Reducing Dangers within Industrial Plants by Extended Reality
- a Agostino Bruzzone ,
- b Kirill Sinelshikov,
- c Marina Massei,
- d Antonio Giovannetti,
- e Federico Tarone,
- f Francesco Longo,
- g Gianfranco Fancello,
- h Claudia Giliberti,
- i Raffaele Mariconte,
- I Maurizio Diano,
- m Marco Gotelli,
- n Giuliano Fabbrini
- a,c Simulation Team, University of Genova, via Opera Pia 15, 16145, Genova, Italy
- b,d,e,m,n Simulation Team, via Magliotto, 17100, Savona, Italy
- f Simulation Team, MSC-LES, University of Calabria, Via Ponte Pietro Bucci, Cube 45C, 3rd Floor, Rende, Italy
- g Simulation Team, DICAA, Università di Cagliari, via Marengo 2, 09121 Cagliari, Italy
- h,i Italian Workers’ Compensation Authority (INAIL), Department of Technological Innovations and Safety of Plants, Products and Anthropic Settlements, Rome, Italy
- I Italian Workers’ Compensation Authority (INAIL), Direzione Regionale Calabria – Unità Operativa Territoriale, Catanzaro, Italy
Cite as
Bruzzone A., Sinelshikov K., Massei M., Giovannetti A., Tarone F., Longo F., Fancello G., Giliberti C., Mariconte R., Diano M., Gotelli M., Fabbrini G. (2021). Reducing Dangers within Industrial Plants by Extended Reality . Proceedings of the 33rd European Modeling & Simulation Symposium (EMSS 2021), pp. 413-417. DOI: https://doi.org/10.46354/i3m.2021.emss.056
Abstract
Every now and then, it is possible to hear about world-famous accidents occurred in industrial plants. Indeed, many of these facilities are characterized by multiple risk factors, such as areas with excessive temperature or noise level, presence of dust, chemical agents or other hazardous materials. On the other hand, there are numerous and less known minor accidents and near-misses involving operators that in other circumstances could lead to more or less serious injuries. In this study authors propose addressing of the problem of safety by creation of an interactive environment representing dangerous areas, such as confined spaces, in order to improve preparation of operators. In particular, it is studied use of AI (Artificial Intelligence) in joint connection with immersive, interoperable, cyber-physical system including a wearable solution in order to increase the perception and the ability to contribute to the management and control of the process.
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Volume Details
Volume Title
Proceedings of the 33rd European Modeling & Simulation Symposium (EMSS 2021)
Conference Location and Date
Online
September 15-17, 2021
Conference ISSN
2724-0029
Volume ISBN
978-88-85741-57-7
Volume Editors
Michael Affenzeller
Upper Austria University of Applied Sciences, Austria
Agostino G. Bruzzone
MITIM-DIME, University of Genoa, Italy
Emilio Jimenez
University of La Rioja, Spain
Francesco Longo
University of Calabria, Italy
Antonella Petrillo
Parthenope University of Naples, Italy
EMSS 2021 Board
Francesco Longo
EMSS General Co-Chair
University of Calabria, Italy
Emilio Jimenez
EMSS General Co-Chair
University of La Rioja, Spain
Michael Affenzeller
EMSS Program Co-Chair
Upper Austria University of Applied Sciences, Austria
Antonella Petrillo
EMSS Program Co-Chair
Parthenope University of Naples, Italy
Copyright
© 2021 The Authors. The articles are open access and distributed under the terms and conditions of the Creative Commons Attribution (CC BY-NC-ND) license.