Seyoum, A.G. orcid.org/0000-0003-0848-4911, Tait, S., Schellart, A.N.A. et al. (2 more authors) (2024) Optimizing mobile sensor movement and trajectory to improve water distribution network calibration. In: HIC 2024: 15th International Conference on Hydroinformatics: From Nature to Digital Water: Challenges and Opportunities. 15th International conference on Hydroinformatics, HIC2024, 27-30 May 2024, Beijing, China. , pp. 149-150. ISBN 9789083430201
Abstract
This study introduces a novel approach for network calibration, optimizing mobile sensor movement and trajectory to enhance the quality of collected data. By randomly selecting initial deployment locations and fine-tuning sensor speed and path, network coverage, ranging from 44% to 59% can be achieved. This contributes to network calibration enhancement, achieved with the use of a single mobile sensor.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2024 by International Association for Hydro-Environment Engineering and Research (IAHR) and China Institute of Water Resources and Hydropower Research (IWHR). This work is licensed under the Creative Commons Attribution 4.0 International License (CC-BY 4.0). (http://creativecommons.org/licenses/by/4.0/) |
Keywords: | Calibration; Mobile sensor; Sensor trajectory; Optimization; Water distribution network |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Civil and Structural Engineering (Sheffield) |
Funding Information: | Funder Grant number ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL EP/S016813/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 16 Jul 2024 15:46 |
Last Modified: | 16 Jul 2024 15:46 |
Status: | Published |
Refereed: | Yes |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:214830 |