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Article

Digital Twin Reference Model Development to Prevent Operators’ Risk in Process Plants

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Department of Industrial Engineering and Mathematical Science, Polytechnic University of Marche, 60131 Ancona, Italy
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Department of Engineering and Architecture, University of Parma, 43124 Parma, Italy
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Department of Mechanical and Aerospace Engineering, SAPIENZA, 00185 Rome, Italy
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Department of Information Engineering, Polytechnic University of Marche, 60131 Ancona, Italy
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Dipartimento Innovazioni Tecnologiche e Sicurezza degli Impianti, Prodotti ed Insediamenti Antropici, INAIL, 00143 Roma, Italy
*
Author to whom correspondence should be addressed.
Sustainability 2020, 12(3), 1088; https://doi.org/10.3390/su12031088
Received: 27 November 2019 / Revised: 22 January 2020 / Accepted: 31 January 2020 / Published: 4 February 2020
(This article belongs to the Collection Smart Production Operations Management and Industry 4.0)
In the literature, many applications of Digital Twin methodologies in the manufacturing, construction and oil and gas sectors have been proposed, but there is still no reference model specifically developed for risk control and prevention. In this context, this work develops a Digital Twin reference model in order to define conceptual guidelines to support the implementation of Digital Twin for risk prediction and prevention. The reference model proposed in this paper is made up of four main layers (Process industry physical space, Communication system, Digital Twin and User space), while the implementation steps of the reference model have been divided into five phases (Development of the risk assessment plan, Development of the communication and control system, Development of Digital Twin tools, Tools integration in a Digital Twin perspective and models and Platform validation). During the design and implementation phases of a Digital Twin, different criticalities must be taken into consideration concerning the need for deterministic transactions, a large number of pervasive devices, and standardization issues. Practical implications of the proposed reference model regard the possibility to detect, identify and develop corrective actions that can affect the safety of operators, the reduction of maintenance and operating costs, and more general improvements of the company business by intervening both in strictly technological and organizational terms. View Full-Text
Keywords: digital twin; cyber-physical system; risk assessment; operators’ safety digital twin; cyber-physical system; risk assessment; operators’ safety
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MDPI and ACS Style

Bevilacqua, M.; Bottani, E.; Ciarapica, F.E.; Costantino, F.; Di Donato, L.; Ferraro, A.; Mazzuto, G.; Monteriù, A.; Nardini, G.; Ortenzi, M.; Paroncini, M.; Pirozzi, M.; Prist, M.; Quatrini, E.; Tronci, M.; Vignali, G. Digital Twin Reference Model Development to Prevent Operators’ Risk in Process Plants. Sustainability 2020, 12, 1088. https://doi.org/10.3390/su12031088

AMA Style

Bevilacqua M, Bottani E, Ciarapica FE, Costantino F, Di Donato L, Ferraro A, Mazzuto G, Monteriù A, Nardini G, Ortenzi M, Paroncini M, Pirozzi M, Prist M, Quatrini E, Tronci M, Vignali G. Digital Twin Reference Model Development to Prevent Operators’ Risk in Process Plants. Sustainability. 2020; 12(3):1088. https://doi.org/10.3390/su12031088

Chicago/Turabian Style

Bevilacqua, Maurizio, Eleonora Bottani, Filippo Emanuele Ciarapica, Francesco Costantino, Luciano Di Donato, Alessandra Ferraro, Giovanni Mazzuto, Andrea Monteriù, Giorgia Nardini, Marco Ortenzi, Massimo Paroncini, Marco Pirozzi, Mario Prist, Elena Quatrini, Massimo Tronci, and Giuseppe Vignali. 2020. "Digital Twin Reference Model Development to Prevent Operators’ Risk in Process Plants" Sustainability 12, no. 3: 1088. https://doi.org/10.3390/su12031088

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