Abstract
The paper defines the structure and utilisation mode of an embedded aggregate digital twin for the hybrid supervised control of semi-continuous production process. Multiple twin aggregations are defined for the production of radiopharmaceuticals: (i) virtual twins of three main sub processes in the production plant; (ii) predictive and decision making twins and their projections in the supervisor for process resilience and global optimization. The control system is organized according to the holonic reference architecture ARTI that enables the concepts of embedded and networked digital twins that provide collective and predictive situation awareness thus bringing closer the software control to the real process evolution. The research reported in this paper demonstrates that the holonic paradigm, first applied to discrete manufacturing process control, can be adapted to the hybrid supervised planning and control of semi-continuous production processes and brings the benefits that holonic organisations provide to living organisms: direct connectivity between physical plant entities (resources, activities and outcomes) and their virtual twins, global optimization, robustness, process resilience and plant sustainability.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Borangiu, T., Trentesaux, D., Thomas, A., Barata, J., Leitao, P.: Digital transformation of manufacturing through cloud services and resource virtualization. Comput. Ind. 108(2019), 150–162 (2019). https://doi.org/10.1016/j.compind.2019.01.006
Valckenaers, P., Van Brussel, H.: Design for the Unexpected: From Holonic Manufacturing Systems Towards a Human Mechatronics Society. Butterworth-Heinemann, Oxford (2015). ISBN 978-0-12-803662-4
Trentesaux, D., Borangiu, T., Thomas, A.: Emerging ICT concepts for smart, safe and sustainable industrial systems. Comput. Ind. 81(2016), 1–10 (2016). https://doi.org/10.1016/j.compind.2016.05.001
Valckenaers, P.: ARTI reference architecture – PROSA revisited. In: Borangiu, T., Trentesaux, D., Thomas, A., Cavalieri, S. (eds.) Service Orientation in Holonic and Multi-Agent Manufacturing, Proceedings of SOHOMA 2018. Studies in Computational Intelligence, Chap. 1, vol. 803, pp. 1–19. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-03003-2_1
Cardin, O.: Classification of cyber-physical production systems applications: proposition of an analysis framework. Comput. Ind. 104, 11–21 (2019). https://doi.org/10.1016/j.compind.2018.10.002
Peres, R.S., Rocha, A.D., Leitao, P., Barata, J.: IDARTS – towards intelligent data analysis and real-time supervision for Industry 4.0. Comput. Ind. 101, 138–146 (2018). https://doi.org/10.1016/j.compind.2018.07.004
Governor, J.: IBM Watson IoT and the digital twin. Industry 4.0, 24 February 2017. RedMonk, http://redmonk.com/jgovernor/2017/02/24/ibm-watson-iot-and-the-digital-twin-industry-4-0/
Grieves, M., Vickers, J.: Digital twin: mitigating unpredictable, undesirable emergent behavior in complex systems (excerpt) (2001). http://research.fit.edu/camid/documents/doc_mgr/1221/Origin%20and%20Types%20of%20the%20Digital%20Twin.pdf
ECMA International: The JSON Data Interchange Syntax, Standard ECMA-404, 2nd edn (2017)
Oracle: Digital twins for IoT applications: a comprehensive approach to implementing IoT digital twins (2017). http://www.oracle.com/us/solutions/internetofthings/digital-twins-for-iot-apps-wp-3491953.pdf, Oracle White Paper, January 2017
Oracle: Oracle R Advanced Analytics for Hadoop (ORAAH release 2.8.0) (2019). http://www.oracle.com/technetwork/database/database-technologies/bdc/r-advanalytics-for-hadoop/overview/index.html
Morariu, C., Răileanu, S., Borangiu, T., Anton, F.: A distributed approach for machine learning in large scale manufacturing systems. In: Borangiu, T., Trentesaux, D., Thomas, A., Cavalieri, S. (eds.) Service Orientation in Holonic and Multi-Agent Manufacturing, Proceedings of SOHOMA 2018. Studies in Computational Intelligence, Chap. 3, vol. 803, pp. 41–52. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-03003-2_3
Indriago, C., Cardin, O., Rakoto, N., Castagna, P., Chacon, E.: H2CM: a holonic architecture for flexible hybrid control. Comput. Ind. 77, 15–28 (2016). https://doi.org/10.1016/j.compind.2015.12.005
Antsaklis, P.J.: Hybrid control systems: an introductory discussion to the special issue. IEEE Trans. Autom. Control 43(4), 457–460 (1998)
Valckenaers, P., Van Brussel, H., Bruyninckx, H., Saint Germain, B., Van Belle, J., Philips, J.: Predicting the unexpected. Comput. Ind. 62(6), 623–637 (2011). https://doi.org/10.1016/j.compind.2011.04.011
Iverson, Ch., et al. (eds.): Radiopharmaceuticals, AMA Manual of Style, 10th edn. Oxford University Press, Oxford (2007). ISBN 978-0-19-517633-9
Gloria, A., Cercasa, F., Souto, N.: Design and implementation of an IoT gateway to create smart environments. In: Proceedings of the 8th International Conference on Ambient Systems, Networks and Technologies (ANT 2017) (2017). https://doi.org/10.1016/j.procs.2017.05.343
Williams, J.D., Zweig, G.: End-to-end LSTM-based dialog control optimized with supervised and reinforcement learning. arXiv preprint arXiv:1606.01269, https://arxiv.org/pdf/1606.01269v1.pdf (2016)
Valckenaers, P., Cardin, O.: PROSA revisited – the ARTI reference architecture for embedded digital twins. J. Intell. Manuf. Syst. (2019). Manuscript no. JIMS-S-19-00160
Van Brussel, H., Wyns, J., Valckenaers, P., Bongaerts, L., Peeters, P.: Reference architecture for holonic manufacturing systems: PROSA. Comput. Ind. 37(3), 255–276 (1998)
IBM: IBM ILOG CPLEX Optimization Studio v12.9 (CJ4Z5ML) (2018). https://www-01.ibm.com/software/info/ilog/
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Borangiu, T., Oltean, E., Răileanu, S., Anton, F., Anton, S., Iacob, I. (2020). Embedded Digital Twin for ARTI-Type Control of Semi-continuous Production Processes. In: Borangiu, T., Trentesaux, D., Leitão, P., Giret Boggino, A., Botti, V. (eds) Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future. SOHOMA 2019. Studies in Computational Intelligence, vol 853. Springer, Cham. https://doi.org/10.1007/978-3-030-27477-1_9
Download citation
DOI: https://doi.org/10.1007/978-3-030-27477-1_9
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-27476-4
Online ISBN: 978-3-030-27477-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)