IoT-enabled hydrological micrometering for public infrastructure management: implementation experience in Baja California Sur, Mexico
Main Article Content
Abstract
Water management in arid zones represents a structural challenge for higher education institutions, which must optimize their operations while assuming an active role in the sustainability of natural resources. The SMART-UABCS system is a technology-based proposal developed within a university context that leverages the Internet of Things, integrating micro-metering devices and encrypted communication protocols alongside a web platform that monitors water consumption in real time across institutional buildings. Because of its compatibility with the university ICT infrastructure through Lightweight Directory Access Protocol and Security Assertion Markup Language protocols, it was built entirely on open-source technologies to ensure technological autonomy and replicability. The system operated continuously in the main building of the H. XVII City Council of La Paz, Baja California Sur, between February and November 2023, achieving 95 percent operational efficiency, and employing ESP32-S3 microcontrollers, WiFi and LoRa communications, and a PHP 8.2 framework based on Laravel. The results strengthened early anomaly detection, the identification of temporal consumption patterns, and the generation of strategic information for evidence-based decision-making. “Reconocimientos ANUIES TIC 2023” awarded this project in the ICT for Social Responsibility category, confirming the system's relevance within the university Information and Communications Technology ecosystem and its potential for technological transfer to institutions facing water-related challenges in arid regions.
Downloads
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Este trabajo tiene la licencia CC BY-NC-ND 4.0
References
Alcalá-Rodríguez, J., Barbosa-García, J. C., Contreras-Guzmán, M. J., Gudiño-Lau, J., Charre-Ibarra, S. M., & Vélez-Díaz, D. (2022). Sistema de monitoreo doméstico para consumo de agua. XIKUA Boletín Científico de La Escuela Superior de Tlahuelilpan, 10(19), 17-23. https://doi.org/10.29057/xikua.v10i19.8049
Alshehri, M., Kumar, M., Bhardwaj, A., Mishra, S., & Gyani, J. (2021). Deep learning based approach to classify saline particles in water. Water, 13(9), 1251. https://doi.org/10.3390/w13091251
Beal, C. D., Flynn, J., & Gurung, T. R. (2017). Understanding water end use and consumption patterns: An exploratory study using smart meter data. Water Resources Research, 53(7), 6053-6072. https://doi.org/10.1002/2016WR020136
Comisión Nacional del Agua. (2024). Actualización de la disponibilidad media anual de agua en el acuífero La Paz, Estado de Baja California Sur. Subdirección General Técnica, Gerencia de Aguas Subterráneas.
Corraliza, J. A., & Martín, R. (2000). Estilos de vida, actitudes y comportamientos ambientales. Medio ambiente y comportamiento humano, 1(1), 31-56. Recuperado de: https://mach.webs.ull.es/PDFS/VOL1_1/VOL_1_1_c.pdf
Haughian, B. (2018). Design, launch, and scale IoT services (1ª ed.). Springer Science+Business Media.
Hessel, F., Almon, L., & Hollick, M. (2023). LoRaWAN security: An evolvable survey on vulnerabilities, attacks and their systematic mitigation. ACM Transactions on Sensor Networks, 18(4), artículo 70, pp. 1–55. https://doi.org/10.1145/3561973
Maddaus, W. O. (1984). Residential water conservation projects: Summary report. Brown and Caldwell.
Mahajan, S. (2022). Design and development of an open-source framework for citizen-centric environmental monitoring and data analysis. Scientific Reports, 12, 14416. https://doi.org/10.1038/s41598-022-18700-z
Okoli, N. J., & Kabaso, B. (2024). Building a Smart Water City: IoT Smart Water Technologies, Applications, and Future Directions. Water, 16(4), 557. https://doi.org/10.3390/w16040557
Pruna, E., Andaluz, V., Molina, C., Lara, R., Naranjo, C., & Escobar, I. (2016). Medidor digital de agua potable con comunicación inalámbrica. UTCiencia, 3(2), 85-94.
Ramos, H. M., McNabola, A., López-Jiménez, P. A., & Pérez-Sánchez, M. (2020). Smart Water Management towards Future Water Sustainable Networks. Water, 12(1), 58. https://doi.org/10.3390/w12010058
Ren, J., Zhu, Q., & Wang, C. (2022). Edge computing for water quality monitoring systems. Mobile Information Systems, 2022, artículo 5056606. https://doi.org/10.1155/2022/5056606
Rubio Jaramillo, C., García Cervantes, D., Barajas, M., Delgado Galván, X., & Mora Rodríguez, J. (2018). Validación de equipos de medición y control para el abastecimiento del agua. Jóvenes en la Ciencia. Revista de Divulgación Científica, 4(1), 2580-2584.
Sierra, D. H., Rojas, J. G., & García, Á. R. (2020). Sistemas inteligentes para el monitoreo y control del recurso hídrico. Revista de Ingeniería Ambiental, 15(3), 234-247.
Stewart, R. A., Willis, R., Giurco, D., Panuwatwanich, K., & Capati, G. (2010). Web-based knowledge management system: linking smart metering to the future of urban water planning. Australian Planner, 47(2), 66-74. https://doi.org/10.1080/07293681003767769