This project is part of the global trend of implementing advanced technological solutions for efficient water management, using an IoT system that allows real-time monitoring of the water level in the cistern of the main campus of the Universidad de las Fuerzas Armadas ESPE. The installation of this system sought to optimize the management of water resources by providing more accurate measurements than traditional manual methods. Therefore, the manual campaigns to measure the flow rates of the drinking water tank carried out between 2021 and 2024 were compared with those of the IoT sensor measured in 2025. The results showed that the IoT system made it possible to identify consumption patterns more accurately. For example, on Monday, February 17, 2025, the IoT sensor registered a maximum flow rate of 2.80 L/s, while manual measurements on Thursday, September 12, 2024, reported 4.00 L/s, reflecting a percentage variation of 30%. The average daily flows obtained from manual information collection in the period 2021–2024 were between 0.94 L/s (2023) and 1.29 L/s (2021), while, in 2025, the IoT sensor reported an overall average of 1.40 L/s. This represents an increase in the average daily flow of 9.3% compared to 2021, 16.3% compared to 2022, 32.1% compared to 2023, and 22.6% compared to 2024. The use of this technology enables us to transition towards intelligent water management, identifying moments of most significant consumption based on historical and current data, which is a fundamental pillar in the sustainability and efficiency of the resource.

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Integration of IoT Technology for Real-Time Monitoring of Water Level in Cisterns Based on Historical Data: Case Study of the Universidad De Las Fuerzas Armadas ESPE

  • David Carrera,
  • Axel López,
  • Kassandra Loor,
  • Joseph Tituaña

摘要

This project is part of the global trend of implementing advanced technological solutions for efficient water management, using an IoT system that allows real-time monitoring of the water level in the cistern of the main campus of the Universidad de las Fuerzas Armadas ESPE. The installation of this system sought to optimize the management of water resources by providing more accurate measurements than traditional manual methods. Therefore, the manual campaigns to measure the flow rates of the drinking water tank carried out between 2021 and 2024 were compared with those of the IoT sensor measured in 2025. The results showed that the IoT system made it possible to identify consumption patterns more accurately. For example, on Monday, February 17, 2025, the IoT sensor registered a maximum flow rate of 2.80 L/s, while manual measurements on Thursday, September 12, 2024, reported 4.00 L/s, reflecting a percentage variation of 30%. The average daily flows obtained from manual information collection in the period 2021–2024 were between 0.94 L/s (2023) and 1.29 L/s (2021), while, in 2025, the IoT sensor reported an overall average of 1.40 L/s. This represents an increase in the average daily flow of 9.3% compared to 2021, 16.3% compared to 2022, 32.1% compared to 2023, and 22.6% compared to 2024. The use of this technology enables us to transition towards intelligent water management, identifying moments of most significant consumption based on historical and current data, which is a fundamental pillar in the sustainability and efficiency of the resource.