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Digital Models for Data Analytics and Digital Twins in Industrial Automation Applications: Introduction of a Common Interoperability Registry for linking diverse functional domains

机译:工业自动化应用中数据分析和数字双胞胎的数字模型:介绍用于连接不同功能域的常见互操作性注册表

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Digital representations of the physical world through the renowned "digital twin" concept, within industry 4.0 and Industrial Internet of Things (IIoT) environments, gave rise to several digital modelling approaches. This paper illustrates a complete digital model specifically focused on intensive Big Data operations, which is a common industry4.0 requirement. The model is established on patterns of world acclaimed standards-based digital models, as it was deployed successfully in one predictive maintenance manufacturing project and one project on edge computing with a block chain layer. Furthermore, the paper introduces the Common Interoperability Registry, a novel addition in the form of a standards-based, vendor-neutral method to map object entities belonging to different systems/databases. This facilitates discoverability and inserts a global unique identifier among entities from different functional domains.
机译:通过着名的“数字双胞胎”概念,在行业4.0和工业互联网(IIOT)环境中的数字陈述的数字表示,产生了几种数字建模方法。本文说明了一个完整的数字模型,专门专注于密集的大数据操作,这是一个常见的行业4.0要求。该模型是在世界赞誉的基于标准的数字模型的模式上建立的,因为它在一个预测性维护制造项目中成功部署,并使用块链层进行了一个项目。此外,本文介绍了常见的互操作性注册表,以标准的供应商 - 中性方法的形式添加了一种新的添加,用于映射属于不同系统/数据库的对象实体。这有助于可发现性,并在不同功能域中的实体中插入全局唯一标识符。

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