Publisher DOI: | 10.1109/BigData50022.2020.9378138 |
Title: | A Scalable and Dependable Data Analytics Platform for Water Infrastructure Monitoring |
Language: | English |
Authors: | Lorenz, Felix Geldenhuys, Morgan Sommer, Harald Jakobs, Frauke Luring, Carsten Skwarek, Volker ![]() Behnke, Ilja Thamsen, Lauritz |
Issue Date: | 2020 |
Publisher: | IEEE |
Startpage: | 3488 |
Endpage: | 3493 |
Project: | Intelligente Zustandserkennung in Wasser- und Abwassernetzwerken mittels verteitelter Schwarmsensorik |
Conference: | IEEE International Conference on Big Data 2020 |
Abstract: | With weather becoming more extreme both in terms of longer dry periods and more severe rain events, municipal water networks are increasingly under pressure. The effects include damages to the pipes, flash floods on the streets and combined sewer overflows. Retrofitting underground infrastructure is very expensive, thus water infrastructure operators are increasingly looking to deploy IoT solution... |
URI: | http://hdl.handle.net/20.500.12738/10899 |
ISBN: | 978-1-7281-6251-5 978-1-7281-6252-2 |
Review status: | This version was peer reviewed (peer review) |
Institute: | Forschungs- und Transferzentrum Digitale Wirtschaftsprozesse Fakultät Life Sciences Department Wirtschaftsingenieurwesen |
Type: | Chapter/Article (Proceedings) |
Funded by: | Bundesministerium für Bildung und Forschung |
Appears in Collections: | Publications without full text |
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