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Smart city platforms: designing a module to visualize information for real estate companies
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
2018 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

This thesis is a study with focus on real estate companies for one of several sub-projects under “Stadens kontrollrum” initiative in Västerås. “Stadens kontrollrum” is a concept that brought together expertise from various fields of industry, research and government to create a platform that will aggregate data from different stakeholders and proposed services to achieve the goal of making Västerås a smart and sustainable city. Our project aims to extend “Stadens kontrollrum” platform in order to make it beneficial for real estate companies.

In this case study, we applied expert driven methodology, i.e. with domain experts. A detailed literature review has been performed. We identified user requirements based on the information gathered during workshops with nine participants from real estate and utility companies; interviews with three experts from Mälarenergi. During the study, we identified that data visualisation, predictive maintenance and big data analysis for decision making are the main tools, among others, that should be applied to facilitate user needs. Based on user requirements, we have suggested an architecture of a module for the “Stadens kontrollrum” platform that includes those features.

To verify feasibility of the solution, a prototype was built and evaluated with a group of four experts from Mälarenergi. The prototype is going to serve as a live demo in workshops and further discussions with the potential users later in the project. A full prototype of the solution is planned to be implemented in the next stage of the project.

Place, publisher, year, edition, pages
2018.
Keywords [en]
Smart city, urban platform, visualisation, dashboard, predictive maintenance
National Category
Media and Communication Technology
Identifiers
URN: urn:nbn:se:lnu:diva-77846OAI: oai:DiVA.org:lnu-77846DiVA, id: diva2:1249289
External cooperation
Mälarenergi; ABB
Educational program
Social Media and Web Technologies, Master Programme, 120 credits
Presentation
2018-08-30, D2272, Växjö, 09:00 (English)
Supervisors
Examiners
Available from: 2018-09-26 Created: 2018-09-18 Last updated: 2018-09-26Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
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More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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  • asciidoc
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