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Augmented reality f...
Augmented reality for machine monitoring in industrial manufacturing : framework and application development
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- Schmitt, Thomas (författare)
- Scania CV AB, Smart Factory Lab, Södertälje, Sweden ; Uppsala University, Department of Civil and Industrial Engineering, Uppsala, Sweden
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- Viklund, Philip (författare)
- Scania CV AB, Smart Factory Lab, Södertälje, Sweden ; Uppsala University, Department of Civil and Industrial Engineering, Uppsala, Sweden
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- Sjölander, Martina (författare)
- Scania CV AB, Smart Factory Lab, Södertälje, Sweden ; Uppsala University, Department of Civil and Industrial Engineering, Uppsala, Sweden
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- Hanson, Lars (författare)
- Högskolan i Skövde,Institutionen för ingenjörsvetenskap,Forskningsmiljön Virtuell produkt- och produktionsutveckling,User Centred Product Design
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- Amouzgar, Kaveh, 1980- (författare)
- Uppsala University, Department of Civil and Industrial Engineering, Uppsala, Sweden
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- Urenda Moris, Matías (författare)
- Uppsala University, Department of Civil and Industrial Engineering, Uppsala, Sweden
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(creator_code:org_t)
- Elsevier, 2023
- 2023
- Engelska.
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Ingår i: Procedia CIRP. - : Elsevier. - 2212-8271 .- 2212-8271. ; , s. 1327-1332
- Relaterad länk:
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https://doi.org/10.1...
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https://his.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Enhancing data visualization on the shop floor provides support for dealing with the increasing complexity of production and the need for progressing towards emerging goals like energy efficiency. It enables personnel to make informed decisions based on real-time data displayed on user-friendly interfaces. Augmented reality (AR) technology provides a promising solution to this problem by allowing for the visualization of data in a more immersive and interactive way. The aim of this study is to present a framework to visualize live and historic data about energy consumption in AR, using Power BI and Unity, and discuss the applications' capabilities. The study demonstrated that both Power BI and Unity can effectively visualize near-real-time machine data with the aid of appropriate data pipelines. While both applications have their respective strengths and limitations, they can support informed decision-making and proactive measures to improve energy utilization. Additional research is needed to examine the correlation between energy consumption and production dynamics, as well as to assess the user-friendliness of the data presentation for effective decision-making support.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Datorsystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Computer Systems (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Annan teknik -- Övrig annan teknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Other Engineering and Technologies -- Other Engineering and Technologies not elsewhere specified (hsv//eng)
Nyckelord
- augmented reality
- data pipelines
- energy efficiency
- user interface
- Visualization
- User Centred Product Design
- Användarcentrerad produktdesign
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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