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

Author

Listed:
  • Maurizio Bevilacqua

    (Department of Industrial Engineering and Mathematical Science, Polytechnic University of Marche, 60131 Ancona, Italy)

  • Eleonora Bottani

    (Department of Engineering and Architecture, University of Parma, 43124 Parma, Italy)

  • Filippo Emanuele Ciarapica

    (Department of Industrial Engineering and Mathematical Science, Polytechnic University of Marche, 60131 Ancona, Italy)

  • Francesco Costantino

    (Department of Mechanical and Aerospace Engineering, SAPIENZA, 00185 Rome, Italy)

  • Luciano Di Donato

    (Dipartimento Innovazioni Tecnologiche e Sicurezza degli Impianti, Prodotti ed Insediamenti Antropici, INAIL, 00143 Roma, Italy)

  • Alessandra Ferraro

    (Dipartimento Innovazioni Tecnologiche e Sicurezza degli Impianti, Prodotti ed Insediamenti Antropici, INAIL, 00143 Roma, Italy)

  • Giovanni Mazzuto

    (Department of Industrial Engineering and Mathematical Science, Polytechnic University of Marche, 60131 Ancona, Italy)

  • Andrea Monteriù

    (Department of Information Engineering, Polytechnic University of Marche, 60131 Ancona, Italy)

  • Giorgia Nardini

    (Department of Industrial Engineering and Mathematical Science, Polytechnic University of Marche, 60131 Ancona, Italy)

  • Marco Ortenzi

    (Department of Industrial Engineering and Mathematical Science, Polytechnic University of Marche, 60131 Ancona, Italy)

  • Massimo Paroncini

    (Department of Industrial Engineering and Mathematical Science, Polytechnic University of Marche, 60131 Ancona, Italy)

  • Marco Pirozzi

    (Dipartimento Innovazioni Tecnologiche e Sicurezza degli Impianti, Prodotti ed Insediamenti Antropici, INAIL, 00143 Roma, Italy)

  • Mario Prist

    (Department of Information Engineering, Polytechnic University of Marche, 60131 Ancona, Italy)

  • Elena Quatrini

    (Department of Mechanical and Aerospace Engineering, SAPIENZA, 00185 Rome, Italy)

  • Massimo Tronci

    (Department of Mechanical and Aerospace Engineering, SAPIENZA, 00185 Rome, Italy)

  • Giuseppe Vignali

    (Department of Engineering and Architecture, University of Parma, 43124 Parma, Italy)

Abstract

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.

Suggested Citation

  • Maurizio Bevilacqua & Eleonora Bottani & Filippo Emanuele Ciarapica & Francesco Costantino & Luciano Di Donato & Alessandra Ferraro & Giovanni Mazzuto & Andrea Monteriù & Giorgia Nardini & Marco Orten, 2020. "Digital Twin Reference Model Development to Prevent Operators’ Risk in Process Plants," Sustainability, MDPI, vol. 12(3), pages 1-17, February.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:3:p:1088-:d:316051
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    References listed on IDEAS

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    1. Bevilacqua, Maurizio & Ciarapica, Filippo Emanuele, 2018. "Human factor risk management in the process industry: A case study," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 149-159.
    2. Jinjiang Wang & Lunkuan Ye & Robert X. Gao & Chen Li & Laibin Zhang, 2019. "Digital Twin for rotating machinery fault diagnosis in smart manufacturing," International Journal of Production Research, Taylor & Francis Journals, vol. 57(12), pages 3920-3934, June.
    3. Fei Tao & Fangyuan Sui & Ang Liu & Qinglin Qi & Meng Zhang & Boyang Song & Zirong Guo & Stephen C.-Y. Lu & A. Y. C. Nee, 2019. "Digital twin-driven product design framework," International Journal of Production Research, Taylor & Francis Journals, vol. 57(12), pages 3935-3953, June.
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    Cited by:

    1. Georgios Falekas & Athanasios Karlis, 2021. "Digital Twin in Electrical Machine Control and Predictive Maintenance: State-of-the-Art and Future Prospects," Energies, MDPI, vol. 14(18), pages 1-26, September.
    2. Kamble, Sachin S & Gunasekaran, Angappa & Parekh, Harsh & Mani, Venkatesh & Belhadi, Amine & Sharma, Rohit, 2022. "Digital twin for sustainable manufacturing supply chains: Current trends, future perspectives, and an implementation framework," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    3. Ali Sunyaev & Niclas Kannengießer & Roman Beck & Horst Treiblmaier & Mary Lacity & Johann Kranz & Gilbert Fridgen & Ulli Spankowski & André Luckow, 2021. "Token Economy," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(4), pages 457-478, August.
    4. Fabio Di Carlo & Giovanni Mazzuto & Maurizio Bevilacqua & Filippo Emanuele Ciarapica, 2021. "Retrofitting a Process Plant in an Industry 4.0 Perspective for Improving Safety and Maintenance Performance," Sustainability, MDPI, vol. 13(2), pages 1-18, January.
    5. Rong Xie & Muyan Chen & Weihuang Liu & Hongfei Jian & Yanjun Shi, 2021. "Digital Twin Technologies for Turbomachinery in a Life Cycle Perspective: A Review," Sustainability, MDPI, vol. 13(5), pages 1-22, February.
    6. Mezzour Ghita & Benhadou Siham & Medromi Hicham & Mounaam Amine, 2022. "HT-TPP: A Hybrid Twin Architecture for Thermal Power Plant Collaborative Condition Monitoring," Energies, MDPI, vol. 15(15), pages 1-38, July.
    7. Piotr F. Borowski, 2021. "Digitization, Digital Twins, Blockchain, and Industry 4.0 as Elements of Management Process in Enterprises in the Energy Sector," Energies, MDPI, vol. 14(7), pages 1-20, March.
    8. SungKu Kang & Ran Jin & Xinwei Deng & Ron S. Kenett, 2023. "Challenges of modeling and analysis in cybermanufacturing: a review from a machine learning and computation perspective," Journal of Intelligent Manufacturing, Springer, vol. 34(2), pages 415-428, February.
    9. Mario Di Nardo & Mariano Clericuzio & Teresa Murino & Chiara Sepe, 2020. "An Economic Order Quantity Stochastic Dynamic Optimization Model in a Logistic 4.0 Environment," Sustainability, MDPI, vol. 12(10), pages 1-25, May.
    10. Giovanni Mazzuto & Sara Antomarioni & Giulio Marcucci & Filippo Emanuele Ciarapica & Maurizio Bevilacqua, 2022. "Learning-by-Doing Safety and Maintenance Practices: A Pilot Course," Sustainability, MDPI, vol. 14(15), pages 1-22, August.
    11. Shahrina Md Nordin & Ammar Redza Ahmad Rizal & Rafidah Abd Rashid & Rohayu Che Omar & Unggul Priyadi, 2021. "Incidents and Disaster Avoidance: The Role of Communication Management and the Organizational Communication Climate in High-Risk Environments," Sustainability, MDPI, vol. 13(18), pages 1-16, September.
    12. Ágota Bányai, 2021. "Energy Consumption-Based Maintenance Policy Optimization," Energies, MDPI, vol. 14(18), pages 1-33, September.
    13. Hana Pačaiová & Peter Korba & Michal Hovanec & Jozef Galanda & Patrik Šváb & Ján Lukáč, 2021. "Use of Simulation Tools for Optimization of the Time Duration of Winter Maintenance Activities at Airports," Sustainability, MDPI, vol. 13(3), pages 1-14, January.
    14. Małgorzata Jasiulewicz-Kaczmarek & Patryk Żywica & Arkadiusz Gola, 2021. "Fuzzy set theory driven maintenance sustainability performance assessment model: a multiple criteria approach," Journal of Intelligent Manufacturing, Springer, vol. 32(5), pages 1497-1515, June.
    15. Francesco Costantino & Andrea Falegnami & Lorenzo Fedele & Margherita Bernabei & Sara Stabile & Rosina Bentivenga, 2021. "New and Emerging Hazards for Health and Safety within Digitalized Manufacturing Systems," Sustainability, MDPI, vol. 13(19), pages 1-35, October.

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