WATER ELECTRICITY MONITORING WEB-BASED APPLICATION

Abstract

Access to clean water and reliable electricity is fundamental to the well-being of individuals and the sustainability of modern societies. As utility consumption rises in urban and semi-urban areas, traditional resource monitoring systems are proving inefficient, delayed, and inadequate for large-scale or real-time management. Manual meter readings and delayed billing processes offer no insights into usage trends or abnormalities, leaving users unaware of excessive consumption or leaks until the end of the billing cycle. This research presents a smart and scalable solution using an Internet of Things (IoT)-based monitoring system that provides real-time tracking and analytics for both water and electricity consumption. The system is built using an ESP32 microcontroller integrated with calibrated sensors — a YF-S201 water flow sensor and an ACS712 current sensor — which continuously measure utility usage at the household or unit level. Sensor data is transmitted to a centralized MongoDB database using the MQTT protocol, ensuring efficient and secure communication.

A cloud-based dashboard, developed using Streamlit, visualizes the collected data in real-time, offering users an intuitive interface to monitor usage, compare trends, receive anomaly alerts, and download historical reports. The dashboard includes modules like daily/weekly/monthly analytics, personalized usage leaderboards, billing breakdowns, and a dark mode for enhanced accessibility.

Field deployment and validation of the prototype confirm the system’s accuracy, low-latency performance, and user-friendliness. Designed to operate in both resource-constrained and developed environments, this solution demonstrates the potential of IoT for promoting sustainable living through informed utility usage. The proposed system supports the global agenda of smart cities and environmental conservation through data-driven decision-making and resource optimization.