面向制造企业数据空间的多维系统架构

Kuan Lu, Zhijian Cheng, Hongru Ren, Renquan Lu
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引用次数: 1

摘要

阐述了各国制造企业数据空间模型的概念和特点,提出了面向制造企业数据空间的多维数据系统架构。制造企业对大数据进行有效的分析和处理,可以为制造企业提供更有效的模型构建、集成检索和智能管理策略,从而降低成本,提高效率。对整个系统的数据空间和制造企业的整个价值链进行了系统的概述。首先,明确了业务域、加工域和模态域三个维度;其次,阐述了在各领域各阶段应用数据处理的方法;最后,总结了该数据模型的优点和重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Multidimensional System Architecture Oriented to the Data Space of Manufacturing Enterprises
The concept and characteristics of the data space model of manufacturing enterprises in various countries are expounded, and a multi-dimensional data system architecture oriented to the data space of manufacturing enterprises is proposed. The effective analysis and processing of big data in manufacturing enterprises can provide them with more effective model building, integrated retrieval and intelligent management strategies, so as to reduce costs and increase efficiency. A systematic overview of the data space of the entire system and the entire value chain of the manufacturing enterprises is carried out. First, the three dimensions of the business domain, the processing domain and the modal domain are clarified; secondly, the methods of applying data processing at each stage in each domain are explained; finally, the advantages and importance of the data model are summarized.
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