INTELLIGENT REMOTE WATER CONSUMPTION MANAGEMENT SYSTEM

Abstract

This thesis presents the design and development of a smart digital platform for remote monitoring of water consumption, aiming to modernize traditional water distribution systems into adaptive digital ecosystems. The platform features a robust architecture and user-friendly design, enabling real-time consumption tracking with daily, weekly, and monthly analytics, as well as smart alerts for leaks or unusual patterns. Users can manage their accounts securely and remotely. Administrators benefit from tools to monitor city-wide consumption and generate advanced analytical reports. Although IoT sensors and machine learning were not implemented due to scope limitations, their future integration was thoroughly studied, and the platform was built with modular flexibility to support such extensions. Simulated data flows replicate realistic usage, helping users and managers identify anomalies and prepare for real-world sensor deployment. This project lays a strong foundation for future innovation in smart, sustainable, and scalable water management systems.