用于空气质量监测的可再生能源采集传感器系统

F. Touati, Claudio Legena, Alessio Galli, D. Crescini, P. Crescini, A. B. Mnaouer
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引用次数: 5

摘要

致力于环境监测的无线传感器网络(wsn)主要采用便携式和有限的能源(例如锂,碱性,镍氢电池)来支持传感器功能。利用环境资源作为能源助推器,目前正在上升为嵌入式和无线计算系统的可行能源,在这些系统中,人工定期更换数百甚至数千个电池是不现实的。因此,大量的研究工作已经花费在设计节能的智能传感器节点和网络上,以最大限度地延长无线传感器网络的寿命。然而,在空气质量监测系统中,传感器在部署后需要运行更长的时间(如数年甚至数十年)。根据上述方法,本文提出了SENNO(传感器节点),这是一种可再生能源收集传感器节点,可以在空气质量监测期间智能地管理能量传输,以实现连续运行,无需人为干预。本文讨论了设计一个由环境能量收集驱动的自主系统所面临的挑战。初步结果表明,该方法可以有效地报告和追踪空气质量水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Renewable energy-harvested sensor systems for air quality monitoring
Wireless sensor networks (WSNs) devoted to environmental monitoring has preponderantly assumed the adoption of a portable and limited energy source, (e.g. lithium, alkaline, NiMH batteries), to support the sensor functionalities. The usage of environmental resources as energy booster is now rising up as a workable energy source dedicated to embedded and wireless computing systems where manual replacement of hundreds or even thousands of batteries on a regular basis is not practical. Consequently, substantial research efforts have been spent on designing energy-efficient smart sensor nodes and networks to maximize the lifetime of WSNs. However, in air quality monitoring systems sensors are required to operate for much longer durations (like years or even decades) after they are deployed. Following the above approach this paper presents SENNO (SENsor NOde), a renewable energy-harvested sensor node that intelligently manages energy transfer for continuous operation without human intervention during air quality monitoring. This paper discusses the challenges of designing an autonomous system powered by ambient energy harvesting. Preliminary results show that, the presented approach could effectively report and trace air quality levels.
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