使用本地云实现物联网自动化

J. Delsing, J. Eliasson, J. V. Deventer, Hasan Derhamy, P. Varga
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引用次数: 46

摘要

最近,各种形式的云计算原理和技术变得越来越重要。本文讨论了自动化和控制应用中的云计算。有人认为,开放互联网云的想法有这样的局限性,它不适合自动化。由于自动化在物理上和地理上都是局部的,因此引入本地自动化云的概念是不可避免的。这里建议本地自动化云应该是自包含的,能够在没有任何外部资源的情况下执行预期的自动化功能。因此,在本地云的边缘提供一个栅栏,防止任何入站或出站通信。这样的本地云提供了解决当前和未来自动化解决方案的关键需求的可能性。增加安全的云间管理和数据传输机制使本地自动化云能够满足物联网自动化系统的要求,如:1)广泛的物联网和遗留设备的互操作性2)通信和控制计算的延迟保证/预测的自动化要求。3)自动化系统的可扩展性,实现非常大的集成自动化系统4)自动化系统的安全性和相关安全性5)应用工程的便利性6)多利益相关者集成和操作敏捷性。本文讨论了如何在这样一个本地自动化云中满足这些需求,并参考了提出的解决方案。在车厢气候控制应用中进一步验证了本地自动化云概念。控制应用程序包括一个物联网控制器,四个物联网传感器和执行器,以及一个物理层通信网关。网关充当本地云核心功能的主机。气候控制应用程序已经成功实现,使用开源的箭头框架及其对自包含的本地自动化云的设计和实现的支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enabling IoT automation using local clouds
Various forms of cloud computing principles and technologies are becoming important recently. This paper addresses cloud computing for automation and control applications. It's argued that the open Internet cloud idea has such limitations that its not appropriate for automation. Since automation is physically and geographically local, it is inevitable to introduce the concept of local automation clouds. It's here proposed that local automation clouds should be self contained an be able to execute the intended automation functionalities without any external resources. Thus providing a fence at the rim of the local cloud preventing any inbound or outbound communication. Such a local cloud provides possibilities to address key requirements of both todays and future automation solutions. Adding mechanisms for secure inter-cloud administration and data tranfere enables local automation cloud to meet IoT automation system requirements as: 1) Interoperability of a wide range of IoT and legacy devices 2) Automation requirement on latency guarantee/prediction for communication and control computations. 3) Scalability of automation systems enabling very large integrated automation systems 4) Security and related safety of automation systems 5) Ease of application engineering 6) Multi stakeholder integration and operations agility. How these requirements can be met in such a local automation cloud is discussed with references to proposed solutions. The local automation cloud concept is further verified for a compartment climate control application. The control application included an IoT controller, four IoT sensors and actuators, and a physical layer communication gateway. The gateway acted as host for local cloud core functionalities. The climate control application has successfully been implemented using the open source Arrowhead Framework and its supports for design and implementation of self contained local automation clouds.
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