5 results about "Data mart" patented technology

This invention discloses an intelligent management system and method for hydropower station operation data based on a data mart, relating to the field of hydropower unit operation anomaly identification technology. The method includes: dividing the hydropower unit into operating condition intervals; obtaining a baseline feature set for all operating condition intervals; sampling actual power for a certain operating condition interval, fitting a curve based on the sampled data points, and determining a first fitted curve for that operating condition interval using a correlation calculation method; obtaining the first fitted curves for all operating condition intervals; storing the baseline feature set and the first fitted curve in a data mart; performing real-time monitoring of a certain hydropower unit and constructing a first monitoring sequence through random sampling; and based on the first monitoring sequence, retrieving the data mart to obtain the baseline feature set and the first fitted curve under the same operating condition, and issuing early warnings according to different situations. This invention has good scalability and adaptability, and is suitable for intelligent monitoring and health diagnosis in multi-unit collaborative operation scenarios.

This application discloses an intelligent generation method and apparatus for decision analysis reports in the insurance field. The method includes: constructing a thematic data mart containing insurance business data, and vectorizing and semantically slicing insurance field rules and indicator texts to form a knowledge unit index; responding to a report generation request, constructing a computational agent based on a matched report template; using this agent, generating analytical text by using retrieved data and knowledge units as a context-driven generative model, and synthesizing a decision analysis report; collecting interactive operation data related to the report, and adjusting the configuration parameters of the report template accordingly. This application achieves full-process automation from multi-source data integration and professional knowledge structuring to intelligent analysis, report generation, and continuous optimization, solving the problems of low efficiency, poor accuracy, and difficulty in adapting to large-scale data and complex business logic in traditional manual analysis in the insurance industry, significantly improving decision support efficiency and intelligence.

This application discloses a data mart management method, apparatus, electronic device, and storage medium. The method includes: receiving data to be processed from a source system; storing the data to be processed in a predetermined table structure to obtain a standard-format data table; processing the data to be processed sequentially at multiple levels according to a hierarchical order based on the standard-format data table to obtain a processing result table of the data to be processed; and sending the processing result table of the data to be processed to a downstream system. The method of this application can standardize the creation and storage format of data tables, directly process the standardized data, reduce the application and subsequent maintenance difficulty of data tables in data marts, and improve the management efficiency of data marts.

A device and method are described for a universal analytical data mart and data structure for same. The analytical data mart (ADM) associated data structure is designed to allow data from disparate sources to be integrated, enabling streamlined business intelligence, reporting and ad hoc analysis. Conceptually, the ADM enables analytics and business intelligence from multiple frames of reference including people, such as parties and actors including individuals and organizations, places, such as addresses with geographic information at various levels of view, objects, such as insured properties, automobiles and machinery, and events, milestones which happen at points in time and provide analytical / business value.

This invention discloses a method for constructing a data mart for anti-money laundering applications. The method involves collecting internal and external data; processing the internal and external data into the data detail layer of the data mart; generating globally unique customer / account entity identifiers through cross-system identifier mapping and attribute matching; standardizing and merging heterogeneous data according to subject domains based on these globally unique customer / account entity identifiers; and storing the fused standardized subject domain data in the data detail layer to support subsequent applications. This invention designs a unified data model with customer, account, transaction, and judicial event as subject domains, breaking down internal and external data barriers. This structure not only achieves physical data centralization but also, through entity parsing and relation extraction, merges multi-source data into high-value assets with globally unique identifiers, enabling in-depth correlation analysis and laying a solid foundation for complex analysis.