IOT-DRIVEN INTELLIGENT MANHOLE SURVEILLANCE AND MAINTENANCE FRAMEWORK

Abstract

Urban infrastructure management is a critical component of modern smart cities, and manholes play a vital role in sewage and drainage systems. Failure to monitor and maintain manholes can lead to accidents, environmental hazards, and service disruptions. This study proposes an IoT-driven intelligent manhole surveillance and maintenance framework that continuously monitors manhole status using a network of IoT sensors. The system integrates ultrasonic sensors, gas sensors, and wireless communication modules to detect cover tampering, flooding, gas leakage, and other anomalies. Data collected from sensors are processed in real-time and transmitted to a cloud platform for analysis, visualization, and alert generation. Experimental results demonstrate that the proposed system provides real-time monitoring, predictive maintenance alerts, and improved safety, reducing risks for pedestrians and municipal services.