Literature DB >> 33341763

Making urban water smart: the SMART-WATER solution.

Gerasimos Antzoulatos1, Christos Mourtzios2, Panagiota Stournara3, Ioannis-Omiros Kouloglou1, Nikolaos Papadimitriou2, Dimitrios Spyrou3, Alexandros Mentes3, Efstathios Nikolaidis1, Anastasios Karakostas1, Dimitrios Kourtesis2, Stefanos Vrochidis1, Ioannis Kompatsiaris1.   

Abstract

The rise of Internet of Things (IoT), coupled with the advances in Artificial Intelligence technologies and cloud-based applications, have caused fundamental changes in the way societies behave. Enhanced connectivity and interactions between physical and cyber worlds create 'smart' solutions and applications to serve society's needs. Water is a vital resource and its management is a critical issue. ICT achievements gradually deployed within the water industry provide an alternative, smart and novel way to improve water management efficiently. Contributing to this direction, we propose a unified framework for urban water management, exploiting state-of-the-art IoT solutions for remote telemetry and control of water consumption in combination with machine learning-based processes. The SMART-WATER platform aims to foster water utility companies by enhancing water management and decision-making processes, providing innovative solutions to consumers for smart water utilisation.

Entities:  

Year:  2020        PMID: 33341763      PMCID: wst_2020_391          DOI: 10.2166/wst.2020.391

Source DB:  PubMed          Journal:  Water Sci Technol        ISSN: 0273-1223            Impact factor:   1.915


  1 in total

Review 1.  A Review on Rainfall Measurement Based on Commercial Microwave Links in Wireless Cellular Networks.

Authors:  Bin Lian; Zhongcheng Wei; Xiang Sun; Zhihua Li; Jijun Zhao
Journal:  Sensors (Basel)       Date:  2022-06-10       Impact factor: 3.847

  1 in total

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