Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
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
Implementering och utvärdering av algoritmer för identifiering av läckor från flödesdata
2019 (Swedish)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Uppsala Vatten, which is the water supply provider in Uppsala Municipality, has a leakage of 14 percent in their water distribution network. This amounts to a yearly loss of 2.4 million cubic meters of processed drinking water and 1.8 GWh of wasted energy. Uppsala Vatten has a set goal of lowering the leakage from 14 to 10 percent by 2022. 

The company has around 40 wireless flow meters and is interested in using data analysis on flow data collected by these to find leaks more rapidly and thus decrease water loss. In this paper five algorithms for change detection were implemented and evaluated for the application of identifying leaks in water flow data.

Implementation and testing of these algorithms on both real flow data and artificially created data was conducted to determine their suitability for the application and for relative comparison. Successful identification of leaks in real data was achieved for all five algorithms although the performance varied among them.

Place, publisher, year, edition, pages
2019.
Series
UPTEC ES, ISSN 1650-8300 ; 19 004
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-381976OAI: oai:DiVA.org:uu-381976DiVA, id: diva2:1305473
Educational program
Master Programme in Energy Systems Engineering
Supervisors
Examiners
Available from: 2019-04-24 Created: 2019-04-16 Last updated: 2019-04-24Bibliographically approved

Open Access in DiVA

fulltext(1431 kB)25 downloads
File information
File name FULLTEXT01.pdfFile size 1431 kBChecksum SHA-512
3844f510df9272b457f4a0f806c17f62fae1f991a5b5141a7d1a2f35c9899bf6e2b6793eafdf4717ec592e8ffb6e06e4f9afe22ce1df2fb8924dca77ffee5572
Type fulltextMimetype application/pdf

Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 25 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 88 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
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