Data maintenance method and device, digital main line platform, and computer device

By acquiring and aligning metadata definitions and attribute information of each stage of aero-engine development, a component database and a central semantic model are constructed, solving the problem of data silos in the aero-engine development process and achieving synchronous data updates and improved iteration efficiency.

CN122132612APending Publication Date: 2026-06-02TSINGHUA UNIVERSITY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
TSINGHUA UNIVERSITY
Filing Date
2026-02-10
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Data from different stages of aero-engine development is stored in different systems, resulting in information silos. This makes it impossible to provide the latest and most authoritative simulation models and data in a timely manner, affecting iteration efficiency.

Method used

By acquiring domain knowledge at each stage, defining metadata, extracting attribute and relationship information of components, aligning and constructing standard relationships and attribute information, establishing a component database, and building a central semantic model to achieve data mapping and synchronization.

Benefits of technology

It enables timely and effective modification of data at each stage, improves iteration efficiency, and ensures semantic consistency of information and synchronous data updates.

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Abstract

This application relates to the field of data processing technology, and in particular to a data maintenance method, apparatus, digital master platform, and computer equipment. The method, applied to a digital master platform, includes: acquiring domain knowledge for each stage of the global process and determining the metadata definition of each element within that domain knowledge; extracting attribute information of components at each level and relationship information between components from the application model corresponding to each stage; aligning the metadata definition with the relationship and attribute information for each stage to obtain standard relationship and attribute information for the target dimension; constructing a component database based on the standard relationship and attribute information; and constructing a central semantic model based on the component database corresponding to each stage. The central semantic model is used for data mapping of components to the application model corresponding to each stage. The solution adopted in this application can improve the efficiency of iteration between stages.
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