Industrial data provider for consumption of augmented reality devices

In response to the fourth industrial revolution, Bosch TT and the University of Aveiro (UA) started the Augmanity project, which aims to use innovative technologies such as Augmented Reality, IIoT, 5G, BigData and AI and Machine Learning, and apply them in the Portuguese business structure. This int...

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Bibliographic Details
Main Author: Baptista, Joel Fernando Bastos (author)
Format: masterThesis
Language:eng
Published: 2022
Subjects:
Online Access:http://hdl.handle.net/10773/34932
Country:Portugal
Oai:oai:ria.ua.pt:10773/34932
Description
Summary:In response to the fourth industrial revolution, Bosch TT and the University of Aveiro (UA) started the Augmanity project, which aims to use innovative technologies such as Augmented Reality, IIoT, 5G, BigData and AI and Machine Learning, and apply them in the Portuguese business structure. This internship was inserted in the PPS4 subproject of the Augmanity project, specifically in the supply of data to be consumed by AR devices. The AR case studies will affect several areas of the company’s value stream, from parts production machines to improving the efficiency of final lines, always with the aim of improving human performance. The complexity of this task comes from the fact that the necessary information comes from several different sources: the production line, Nexeed MES and SAP ERP, and the criterion that the information is accessed in real-time. The proposed system involves the creation of a web service that will provide all data available in a standardized way to be consumed by AR devices, like mobile phones, tablets and AR Glasses. For this, the developed system can access databases, Message Brokers and other web services and has a REST API architecture, developed in ASP.NET, to be able to transmit the data to the AR devices. In the end, industrial data provider was implemented on Bosch’s internal network, managing to supply most of the data required by AR case studies. The web service underwent load tests to measure the wait times of the AR devices, obtaining satisfactory results and fulfilling the requirements of real-time communication.