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IoT Watercare: Water Quality Control System in Unofficial Settlements of Peru Based in an IoT Architecture

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Authors
Salgado, Juanelv
Pizarro, Cesar
Wong, Lenis
Castillo, Jose
Issue Date
2022-01-01
Keywords
Housing
Network architecture
Quality control
Surveys
Tanks (containers)
Water quality

Metadata
Show full item record
Publisher
IEEE Computer Society
Journal
Conference of Open Innovation Association, FRUCT
URI
http://hdl.handle.net/10757/660278
DOI
10.23919/FRUCT54823.2022.9770881
Additional Links
https://ieeexplore.ieee.org/document/9770881
Abstract
Many homes in the country of Peru, especially those located in unofficial settlements, are not connected to public service networks, and in the case of residential water, require tanker truck delivery. However, this water has often been contaminated from the upstream storage, conveyance and delivery systems that provide it, and thus will not comply with government water quality standards, ultimately compromising the health of the people who rely on it. While the topic of quality monitoring in traditional water networks has been studied, research has not focused on water quality control in under-developed and under-served unofficial settlements. This study introduces an IoT architecture and web-based system for real-Time monitoring of the key water quality parameters to help municipalities and other government entities to act early when large volumes of low-quality water are detected. The system proposed was implemented across five layers: capture, communication, processing, storage and presentation. Two experiments were conducted in a residential home with real time measurement of temperature, turbidity, TDS y pH. When comparing the results of both experiments, the pH parameter had a better precision with a 2% error rate. In addition, the survey results showed that the experts agree with the proposal.
Type
info:eu-repo/semantics/article
Rights
info:eu-repo/semantics/embargoedAccess
Language
eng
ISSN
23057254
ae974a485f413a2113503eed53cd6c53
10.23919/FRUCT54823.2022.9770881
Scopus Count
Collections
Ingeniería de Sistemas de Información

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