Wireless Battery-Free Self-Powered Water Leak Detection Through Hydroelectric Energy Harvesting

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Mohammadreza Rouhi;Roshan Nepal;Simran Chathanat;Nimesh Kotak;Nathan Johnston;Ahmad Ansariyan;Kamalpreet Kaur;Kushant Patel;Norman Zhou;George Shaker
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Abstract

Water leaks pose remarkable challenges to infrastructure, leading to costly damage and substantial resource waste. Traditional battery-powered leak detection systems present significant environmental challenges due to their nonsustainable nature, frequent replacements, recycling complexities, and associated operational costs. This work introduces a novel approach to water leak detection that circumvents these limitations using a self-powered water leak detection sensor system that harnesses hydroelectric energy. The self-powered system comprises a highly responsive sensor unit and a low-power wireless communication circuit, all interconnected through an Internet of Things (IoT) hub. Our research includes the design of the self-powered system, electrical assessments of the sensor unit under various load conditions, and the development of a custom energy management circuit utilizing an ultralow power Bluetooth low-energy (BLE) chipset. Performance evaluation tests demonstrated the system’s capabilities, with sensitivity to water leaks as low as 1 mm in depth, activation times of around 1 min, reliable operation across a temperature range of $- 20~^{\circ } $ C to $60~^{\circ } $ C, consistent performance over multiple cycles, efficient indoor signal transmission over distances up to 15 m, and minimal voltage degradation after 18 months shelf life, ensuring sufficient power for BLE activation. These quantitative results highlight the system’s edge over traditional methods, showcasing its novelty and potential for widespread application in sustainable infrastructure management.
通过水电能量收集实现无线无电池自供电漏水检测
漏水给基础设施带来了巨大挑战,导致代价高昂的损坏和大量资源浪费。传统的电池供电漏水检测系统由于其非可持续性、频繁更换、回收复杂性和相关运营成本,给环境带来了巨大挑战。这项工作介绍了一种新的漏水检测方法,利用自供电漏水检测传感器系统,利用水电能源,规避了这些限制。自供电系统包括一个高响应传感器单元和一个低功耗无线通信电路,所有这些都通过一个物联网(IoT)中枢相互连接。我们的研究包括自供电系统的设计、各种负载条件下传感器单元的电气评估,以及利用超低功耗蓝牙低能耗(BLE)芯片组开发定制能源管理电路。性能评估测试证明了该系统的能力,对深度低至 1 毫米的漏水具有灵敏度,启动时间约为 1 分钟,可在 $- 20~^{\circ } $ C 至 $60~^{\circ } $ C 的温度范围内可靠运行。C 到 $60~^{\circ } 的温度范围内可靠运行。C 的温度范围内可靠运行,多次循环后性能始终如一,室内信号传输距离最远可达 15 米,18 个月保质期后电压衰减极小,从而确保 BLE 激活所需的充足电量。这些量化结果凸显了该系统相对于传统方法的优势,展示了其新颖性以及在可持续基础设施管理中广泛应用的潜力。
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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