Enterprise data management system based on unified data models

Abstract

The invention relates to an enterprise data management system based on unified data models. The enterprise data management system comprises a dynamic modeling module, a data object defining module, a unified data center and a data show and management module. The dynamic modeling module is used for establishing a set of unified data models meeting the enterprise data management requirement for an enterprise. The data object defining module is used for defining data objects and data relations between the data objects, so that a data object set is formed. The unified data center is used for storing the data object set. The data show and management module is used for showing and managing all the data objects. By the adoption of the enterprise data management system, through the established unified data models, a user is assisted in defining all the data objects with a unified and standard format, the different data objects are related through the data relations, and all the data objects are managed uniformly through the unified data center; meanwhile, through the version management mechanism, management of process data objects is achieved, and the data objects can be easily retraced, diagnosed and changed.

Description

technical field [0001] The invention relates to an enterprise data management system, in particular to a data management system for realizing unified management of enterprise data. Background technique [0002] The development of complex products, such as airplanes, ships, and automobiles, is a highly complex system engineering, including multiple levels of overall, sub-system, and components, involving multiple disciplines such as aerodynamics, structure, and control, and requires multiple rounds of simplification. The most complicated development cycle. In this process, a large amount of data will inevitably be generated. These data cover all aspects of the product, and are of various types, including product description information, product design data, simulation data, test data, process data, program data, and technical indicators. Key features of these engineering data management include: [0003] 1. Static (such as some standards, design specifications, material da...

AI Technical Summary

Problems solved by technology

[0012] The present invention aims to solve the problems that the data existing in the current enterprise data management process is not uniformly expressed, so it is difficult to manage in a unified way, the process data lacks management, and the data association relationship at each stage is not effectively established and managed.

Images