A Self-Powered Wireless Water Quality Sensing Network Enabling Smart Monitoring of Biological and Chemical Stability in Supply Systems

Autor: Jacopo Foschi, Gaia Pani, Andrea Turolla, L. Mezzera, Francesco Zanetto, Michele Di Mauro, Marco Carminati, Manuela Antonelli, M. Tizzoni
Jazyk: angličtina
Rok vydání: 2020
Předmět:
energy harvesting
Computer science
Real-time computing
02 engineering and technology
lcsh:Chemical technology
01 natural sciences
Biochemistry
Predictive maintenance
Article
biofilm
Analytical Chemistry
interdigitated microelectrodes
User-Computer Interface
Electric Power Supplies
wireless sensor network
Robustness (computer science)
Water Quality
0202 electrical engineering
electronic engineering
information engineering
Wireless
lcsh:TP1-1185
Electrical and Electronic Engineering
Instrumentation
Warning system
Fouling
business.industry
010401 analytical chemistry
scaling
Biofilm
Electric Conductivity
Temperature
020206 networking & telecommunications
Atomic and Molecular Physics
and Optics
0104 chemical sciences
Pipeline transport
smart pipe
impedance
Water quality
business
Wireless sensor network
Energy harvesting
Microelectrodes
Wireless Technology
Environmental Monitoring
Zdroj: Sensors, Vol 20, Iss 4, p 1125 (2020)
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 4
ISSN: 1424-8220
Popis: 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 the micrometric thickness and type of slime. The measurement of thin deposits in pipes is descriptive of water biological and chemical stability and enables early warning functions, predictive maintenance, and more efficient management processes. After the description of the sensing node, the related electronics, and the data processing strategies, we presented the results of a two-month validation in the field of a three-node pilot network. Furthermore, self-powering by means of direct energy harvesting from the water flowing through the sensing node was also demonstrated. The robustness and low cost of this solution enable its upscaling to larger monitoring networks, paving the way to water monitoring with unprecedented spatio-temporal resolution.
Databáze: OpenAIRE
Externí odkaz:
Nepřihlášeným uživatelům se plný text nezobrazuje