This project focuses on addressing the challenges faced by manufacturing lines such as complexity and flexibility through the integration of Augmented Reality (AR), Internet of Things (IoT), and Big Data technologies. The objective is to develop a framework that enhances the efficiency, flexibility, and sustainability of manufacturing processes in the context of Industry 4.0. The project involves the design and implementation of an artifact solution using the UNITY platform. The solution enables users to remotely control and monitor a manufacturing line in real-time through an AR interface. By taking advantage of leveraging IoT devices and sensors, real-time data is collected from the production line, providing valuable insights into performance, maintenance needs, and resource optimization. The collected data is processed and analyzed using Big Data techniques, enabling predictive maintenance, quality control, and optimization of manufacturing processes. The outcomes of this project will provide valuable insights into the potential of AR, IoT, and Big Data technologies in revolutionizing the manufacturing industry. The artifact solution serves as a proof-of-concept, demonstrating the feasibility and benefits of adopting these technologies for sustainable manufacturing in the context of Industry 4.0. Future research and development can build upon this work to further refine and scale the solution for broader industrial applications.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:his-22917 |
| Date | January 2023 |
| Creators | Beigveder Durante, Pablo |
| Publisher | Högskolan i Skövde, Institutionen för ingenjörsvetenskap |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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