A Scalable, Low-Maintenance, Smart Water Quality Monitoring System

Anastasios Malissovas, Nitin Narayan, Thijl Boonen, S. Patki
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引用次数: 2

Abstract

This paper presents a smart water quality monitoring system which can measure, in real-time, the salinity, acidity, and temperature of the water. The system consists of three main units: the sensor probe, that incorporates Si-based sensors, the measuring station, and the cloud infrastructure. The proposed Internet of Things system is deployed in real-world applications and validated against commercial reference sensors. In this work, we demonstrate the long-term performance of the sensors in harsh environmental conditions without periodic maintenance, during a period of six months. Using the developed algorithms based on the measured impedance phase angle, the system can detect data irregularities and anomalous events such as biofouling and sensor failure, providing notifications to the end user for sensor maintenance or replacement.
可扩展,低维护,智能水质监测系统
本文提出了一种智能水质监测系统,可以实时测量水体的盐度、酸度和温度。该系统由三个主要单元组成:传感器探头(包含基于si的传感器)、测量站和云基础设施。提出的物联网系统已部署在实际应用中,并针对商业参考传感器进行了验证。在这项工作中,我们展示了传感器在恶劣环境条件下的长期性能,无需定期维护,为期六个月。利用基于测量阻抗相位角的开发算法,该系统可以检测数据异常和异常事件,如生物污垢和传感器故障,并向最终用户提供传感器维护或更换通知。
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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