Evaluation of Risk Awareness by Simulation & Extended Reality in Industrial Plants 

  • Agostino G. Bruzzone  ,
  • Marina Massei,
  • cAntonio Giovannetti, 
  • Roberto Ferrari
  • Claudia Giliberti , 
  • Gianfranco Fancello, 
  • Francesco Longo , 
  • Federico Tarone
  • a,b,c,d University of Genova, via Opera Pia 15, Genova, 16145,Italy 
  • a,b,c,d,f,g,h  Simulation Team, via Magliotto, Savona, 17100, Italy 
  • a,b SIM4Future, via Trento 34, Genova, 16145, Italy 
  • fDICAAR, Cagliari, via Marengo 2, 09121 Cagliari, Italy 
  • gMSC-LES, Ponte Pietro Bucci, 4, Quattromiglia, 87036, Italy 
  • eDIT INAIL , via Roberto Ferruzzi 38/40, 00143 Roma, Italy
Cite as
Bruzzone A.G., Massei, M., Giovannetti A., Ferrari R., Giliberti C., Fancello G., Longo F. Tarone F. (2022).,Evaluation of risk Awareness by Simulation and Extended reality in industrial plant. Proceedings of the 34th European Modeling & Simulation Symposium (EMSS 2022). , 050 . DOI: https://doi.org/10.46354/i3m.2022.emss.050
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Abstract

Accidents within high-risk environments such as industrial plants or port terminal yards are commonplace. This occurs due to various factors, such as the presence of hazardous materials, unstable chemical reagents, high temperatures, etc. which vary the extent of the danger of the possible accident. To accentuate this risk there is the inefficient use of information and the lack of learning from the lessons that are available from accident data which results in an absence or incorrect training for operators. In this study the authors aim to address the safety problem by creating an interactive synthetic environment that represents dangerous areas, such as the yard of a port terminal, in order to improve the preparation of operators. In particular, it is studied how operator training through simulation can improve not only the efficiency of work activities, but also the real and perceived risk by the user during the performance of the assigned task. 

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