Experiences in integrating Internet of Things and cloud services with the robot operating system

2017 IEEE 15th International Conference on Industrial Informatics (INDIN) Pub Date : 2017-07-01 DOI:10.1109/INDIN.2017.8104924

S. Karnouskos, Nadine Gaertner, Nemrude Verzano, Frank Beck, Andre Becker, Santo Bianchino, Daniel Kuntze, M. Pérez-Francisco, R. Roy, Serge F. L. Saelens, Michael Schmut

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引用次数: 6

Abstract

New Internet of Things open source technologies, middlewares, and programming languages, make the quick integration of devices, systems and cloud services easier than never before. With their utilization, complex tasks such as object detection, tracking and tracing, can be easily realized, even by embedded devices in a fraction of time. The interplay of highly heterogeneous IoT devices and open source software, has been utilized in this work as a learning tool, in order to train developers and enhance their IoT skills. By designing, implementing, testing and deploying a rapid prototype, new knowledge is acquired, assessment of technologies and concepts is carried out, and the end-result, although developed in a constraint timeframe, is technologically promising, cost-effective and feature-rich. This work sheds some light on the prototype implemented and discusses the developer experiences and benefits of this IoT integration hands-on approach.

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有物联网、云服务与机器人操作系统集成的经验

新的物联网开源技术、中间件和编程语言使设备、系统和云服务的快速集成比以往任何时候都更加容易。随着它们的使用，复杂的任务，如目标检测，跟踪和跟踪，可以很容易地实现，甚至通过嵌入式设备在很短的时间内。在这项工作中，高度异构的物联网设备和开源软件的相互作用已被用作学习工具，以培训开发人员并提高他们的物联网技能。通过设计、实现、测试和部署快速原型，可以获得新知识，对技术和概念进行评估，最终结果虽然在有限的时间框架内开发，但在技术上是有前途的，具有成本效益和功能丰富的。这项工作揭示了实现的原型，并讨论了开发人员的经验和这种物联网集成实践方法的好处。

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2017 IEEE 15th International Conference on Industrial Informatics (INDIN)

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