Data processing automation for bulk water supply monitoring

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dc.contributor.author De Coning, Arno
dc.contributor.author Mouton, Francois
dc.date.accessioned 2021-06-11T05:58:47Z
dc.date.available 2021-06-11T05:58:47Z
dc.date.issued 2020-11
dc.description.abstract Water as a resource is becoming more scarce with South Africa having several provinces being struck with droughts. Up to 30% of water is lost through leaks in water distribution networks. It is common practice to monitor water usage in large water distribution networks. These monitoring systems unfortunately lack the ability to alert on high flow rates and detect water leaks unless the data is reviewed manually. The paper will explore statistical and Artificial Intelligence approaches to test the viability to detect leaks. This will can then be used as an alerting team to improve operational efficiencies of small teams and reduce repair time of leaks and thus reduces water lost through leaks. en_ZA
dc.description.department Electrical, Electronic and Computer Engineering en_ZA
dc.description.librarian hj2021 en_ZA
dc.description.uri https://link.springer.com/bookseries/6102 en_ZA
dc.identifier.citation De Coning A., Mouton F. (2020) Data Processing Automation for Bulk Water Supply Monitoring. In: Kreps D., Komukai T., Gopal T.V., Ishii K. (eds) Human-Centric Computing in a Data-Driven Society. HCC 2020. IFIP Advances in Information and Communication Technology, vol 590. Springer, Cham. https://doi.org/10.1007/978-3-030-62803-1_16. en_ZA
dc.identifier.issn 1868-4238 (print)
dc.identifier.issn 1868-422X (online)
dc.identifier.issn 978-3-030-62802-4 (print)
dc.identifier.issn 978-3-030-62803-1 (online)
dc.identifier.other 10.1007/978-3-030-62803-1_16
dc.identifier.uri http://hdl.handle.net/2263/80277
dc.language.iso en en_ZA
dc.publisher Springer en_ZA
dc.rights © IFIP International Federation for Information Processing 2020. All Rights Reserved. The original publication is available at : https://link.springer.com/bookseries/6102. en_ZA
dc.subject Artificial intelligence (AI) en_ZA
dc.subject Automation en_ZA
dc.subject Big data en_ZA
dc.subject Critical infrastructure en_ZA
dc.subject Data optimization en_ZA
dc.subject Leak detection en_ZA
dc.subject Water management en_ZA
dc.title Data processing automation for bulk water supply monitoring en_ZA
dc.type Postprint Article en_ZA


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