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Utilization of a Sensor Array for the Risk-Aware Navigation in Industrial Plants at Risk of NaTech Accidents

Authors :
Gerard J. O’Reilly
Davit Shahnazaryan
Al Mouayad Bellah Nafeh
Volkan Ozsarac
Denis Sarigiannis
Paolo Dubini
Filippo Dacarro
Alberto Gotti
Annalisa Rosti
Davide Silvestri
Emanuele Brunesi
Sergio Mascetti
Mattia Ducci
Davide Carletti
Mariano Ciucci
Alessandra Marino
Source :
Volume 5: Operations, Applications, and Components; Seismic Engineering; ASME Nondestructive Evaluation, Diagnosis and Prognosis (NDPD) Division.
Publication Year :
2022
Publisher :
American Society of Mechanical Engineers, 2022.

Abstract

This paper presents an overview of the ROSSINI project, illustrating its general objectives and how it places itself within the overall field of seismic risk-aware navigation systems. In particular, it describes the use of a sensor array for the integrated risk-aware navigation in industrial plants at risk of NaTech accidents. The integration of structural and environmental risks estimated and measured in different ways is presented as part of an integrated risk identification and evaluation (RIE) module. This module will be used along with a series of logic to combine and map the possible risks spatially within an industrial plant’s layout. It is seen how this information can then be used to not only compute the safest path to safety for a worker located within such a plant but also how mobile communications can be used to aid and guide them in different scenarios. All of this stems from the use of a sensor array network in a relatively novel way within this particular context. The paper discusses the progress to date and presents the ongoing results of a pilot case study application of the system to an industrial plant facility in Italy.

Details

Database :
OpenAIRE
Journal :
Volume 5: Operations, Applications, and Components; Seismic Engineering; ASME Nondestructive Evaluation, Diagnosis and Prognosis (NDPD) Division
Accession number :
edsair.doi...........40530bacf70f3a1f48dfa7648d44ac67
Full Text :
https://doi.org/10.1115/pvp2022-84014