Augmented Reality Framework for Supporting and Monitoring Operators during Maintenance Operations in Industrial Environments
2018 (English)Independent thesis Basic level (degree of Bachelor), 20 credits / 30 HE credits
Student thesis
Abstract [en]
In an ever-changing and demanding world where short assembly and innovation times are indispensable, it is of paramount importance to ensure that the machinery used throughout the whole process of a product are in their best possible condition. This guarantees that the performance of each machine will be optimal, and hence, the process times will be the shortest possible, while the best quality products are obtained. Moreover, having a machine in an impeccable status permits making the necessary changes to it, in order to fulfil the requirements that a more advanced or complex product may have. Maintenance operations and their corresponding trainings have historically been time-consuming, and a vast amount of information has been transmitted from an expert to a newer operator. This means that there has been the need of working with experienced operators to secure that a good service is provided. However, different technologies like augmented reality (AR) have been shown to have a positive impact in the support and monitoring of operators in industrial maintenance operations.The present project gathers information in regard to the framework of AR, with the aim of supporting and monitoring operators in industrial environments. The proposed method consists on the development of an artefact, which would lead to a possible improvement of the already existing solutions. It is believed that the development of an AR application could grant the necessary aid to any operator in maintenance operations. The result of this suggestion is an AR application which superimposes visual information on the physical equipment.
Place, publisher, year, edition, pages
2018. , p. 136
Keywords [en]
augmented reality, maintenance, travelling salesman problem, expert systems, monitoring, database, QR code
National Category
Other Engineering and Technologies not elsewhere specified
Identifiers
URN: urn:nbn:se:his:diva-15717OAI: oai:DiVA.org:his-15717DiVA, id: diva2:1221225
Subject / course
Automation Engineering
Educational program
Manufacturing Engineer
Presentation
2018-05-22, G207, Skövde, 13:40 (English)
Supervisors
Examiners
2018-06-202018-06-192018-06-20Bibliographically approved