Automated Drainage Management System: AI and IoT-based Blockage Detection for Smarter Cities

Urban drainage systems frequently suffer from undetected blockages, hazardous gas buildups, and inefficient maintenance practices, leading to health risks and infrastructure damage. This research proposes the Drainage Defense System, an AI and IoT-based solution designed to tackle these issues through real-time monitoring and predictive maintenance. IoT sensors are deployed to track water levels, gas concentrations, and flow obstructions, while machine learning algorithms analyze this data to forecast blockages and suggest timely interventions. Field simulations demonstrate a 40% reduction in emergency maintenance events and improved response time by municipal authorities. The system's automated alerts and resource allocation features significantly enhance operational efficiency, reduce costs, and contribute to smarter, cleaner urban infrastructure.