Aquasense : um sistema IoT adaptativo para monitoramento de água em ambientes desafiadores

Abstract

The growing water scarcity has driven the search for effective solutions for the conserva- tion and management of water resources, especially in regions where access to potable water is limited and irregular. IoT (Internet of Things) emerges as a promising technology in this scenario, enabling the development of intelligent systems capable of monitoring, analyzing, and improving water usage. However, the application of IoT in semi-arid regions faces specific challenges, such as poor infrastructure, unstable power supply, and harsh environmental condi- tions that directly affect sensor accuracy and device durability. Most of the solutions currently available are designed for urban contexts and smart city environments, where resources are not limited and connectivity is stable. These approaches often involve high operational costs and do not account for the limitations and uncertainties present in semi-arid regions, compromising their effectiveness and sustainability in these contexts. In this scenario, this work proposes Aquasense, an adaptive IoT solution specifically developed for monitoring water consumption in semi-arid environments. The system uses low-cost sensors installed in household cisterns to measure the levels of stored water. This data is transmitted to a distributed web applica- tion that provides intuitive visualizations, alerts, and depletion forecasts, helping users make informed decisions about conscious water use. What sets Aquasense apart is its adaptive capability: the system is designed to automatically adjust its behavior based on environmental conditions and resource availability, such as battery power. This adaptability allows for energy consumption optimization, prolonged device lifespan, and reliable measurements even in the face of operational difficulties. As such, Aquasense stands out as a viable, low-cost, and impactful alternative for the efficient management of water resources in challenging regions.