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Sensitivity of water meters to small leakage
2021 (English)In: Measurement, ISSN 0263-2241, E-ISSN 1873-412X, Vol. 168, article id 108479Article in journal (Refereed) Published
Abstract [en]

Water leakage beyond the meter at the household level is becoming an emerging problem in a world where water must be respected and saved. More than public awareness campaigns for citizens, automatic leakage detection could give in the future the best results. Domestic water consumption will be continuously monitored by smart meters able to distinguish between normal absorption and leakage. Nowadays, some research prototypes of smart water meters were designed for continuous monitoring aimed to collect measurements and send them to a central unit for developing statistics on consumptions and alarms. In this paper, the authors propose a battery-powered visual smart device that could be a good starting point to generate leakage alarms at the household level. After a brief description of state of the art, the paper at first faces the problem of the leakage detection dependence on meter sensitivity. Then, an image-based technique for automatic “null consumption detection” to be applied both to the register last digit and to a needle of water meters is tested on three different water meters. Finally, experimental results confirm that this image-based technique, allowing the automatic detection of Periods With Null Consumption, can be very useful for water leakage detection algorithms. © 2020 The Author(s)

Place, publisher, year, edition, pages
Elsevier B.V. , 2021. Vol. 168, article id 108479
Keywords [en]
AMI, Embedded system, EMPIR, Leakage detection, Smart water meter, Starting flow rate, Fiber optic sensors, Leakage (fluid), Water meters, Automatic Detection, Battery powered, Continuous monitoring, Image-based techniques, Public awareness campaign, Research prototype, State of the art, Water absorption
Identifiers
URN: urn:nbn:se:miun:diva-43074DOI: 10.1016/j.measurement.2020.108479ISI: 000582271500112Scopus ID: 2-s2.0-85091979335OAI: oai:DiVA.org:miun-43074DiVA, id: diva2:1595679
Note

Export Date: 20 September 2021; Article; CODEN: MSRMD; Correspondence Address: Carratù, M.; Department of Industrial Engineering (DIIn), Italy; email: mcarratu@unisa.it

Available from: 2021-09-20 Created: 2021-09-20 Last updated: 2021-09-20Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf