag. The problems of semantic confusion, low storage efficiency and low access efficiency of bank data lakes in multi-source heterogeneous data fusion in the prior art are solved.

A system may receive a request to generate an object. A system may generate, based on the request, a first portion of a prompt associated with a first layer of a hierarchy and a second portion of the prompt associated with a second layer of the hierarchy, where the second layer has a lower priority than the first layer. A system may generate the object based in part on providing the portions of the prompt as input to a machine learning model, where the object is formatted according to an object format and is internally consistent. To generate the object the machine learning model does not violate instructions associated with a layer of the hierarchy based on instructions associated with a layer of the hierarchy having a relatively lower priority.

This application is directed to constructing a knowledge graph using generative artificial intelligence. A system can include one or more processors coupled with memory to identify a plurality of items of unstructured data. The system can provide, for one or more generative artificial intelligence models, a first prompt to cause the models to output a plurality of first level categories of a hierarchical data structure for the items. The system can receive the first level categories, each corresponding to a subset of the items grouped by semantic similarity, and evaluate each category according to taxonomy criteria. The system can provide a second prompt to generate second level categories for each first level category, receive the second level categories, and construct a knowledge graph data structure linking the categories and their respective subsets to relate each item of unstructured data with corresponding categories according to the hierarchical data structure.

The invention belongs to the technical field of software development, and particularly provides a research and development-oriented long and short-term memory framework construction method and system, which adopts a layered memory architecture to construct four core modules including a short-term memory compressor, a medium-term memory aggregator, a long-term memory graph and a cross-layer memory router. The system takes multi-source input such as research and development dialogues, code snippets and project documents as a starting point, extracts research and development elements through semantic analysis and entity recognition technologies, compresses lengthy dialogues into structured short-term memory by utilizing an attention distillation mechanism, upgrades high-frequency short-term memory into medium-term knowledge fragments based on a time sequence attenuation algorithm, and improves the research and development efficiency. And constructing a long-term knowledge graph containing developer portraits, project dependence and normative standards by adopting a graph convolutional network. Context understanding accuracy, multi-round dialogue continuity and personalized service quality of a large model in a research and development scene are remarkably improved, and the method is suitable for mainstream research and development tool scenes such as IDE plug-ins, code review and architecture design.

Techniques for detecting service regulator failures comprising receiving time series data from a plurality of sensors in a system. Receiving hydraulic model data associated with the system. Identifying a correlation between first time series data associated with a first sensor of the plurality of sensors and second time series data associated with a second sensor of the plurality of sensors. Determining that the first sensor and the second sensor are disposed downstream of a device for controlling a pressure of a product of the system. Determining a likelihood of a failure of the device is greater than or equal to a threshold. Generating an event and displaying descriptive information identifying the event and one or more response tools for responding to the event.

The invention discloses a hot and cold data hierarchical processing method and system for an industrial internet, and relates to the technical field of industrial internet data processing, and the method comprises the steps: constructing a first-stage hot library through a memory library meeting a first preset access speed, and constructing a second-stage hot library through a time sequence library meeting a second preset access speed, the refrigeration house is constructed through the time sequence library meeting the preset capacity; splitting the industrial internet data according to a preset particle dynamic segmentation strategy to obtain particle segmentation data; judging the particle segmentation data as to-be-reheated data or to-be-cooled data according to a preset access frequency threshold value and the particle segmentation data access frequency; and according to the to-be-reheated data and the to-be-cooled data, data migration in the first-stage heat reservoir, the second-stage heat reservoir and the cold storage is carried out. The method has the beneficial effects that the dynamic cold and hot bidirectional switching of the particle segmentation data is realized, the storage position of the cold and hot data is ensured to adapt to the access requirement of a user, and meanwhile, the data processing efficiency of the industrial internet is ensured without complicated calculation.

The invention discloses a data resource classification and level-to-level management method, system and device oriented to the energy field and a medium, and belongs to the technical field of data management in the energy field. The method comprises the following steps: acquiring a data management range comprising unstructured data and structured data; constructing an initial data directory comprising a plurality of levels according to the data management range; after the unstructured data are converted into structured data, all the structured data are stored in a pre-constructed database, and the structured data comprise data entities and keyword vectors; based on the keyword vector, classifying data entities in all the structured data by adopting a large model technology and a similarity algorithm, and storing a classification result into a corresponding classification hierarchy in the initial data directory to obtain a complete data directory; and based on the complete data directory, grading the data entities which do not reach the preset security classification to obtain a grading result. Unification of data classification and grading standards is realized, and the management efficiency is improved.

A system may identify a plurality of databases in a scope, to be included in an aggregated view, each database of the plurality of databases comprising data used to populate one or more blocks of an integrated workspace, each block comprising one or more properties, the one or more properties comprising at least one common property, wherein the scope is a grouping of hierarchically organized blocks of a render tree. A system may retrieve one or more blocks associated with each database. A system may harmonize a first database and a second database of the plurality of databases by determining a mapping of one or more of the first database to one or more properties of the second database. A system may generate the aggregated view of the one or more blocks, wherein the aggregated view includes a display of at least the at least one common property.

A system for identifying healthcare assets includes a set of tags configured to communicate with each other, the set of tags including a root tag configured to transmit an asset identifier identifying the healthcare asset and multiple component tags, each configured to transmit a component identifier identifying a part of the healthcare asset. A receiver system is configured to receive the asset identifier and the multiple component identifiers from the set of tags and to automatically generate a bill of materials (BOM) for the healthcare asset based on the asset identifier and the multiple component identifiers.

The present application belongs to the technical field of industrial detection, and particularly relates to a conveying belt laser vision tear detection system and method, comprising a layered storage architecture to construct a dynamically updated cross-model conveying belt basic database; a working condition adaptive dynamic enhancement model is designed to perform data enhancement processing on the constructed cross-model conveying belt basic database; an improved YOLOv13 vision tear detection neural network model is constructed to realize cross-model conveying belt laser vision tear intelligent detection; and a multi-dimensional three-level evaluation index system is established based on the vision tear intelligent detection result. The present application effectively improves the range, intelligent degree and detection accuracy of the conveying belt laser vision tear detection, and realizes digital quantifiable evaluation of the conveying belt tear degree.

The application provides a kind of based on edge computing's vehicle-mounted map data distributed storage method and system, it is related to intelligent transportation and edge computing technical field, the application is by first obtaining vehicle-mounted map data source and hierarchical processing, separate out the basic layer data containing basic road network and the detail layer data containing lane line, traffic sign;Again, road side edge computing unit and supporting communication unit are deployed, the effective value of communication is evaluated by physical layer processor, and the effective signal coverage area is defined by optimizing parameter;Subsequently, in combination with edge computing unit position, coverage area and basic road network information, the detail layer data is dynamically sliced, and the sliced data is distributedly stored in the optimal node to form a storage network;Finally, when vehicle enters coverage area, relevant map information is obtained and distributed based on optimization parameter, which can realize distributed storage of vehicle-mounted map data and efficiently provide relevant map information for vehicle.

Various techniques are provided for enabling an iterator (called persistent key-value (KV) iterator) that uses a special key structure embedded with secondary index information for efficient search (or query) of a key-value database (KVDB). In some embodiments, the key structure comprises a plurality of fields categorized into two groups, infrastructure hierarchy fields and object characteristic fields. Keys for the KVDB may be partitioned into one or more levels of hierarchy to generate many smaller key lists for easy search / query of the KVDB. These smaller key lists can be used for concurrent searches / queries.

Aspects of the present disclosure provide systems, methods, apparatus, and computer-readable storage media that support dynamic cross-contextual taxonomy search and interpretation. A multi-layer hierarchical taxonomy may be indicated by metadata that is retrieved based on input search term(s). The multi-layer hierarchical taxonomy may includes a first plurality of nodes that are arranged as parent-child node pairs, and that are grouped into node groups based on common parent nodes. The multi-layer hierarchical taxonomy may be dynamically modified to include a second plurality of nodes that includes duplicates of the parent-child node pairs in which the parent-child relationships are reversed. The nodes may then be regrouped based on common parent nodes, and one or more node groups may be deleted if all the parent-child node pairs are duplicated in another node group. A graphical user interface (GUI) may display a ranked listing of informational elements that correspond to the node groups.

The invention discloses an energy data automatic classification and grading method, system and device and a storage medium, and the method comprises the steps: obtaining energy data, and carrying out the first configuration of a data classification and grading rule based on the energy data; based on the data classification and grading rule, executing a data classification and grading task on the energy data, and monitoring the data classification and grading task to obtain a data classification and grading result; auditing the data classification and grading results, and correcting the classification and grading results which do not meet requirements to obtain data classification and grading results which pass the auditing; and displaying the data classification and grading result passing the audit to obtain a classification and grading list and an analysis report, thereby improving the quality and reliability of energy data management.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for blockchain-based data synchronization, are provided. One of the methods includes: obtaining, from one or more blockchain nodes associated with a blockchain, data associated with a plurality of blockchain transactions recorded in one or more blocks of the blockchain; storing the obtained data in one or more data stores, wherein the storing comprises organizing the obtained data according to one or more schemas, at least one of the one or more schemas being different from a data structure of the blockchain; receiving, from a client device, a data query based on one of the one or more schemas; executing the data query on the data in the one or more data stores to obtain a result; and sending, to the client device, a response comprising the obtained result.

The disclosure includes a system and method for obtaining a hierarchical structure including a plurality of components; determining a set of available insertion positions within the hierarchical structure, the set of available positions including a first position, where in an available insertion position is a position within the hierarchical structure that, responsive to a user request, a new component may be inserted into the hierarchical structure; determining a set of inserts available at the first position within the hierarchical structure; presenting a user interface, the user interface representing: the hierarchical structure of the plurality of components; a set of insert elements; receiving a request to insert the new component into the hierarchical structure at the insert position associated with the first insert element; and modifying the hierarchical structure by inserting the new component into the hierarchical structure at the insert position associated with the first insert element.

The invention provides a hierarchical storage management method based on land observation satellite data value, which belongs to the field of application in a land observation satellite data processing system, and comprises the following steps of: calculating an initial comprehensive weight score during data archiving by creating seven types of core data tables such as a satellite parameter table and a data value parameter table; determining the number of storage days of the online or near-line cluster in combination with a dynamic storage strategy table; obtaining user order update data return times in real time, and recalculating the weight score at regular time to dynamically adjust the storage strategy; and finally, realizing data cleaning in combination with the water and fire wire threshold of the storage device. The problems of low resource utilization efficiency and slow user data return caused by making a storage strategy only based on the number of storage days in the prior art are solved, and the storage resource utilization rate and the user data response efficiency are remarkably improved.

A tree database includes nodes organized as one or more tree data structures. The nodes contain both function and data properties in the form of script files in an interpreter environment. The database is event-driven. Responsive to an event, a node can spawn a new child node in the tree, which contains a data item associated with the event, enabling the tree database to grow as events and data arrive. Query events, initialization, and purging are also supported. Example applications of a communication appliance, an educational quiz, and a music database are provided.

Method and apparatus for performing an operation are described. A method includes choosing at least one primary logical hierarchical data space. The at least one primary logical hierarchical data space may have a plurality of subdivisions. The method may further include determining at least one subdivision of the at least one primary logical hierarchical data space. The method may further include choosing at least one secondary logical hierarchical data space. The at least one secondary logical hierarchical data space may have a plurality of subdivisions. The method may further include determining at least one subdivision of the at least one secondary logical hierarchical data space. The method may further include performing at least one operation corresponding to the at least one subdivision of the at least one primary logical hierarchical data space. The method may further include performing at least one operation corresponding to the at least one subdivision of the at least one secondary logical hierarchical data space.

Aspects of the present disclosure provide systems, methods, apparatus, and computer-readable storage media that support dynamic cross-contextual taxonomy search and interpretation. A multi-layer hierarchical taxonomy may be indicated by metadata that is retrieved based on input search term(s). The multi-layer hierarchical taxonomy may includes a first plurality of nodes that are arranged as parent-child node pairs, and that are grouped into node groups based on common parent nodes. The multi-layer hierarchical taxonomy may be dynamically modified to include a second plurality of nodes that includes duplicates of the parent-child node pairs in which the parent-child relationships are reversed. The nodes may then be regrouped based on common parent nodes, and one or more node groups may be deleted if all the parent-child node pairs are duplicated in another node group. A graphical user interface (GUI) may display a ranked listing of informational elements that correspond to the node groups.

The disclosed system and methods relate to guided process mining. A system includes a processor and memory configured to provide a graphical user interface to a user device. The interface includes a user-selectable-parameter element and representations of processes. Upon user selection of a process, a guided investigation is launched based on the current setting of the user-selectable-parameter element. Upon completion of the investigation, a second graphical user interface is provided, configured to present data regarding the process based on user interactions during the investigation. The system also includes methods for process mining using integrated data from multiple systems, and for generating templated objects for process mining.

A database manager is disclosed that retrieves database records having binary encoded data from a database and instantiating objects in an in-memory database. Binary encoding compresses data, allowing many subrecords to be stored a single blob field of a database record. Retrieving chunks from storage reduces transfer time by reducing the size of data and the number of operations needed to retrieve all the subrecords.The database manager receives database access requests from a database application. Changes made to the database objects and committed by the application are written back to the persistent database as versioned delta records. In a subsequent session, loading the database from storage includes first loading the most recent snapshot record, then applying changes to the data stored in delta records. The changes stored in the delta records are applied to the data in the snapshot record in the order in which they were made.

Case management systems and techniques are disclosed. In various embodiments, searching case instances is facilitated. An indication to create a composite index across hierarchical case nodes comprising a case model is received. Case instance data associated with the case model is used to generate the composite index. The composite index is made available to be used to optimize searches of a plurality of case instances with which the case instance data is associated.

Various techniques are provided for enabling an iterator (called persistent key-value (KV) iterator) that uses a special key structure embedded with secondary index information for efficient search (or query) of a key-value database (KVDB). In some embodiments, the key structure comprises a plurality of fields categorized into two groups, infrastructure hierarchy fields and object characteristic fields. Keys for the KVDB may be partitioned into one or more levels of hierarchy to generate many smaller key lists for easy search / query of the KVDB. These smaller key lists can be used for concurrent searches / queries.

The present invention discloses a universal data container, in the form of a generic tabular representation, and methods of navigating and transforming said generic tabular representation by invoking standard SQL-Expressions, implementing the equivalent of XPath expressions, obviating the need for SQL extensions or format-specific query languages, the container accommodating disparate sources regardless of type or format, placing structured and unstructured sources on an equal footing.