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Indoor localization in smart factory : utilization of UWB technology in real-case scenario

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dc.date.accessioned 2021-07-26T06:30:50Z
dc.date.available 2021-07-26T06:30:50Z
dc.date.issued 2021-07-26
dc.identifier.uri http://hdl.handle.net/123456789/37530
dc.title Indoor localization in smart factory : utilization of UWB technology in real-case scenario en
ethesis.faculty Matemaattis-luonnontieteellinen tiedekunta fi
ethesis.faculty Faculty of Science en
ethesis.faculty Matematisk-naturvetenskapliga fakulteten sv
ethesis.faculty.URI http://data.hulib.helsinki.fi/id/8d59209f-6614-4edd-9744-1ebdaf1d13ca
ethesis.university.URI http://data.hulib.helsinki.fi/id/50ae46d8-7ba9-4821-877c-c994c78b0d97
ethesis.university Helsingin yliopisto fi
ethesis.university University of Helsinki en
ethesis.university Helsingfors universitet sv
dct.creator Lumme, Iina
dct.issued 2021
dct.language.ISO639-2 eng
dct.abstract Indoor localization in Smart factories encounters difficult conditions due to metallic environ- ments. Nevertheless, it is one of the enablers for the ongoing industrial revolution, Industry 4.0. This study investigates the usability of indoor localization in a real factory site by tracking hoist assembly process. To test the hypothesis that indoor localization works in a factory environment, an Ultra- Wideband Indoor Positioning System was installed to cover the hoist assembly space. The system followed hoist assembly trolleys for three weeks after which data was analysed by cal- culating assembly times. The results show that indoor localization with Ultra-Wideband technology is a working solution for industrial environments similar to the tested environment. The time calculations are more accurate than known standard times and reveal that hoist assemblies are not standard and there is wasted time. The results suggest that indoor localization is adaptable to industrial environments and to manufacturing processes. Analysing the processes through the position data provides new knowledge that is used for improving the productivity. en
dct.subject indoor localization
dct.subject indoor positioning system
dct.subject smart factory
dct.subject industry 4.0
dct.subject cyber-physical systems
dct.subject indoor localization
dct.subject indoor positioning system
dct.subject smart factory
dct.subject industry 4.0
dct.subject cyber-physical systems
dct.language en
ethesis.isPublicationLicenseAccepted false
ethesis.language.URI http://data.hulib.helsinki.fi/id/languages/eng und
ethesis.language englanti fi
ethesis.language English en
ethesis.language engelska sv
ethesis.thesistype pro gradu -tutkielmat fi
ethesis.thesistype master's thesis en
ethesis.thesistype pro gradu-avhandlingar sv
ethesis.thesistype.URI http://data.hulib.helsinki.fi/id/thesistypes/mastersthesis
dct.identifier.ethesis E-thesisID:f1df5314-0ddb-456e-98f4-c66cd28a620b
dct.identifier.urn URN:NBN:fi:hulib-202107263439
dc.type.dcmitype Text
ethesis.facultystudyline Hajautetut järjestelmät ja tietoliikenne fi
ethesis.facultystudyline Networking and Services en
ethesis.facultystudyline Distribuerade system och datakommunikation sv
ethesis.facultystudyline.URI http://data.hulib.helsinki.fi/id/SH50_084 und
ethesis.mastersdegreeprogram Tietojenkäsittelytieteen maisteriohjelma fi
ethesis.mastersdegreeprogram Master's Programme in Computer Science en
ethesis.mastersdegreeprogram Magisterprogrammet i datavetenskap sv
ethesis.mastersdegreeprogram.URI http://data.hulib.helsinki.fi/id/MH50_009 und

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