INTELLIGENT MODEL FOR MONITORING AND MANAGING WATER CONSUMPTION BASED ON WSN, IOT AND AI
This
work proposes the implementation of an intelligent system based on Wireless
Sensor Networks (WSN) and the Internet of Things (IoT) for real-time water
consumption monitoring using a digital water meter. The research is framed
within a qualitative, empirical, and descriptive approach, aiming to analyze
the potential of emerging technologies in improving water resource management,
reducing losses, and increasing the efficiency of measurement processes. The
proposed system uses the Arduino Uno microcontroller as a processing unit, due
to its accessibility, flexibility, low cost, and compatibility with different
computing platforms, including Windows and Linux operating systems. The
solution aims to overcome limitations of traditional measurement models, such as
reading errors, malfunctions, and equipment inaccuracies, allowing for the
continuous collection, processing, and transmission of data on water
consumption. The integration between IoT, smart sensors, and digital water
meters represents an innovative alternative to support decision-making, promote
the sustainable use of water, and contribute to the digital transformation of
water supply systems.
