Abstract
Water consumption is vital for human survival and plays a crucial role in the healthy functioning of the human body. However, the use of drinking water for human consumption has raised growing concerns due to water scarcity and droughts. Therefore, it is necessary to implement projects aimed at the effective use of water, including waste reduction and the reuse of alternative sources. This paper aims to describe the development of a low-cost water quality parameter monitoring system named APPT (Drinking Water for All), with a focus on the chlorine dosing system. Monitoring will be conducted in two reservoirs, one for storing rainwater and river water and the other for treating the stored water. The system provides automatic control of residual chlorine dosage and visualization of pH, water level, and temperature parameters through a website, using technologies such as Apache, Lolin D1 Mini Pro, MySQL, PHP, JavaScript, HTML, CSS, Node.js, and Twilio. Additionally, APPT includes a real-time notification system via SMS and the website to alert users about water shortages in the water treatment reservoir and when pH and temperature values are outside defined limits. The manuscript also presents preliminary results of the system: in the conducted experiments, correct monitoring of pH, chlorine, water level, and temperature parameters was observed. Notifications via SMS and the web were also successfully tested.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Araújo, A.: Contribuição para o estudo da viabilidade/sustentabilidade da dessalinização enquanto técnica de tratamento de água. Faculdade de Ciências e Tecnologia, Lisboa (2013)
Saraiva, S.: Avaliação da eficiência da desinfeção de efluentes urbanos com recurso a cloro. Universidade Nova de Lisboa, Lisboa (2015)
Vartak, S., Nimbalgundi, N., Poojary, K., Rodrigues, B.: The monitoring of water quality in an IOT environment using MQTT protocol. IoT-based Water Quality Monitoring System for Soft-Shell Crab Farming, p. 4 (2018)
Huang, A., Huang, M., Shao, Z., Zhang, X., Wu, D., Cao, C.: A practical marine wireless sensor network monitoring system based on LoRa and MQTT. Wireless Sensor Networks for Water Quality Monitoring using LoRa and MQTT, p. 7, 10–13 May 2019
Gibbsa, M.S., Morgana, N., Maier, H.R., Dandy, G.C., Holmes, M., Nixon, J.: Use of artificial neural networks for modelling chlorine residuals in water distribution systems. Monitoring and Modeling Chlorine Residual Concentration in Water Distribution Systems Using Artificial Neural Networks, p. 06 (2003)
Bowden, G.J., Maier, H.R., Dandy, G.C.: Optimal division of data for neural network models in water resources applications. Water Resour. Res. 2–38 (2002)
Paz, M., et al.: Wireless sensors for measuring drinking water quality in building plumbing. ACS ES&T Engineering, pp. 423–433, 18 December 2021
Zukeram, E.S.J., Provensi, L.L., Oliveira, M.V.D., Ruiz, L.B., Lima, O.C.D.M., Andrade, C.M.G.: In situ IoT development and application for continuous water monitoring in a lentic ecosystem in South Brazil. Water 20 (2023)
Paz, E.F.M., et al.: Wireless sensors for measuring drinking water quality in building plumbing: deployments and insights from continuous and intermittent water supply systems. Real-Time Monitoring of Chlorine Residuals in a Drinking Water Distribution System Using Wireless Sensor Networks, pp. 423–433, 24 October 2021
arduino. https://store.arduino.cc/products/arduino-uno-rev3. Accessed 21 Oct 2023
Robot Electronics: SRF04 - Ultra-Sonic Ranger Technical Specification (2003). https://www.robot-electronics.co.uk/htm/srf04tech.htm. Accessed 08 Mar 2023
Mauser: Grove - Sensor de medição PH (E-201C-Blue) – Seeed. https://mauser.pt/catalog/product_info.php?products_id=096-8594. Accessed 08 Nov 2023
Rajguruelectronics: Relay Module 2 Channel with Optocoupler 12V. https://rajguruelectronics.com/ProductView?tokDatRef=MTMyODE=&tokenId=NjE=&product=ADIY%202%20CHANNEL%20RELAY%20BOARD%2012v. Accessed 08 Nov 2023
Instituto Regulador de Águas e Resíduos, Recomendação IRAR n.º 05/2007 DESINFECÇÃO DA ÁGUA DESTINADA AO CONSUMO HUMANO (2007)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Benguela, S., Caetano, F., Silveira, C. (2024). Low-Cost System for Monitoring Water Quality Parameters in Lentic and Lotic Ecosystems. In: Rocha, Á., Adeli, H., Dzemyda, G., Moreira, F., Poniszewska-Marańda, A. (eds) Good Practices and New Perspectives in Information Systems and Technologies. WorldCIST 2024. Lecture Notes in Networks and Systems, vol 989. Springer, Cham. https://doi.org/10.1007/978-3-031-60227-6_7
Download citation
DOI: https://doi.org/10.1007/978-3-031-60227-6_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-60226-9
Online ISBN: 978-3-031-60227-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)