Publication Type
Journal Article
Version
acceptedVersion
Publication Date
4-2020
Abstract
The use of water filtration Point-of-Use (POU) systems are extensive, ranging from water dispensers in public estates, to household POU water systems. Manufacturers typically recommend filtration cartridges to be changed (i) after their useful life, or (ii) when the water flow volume have exceeded certain capacity, whichever is earlier. However, filtration mechanisms are typically not changed with sufficient regularity. Overused filters can result in negative health effects, over and above the deterioration and loss of filtration benefits of the POU water system. Presently most existing water purification systems do not have smart connected Internet of Things (IoT) means of informing owners and suppliers the decline in water quality and the timely change in filters. Results of the proof-of-concept (POC) study comprises smart connected IoT sensors with integrated analytical capabilities, which will be useful to improve consumption management decisions for household consumers, building and estate managers, and government agencies managing public POU water dispenser systems. Considerations need to be given to “minimal-owner-effort” system architecture, real-time detection of sensor component failures and user-friendly issues alert dashboard, and the degree and frequency at which system monitoring and recovery would take place, among others. The modularization scalability and customizability of the solution to include more resource optimization and analytical capabilities across POU water filtration systems, will benefit POU water system owners, suppliers and manufacturers.
Keywords
point-of-use water filtration, smart IoT, analytics, water quality, management system, MITB student
Discipline
Data Science | Numerical Analysis and Scientific Computing | Software Engineering
Research Areas
Software and Cyber-Physical Systems
Publication
Test Engineering and Management
Volume
83
First Page
12561
Last Page
12568
ISSN
0193-4120
Publisher
Mattingley Publishing
Embargo Period
6-7-2021
Citation
LIM, Tristan; TAN, Hwee-Pink; ONG, Chin Sin; BELANI, Rahul; and AGRAWAL, Siddhant S. K..
Designing a smart Internet of Things solution for point of use water filtration management system in residential, commercial and public settings. (2020). Test Engineering and Management. 83, 12561-12568.
Available at: https://ink.library.smu.edu.sg/sis_research/5989
Copyright Owner and License
Authors
Additional URL
https://www.testmagzine.biz/index.php/testmagzine/article/view/5885
Included in
Data Science Commons, Numerical Analysis and Scientific Computing Commons, Software Engineering Commons