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Making urban water smart: the SMART-WATER solution.

Gerasimos Antzoulatos1, Christos Mourtzios2, Panagiota Stournara3

  • 1Information Technologies Institute (ITI), Centre for Research and Technology Hellas (CERTH), Thessaloniki, Greece

Water Science and Technology : a Journal of the International Association on Water Pollution Research
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This study introduces the SMART-WATER platform, using Internet of Things (IoT) and machine learning for efficient urban water management. It enhances decision-making for utilities and promotes smart water use for consumers.

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Area of Science:

  • Environmental Science and Engineering
  • Computer Science and Artificial Intelligence
  • Information and Communication Technology

Background:

  • The increasing prevalence of the Internet of Things (IoT), Artificial Intelligence (AI), and cloud computing is transforming societal behaviors and creating smart solutions.
  • Effective water resource management is a critical global challenge, necessitating innovative approaches.
  • Information and Communication Technology (ICT) offers novel pathways to enhance efficiency in the water industry.

Purpose of the Study:

  • To propose a unified framework for urban water management by integrating advanced IoT and machine learning.
  • To develop the SMART-WATER platform to support water utility companies in improving management and decision-making.
  • To provide consumers with innovative solutions for intelligent water utilization.

Main Methods:

  • Utilizing state-of-the-art IoT solutions for remote telemetry and control of water consumption.
  • Implementing machine learning-based processes for data analysis and predictive modeling.
  • Developing a unified framework to integrate these technologies for comprehensive urban water management.

Main Results:

  • The proposed framework enables enhanced remote monitoring and control of water systems.
  • Machine learning algorithms facilitate improved data-driven decision-making for water utilities.
  • The SMART-WATER platform offers a scalable solution for optimizing urban water management.

Conclusions:

  • The integration of IoT and AI presents a significant advancement in smart water management.
  • The SMART-WATER platform can lead to more efficient water resource utilization and utility operations.
  • This approach addresses critical water management issues in urban environments through technological innovation.