EGU2020-18824, updated on 12 Jun 2020
https://doi.org/10.5194/egusphere-egu2020-18824
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Low-cost sensor system based on LoraWAN for monitoring water distribution systems

Harald Roclawski1, Thomas Krätzig2, Benjamin Dewals3, Laurent Vercouter4, Aloysio Saliba5, Anika Theis1, Thomas Pirard3, Henrique Donancio4, Pierre Archambeau3, and Sébastien Erpicum3
Harald Roclawski et al.
  • 1Technical University of Kaiserslautern , Fluid Mechanics and Turbomachinery, Mechanical Engineering, Germany (roclawsk@mv.uni-kl.de)
  • 2Dr. Krätzig Ingenieurgesellschaft mbH, Aachen, Germany
  • 3Liege University, Research group Hydraulics in Environmental and Civil Engineering, Belgium
  • 4Institut national des sciences appliquées de Rouen, LITIS LAB, MIND Group, France
  • 5Federal University of Minas Gerais, Centro de Pesquisas Hidráulicas e Recursos Hídricos, Brazil

In the research project Iot.H2O, which is funded under the Water JPI Joint Call 2017 IC4WATER, the potential of the Internet of Things concept is investigated for monitoring and controlling water distribution systems. Smart sensors are used which send data via LoraWAN to gateways which are connected to the Internet. The aim of the project is to use low-cost sensors and open-source software.

In the presentation, a prototype on a laboratory scale will be shown. The design of the monitoring system will be explained in detail and compared to the design of standard SCADA systems. Results on a pump test rig based on a laboratory scale will be shown as well as first results of field tests in a real water distribution system in Germany.

The presentation will also detail how data gathered through the smart sensors will be integrated into software modelling and optimization of water distribution systems. Combined with the new data, such tools offer a range of applications of practical relevance, such as the identification of optimal locations of micro-turbines for energy recovery in water distribution networks and the estimation of water demand throughout the network.

How to cite: Roclawski, H., Krätzig, T., Dewals, B., Vercouter, L., Saliba, A., Theis, A., Pirard, T., Donancio, H., Archambeau, P., and Erpicum, S.: Low-cost sensor system based on LoraWAN for monitoring water distribution systems, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18824, https://doi.org/10.5194/egusphere-egu2020-18824, 2020

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