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Notice of retraction
Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
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Sensors and Materials, Volume 33, Number 2(2) (2021)
Copyright(C) MYU K.K.
pp. 575-583
S&M2477 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2021.2442
Published: February 16, 2021

Cost-effective Evaluation, Monitoring, and Warning System for Water Quality based on Internet of Things [PDF]

Le Phuong Truong

(Received May 6, 2019; Accepted December 15, 2020)

Keywords: Arduino Mega2560, IoT, cost-effective, warning system

This paper proposes an evaluating, monitoring, and warning system for water quality for taking care of fish that includes an Arduino Mega2560 board and a sensor system with wireless communication technologies based on IoT technology. Not only the temperature but also the pH and dissolved oxygen (DO) content of water are acquired through the Arduino Mega2560 board. These measurement data are transferred to the server through ESP8266 and SIM800A modules integrated on the board. The stored temperature, pH, and DO values are displayed on a ThingSpeak server. Furthermore, the fault detection of water quality under real working conditions is handled and displayed on the platform or a cellphone-based web service and short messaging service (SMS). The accuracy and reliability of the system for the functions of monitoring, evaluation, and fault detection were demonstrated. Compared with established systems, the proposed system has the advantages of (1) reduced cable use for the monitoring system, (2) a warning system via a cellphone-based SMS cellphone or web service, (3) cost-effectiveness, and (4) portability.

Corresponding author: Le Phuong Truong


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This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Le Phuong Truong, Cost-effective Evaluation, Monitoring, and Warning System for Water Quality based on Internet of Things, Sens. Mater., Vol. 33, No. 2, 2021, p. 575-583.



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