Prototype of domestic application for the monitoring of water distribution systems based on internet of things

Authors

DOI:

https://doi.org/10.33448/rsd-v9i10.8274

Keywords:

Internet of Things; Wi-Fi Networks; MQTT Protocol; Hall Effect Sensor; Flow Sensor; Embedded Systems; Microcontrollers; Esp32.

Abstract

Urban and rural water distribution systems have complex interactions between quantitative and qualitative water monitoring aspects. Such models still lack greater accuracy in providing real-time measurements and the impacts of their distribution on pipe networks over time. A loss estimation and location is one aspect that can be assessed through data acquisition methods using sensor networks and the Internet of Things (IoT) framework. This work developed an application prototype for the residential monitoring of water consumption using the ESP32 microprocessor, obtaining and analyzing measurement data over five months of observation, using statistical analysis tools to identify residential human consumption profiles and possible failures in distribution network. Nine water consumption points were monitored, where the sink for washing dishes had the highest consumption, followed successively by the shower in the bathroom suite, toilet in the bathroom suite, sink washing dishes, restroom toilet, restroom shower, washing machine, bathroom sink, and bathroom sink of the social toilet. The data were compared with the literature to assess peculiarities of our research and a path for the evolution of our application in future works.

Author Biographies

Kilbert Amorim Maciel, Instituto Federal de Educação, Ciência e Tecnologia do Ceará

Graduated in Electrical Engineering from the Federal University of Ceará (2004). He is currently an ebtt professor at the Federal Institute of Ceará - Campus Tauá. Has experience in the area of Electrical Engineering, with emphasis on Telecommunications, acting mainly on the following topics: computer networks, wireless networks, lte, internet and internet service provider. He worked for 15 years (2002-2017) as a specialist and consultant for mobile networks at the operator Oi, having worked in the areas of Mobile Network Core, Sales Planning and Optimization of mobile networks.

David Martins Leite, Instituto Federal de Educação, Ciência e Tecnologia do Ceará

Graduated in Industrial Maintenance by the Faculty of Technology of Cariri - Fatec-CE. He worked in the electronics department of the company PPA, period: from March 2012 to April 2013. He started teaching at CENTEC (Instituto Centro de Ensino Tecnológico) in November 2013 until July 2018 as coordinator of the electrotechnical course and professor, Master in Telecommunications Engineering at IFCE, where he also served as a volunteer with a scholarship in the period: February 2016 until December 2016 and a fellow in the electro acre project, from 2017 to 2018 e. His areas of interest are optical studies in the propagation of free space, fiber optics, electronics aimed at microcontrollers, automation systems, sensing, data management, creation of electronic equipment, Internet of Things (IoT).

José Wally Mendonça Menezes, Instituto Federal de Educação, Ciência e Tecnologia do Ceará

Degree, Bachelor, Master and Doctorate in Physics from the Federal University of Ceará (UFC). He is a professor at the Department of Telematics and the Graduate Program in Telecommunications Engineering (PPGET) both at the Federal Institute of Education, Science and Technology of Ceará (IFCE). He is a researcher at the Laboratory of Photonics and Applied Electromagnetism / IFCE and collaborator at the Laboratory of Telecommunications and Materials Science and Engineering - LOCEM / UFC. Has experience in Physics applied to Telecommunications, Electromagnetism, Classic Areas of Phenomenology and its Applications, acting mainly on the following themes: Telecommunications Systems, Graphene, Internet of Things (IoT), Big Data, Photonics, Sensor networks, Optical communication, Telehealth and Smart City.

References

Alves, A. J. R., Manera, L. T., & Campos, M. V. (2019). Low-cost wireless sensor network applied to real-time monitoring and control of water consumption in residences. Revista Ambiente e Agua, 9(3), 445–458. https://doi.org/10.4136

ANA. (2017). Conjuntura Dos Recursos Do Brasil. http://www.snirh.gov.br/portal/snirh/centrais-de-conteudos/conjuntura-dos-recursos-hidricos/conj2017_rel.pdf

CERP-IoT. (2009). Internet of Things Authentication: A Blockchain solution using SRAM Physical Unclonable Functions. Guardtime, 1–50. https://doi.org/10.1007/978-3-319-23585-1_2

Espressif. (2019). ESP32 Series - Datasheet. https://www.espressif.com/sites/default/files/documentation/esp32_datasheet_en.pdf

Faccioni Filho, M. (2016). Internet das coisas : livro digital. In GV-executivo (1st ed., Vol. 1). UnisulVirtual. https://doi.org/10.12660/gvexec.v5n1.2006.34372

Governo do Estado do Ceará. (2018). Plano de Ações Estratégicas de Recursos Hídricos do Ceará. https://www.srh.ce.gov.br/wp-content/uploads/sites/90/2018/07/PLANO-DE-ACOES-ESTRATEGICAS-DE-RECURSOS-HIDRICOS-CE_2018.pdf

Harwood, T. (2019). IoT Overview Handbook. General Overview. https://www.postscapes.com/iot/

Höller, J., Tsiatsis, V., Mulligan, C., Karnouskos, S., Avesand, S., & Boyle, D. (2014). M2M to IoT – An Architectural Overview. In A. Press (Ed.), From Machine-To-Machine to the Internet of Things (1st ed., pp. 61–77). https://doi.org/10.1016/b978-0-12-407684-6.00004-8

Lu, W., Fan, F., Chu, J., Jing, P., & Yuting, S. (2019). Wearable computing for internet of things: A discriminant approach for human activity recognition. IEEE Internet of Things Journal, 6(2), 2749–2759. https://doi.org/10.1109/JIOT.2018.2873594

Luciani, C., Casellato, F., Alvisi, S., & Franchini, M. (2018). From Water Consumption Smart Metering to Leakage Characterization at District and User Level: The GST4Water Project. Proceedings, 2(11), 675. https://doi.org/10.3390/proceedings2110675

Oliveira, S. de. (2017). Internet das Coisas com Esp8266, Arduino e Raspberry Pi (1a). Novatec.

Popli, S., Jha, R. K., & Jain, S. (2020). A Survey on Energy Efficient Narrowband Internet of Things ( NBIoT ): Architecture , Application and Challenges. IEEE Access, 7, 16739–16776. https://doi.org/10.1109/ACCESS.2018.2881533

Ray, A., & Goswami, S. (2020). IoT and Cloud Computing based Smart Water Metering System. 2020 International Conference on Power Electronics and IoT Applications in Renewable Energy and Its Control, PARC 2020, 308–313. https://doi.org/10.1109/PARC49193.2020.236616

Unesco. (2012). Relatório Mundial das Nações Unidas sobre o Desenvolvimento dos Recursos Hídricos ( WWDR4 ). http://www.unesco.org/water/wwap

Vasseur, J.-P., & Dunkels, A. (2010). Interconnecting Smart Objects with IP: The Next Internet. In Morgan Kaufmann. Elsevier. https://doi.org/10.1016/B978-0-12-375165-2.00022-3

Published

24/09/2020

How to Cite

MACIEL, K. A. .; LEITE, D. M. .; MENEZES, J. W. M. . Prototype of domestic application for the monitoring of water distribution systems based on internet of things. Research, Society and Development, [S. l.], v. 9, n. 10, p. e2059108274, 2020. DOI: 10.33448/rsd-v9i10.8274. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/8274. Acesso em: 23 jun. 2024.

Issue

Section

Engineerings