Smart Water-IoT: Harnessing IoT and AI for Efficient Water Management

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F25%3A43927238" target="_blank" >RIV/62156489:43110/25:43927238 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/62156489:43210/25:43927238 RIV/62156489:43670/25:43927238 RIV/61989100:27240/25:10258208

Výsledek na webu

<a href="https://doi.org/10.1145/3744338" target="_blank" >https://doi.org/10.1145/3744338</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3744338" target="_blank" >10.1145/3744338</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Smart Water-IoT: Harnessing IoT and AI for Efficient Water Management

Popis výsledku v původním jazyce

The treatment, monitoring, and distribution of drinking water is an integral component of critical national infrastructure and therefore places continually increasing demands on Water Distribution Networks (WDNs). This domain and its sub-sectors face several major problems, namely climate change and drought-induced rises in water consumption from surface and underground reservoirs, in addition to the existence of significant water leaks during transmission to end users. These problems can be addressed by deploying Internet of Things (IoT) systems and smart distribution grids to improve the efficiency and safety of water distribution and to easily detect leaks or unauthorized consumption. This type of smart grid is referred to as Smart Water-IoT (SW-IoT), a novel, comprehensive water management concept. This review article discusses the application of IoT components and artificial intelligence (AI) in five basic categories (agriculture, water treatment, security, WDNs, and wastewater). Relevant legislation in the EU, USA, Canada, Australia, China, Japan, and India is also reviewed. In this context, the mandatory implementation of smart remote data reading solutions into the critical infrastructure of EU member states is outlined to highlight the importance of responsible water handling. The article provides a detailed analysis of the current research in SW-IoT and defines the main research challenges for future investigation.

Název v anglickém jazyce

Smart Water-IoT: Harnessing IoT and AI for Efficient Water Management

Popis výsledku anglicky

The treatment, monitoring, and distribution of drinking water is an integral component of critical national infrastructure and therefore places continually increasing demands on Water Distribution Networks (WDNs). This domain and its sub-sectors face several major problems, namely climate change and drought-induced rises in water consumption from surface and underground reservoirs, in addition to the existence of significant water leaks during transmission to end users. These problems can be addressed by deploying Internet of Things (IoT) systems and smart distribution grids to improve the efficiency and safety of water distribution and to easily detect leaks or unauthorized consumption. This type of smart grid is referred to as Smart Water-IoT (SW-IoT), a novel, comprehensive water management concept. This review article discusses the application of IoT components and artificial intelligence (AI) in five basic categories (agriculture, water treatment, security, WDNs, and wastewater). Relevant legislation in the EU, USA, Canada, Australia, China, Japan, and India is also reviewed. In this context, the mandatory implementation of smart remote data reading solutions into the critical infrastructure of EU member states is outlined to highlight the importance of responsible water handling. The article provides a detailed analysis of the current research in SW-IoT and defines the main research challenges for future investigation.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20701 - Environmental and geological engineering, geotechnics

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

ACM Computing Surveys

ISSN

0360-0300

e-ISSN

1557-7341

Svazek periodika

57

Číslo periodika v rámci svazku

12

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

36

Strana od-do

304

Kód UT WoS článku

001541137800002

EID výsledku v databázi Scopus

2-s2.0-105011371013