能源收集物联网解决方案的测试平台和实验性公共数据集

M. Kuzman, X. D. T. García, Soledad Escolar, A. Caruso, S. Chessa, J. C. López
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引用次数: 4

摘要

物联网(IoT)范式提出了各种各样的应用领域,其中数百万设备不间断地工作,以改善我们生活的某些方面。为了支持在设备上工作的应用程序的持续执行,能量收集系统能够提取环境中自然存在的能量(例如来自太阳或风),并将其转换为能够维持设备运行和充电的能量,并结合适当的调度策略,使设备达到电力可持续状态(即能量中性状态)。然而,在文献中发现的大多数以实现能量中性为导向的作品都是通过模拟来评估的,这意味着,尽管精确地建模了硬件特征和能源生产,但缺乏我们在实际部署中发现的真实感。工作的一小部分基于实际部署,但不共享允许复制分析的收集数据。考虑到这一目的,在本文中,我们描述了一个为物联网环境中的户外监测目的而设计的测试平台,配备了几个用于天气状况监测的传感器和一个太阳能电池板,以提供潜在无限的应用寿命。测试平台部署在建筑物的屋顶上,它不间断地执行一个应用程序,该应用程序能够在两个多月的时间内使用收集到的信息生成数据集。这个数据集已经在网上发布,用于不同的研究目的,例如,能源生产的预测模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Testbed and an Experimental Public Dataset for Energy-Harvested IoT Solutions
The Internet of Things (IoT) paradigm poses a great variety of application domains where million of devices work uninterruptedly to improve some aspect of our lives. To support the continuous execution of the applications working on the devices, energy harvesting systems enable to extract the energy found naturally in the environment (for instance from the sun or from the wind) and convert it into energy able to either sustain the device’s operation and recharge its batteries which, in conjunction with an appropriate scheduling strategy, led to the device to an electrically sustainable state (i.e. an energy-neutral state). Most of the works found in literature oriented to achieve energy neutrality are however evaluated by means of simulation which means that, in spite of precisely modeling hardware features and energy productions, lack of the realism that we find in a real deployment. A minor part of the works are based on a real deployment but do not share the collected data that permit to replicate the analysis. With this purpose in mind, in this article we describe a testbed designed for outdoor monitoring purposes in the IoT context, equipped with several sensors for weather conditions monitoring and with a solar panel to provide application lifetimes potentially infinite. The testbed was deployed on the roof of a building and it executed uninterruptedly an application able to generate a dataset with the collected information over a period of more than two months. This dataset has been online published to be used for different researching purposes, as for instance, prediction models of the energy production.
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