AIN-Based MEMS (Micro-Electro-Mechanical System) Hydrophone Sensors for IoT Water Leakage Detection System

There is an urgent need for industrial Internet of things (IoT) solutions to deploy a smart hydrophone sensor grid to monitor pipeline health and to provide an accurate prediction in the event of any leakage. One solution is to develop an IoT water leakage detection system consisting of an interface...

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Bibliographic Details
Published inWater (Basel) Vol. 12; no. 11; p. 2966
Main Authors Phua, Wee Kee, Rabeek, Sarbudeen Mohamed, Han, Beibei, Njihof, Edwin, Huang, Tyler Tianlu, Chai, Kevin Tshun Chuan, Yeo, Jason Hock Huat, Lim, Soon Thor
Format Journal Article
LanguageEnglish
Published MDPI AG 01.11.2020
Subjects
analytics
detection
hydrophone
IoT
process flow
water leakage
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Summary:There is an urgent need for industrial Internet of things (IoT) solutions to deploy a smart hydrophone sensor grid to monitor pipeline health and to provide an accurate prediction in the event of any leakage. One solution is to develop an IoT water leakage detection system consisting of an interface to capture acoustic signals from aluminum nitride (AlN)-based micro-machined infrasonic hydrophone sensors that are fed as inputs and predict an approximate leak location as a form of output. Micro-electro-mechanical systems (MEMS) are particularly useful for IoT applications with low power consumption and small device footprint. Data analytics including characterization, pre/post processing are applied to determine the leaks. In this work, we have developed the process flow and algorithm to detect pipe leakage occurrence and pinpoint the location accurately. Our approach can be implemented to detect leaks for different pipe lengths, diameters and materials.
ISSN:2073-4441
2073-4441
DOI:10.3390/w12112966