2020
DOI: 10.3390/s20041125
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A Self-Powered Wireless Water Quality Sensing Network Enabling Smart Monitoring of Biological and Chemical Stability in Supply Systems

Abstract: A smart, safe, and efficient management of water is fundamental for both developed and developing countries. Several wireless sensor networks have been proposed for real-time monitoring of drinking water quantity and quality, both in the environment and in pipelines. However, surface fouling significantly affects the long-term reliability of pipes and sensors installed in-line. To address this relevant issue, we presented a multi-parameter sensing node embedding a miniaturized slime monitor able to estimate th… Show more

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Cited by 55 publications
(42 citation statements)
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“…Next, we need to obtain a prediction of the future temperature, that is, the temperature value within one or several hours in the future. To a certain extent, machine learning models, leveraging the correlations among parameters, can be trained to quickly and automatically identify alterations and faults [ 7 ]. The original input time series data formed by time and temperature and the single output time-series data generated by machine learning and prediction have become the main parameters of the future environment in this design.…”
Section: Methods and Model Preparationmentioning
confidence: 99%
“…Next, we need to obtain a prediction of the future temperature, that is, the temperature value within one or several hours in the future. To a certain extent, machine learning models, leveraging the correlations among parameters, can be trained to quickly and automatically identify alterations and faults [ 7 ]. The original input time series data formed by time and temperature and the single output time-series data generated by machine learning and prediction have become the main parameters of the future environment in this design.…”
Section: Methods and Model Preparationmentioning
confidence: 99%
“…The dimensions of these sensors, all of the order of more than a few millimeters, allow them to be installed in smart meters and, in perspective, directly in the flow limiters of the taps according to advantages (water conservation, energy saving) and disadvantages (initial investments, reflective surfaces and extremely bright colors for infrared sensors) [11] also from the point of view of the loss of transmission signals [12].…”
Section: Smart Devices In the Home: Data Source For Ai Applicationsmentioning
confidence: 99%
“…In the field of chemical analysis, several important challenges need to be solved, for example, the development of new transducers compatible with this technology, i.e., devices with a small size, low price, and low consumption. Due to these limitations, the most commonly used transducers are (a) those based on either fluorescence or UV absorption measurements, (b) ion selective electrodes (ISE), and (c) impedance sensors [ 24 ].…”
Section: System Descriptionmentioning
confidence: 99%