Lorenzo Pusateri
Digital Twin of an industrial bottling line.
Rel. Daniela Renga, Luca Vassio. Politecnico di Torino, Corso di laurea magistrale in Ict For Smart Societies (Ict Per La Società Del Futuro), 2023
Abstract
This thesis work aims to build a virtual solution of a Digital Twin of a production line for a customer whose core business is the bottling of liquid solutions. All the equipment involved in the production line sends its system monitoring data to a central system that collects it. In the initial phase of the thesis, a data analysis and data mining study are presented that aim to characterise the company's data. Furthermore, this data exploration phase is preparatory to modelling the Digital Twin's virtual solution. Indeed, the theory behind the Digital Twin was studied during the data analysis, defining the possible applications in the analysed context.
Furthermore, the thesis presents a bottling line simulator developed by applying the queuing theory to model the system
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