An Intelligent IOT- and AI-Driven Smart Water Distribution Monitoring System for Sustainable Urban Water Resource Management
ABSTRACT Water scarcity and inefficient water distribution have become major challenges in rapidly growing urban environments. Traditional water management systems suffer from leakage, unequal distribution, delayed fault detection, and lack of real-time monitoring. This paper proposes a Smart Water Distribution Monitoring System that integrates Internet of Things (IoT) devices, cloud computing, artificial intelligence (AI), and wireless sensor networks to enhance water distribution efficiency. The proposed system continuously monitors water quality, flow rate, pressure levels, reservoir status, and consumer usage patterns through smart sensors installed at strategic locations. The collected data is transmitted to a cloud platform where machine learning algorithms analyze consumption trends, predict demand, and identify abnormal conditions such as leakage, contamination, and unauthorized usage. Automated control valves regulate water distribution based on demand forecasting and resource availability. The system improves water conservation, reduces operational costs, minimizes water losses, and ensures equitable distribution. Experimental analysis demonstrates significant improvements in monitoring accuracy, leak detection efficiency, and water utilization compared to conventional systems. The proposed framework contributes toward the development of sustainable smart cities and intelligent water resource management. Keywords: Internet of Things (IoT), Smart Water Management, Cloud Computing, Artificial Intelligence, Water Distribution Network, Leak Detection, Smart Cities, Wireless Sensor Networks.