Seyoum, A.G. orcid.org/0000-0003-0848-4911, Tait, S. orcid.org/0000-0002-0004-9555, Schellart, A.N.A. orcid.org/0000-0001-6494-8165 et al. (2 more authors) (2024) Advancing water distribution network calibration: a framework for comparing static and mobile sensing approaches. In: Alvisi, S., Franchini, M., Marsili, V. and Mazzoni, F., (eds.) Proceedings of The 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024). 3rd International Joint Conference on Water Distribution Systems Analysis & Computing and Control for the Water Industry (WDSA/CCWI 2024), 01-04 Jul 2024, Ferrara, Italy. Engineering Proceedings, 69 (1). MDPI
Abstract
This study introduces a novel framework for conducting a comparative analysis of static and mobile sensing approaches for the collection of data to be used in network calibration. Two new algorithms that optimize deployment for both static and mobile sensors are proposed. The results indicate that deploying a single mobile sensor starting from various locations throughout the network for 24 h can yield pipe roughness calibration results as good as, or slightly superior, to those obtained using static sensors at approximately 90% of the potential monitoring nodes.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
Keywords: | static sensing; mobile sensing; water distribution network; calibration; optimization |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > School of Mechanical, Aerospace and Civil Engineering |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 14 Oct 2024 14:03 |
Last Modified: | 14 Oct 2024 14:03 |
Status: | Published |
Publisher: | MDPI |
Series Name: | Engineering Proceedings |
Refereed: | Yes |
Identification Number: | 10.3390/engproc2024069073 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:218362 |