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Augmented Reality Framework for Supporting and Monitoring Operators during Maintenance Operations in Industrial Environments
Högskolan i Skövde, Institutionen för ingenjörsvetenskap.
Högskolan i Skövde, Institutionen för ingenjörsvetenskap.
2018 (engelsk)Independent thesis Basic level (degree of Bachelor), 20 poäng / 30 hpOppgave
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.

sted, utgiver, år, opplag, sider
2018. , s. 136
Emneord [en]
augmented reality, maintenance, travelling salesman problem, expert systems, monitoring, database, QR code
HSV kategori
Identifikatorer
URN: urn:nbn:se:his:diva-15717OAI: oai:DiVA.org:his-15717DiVA, id: diva2:1221225
Fag / kurs
Automation Engineering
Utdanningsprogram
Manufacturing Engineer
Presentation
2018-05-22, G207, Skövde, 13:40 (engelsk)
Veileder
Examiner
Tilgjengelig fra: 2018-06-20 Laget: 2018-06-19 Sist oppdatert: 2018-06-20bibliografisk kontrollert

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