Data supply chain in Industrial Internet

A. Buda, Kary Främling, J. Borgman, Manik Madhikermi, Saeed Mirzaeifar, S. Kubler
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引用次数: 11

Abstract

The Industrial Internet promises to radically change and improve many industry's daily business activities, from simple data collection and processing to context-driven, intelligent and pro-active support of workers' everyday tasks and life. The present paper first provides insight into a typical industrial internet application architecture, then it highlights one fundamental arising contradiction: “Who owns the data is often not capable of analyzing it”. This statement is explained by imaging a visionary data supply chain that would realize some of the Industrial Internet promises. To concretely implement such a system, recent standards published by The Open Group are presented, where we highlight the characteristics that make them suitable for Industrial Internet applications. Finally, we discuss comparable solutions and concludes with new business use cases.
工业互联网中的数据供应链
工业互联网有望从根本上改变和改善许多行业的日常业务活动,从简单的数据收集和处理到情境驱动,智能和主动支持工人的日常任务和生活。本文首先提供了一个典型的工业互联网应用架构的见解,然后它强调了一个基本的矛盾:“谁拥有数据往往没有能力分析它”。这种说法可以通过想象一个有远见的数据供应链来解释,这个供应链将实现工业互联网的一些承诺。为了具体实现这样一个系统,我们介绍了Open Group最近发布的标准,其中我们强调了使这些标准适合工业互联网应用的特点。最后,我们将讨论可比较的解决方案,并以新的业务用例作为结论。
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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