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Mixed Real-Time Visualization Framework for FGB IoT sensors

Maria Giulia Canu

Mixed Real-Time Visualization Framework for FGB IoT sensors.

Rel. Bartolomeo Montrucchio, Andrea Sanna. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2019

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The objective of this thesis is to design one of the first mixed real-time visualization frameworks for Fibre Bragg Grating (FBG) sensors, and it is an improvement of a previously developed framework created as a general open source tool for any FBG-based IoT system. Its integration is justified by the lack of mixed real-time monitoring tools for those sensors in literature. The project was developed in collaboration with the DAUIN, DIMEAS and DISAT department of Politecnico di Torino, as part of the Inter-Departmental Center for Photonic technologies (PhotoNext). The framework is divided into two different applications developed with Unity3D engine, one for desktop system and another one for the Microsoft Hololens headset. Both allow to fully customize the position and rotation of the sensors and their size on its surface. They communicate with a middleware client that directly retrieves data from the sensors and use a shader-based heatmap to color the object surface depending on the previously received data. The case study was performed with two physical systems: a Carbon Fiber Reinforced Polymer (CFRP) sheet and the fuselage and wings of the ICARUS Unmanned Aerial Vehicle developed by DIMEAS.

Relators: Bartolomeo Montrucchio, Andrea Sanna
Academic year: 2018/19
Publication type: Electronic
Number of Pages: 88
Corso di laurea: Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering)
Classe di laurea: New organization > Master science > LM-32 - COMPUTER SYSTEMS ENGINEERING
Aziende collaboratrici: UNSPECIFIED
URI: http://webthesis.biblio.polito.it/id/eprint/11516
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