An Intelligent IoT and AI-Based Framework for Autonomous Urban Drainage Management

Urban drainage systems in developing nations commonly experience severe flooding and infrastructure failure, often requiring hazardous manual scavenging.This paper introduces a Predictive-Prescriptive Autonomous Sanitation (P-PAS) framework that combines IoT sensor networks, advanced predictive analytics, and autonomous robotic maintenance.The proposed three-tier framework leverages real-time data to forecast blockages (using models such as LSTM), classify waste types, and allocate robotic cleaning assets based on contextual need and system state.By transitioning from reactive to intelligent, data-driven maintenance, P-PAS enhances operational efficiency, lowers costs, and eliminates the need for human entry into sewers.The solution directly supports the objectives of India's Smart Cities Mission, promoting scalable, humane, and sustainable urban sanitation management.