9 results about "Schema mapping" patented technology

This invention provides a high-end scientific instrument reliability analysis and design method based on SysML, belonging to the field of instrument reliability analysis technology. The method includes: constructing a system model of the target instrument using SysML, the system model including a requirements diagram, internal block diagram, and attribute library; extracting all failure modes from all failure mode libraries and assigning them global numbers to establish a failure mode mapping matrix; performing failure mode and impact analysis (FMEA) for the target instrument based on the system model to obtain a failure mode and impact analysis table; establishing a parameterized reliability model for each functional path; calculating the reliability constraints of each functional path based on the system model and the impact analysis table; and performing reliability analysis based on the measured attributes and reliability constraints of sub-components to generate an optimization scheme. The advantages of this invention are improved accuracy, consistency, and automation of reliability analysis.

A system and method for evicting a resource from a unified network topology (UNT) of a computing environment, is disclosed. The method includes: generating a representation of a UNT for a network topology of a computing environment, the representation based on a unified data schema, wherein the unified data schema is mapped to a plurality of data schemas, each corresponding to a unique data source; receiving an event record at a first time, the event record including a resource identifier; updating in the UNT a representation corresponding to the resource based on extracted data from the event record at the first time; determining that a time period has lapsed from the first time which is greater than a threshold; detecting that a number of event records which include the resource identifier is less than a threshold value; and removing the representation of the resource from the unified network topology.

An adaptive answer-generating agent implemented on a computer system, communicatively connected to a user device, and configured to: receive a user query from the user device; map the user query to one of a plurality of reconfigurable answer-generation schemas stored in first data storage, each of the answer-generation schema specify a sequence of steps to generate an answer output to the query, said agent comprising an answer generation engine configured to: receive the answer-generation schema mapped to the user query; implement the sequence of steps to generate an answer output, and communicate the answer output to the user device, wherein the agent further comprises a schema modification function configured to: receive schema modification data from a further computing device relating to one or more of the answer-generation schemas, and modify the sequence of steps of the one or more of the answer-generation schemas in accordance with the schema modification data.

The application discloses a kind of civil aircraft manufacturing operation digital main line system framework construction and data through method, it is related to civil aircraft manufacturing digitization and intelligent manufacturing field, the method includes the following steps: constructing business process network, the input and output logical relationship of each business unit is clear;Construct authority truth source, standardization fusion is carried out to multi-source heterogeneous data;For each business unit, construct uniform digital model instance, and form uniform digital model network;Data in authority truth source is hung to the data layer of uniform digital model according to mode mapping and numerical mapping rule;According to data evolution rule, data change information is transmitted in dynamic network, and business adjustment is triggered until network converges.The application can realize the data integration and through of civil aircraft manufacturing, delivery, operation and maintenance whole process by the cooperation of digital main line system framework, uniform digital model and data mapping evolution mechanism, effectively improves cross-stage business cooperation efficiency.

Embodiments of the present application provide a data migration method and device across heterogeneous databases, a storage medium and a program product, relating to the technical field of databases. The method comprises: in response to a migration task, obtaining source data information from at least one source database through a source connector; mapping the source data information into standardized data according to a preset unified data model; inputting the standardized data into a schema mapping engine, and generating target mapping configuration information corresponding to a target database according to a preset mapping rule by the schema mapping engine; converting the standardized data into data in the format of the target database based on the target mapping configuration information to obtain target-ready data; and writing the target-ready data into the target database through a target connector. The method of the present application increases the compatibility of heterogeneous databases and improves the automation degree and processing efficiency of data migration.

A method, system, and computer-readable medium are disclosed for processing and comparing documents in varying formats, incorporating advanced data extraction, normalization, and comparison techniques. The method includes receiving documents containing structured and unstructured data, processing them with optical character recognition and layout analysis to identify structural elements, and extracting key data fields using natural language processing, including named entity recognition and contextual analysis. Extracted data is normalized through schema mapping and synonym resolution, ensuring consistency in terminology and structure. The system employs fuzzy matching algorithms to identify discrepancies between documents and provides an interactive user interface with graphical visualizations, such as heatmaps and comparison charts, for reviewing and resolving differences. Machine learning techniques refine the system over time by integrating user feedback to improve data extraction, synonym resolution, and comparison accuracy.

The application relates to a method for constructing an offline simulation model of a power grid based on an EMS system, which comprises the following steps: acquiring CIM / E files and QS files generated by the EMS system in quasi real time; parsing the data contents of the CIM / E files and the QS files into intermediate data sources to form an intermediate view mode; merging the intermediate data sources by establishing a mode matching system to form a global view; querying and screening out target regional power grid data files by adopting an intermediary mode; performing boundary equivalence on the target regional power grid data files, so that the target regional power grid data files pass topological verification and power balance verification; mapping according to a target software format, importing a power system analysis software interface program, and generating an offline power grid analysis model. The method improves the data integration and screening efficiency of the CIM / E files and the QS files of the EMS system by mapping a hierarchical global view mode, and solves the problem of poor timeliness of offline simulation calculation results of the power grid on the basis of ensuring flexibility.

A hybrid cloud bridge system (100) for synchronizing legacy data between on-premises IBM i systems and AWS cloud instances, the system comprising: an on-premises legacy interface module configured to connect to one or more IBM i (AS / 400) systems via native data access protocols, including Distributed Relational Database Architecture and Distributed Data Management, the module further comprising a journal read component for capturing change data in real time from IBM i journal subsystems; a data transformation engine operatively coupled with the on-premises legacy interface module and configured to convert data between the EBCDIC encoding native to IBM i systems and the UTF-8 encoding required by cloud-native applications, the engine comprising an EBCDIC-to-UTF-8 converter, a schema mapping processor, a data validation unit, and a format serializer;a secure communication gateway that establishes encrypted communication channels between the on-premises network and the AWS cloud environment using mutual Transport Layer Security authentication with a pure outbound connection model; a cloud integration module deployed within the AWS cloud environment that includes service adapters for connecting to AWS services; a synchronization controller configured to coordinate bidirectional data synchronization operations via data change detection mechanisms; and a conflict resolution module that implements vector-clock-based versioning to detect and resolve conflicts during concurrent changes;characterized by the fact that the system acts as an intermediary bridge, performing bidirectional real-time synchronization between IBM i legacy systems and AWS cloud instances through integrated data format transformation, secure tunneled communication, and vector clock-based conflict resolution, without requiring any changes to the legacy application code or database schemas.

This invention relates to the field of government data sharing technology, specifically to a cross-departmental government data secure sharing system and method based on federated learning. The system includes: a sovereignty identifier resolution module, a sovereignty conflict verification module, a parameter snapshot rollback module, a gradient boundary circuit breaker module, and a federated parameter aggregation module. In this invention, a field slot mapping table is constructed by reading the sovereignty identifier of government data fields and mapping it to the task mode. Based on a conflict detection mechanism, the model parameter index positions for overreaching sovereignty access are accurately selected. The initial parameters of the model are extracted using the conflict parameter set and compared with the original snapshot features. Based on the overreach offset features, storage overwriting and reverse writing are performed to generate a rollback parameter set. A hash algorithm is used to extract inter-layer sovereignty boundary fingerprints and perform gradient modulation, achieving real-time circuit breaking of abnormal gradients and baseline recovery of damaged nodes. This cuts off overreach call paths from the bottom layer, ensuring fine-grained access control for cross-domain transfers and the purity of the globally shared model.