Autonomous Water Quality Monitoring for Remote Communities: A Proposed Architecture and AI Model for Prevention and Management
DOI:
https://doi.org/10.66104/3weft486Keywords:
Water Security; Environmental Monitoring; Artificial Intelligence; Predictive Maintenance; Water Asset Management.Abstract
This study proposes an autonomous architecture and an Artificial Intelligence (IA) model for asset management and continuous water contamination monitoring in remote areas, specifically focusing on the Yanomami Indigenous Territory (DSEI Yanomami). The objective is to validate a proof of concept capable of predicting heavy metal contamination, detecting hardware anomalies, and optimizing the resilience of supply systems. The methodology integrates low-cost IoT sensors with a Long Short-Term Memory (LSTM) recurrent neural network model fed by real-world logistical vulnerability indicators. Simulated results demonstrate that the AI can anticipate chemical contamination events 48 hours in advance and predict critical infrastructure hardware failures with a 30-day logistical window, achieving 95% accuracy in telemetry. Furthermore, AI-driven dynamic power management resulted in a 75% reduction in energy consumption. It is concluded that the proposal strengthens water security and public health by ensuring operational sustainability in vulnerable and isolated territories.
Downloads
References
ATLAS SCIENTIFIC. pH Sensor Probe & Circuit Overview. Atlas Scientific, 2023. Disponível em: https://atlas-scientific.com/kits/ph-sensor-kit/. Acesso em: 15 abr. 2025.
BRASIL. Ministério do Meio Ambiente. Qualidade da Água – Indicadores Ambientais. Governo do Brasil, 2022. Disponível em: https://www.gov.br/mma/pt-br/assuntos/monitoramento-e-informacoes-ambientais/qualidade-da-agua. Acesso em: 15 abr. 2025.
BRASIL. Ministério da Saúde. Vigipara - Vigilância da Qualidade da Água para Consumo Humano. Brasília, DF: MS, 2023. Disponível em: https://www.gov.br/saude/pt-br. Acesso em: 10 jan. 2026.
DFROBOT. Gravity: Heavy Metal Sensor Analog. DFRobot, 2023. Disponível em: https://wiki.dfrobot.com/Gravity_Heavy_Metal_Sensor_SKU_SEN0248. Acesso em: 15 abr. 2025.
GREFF, K. et al. LSTM: A Search Space Odyssey. IEEE Transactions on Neural Networks and Learning Systems, v. 28, n. 10, p. 2222-2232, out. 2017. Disponível em: https://ieeexplore.ieee.org/document/7508408. Acesso em: 18 out. 2025. DOI: https://doi.org/10.1109/TNNLS.2016.2582924
GSMA. Mobile IoT (NB-IoT & LTE-M): Enabling the Internet of Things. GSM Association, 2023. Disponível em: https://www.gsma.com/iot/mobile-iot/. Acesso em: 15 abr. 2025.
HAMEED, M. et al. Application of artificial neural networks for predicting water quality index in tropical rivers. Environmental Science and Pollution Research, v. 24, n. 28, p. 22618-22627, 2017. Disponível em: https://link.springer.com/article/10.1007/s11356-017-9900-5. Acesso em: 24 mar. 2026.
HOCHREITER, S.; SCHMIDHUBER, J. Long Short-Term Memory. Neural Computation, v. 9, n. 8, p. 1735-1780, nov. 1997. Disponível em: https://direct.mit.edu/neco/article/9/8/1735/6109. Acesso em: 18 out. 2025. DOI: https://doi.org/10.1162/neco.1997.9.8.1735
LECUN, Y.; BENGIO, Y.; HINTON, G. Deep learning. Nature, v. 521, n. 7553, p. 436-444, maio 2015. Disponível em: https://www.nature.com/articles/nature14539. Acesso em: 11 jan. 2026. DOI: https://doi.org/10.1038/nature14539
MURATA. Battery Fuel Gauge ICs for Lithium-ion. Murata, 2023. Disponível em: https://www.murata.com/en-us/products/batteries/fuelgauge. Acesso em: 15 abr. 2025.
ONU BRASIL. Declaração das Nações Unidas sobre os Direitos dos Povos Indígenas. Organização das Nações Unidas, 2007. Disponível em: https://brasil.un.org/pt-br/236649-declaracao-das-nacoes-unidas-sobre-os-direitos-dos-povos-indigenas. Acesso em: 18 out. 2025.
ORGANIZAÇÃO PAN-AMERICANA DA SAÚDE (OPAS). Exposição humana ao mercúrio na Amazônia brasileira. Brasília: OPAS, 2022. Disponível em: https://iris.paho.org/handle/10665.2/8145. Acesso em: 15 abr. 2025.
PASIKA, S.; GANDLA, S. T. Smart water quality monitoring system with cost-effective using IoT. Heliyon, v. 6, n. 7, e04096, jul. 2020. Disponível em: https://doi.org/10.1016/j.heliyon.2020.e04096. Acesso em: 24 mar. 2026. DOI: https://doi.org/10.1016/j.heliyon.2020.e04096
RAJAEE, T. et al. A review of artificial intelligence methods for predicting water quality. Journal of Hydrology, v. 582, p. 124451, mar. 2020. Disponível em: https://doi.org/10.1016/j.jhydrol.2019.124451. Acesso em: 24 mar. 2026. DOI: https://doi.org/10.1016/j.jhydrol.2019.124451
SANTOS, G. R.; SANTANA, A. S. Gestão Comunitária da Água: soluções e dificuldades do saneamento rural no Brasil. Texto para Discussão (IPEA), Brasília, n. 2601, out. 2020. Disponível em: https://repositorio.ipea.gov.br/handle/11058/10287. Acesso em: 24 mar. 2026.
SAYED, A. et al. A critical review of renewable energy based smart grid with internet of things (IoT). IEEE Access, v. 9, p. 114643-114676, 2021. Disponível em: https://ieeexplore.ieee.org/document/9512399. Acesso em: 13 jan. 2026.
SILVA, A. et al. Avaliação de redes LoRaWAN para monitoramento ambiental remoto em áreas de floresta. Revista Brasileira de Recursos Hídricos, v. 26, e15, 2021. Disponível em: https://www.scielo.br/j/rbrh/a/lorawan-floresta. Acesso em: 24 mar. 2026.
THE THINGS NETWORK. LoRaWAN - Long Range Communication for IoT. The Things Network, 2024. Disponível em: https://www.thethingsnetwork.org/docs/lorawan/. Acesso em: 15 abr. 2025.
U-BLOX. GPS Module NEO-6M Series. u-blox, 2022. Disponível em: https://www.u-blox.com/en/product/neo-6-series. Acesso em: 15 abr. 2025.
VILLALVA, M. G. Energia solar fotovoltaica: conceitos e aplicações. 2. ed. São Paulo: Érica, 2015. Disponível em: https://www.google.com.br/books/edition/Energia_solar_fotovoltaica/pYInDwAAQBAJ. Acesso em: 13 jan. 2026.
WORLD HEALTH ORGANIZATION (WHO). Guidelines for drinking-water quality: 4th edition incorporating the 1st addendum. Geneva: WHO, 2017. Disponível em: https://www.who.int/publications/i/item/9789241549950. Acesso em: 15 abr. 2025.
ZUBI, G. et al. The role of Li-ion batteries in the future 21st century energy systems. Renewable and Sustainable Energy Reviews, v. 81, p. 2935-2947, jan. 2018. Disponível em: https://doi.org/10.1016/j.rser.2017.06.102. Acesso em: 13 jan. 2026. DOI: https://doi.org/10.1016/j.rser.2017.06.102
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Thalisson Lian Gomes Oliveira, Marcos Eduardo Melo Dos Santos, Hugo Santos
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish in this journal agree to the following terms:
Authors retain copyright and grant the journal the right of first publication, with the work simultaneously licensed under the Creative Commons Attribution License, which permits the sharing of the work with proper acknowledgment of authorship and initial publication in this journal;
Authors are authorized to enter into separate, additional agreements for the non-exclusive distribution of the version of the work published in this journal (e.g., posting in an institutional repository or publishing it as a book chapter), provided that authorship and initial publication in this journal are properly acknowledged, and that the work is adapted to the template of the respective repository;
Authors are permitted and encouraged to post and distribute their work online (e.g., in institutional repositories or on their personal websites) at any point before or during the editorial process, as this may lead to productive exchanges and increase the impact and citation of the published work (see The Effect of Open Access);
Authors are responsible for correctly providing their personal information, including name, keywords, abstracts, and other relevant data, thereby defining how they wish to be cited. The journal’s editorial board is not responsible for any errors or inconsistencies in these records.
PRIVACY POLICY
The names and email addresses provided to this journal will be used exclusively for the purposes of this publication and will not be made available for any other purpose or to third parties.
Note: All content of the work is the sole responsibility of the author and the advisor.
