Ir directamente a la navegación principal Ir directamente a la búsqueda Ir directamente al contenido principal

Advancements in Urban Water Consumption Management: A Review of Digital Transformation Through Smart Meters, Management Platforms, and Artificial Intelligence

Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

Resumen

This paper systematically reviews the main aspects of the digital transformation of urban water consumption systems that contribute to implementing smart meters, management platforms, and AI algorithms. The main research results revealed that smart meters have a high level of development in their measurement and connectivity technologies. In addition, blockchain is considered for implementing sensor networks and managing the computing platform. The core feature platform is a collection of technologies, such as leak monitoring and detection, billing services and financial management, and information management; these features are the most important in supporting all aspects of maintenance, infrastructure, and control involved in urban water treatment. Finally, we present AI methodologies to predict users’ consumption and persuade them to consume less urban water. This paper compiles and compares previous studies on these topics.

Idioma originalInglés
Título de la publicación alojadaProceedings of the International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2024 - Volume 1
Subtítulo de la publicación alojadaInnovative Approaches in AI, IoT, and Software Systems
EditoresMarcelo V. Garcia, John-Paul Reyes, Carlos Nuñez, Carlos Gordón-Gallegos
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas663-680
Número de páginas18
ISBN (versión impresa)9783031987670
DOI
EstadoPublicada - 2026
Evento6th International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2024 - Ambato, Ecuador
Duración: 21 oct. 202425 oct. 2024

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen1516 LNNS
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

Conferencia6th International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2024
País/TerritorioEcuador
CiudadAmbato
Período21/10/2425/10/24

Nota bibliográfica

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

  1. ODS 7: Energía asequible y no contaminante
    ODS 7: Energía asequible y no contaminante

Citar esto