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Private local automation clouds built by CPS: Potential and challenges for distributed reasoning

机译：CPS构建的私有本地自动化云：分布式推理的潜力和挑战

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The employment of cyber-physical systems allows the control of processes in modern production lines. On the other hand, several research works have recently presented how ontology-based knowledge representation can be a suitable method for modelling industrial systems. However, system models are located far away from where the data is generated which adds complexity for cross-domain communications and resource management. Current embedded devices can encapsulate ontological models that can be accessed as local resources. This article presents the integration of interconnected devices as the computational nodes of a cloud which is private and local. In this way, functionalities, such as knowledge management and process control can be performed closer to the industrial equipment. Moreover, this research work discusses the potential and challenges for performing distributed reasoning in the private local automation cloud. In addition, the article describes main aspects of the system architecture and the behaviour of the networked embedded devices in the cloud. The research work results will be used as a high-level roadmap for further system implementation.
机译：使用网络物理系统可以控制现代生产线中的流程。另一方面，最近的一些研究工作提出了基于本体的知识表示如何成为对工业系统建模的合适方法。但是，系统模型的位置远离生成数据的位置，这增加了跨域通信和资源管理的复杂性。当前的嵌入式设备可以封装可以作为本地资源访问的本体模型。本文介绍了互连设备的集成，这些集成设备是私有云和本地云的计算节点。这样，可以在更接近工业设备的地方执行诸如知识管理和过程控制之类的功能。此外，这项研究工作还讨论了在私有本地自动化云中执行分布式推理的潜力和挑战。此外，本文还介绍了系统体系结构的主要方面以及云中联网嵌入式设备的行为。研究工作结果将用作进一步实施系统的高级路线图。

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