Real-time IoT architecture for water management in smart cities

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Abstract
This paper presents a digital system that aims to analyze real-time data obtained from sensors installed in a city's water distribution infrastructure. The system’s primary objective is to monitor water quality and generate alerts when necessary. The following water quality metrics are used: Flow, pH, Turbidity, Free Chlorine, Nitrate, and Fluoride. The data gathered from sensors is initially processed by a distributed system, which generates multiple visualizations that synthesize large amounts of information. These visualizations facilitate real-time monitoring of the sensor's status. Additionally, citizens can receive updates on any possible issues in the water distribution network through WhatsApp messages. By addressing the limitations of traditional water quality monitoring methods, this system contributes to a noteworthy enhancement in public water supply services. Consequently, it improves the overall quality of life for the citizens.

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