Industrial plants are susceptible to NaTech disasters during earthquakes caused by damage to structural and non-structural components and the potential release of toxic materials. To mitigate and manage this risk, the ROSSINI project was initiated and its results are described here for what concerns industrial plant worker safety and their risk-based navigation in emergency situations. The project includes a data acquisition system consisting of a data acquisition board and an array of different sensor technologies, which process the seismic event and other meteorological information before passing them as inputs towards the risk identification and evaluation (RIE) modules. Here, the risks associated with structural and non-structural damage and health risks associated with the release of harmful substances are estimated and combined to form a navigable risk map. This map is used within a purpose-built risk-based navigation application for the safe egress of workers from an industrial plant. To demonstrate the implementation of this system, two case-study industrial plant layouts consisting of buildings, non-structural components, liquid storage tanks, piping systems, and chemical storage vessels, were devised. This paper describes the project's implementation in these contexts and illustrates the results via several example scenarios.

Risk-aware navigation in industrial plants at risk of NaTech accidents / G.J. O'Reilly, D. Shahnazaryan, P. Dubini, E. Brunesi, A. Rosti, F. Dacarro, A. Gotti, D. Silvestri, S. Mascetti, M. Ducci, M. Ciucci, A. Marino. - In: INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION. - ISSN 2212-4209. - 88:(2023), pp. 103620.1-103620.19. [10.1016/j.ijdrr.2023.103620]

Risk-aware navigation in industrial plants at risk of NaTech accidents

S. Mascetti;
2023

Abstract

Industrial plants are susceptible to NaTech disasters during earthquakes caused by damage to structural and non-structural components and the potential release of toxic materials. To mitigate and manage this risk, the ROSSINI project was initiated and its results are described here for what concerns industrial plant worker safety and their risk-based navigation in emergency situations. The project includes a data acquisition system consisting of a data acquisition board and an array of different sensor technologies, which process the seismic event and other meteorological information before passing them as inputs towards the risk identification and evaluation (RIE) modules. Here, the risks associated with structural and non-structural damage and health risks associated with the release of harmful substances are estimated and combined to form a navigable risk map. This map is used within a purpose-built risk-based navigation application for the safe egress of workers from an industrial plant. To demonstrate the implementation of this system, two case-study industrial plant layouts consisting of buildings, non-structural components, liquid storage tanks, piping systems, and chemical storage vessels, were devised. This paper describes the project's implementation in these contexts and illustrates the results via several example scenarios.
Environmental risk; Industrial plants; Risk-aware navigation; Sensors; Structural risk
Settore INF/01 - Informatica
Settore ICAR/08 - Scienza delle Costruzioni
Settore ICAR/09 - Tecnica delle Costruzioni
   Progettazione, realizzazione e sperimentazione di un sistema prototipale di navigazione riskaware per la gestione e mitigazione del RischiO SiSmico in industrie a rischio di Incidente rIlevante (ROSSINI)
   ROSSINI
   ISTITUTO NAZIONALE PER L'ASSICURAZIONE CONTRO GLI INFORTUNI SUL LAVORO - INAIL
   ID 39 - BRIC 2019
2023
Article (author)
File in questo prodotto:
File Dimensione Formato  
ROSSINI.v7.pdf

embargo fino al 01/04/2025

Tipologia: Post-print, accepted manuscript ecc. (versione accettata dall'editore)
Dimensione 7.54 MB
Formato Adobe PDF
7.54 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
1-s2.0-S2212420923001000-main.pdf

accesso riservato

Descrizione: Article
Tipologia: Publisher's version/PDF
Dimensione 12.5 MB
Formato Adobe PDF
12.5 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
1-s2.0-S2212420923001000-main_compressed.pdf

accesso riservato

Descrizione: Fie compresso
Tipologia: Publisher's version/PDF
Dimensione 993.71 kB
Formato Adobe PDF
993.71 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1036848
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 6
  • ???jsp.display-item.citation.isi??? 6
social impact