Open Sensing System for Long Term, Low Cost Water Quality Monitoring

Water is a major preoccupation for our generation since it is crucial in keeping a healthy ecosystem and supporting biodiversity. The state of aquatic systems and water bodies needs to be continuously monitored to make informed decisions and trigger sanitation when necessary. However, observing and...

Full description

Bibliographic Details
Main Authors: Quentin Quevy, Mimoun Lamrini, Mohamed Chkouri, Gianluca Cornetta, Abdellah Touhafi, Alexandre Campo
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Open Journal of the Industrial Electronics Society
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10005790/
_version_ 1827369171141263360
author Quentin Quevy
Mimoun Lamrini
Mohamed Chkouri
Gianluca Cornetta
Abdellah Touhafi
Alexandre Campo
author_facet Quentin Quevy
Mimoun Lamrini
Mohamed Chkouri
Gianluca Cornetta
Abdellah Touhafi
Alexandre Campo
author_sort Quentin Quevy
collection DOAJ
description Water is a major preoccupation for our generation since it is crucial in keeping a healthy ecosystem and supporting biodiversity. The state of aquatic systems and water bodies needs to be continuously monitored to make informed decisions and trigger sanitation when necessary. However, observing and tracking the evolution of many water bodies without disturbing and polluting the biotopes is expensive, not scalable, and thus, infeasible. This article presents a way to make sustainable measurements using a new low-cost, open-source, and autonomous monitoring system deployable in a broad network. The smart buoy is deployed and controlled by a central unit that uses lab-graded sensors to measure ambient factors. The custom electronic board offers sustainable electronics integration emphasizing power path and network connectivity. The smart buoy showed an average power consumption of 1.8 mA and a cost of 932 euros per device. Currently, five spots have been monitored, which allowed the understanding of why biological events, such as a massive fish death, occurred. The system is easily expandable and can be used in various applications to increase the knowledge of the underwater ecosystem.
first_indexed 2024-03-08T09:42:25Z
format Article
id doaj.art-175abf3f0a1842379c861cdb7db07b44
institution Directory Open Access Journal
issn 2644-1284
language English
last_indexed 2024-03-08T09:42:25Z
publishDate 2023-01-01
publisher IEEE
record_format Article
series IEEE Open Journal of the Industrial Electronics Society
spelling doaj.art-175abf3f0a1842379c861cdb7db07b442024-01-30T00:07:18ZengIEEEIEEE Open Journal of the Industrial Electronics Society2644-12842023-01-014274110.1109/OJIES.2022.323391910005790Open Sensing System for Long Term, Low Cost Water Quality MonitoringQuentin Quevy0https://orcid.org/0000-0002-1618-5121Mimoun Lamrini1https://orcid.org/0000-0002-8451-7255Mohamed Chkouri2https://orcid.org/0000-0001-7256-329XGianluca Cornetta3https://orcid.org/0000-0001-8614-079XAbdellah Touhafi4https://orcid.org/0000-0001-8891-180XAlexandre Campo5https://orcid.org/0000-0003-4817-4790Department of Engineering Technology, INDI, Vrije Universiteit Brussel (VUB), Brussels, BelgiumDepartment of Engineering Technology, INDI, Vrije Universiteit Brussel (VUB), Brussels, BelgiumSIGL Laboratory, ENSATE, Abdelmalek Essaadi University, Tetouan, MoroccoDepartment of Information Engineering, San Pablo-CEU University, Madrid, SpainDepartment of Engineering Technology, INDI, Vrije Universiteit Brussel (VUB), Brussels, BelgiumBiological & Artificial Self-Organized Systems Team, Interdisciplinary Center for Nonlinear Phenomena and Complex Systems, Université libre de Bruxelles, Brussels, BelgiumWater is a major preoccupation for our generation since it is crucial in keeping a healthy ecosystem and supporting biodiversity. The state of aquatic systems and water bodies needs to be continuously monitored to make informed decisions and trigger sanitation when necessary. However, observing and tracking the evolution of many water bodies without disturbing and polluting the biotopes is expensive, not scalable, and thus, infeasible. This article presents a way to make sustainable measurements using a new low-cost, open-source, and autonomous monitoring system deployable in a broad network. The smart buoy is deployed and controlled by a central unit that uses lab-graded sensors to measure ambient factors. The custom electronic board offers sustainable electronics integration emphasizing power path and network connectivity. The smart buoy showed an average power consumption of 1.8 mA and a cost of 932 euros per device. Currently, five spots have been monitored, which allowed the understanding of why biological events, such as a massive fish death, occurred. The system is easily expandable and can be used in various applications to increase the knowledge of the underwater ecosystem.https://ieeexplore.ieee.org/document/10005790/Sustainable electronicsremote water-quality sensingenvironmental monitoringsensor network
spellingShingle Quentin Quevy
Mimoun Lamrini
Mohamed Chkouri
Gianluca Cornetta
Abdellah Touhafi
Alexandre Campo
Open Sensing System for Long Term, Low Cost Water Quality Monitoring
IEEE Open Journal of the Industrial Electronics Society
Sustainable electronics
remote water-quality sensing
environmental monitoring
sensor network
title Open Sensing System for Long Term, Low Cost Water Quality Monitoring
title_full Open Sensing System for Long Term, Low Cost Water Quality Monitoring
title_fullStr Open Sensing System for Long Term, Low Cost Water Quality Monitoring
title_full_unstemmed Open Sensing System for Long Term, Low Cost Water Quality Monitoring
title_short Open Sensing System for Long Term, Low Cost Water Quality Monitoring
title_sort open sensing system for long term low cost water quality monitoring
topic Sustainable electronics
remote water-quality sensing
environmental monitoring
sensor network
url https://ieeexplore.ieee.org/document/10005790/
work_keys_str_mv AT quentinquevy opensensingsystemforlongtermlowcostwaterqualitymonitoring
AT mimounlamrini opensensingsystemforlongtermlowcostwaterqualitymonitoring
AT mohamedchkouri opensensingsystemforlongtermlowcostwaterqualitymonitoring
AT gianlucacornetta opensensingsystemforlongtermlowcostwaterqualitymonitoring
AT abdellahtouhafi opensensingsystemforlongtermlowcostwaterqualitymonitoring
AT alexandrecampo opensensingsystemforlongtermlowcostwaterqualitymonitoring