A TEG-Based Non-Intrusive Ultrasonic System for Autonomous Water Flow Rate Measurement

IF 3 3区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE IEEE Transactions on Sustainable Computing Pub Date : 2023-01-12 DOI:10.1109/TSUSC.2023.3236524
Sergey Mileiko;Oktay Cetinkaya;Darren Mackie;Rishad Shafik;Domenico Balsamo
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Abstract

Residential water meters accommodate various methods of power provisioning. Electromagnetic and ultrasonic meters, for example, often rely on a battery-like external power source, whereas mechanical meters harvest energy from water flow through an impeller. Although energy harvesting (EH) minimizes maintenance needs driven by battery depletion/replenishment, placing a physical element into the flow adversely affects water pressure. This intrusive EH/sensing technique is not user-friendly either since the meters with impellers need to be embedded into pipes by skilled personnel. Hence, this paper proposes a non-intrusive sensor system powered by thermoelectric generators (TEGs) for plug-and-play water flow rate measurement. This system, equipped with a custom-made energy management unit (EMU), adopts ultrasonic sensors, a task-based computing scheme, and a LoRa module for autonomous sensing and reporting of the flow rate. After summarizing thermoelectricity and delta time-of-flight ( $\Delta$ ToF)-based ultrasonic sensing theory, we provide the system model and design details with a particular focus on the EMU. Then, we experimentally evaluate the system under varying conditions, demonstrating their impact on average sensing and transmission periods. The results unveil that our proposal can achieve high measurement precision ( $\pm 1.4\%$ ), comparable to its intrusive and battery-powered counterparts, and thus has the potential of replacing the residential water meters.
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基于TEG的非侵入式超声波自动测量系统
住宅水表适用于各种供电方法。例如,电磁和超声波流量计通常依赖于类似电池的外部电源,而机械流量计则通过叶轮从水流中获取能量。尽管能量收集(EH)最大限度地减少了电池耗尽/补充引起的维护需求,但在水流中放置物理元件会对水压产生不利影响。这种侵入式EH/传感技术也不方便用户,因为带叶轮的仪表需要由熟练的人员嵌入管道中。因此,本文提出了一种由热电发电机(TEG)供电的非侵入式传感器系统,用于即插即用水流量测量。该系统配备了定制的能量管理单元(EMU),采用超声波传感器、基于任务的计算方案和用于自主感知和报告流速的LoRa模块。在总结了基于热电和Δ飞行时间($\delta$ToF)的超声波传感理论后,我们提供了系统模型和设计细节,特别关注EMU。然后,我们在不同条件下对系统进行了实验评估,证明了它们对平均传感和传输周期的影响。结果表明,我们的方案可以实现高测量精度($\pm 1.4\%$),与侵入式和电池供电的方案相当,因此具有取代住宅水表的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Sustainable Computing
IEEE Transactions on Sustainable Computing Mathematics-Control and Optimization
CiteScore
7.70
自引率
2.60%
发文量
54
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