基于动能采集的传感和物联网系统:综述

IF 1.9 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Frontiers in electronics Pub Date : 2022-10-06 DOI:10.3389/felec.2022.1017511
Zijie Chen, F. Gao, Junrui Liang
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引用次数: 3

摘要

物联网(IoT)的快速发展吸引了学术界和工业界对普适传感和永久物联网的兴趣。随着物联网节点呈指数级增长,更换和充电电池被证明是对劳动力和资源的巨大浪费。动能收集(KEH)是一个新兴的研究领域,将浪费的环境动能转化为可用的电能,各种工作机制和设计已经开发出来,以提高性能。利用KEH技术,开发了许多运动驱动传感器,其中外部环境的变化直接转换为相应的自产生电信号,并证明了多种自传感应用的前景。此外,最近的一些研究侧重于利用产生的能量为整个物联网传感系统供电。这些系统全面考虑了机械、电气和网络部分,从而进一步实现了真正的自我维持和免维护的物联网系统。在这里,本文首先从环境和人体运动方面简要介绍KEH。此外,还详细介绍了基于keh的尖端传感器。随后,从两个方面重点介绍了基于keh的面向物联网的无电池传感系统。此外,每一章都有总结的注释。阐述了自供电传感的概念,介绍了基于keh传感在不同领域的研究进展。希望本文能为未来的普适传感和泛在物联网提供有价值的参考。
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Kinetic energy harvesting based sensing and IoT systems: A review
The rapid advance of the Internet of Things (IoT) has attracted growing interest in academia and industry toward pervasive sensing and everlasting IoT. As the IoT nodes exponentially increase, replacing and recharging their batteries proves an incredible waste of labor and resources. Kinetic energy harvesting (KEH), converting the wasted ambient kinetic energy into usable electrical energy, is an emerging research field where various working mechanisms and designs have been developed for improved performance. Leveraging the KEH technologies, many motion-powered sensors, where changes in the external environment are directly converted into corresponding self-generated electrical signals, are developed and prove promising for multiple self-sensing applications. Furthermore, some recent studies focus on utilizing the generated energy to power a whole IoT sensing system. These systems comprehensively consider the mechanical, electrical, and cyber parts, which lead a further step to truly self-sustaining and maintenance-free IoT systems. Here, this review starts with a brief introduction of KEH from the ambient environment and human motion. Furthermore, the cutting-edge KEH-based sensors are reviewed in detail. Subsequently, divided into two aspects, KEH-based battery-free sensing systems toward IoT are highlighted. Moreover, there are remarks in every chapter for summarizing. The concept of self-powered sensing is clarified, and advanced studies of KEH-based sensing in different fields are introduced. It is expected that this review can provide valuable references for future pervasive sensing and ubiquitous IoT.
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