Smart IoT-Based Water Leakage and Quality Monitoring System with Automated Pump Control and Alert Mechanism

Abstract

This project introduces an Internet of Things (IoT)-based Smart Irrigation and Monitoring System that incorporates automated motor control, water quality monitoring, and real-time water leak detection with voice and SMS notifications. Accurate pipe leak detection is made possible by the system's continuous comparison of inlet and output flow rates using dual water flow sensors. The controller instantly cuts off the motor to avoid wasting water when it detects any unusual flow disparity. It also sends an SMS alert and, utilizing Twilio services, starts a voice call notification to the owner. Water quality is monitored using a TDS (Total Dissolved Solids) sensor; if the water quality drops below a predetermined level, the system sends out a programmed audio message and sends out SMS notifications. The system also allows both manual and automatic modes of operation. In manual mode, the motor can be controlled directly through a web dashboard without relying on sensors, whereas in automatic mode, the motor's operation is dependent on the data from a soil moisture sensor. This integrated architecture is a scalable and economical solution for precision agriculture since it guarantees optimal water management, quick fault response, increased reliability, and remote monitoring capabilities.A high-performance microprocessor with Wi-Fi connectivity is used in the system's design to enable smooth cloud integration. For remote display and logging, real-time sensor data is synchronized to a Firebase Realtime Database. Farmers can keep an eye on motor status, system mode, flow rate, and TDS levels from anywhere via a dedicated web dashboard. The web interface allows for the dynamic configuration of threshold values for water quality and leak detection. The architecture ensures motor shutdown under unusual operating situations by adhering to the fail-safe design principle. TwiML-based automatic speech responses are used to implement voice alerts for unambiguous event communication. By intelligently automating tasks, the system minimizes human intervention and lowers operating expenses. Long-duration field deployment is supported by optimized power usage. Future additions of sensors like temperature, humidity, or rainfall modules can be integrated thanks to the modular design. All things considered, the solution improves farm safety, crop dependability, and resource conservation by creating a single IoT-enabled monitoring ecosystem.