Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2024 - Volume 1 |
| Subtitle of host publication | Innovative Approaches in AI, IoT, and Software Systems |
| Editors | Marcelo V. Garcia, John-Paul Reyes, Carlos Nuñez, Carlos Gordón-Gallegos |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 663-680 |
| Number of pages | 18 |
| ISBN (Print) | 9783031987670 |
| DOIs | |
| State | Published - 2026 |
| Event | 6th International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2024 - Ambato, Ecuador Duration: 21 Oct 2024 → 25 Oct 2024 |
Publication series
| Name | Lecture Notes in Networks and Systems |
|---|---|
| Volume | 1516 LNNS |
| ISSN (Print) | 2367-3370 |
| ISSN (Electronic) | 2367-3389 |
Conference
| Conference | 6th International Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2024 |
|---|---|
| Country/Territory | Ecuador |
| City | Ambato |
| Period | 21/10/24 → 25/10/24 |
Bibliographical note
Publisher Copyright:© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- AI
- Digital transformation
- Management platforms
- Smart water
- Urban water
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