Abstract
The paper presents design and implementing considerations for an agent-based environment monitoring and control system dedicated to a radiopharmaceuticals production line. This system is distributed on two layers: a centralized one, responsible for updating the status of the facility’s parameters and the global control strategy for cascade room parameters, and a distributed one that applies the global strategy to local environment control units—Heat Ventilation and Air Conditioning units (HVAC). The paper describes the environment parameters and defines the HVAC process models. The facility environment control system is developed in holonic approach, with three basic holons and one expertize holon. An implementing solution and integration of the environment control system with the radiopharmaceutical production management system is described. Experimental results and conclusions are finally presented.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Iverson, Ch., et al. (eds.): 15.9.2 Radiopharmaceuticals, AMA Manual of Style 10th edn. Oxford University Press, Oxfordshire (2007). ISBN 978-0-19-517633-9
Schwochau, K.: Technetium. Wiley-VCH (2000). ISBN 3-527-29496-1
Ell, P., Gambhir, S.: Nuclear Medicine in Clinical Diagnosis and Treatment, Churchill Livingstone (2004). ISBN 978-0-443-07312-0
Raileanu, S., Borangiu, Th., Silisteanu, A.: Centralized MES with environment adaptation for production of radiopharmaceuticals. In: Borangiu, Th., Trentesaux, D., Thomas, A., McFarlane, D. (eds.) Service Orientation in Holonic and Multiagent Manufacturing, Chapter 1. Springer series Studies in Computational Intelligence, vol. 640, pp. 3–20. Springer (2016). doi:10.1007/978-3-319-30337-6_1. ISBN 978-3-319-30337-6
http://www.ansto.gov.au/_data/assets/pdf_file/0019/32941/Nuclear_Medicine_Brochure_May08.pdf
Mas, J.C.: A Patient’s Guide to Nuclear Medicine Procedures: English-Spanish. Society of Nuclear Medicine (2008). ISBN 978-0-9726478-9-2
Medema, J., Luurtsema G., Keizer, H., Tjilkema, S., Elsinga, P.H., Franssen, E.F., Paans, A.J., Vaalburg, W.: Fully automated and unattended [18F] Fluoride and [18F] FDG production using PLC controlled systems. In: Proceedings of the 31st European Cyclotron Progress Meeting, Zurich (1997)
Kusiak, A.: Intelligent Manufacturing Systems. Prentice Hall, Englewood Cliffs, N.J. (1990). ISBN 0-13-468364-1
Tang, F.: HVAC system modeling and optimization: a data mining approach. M.Sc. thesis, University of Iowa. http://ir.uiowa.edu/etd/895 (2010)
Hadjiski, M., Sgurev, V., Boishina, V.: Multi agent intelligent control of centralized HVAC systems, energy saving control. In: IFAC Workshop on Energy Saving Control in Plants and Buildings ESCPB’06, vol. 1, pp. 195–200 (2006)
Gopika, S.: Agent based HVAC optimization model for building energy efficiency. In: IEEE 9th International Conference on Intelligent Systems and Control (2015). doi:10.1109/ISCO.2015.7282239
Nassif, N., Kajl, S., Sabourin, R.: Simplified model-based optimal control of VAV air conditioning systems. In: Proceedings of 9th International IBPSA Conference, Montréal, Canada (2005)
Tsai, W.T.: Service-oriented system engineering: a new paradigm. In: Proceedings of the 2005 IEEE International Workshop on Service-Oriented System Engineering (SOSE’05), IEEE Computer Society. (2005). ISBN 0-7695-2438-9/05
De Deugd, S., Carroll, R., Kelly, K.E., Millett, B., Ricker, J.: SODA: service-oriented device architecture. IEEE Pervasive Comput. 5(3), 94-C3 (2006)
McFarlane, D., Giannikas, V., Wong, C.Y., Harrison, M.: Product intelligence in industrial control: theory and practice. Annu. Rev. Control 37, 69–88 (2013)
Van Brussel, H., Wyns, J., Valckenaers, P., Bongaerts, L., Peeters, P.: Reference architecture for holonic manufacturing systems: PROSA. Comput. Ind. Spec. Issue Intell. Manuf. Syst. 37(3), 255–276 (1998)
Leitao, P., Restivo, F.: ADACOR: a holonic architecture for agile and adaptive manufacturing control. Comput. Ind. 57(2), 121–130 (2006)
Răileanu, S., Anton, F., Iatan, A., Borangiu, Th., Anton, S., Morariu, O.: Resource scheduling based on energy consumption for sustainable manufacturing. J. Intell. Manuf. (2015). doi:10.1007/s10845-015-1142-5 Print ISSN: 0956-5515
Novas, J.M., Bahtiar. R., Van Belle, J., Valckenaers, P.: An approach for integration of a scheduling system and a multiagent MES. Towards a collaborative framework. In: Proceedings of 14th IFAC Symposium on INCOM’12, Bucharest, pp. 728–733, IFAC PapersOnLine (2012)
Acknowledgements
This research work has been partially supported by the IBM FA 2016 DTM Project: “Big Data, Analytics and Cloud for Digital Transformation on Manufacturing”.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Borangiu, T., Silişteanu, A., Răileanu, S., Morariu, O. (2017). Holonic Facility Environment Monitoring and Control for Radiopharmaceutical Agent-Based Production. In: Borangiu, T., Trentesaux, D., Thomas, A., Leitão, P., Oliveira, J. (eds) Service Orientation in Holonic and Multi-Agent Manufacturing . SOHOMA 2016. Studies in Computational Intelligence, vol 694. Springer, Cham. https://doi.org/10.1007/978-3-319-51100-9_24
Download citation
DOI: https://doi.org/10.1007/978-3-319-51100-9_24
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-51099-6
Online ISBN: 978-3-319-51100-9
eBook Packages: EngineeringEngineering (R0)