Status: published
Underground water pipelines are a critical part
of urban and rural infrastructure. However, leakages in these
concealed pipelines lead to massive water loss, soil erosion,
reduced water pressure, increased operational cost, and
contamination of drinking water. Traditional inspection
methods—manual surveying, visual inspection, and periodic
testing—are slow, labor-intensive, costly, and incapable of
providing real-time detection.
This study presents an IoT-based Underground Water
Pipeline Leakage Detection System, integrating pressure
sensors, flow sensors, acoustic vibration sensors, and moisture
sensors for continuous monitoring. An ESP32 IoT
microcontroller collects real-time sensor data and sends it to
cloud platforms such as Blynk for analytics and Firebase for
long-term storage. A web dashboard provides real-time leakage
alerts, data visualization, and pipeline status.Experimental
testing demonstrates that the proposed system provides reliable
stress detection, stable data transmission and fast cloud
synchronization. By combining physiological signal
measurement, IoT hardware, cloud databases and an interactive
website, the system offers a practical solution for real-time
stress tracking, early alerts and improved mental-health
management.
Experimental testing shows the system performs efficiently
in real-time water level detection, leakage identification, valve
automation, and quality assessment. By combining IoT sensors,
automation, cloud services, and mobile app integration, this
project provides a scalable, low-cost, and smart solution for
underground water management. It reduces manual effort,
prevents water wastage, improves water quality monitoring, and
promotes sustainable usage of underground water resources.
Keywords: Pressure Sensor, Flow Sensor,Multi-Sensor Fusion, IoT Automation, ESP32, Solenoid Valve Control, Ultrasonic Sensor, Water Flow Sensor, TDS Sensor, Turbidity Sensor, Blynk App, Firebase Cloud, Leakage Detection.