Optimization of Water Supply in Smart Cities: An Integrated Approach to  Data Management, Artificial Intelligence, and Smart Water Technologies

Henrique de Aguiar Lima; Talitha Evangelista Ferreira da Silva; Uirá Menezes de Azevêdo; Wallace Santos Alves dos Santos; Herman Augusto Lepikson

doi:10.34178/jbth.v9i9.725

Henrique de Aguiar Lima
Talitha Evangelista Ferreira da Silva
Uirá Menezes de Azevêdo
Wallace Santos Alves dos Santos
Herman Augusto Lepikson

DOI: https://doi.org/10.34178/jbth.v9i9.725

Keywords: Smart Water, Artificial Intelligence, Internet of Things, Data Management, Smart Cities

Abstract

Amid growing water scarcity and losses in distribution networks, it is crucial to find effective solutions that increase efficiency and ensure the sustainability of water management. This global demand is reflected in the regional scenario of the state of Bahia, especially in the capital, Salvador. Data from the Bahia State Basic Sanitation Regulatory Agency (AGERSA) points to recurring problems with water interruptions that are not sufficiently unpredictable. Based on this issue, this article presents a literature review on emerging technologies to improve water supply management in smart cities, with specific application to the capital of Bahia. The methodology employed involves a technical review of the main technologies currently applied in Smart Water Networks, including smart meters and advanced sensors for water quality monitoring, proposing an integrated model based on the Internet of Things (IoT) and Big Data analysis (AI; Machine Learning).The expected results include improved operational efficiency, greater accuracy in early detection and response to critical events such as leaks and supply interruptions, as well as greater transparency of water supply and treatment information for users and managers. The conclusion is that the implementation of the solution will significantly contribute to the technical, operational, and environmental sustainability of urban water systems.