Javascript must be enabled for the correct page display

Augmented Reality for Efficient Management of Gas Infrastructure

Musters, B. T. (2017) Augmented Reality for Efficient Management of Gas Infrastructure. Master's Thesis / Essay, Computing Science.

[img]
Preview
Text
thesis_btmusters.pdf - Published Version

Download (12MB) | Preview
[img] Text
Toestemming.pdf - Other
Restricted to Backend only

Download (80kB)

Abstract

Recent developments in Augmented Reality (AR) and Virtual Reality (VR) technology result in the fact that these techniques are on the verge of wide range adoption in industrial companies. AR and VR allow companies to improve their workflows by applying these techniques to support complex tasks. In the context of gas infrastructure management, huge amounts of data are stored and many complex operations are needed to ensure continuous gas transport. This thesis focuses on the suitability of AR and VR in the context of gas management related tasks. The research question formulated is: How can we use AR/VR technology provided by the HoloLens to efficiently and effectively support the types of tasks mentioned in the context of gas infrastructure management? First, an extensive requirements elicitation process is performed in order to find processes that could benefit from the application of one of the aforementioned techniques. Afterwards, an AR application that visually supports mechanics in gas combustion boiler reparation is developed using the HoloLens platform. The results of the application are promising, although we noticed during development that creating an efficient HoloLens application is far from trivial. Therefore, a usability study was performed during the development phase. In this study, several User Interfaces and interaction techniques were designed and compared with each other. The goal of this user study was to find best practices in HoloLens application design.

Item Type: Thesis (Master's Thesis / Essay)
Degree programme: Computing Science
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 15 Feb 2018 08:27
Last Modified: 15 Feb 2018 08:27
URI: https://fse.studenttheses.ub.rug.nl/id/eprint/15102

Actions (login required)

View Item View Item