Prototype of domestic application for the monitoring of water distribution systems based on internet of things
DOI:
https://doi.org/10.33448/rsd-v9i10.8274Keywords:
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.
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
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Copyright (c) 2020 Kilbert Amorim Maciel; David Martins Leite; José Wally Mendonça Menezes
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