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SensIT – Sensor driven cloud-based strategy for infrastructure management
Chalmers University of Technology.
Responsible organisation
2018 (English)Report (Other academic)
Abstract [en]

The purpose of this pre-study was to review existing knowledge and define a research roadmap. The pre-study investigates the feasibility of combining Sensors, Machine Learning, Cloud Services and Building Information Modelling to create an integrated system that enables an upgrade of the current infrastructure network through a new generation of smart structures. The study focuses on the aspects that are required in order to ensure that such a system could be successfully implemented in practice. Via workshops and established collaboration, national and international, the project team has generated knowledge and gathered experts from several disciplines, such as data scientists, sensors experts and civil engineers. The main result of the work is a research roadmap that works as a guideline for Trafikverket in their task to develop and create a new infrastructure management strategy based on emerging technologies and innovative processes.

Place, publisher, year, edition, pages
Chalmers , 2018. , p. 49
Series
Trafikverkets forskningsportföljer
Keywords [sv]
väg, järnväg, sensor networks, data collection, Building Information Modelling (BIM), Augmented Reality, maintenance, inspection
National Category
Infrastructure Engineering
Research subject
FOI-portföljer, Bygga
Identifiers
URN: urn:nbn:se:trafikverket:diva-11966Archive number: TRV 2017/22654OAI: oai:DiVA.org:trafikverket-11966DiVA, id: diva2:1747336
Projects
Internet Of Things sammanlänkar sensorteknik och byggnadsverk via bygginformationsmodeller - Proof of concept
Funder
Swedish Transport Administration, TRV 2017/22654Available from: 2023-03-30 Created: 2023-03-30Bibliographically approved

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Infrastructure Engineering

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CiteExportLink to record
Permanent link

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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
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