Automation of Urban Water Management Systems: A Machine Learning Approach

Kurban R.

6th Arab Water Week , AWW2023, Amman, Jordan, 5 - 09 March 2023, pp.1

  • Publication Type: Conference Paper / Summary Text
  • City: Amman
  • Country: Jordan
  • Page Numbers: pp.1
  • Abdullah Gül University Affiliated: Yes


Water supply and distribution systems are of great importance for people, other living things and industrial systems to continue their lives. Despite the decreasing water resources day by day, automation systems are used for both energy efficiency and water efficiency. Electronic monitoring units and sensors, which are getting smaller and more economical with Industry 4.0, create the internet of things by transmitting data to the internet with cloud computing. Water supply and distribution can be managed with high efficiency with artificial intelligence supported water management SCADA systems that imitate experienced operators with machine learning and optimization techniques. In this study, successful case studies are summarized. In addition, a model has been created for the estimation of the ideal energy consumption of pumps, whose instantaneous flow and energy consumption can be measured using a machine learning method, and experimental results are presented. Water and sewerage administrations affiliated to metropolitan municipalities that provide drinking water supply and distribution, municipalities, agricultural irrigation unions and agricultural enterprises, as well as all industrial institutions that use water in their processes, are required to remotely monitor and control their units such as pumps, tanks and water networks. Thus, it will be possible to provide feedback to the institution with the analysis of the big data obtained from the data obtained. In addition to all these, pressures on water resources can be reduced and water sustainability can be achieved with social awareness and preventive policies.