Data Modeling Method and Application Practice on Identifiable Digital Object

Bin Xie, Juan Tian, Cheng Chi, Yang Liu
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引用次数: 0

Abstract

The intelligent optimization closed loop of “data-driven + industrial knowledge” is applied to the entire industrial chain and the entire value chain of the industry. The volume of industrial data is gradually increasing rapidly, and the content of industrial data is constantly enriched. A standardized industrial data model becomes the key to accelerating the precipitation, abstraction and reuse of industrial information. Based on the open and shared network ecosystem, this paper proposes the creation method and multi-role use process of the identifiable digital object (IDO) data model, and selects a specific industry product life cycle management scenario for data evaluation and analysis, and verifies the establishment of IDO It provides a more effective and complete method for users to share necessary industry information within or across enterprises.
可识别数字对象的数据建模方法及应用实践
将“数据驱动+产业知识”的智能优化闭环应用于产业全产业链、全价值链。工业数据量逐渐快速增长,工业数据内容不断丰富。标准化的工业数据模型成为加速工业信息的沉淀、抽象和重用的关键。本文基于开放共享的网络生态系统,提出了可识别数字对象(IDO)数据模型的创建方法和多角色使用流程,并选取了具体的行业产品生命周期管理场景进行数据评估分析,验证了IDO的建立,为用户在企业内部或跨企业共享必要的行业信息提供了更有效、更完整的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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