AquaSCALE - Exploring Resilience of Community Water Infrastructures
Pages 7 - 8
Abstract
We present AquaSCALE, a framework for enabling middleware technologies and tools to model and explore the resilience and improved performance of urban infrastructures, e.g., water/power/natural gas distribution networks and transportation network. Today, detection of anomalous events (e.g., pipe breaks/leaks, contamination) in such complex distributed settings is time consuming and often takes hours or days. AquaSCALE integrates a multiplicity of data sources and technologies to enable quick and accurate identification of failures under the environment with growing complexity and uncertainties. We highlight essential research challenges in building such a sensor-simulation-data integration platform and illustrate the value of AquaSCALE using community water infrastructures as a driving use case.
References
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Q. Han and et al. 2017. Toward an integrated approach to localizing failures in community water networks. In ICDCS.
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Q. Han and et al. 2018. Enabling state estimation for fault identification in WDSs under large disasters. In SRDS.
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Q. Han and et al. 2019. AquaEIS: Middleware support for event identification in community water infrastructures. In Middleware.
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Q. Huang and et al. 2016. Dynamic detection of transmission line outages using hidden Markov models. Power Systems (2016).
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J. Kwac and et al. 2013. Utility customer segmentation based on smart meter data: Empirical study. In Smart grid.
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Y. Qi and et al. 2014. A Hidden Markov Model for short term prediction of traffic conditions on freeways. Transportation (2014).
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P. Venkateswaran and et al. 2019. Augmenting in-situ with mobile sensing for adaptive monitoring of WDNs. In ICCPS.
Index Terms
- AquaSCALE - Exploring Resilience of Community Water Infrastructures
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Published In
December 2019
38 pages
ISBN:9781450370424
DOI:10.1145/3366627
Copyright © 2019 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 09 December 2019
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Middleware '19
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Overall Acceptance Rate 203 of 948 submissions, 21%
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