Abstract
Part of the percentage of water consumption in the domestic sector is linked to inadequate management of the resource in homes where 60% of total water consumption in the home is used for bathing and going to the toilet. The efficient use of water is an issue that has captured the attention of scientists, technicians, politicians and the community in general. The sustainability of water resources has been threatened by the current imbalance between water supply and demand. Thanks to new technologies, intelligent consumption of water in the home could balance the balance and reduce household expenses. The present work aims to estimate the water consumption of a family home with the help of a residential water consumption monitoring system using the Internet of Things. With the implementation of this system, it was possible to identify in real time the water consumption habits per user in a home, allowing to understand the dynamics or behavior within a family unit and validate with respect to the average value stipulated by the World Health Organization (WHO). It was also possible to determine consumption patterns, times of higher and lower demand and behavioral habits within the home that can generate future strategies for saving water. Based on the data obtained, it was possible to estimate the general consumption of the household and the behavior patterns of the members of the family unit. In addition, the project will allow the user who owns the system to employ preventive and corrective actions that optimize their water consumption.
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References
Khan, I.S., Ahmad, M.O., Majava, J.: Industry 4.0 and sustainable development: a systematic mapping of triple bottom line, circular economy and sustainable business models perspectives. J. Clean. Prod. 297, 126655 (2021)
Garcia-Samper, M., Manotas, E.N., Ramírez, J., Hernández-Burgos, R.: Cultura organizacional verde: análisis desde las dimensiones de sostenibilidad corporativa. Información Tecnológica 33(2), 99–106 (2022)
Liu, Y., et al.: Water resource conservation promotes synergy between economy and environment in China’s northern drylands. Front. Environ. Sci. Eng. 16(3), 1–12 (2021). https://doi.org/10.1007/s11783-021-1462-y
National Geographic: Cómo ahorrar agua. [En línea]. http://www.nationalgeographic.es/medio-ambiente/aguas-dulces/agua-ahorro. Consultado 17 de Abril del 2016
Manco, D., Guerrero, J., Ocampo, A.: Eficiencia en el consumo de agua de uso residencial. In: Revista Ingenierías Universidad de Medellín. Julio–Diciembre, vol. 11, no. 21, pp. 23–38 (2012)
Colombia. Ministerio de ambiente. Uso eficiente y ahorro del agua [En línea]. https://www.minambiente.gov.co/index.php/component/content/article?id=1449:plantilla-gestion-integral-del-recurso-hidrico-34. Consultado 17 de abril del 2016
Castro Pacheco, M.C., López López, J.: Estrategias pedagógicas y tecnológicas para promover el ahorro y uso eficiente del agua en las instituciones educativas del municipio de Valledupar (Colombia). Revista Espacios, 40, 29–30 (2019)
Samper, M.G., Florez, D.G., Borre, J.R., Ramirez, J.: Industry 4.0 for sustainable supply chain management: drivers and barriers. Procedia Comput. Sci. 203, 644–650 (2022)
Dixit, A., Jakhar, S.K., Kumar, P.: Does lean and sustainable manufacturing lead to Industry 4.0 adoption: the mediating role of ambidextrous innovation capabilities. Technol. Forecast. Soc. Change 175, 121328 (2022)
Jiménez, A., Marín, M.: Diseño de un programa de uso eficiente y ahorro de agua para el acueducto “Asamun” de la vereda Mundo Nuevo de la ciudad de Pereira. Tesis de grado en Administrador del Medio Ambiente. Pereira: Universidad Tecnológica de Pereira, 105 p. (2007)
Garmabdari, R., Shafie, S., Mohd Isa, M.: Maryam. sensory system for the electronic water meter. Selangor (2012). ISBN 978-1-4673-3119-7
Suh, D., Kim, H., Kim, J.: Estimation of water demand in residential building using machine learning approach. Korea (2015). ISBN 978-1-4673-6537-6
Fuentes, H., Mauricio, D.: Smart water consumption measurement system for houses using IoT and cloud computing. Environ. Monit. Assess. 192(9), 1–16 (2020). https://doi.org/10.1007/s10661-020-08535-4
Arsene, D., Predescu, A., Pahonțu, B., Chiru, C.G., Apostol, E.S., Truică, C.O.: Advanced strategies for monitoring water consumption patterns in households based on IoT and machine learning. Water 14(14), 2187 (2022)
Acknowledgments
The authors thank Ministerio de Ciencia, Tecnología e Innovación from Colombia and the Institución Universitaria de Barranquilla for funding this product under the project “FORTALECIMIENTO DE LAS CAPACIDADES DE INVESTIGACIÓN, INNOVACIÓN Y DESARROLLO DE TECNOLOGÍAS EN LA INSTITUCIÓN UNIVERSITARIA ITSA, A TRAVÉS DE LA DOTACIÓN DEL LABORATORIO DE PRODUCTIVIDAD EN EL DEPARTAMENTO DEL ATLÁNTICO” BPIN: 2020000100316.
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López, H., Laborde, L., Barros, C., Guerra, R., Ramirez, J. (2023). Estimation of Water Consumption in a Family Home Using IOT Systems. In: Streitz, N.A., Konomi, S. (eds) Distributed, Ambient and Pervasive Interactions. HCII 2023. Lecture Notes in Computer Science, vol 14036. Springer, Cham. https://doi.org/10.1007/978-3-031-34668-2_24
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DOI: https://doi.org/10.1007/978-3-031-34668-2_24
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