IoT-Smart Water Monitoring Module for Home Connection for Pattern Identification Based on ESP32-Grafana

This paper presents a robust IoT-enabled smart water monitoring system that employs an ESP32 microcontroller for real-time analysis of domestic water consumption patterns. By integrating YF-S201 Hall-effect water flow sensor, the system accurately measures flow rates, processes data at the edge, and transmits results to a Grafana cloud visualization platform for intuitive monitoring and analysis. The proposed solution employs MQTT protocols for efficient data transmission, ensuring lowpower operation and minimal network overhead, integrating SQLite database and CSV file for data analysis. Experimental validation demonstrates the system's ability to identify anomalies, such as leaks and irregular usage, enabling proactive water conservation. The implementation showcases best practices in IoT data acquisition, transmission optimization, and scalable cloud storage. This work contributes to sustainable water management by providing a cost-effective and adaptable solution for residential and industrial applications.