Abstract

Drinking water distribution systems facilitate carrying potable water from water resources such as lakes, rivers, and water tanks to industrial, commercial, and residential consumers through complex pipe networks. This system may be affected by pollution or leaks. Drinking water quality monitoring is essential these days as the available water is polluted and can cause several diseases. Hence, it’s necessary to prevent any intrusion into water distribution systems and to detect pollution momentarily. In addition, it’s fundamental to detect and locate leaks that constitute a loss of water, which can cause damage to the infrastructure and can be a source of contamination. In this, we expose a detailed solution to provide water management with capabilities such as measuring, sensing, optimizing, and detecting the status of water and supporting infrastructure. First, we start with the detailed architecture of our smart system. Then, we reveal an adopted monitoring system for water quality analysis based on machine learning. Finally, we developed a distributed algorithm that detects and locates forthwith leaks in the water distribution system.