FROM DISTRIBUTED MEASUREMENT SYSTEMS TO CYBER-PHYSICAL SYSTEMS: A DESIGN APPROACH
Keywords:Distributed Measurement Systems, Multi-agent systems, Cyber-Physical Systems, Model continuity.
AbstractRecently the technological advances have allowed the introduction of new standards to model and monitor control systems. The classical distributed measurement systems (DMSs) have been enriched with the use of a large number of new measurement devices, increasing the amount of produced data. New paradigms for their management are needed, that coupled with actuators, enable the integration of DMSs into more complex systems, known as Cyber-Physical Systems (CPSs). CPSs application field includes different areas such as health care, power management in smart micro grids, and, more in general, management and execution of time-dependent event-driven systems. This paper proposes a framework that allows the modelling, analysis and the implementation of CPSs. In particular, the proposed framework introduces an original feature called model continuity that offers the possibility of using a same model for both simulation phase and real-time execution phase.
E. Spanò, S. Di Pascoli, G. Iannaccone, “Internet-of things infrastructure as a platform for distributed measurement applications,” in Proceeding of the IEEE Instrumentation and Measurement Technology Conference (I2MTC 2015), Pisa, Italy, May 11-14, 2015.
S. Wang, J. Wan, D. Zhang, D. Li, C. Zhang, “Towards smart factory for Industry 4.0: A self-organized multi-agent system with big data based feedback and coordination,” Computer Networks, Vol. 101, 158-168, 2016.
G. Rohbogner, U.J.J. Hahnel, P. Benoit, S. Fey, “Multi-Agent Systems Asset for Smart Grid Applications,” Computer Science and Inf. Sys. (ComSIS), Vol. 10, pp. 1799-1822, 2013.
J. Lee, H.A. Kao, S. Yang, “Service innovation and smart analytics for industry 4.0 and big data environment,” Procedia Cirp, Vol. 16, pp. 3-8, 2014.
E.A. Lee, “Cyber Physical Systems: Design challenges,” in Proceedings of the International Symposium on Object/Component/Service Oriented Real-Time Distributed Computing (ISORC), 2008, pp. 363-369.
P. Leitão, A.W. Colombo, S. Karnouskos, “Industrial automation based on cyber-physical systems technologies: Prototype implementations and challenges,” Computers in Industry, Vol. 81, pp. 11-25, 2016.
J. Sztipanovits, X. Koutsoukos, G. Karsai, N. Kottenstette, P. Antsaklis, V. Gupta, B. Goodwine, J. Baras, S. Wang, “Toward a science of cyber–physical system integration,” in Proceedings of the IEEE, Vol. 100, pp. 29-44, 2012.
F. Lamonaca,, A. Gasparri, E. Garone, D. Grimaldi, “Clock synchronization in wireless sensor network with selective convergence rate for event driven measurement applications,” IEEE Transactions on Instrumentation and Measurement, Vol. 63, pp. 2279-2287, 2014.
T. Sanislav, L. Miclea, “Cyber-physical systems – Concepts, challenges and research areas,” Journal of Control Engineering and Applied Informatics, Vol. 14, pp. 28-33, 2012.
S. Abras, S. Pesty, S. Ploix, M. Jacomino, “Advantages of MAS for the resolution of a power management problem in smart homes,” in Proceedings of the 8th Int. Conf. on Practical Applications of Agents and Multi-Agent Systems (PAAMS’10), Springer, pp. 269-278, 2010.
F. Cicirelli, L. Nigro, “Control centric framework for model continuity in time-dependent multi-agent systems,” Concurrency and Computation: Practice and Experience, Vol. 28, No. 12, pp. 3333-3356, 2016.
F. Bellifemine, G. Caire, D. Greenwood. Developing Multi-Agent Systems with JADE, John Wiley & Sons, 2007.
D.L. Carni, F. Cicirelli, D. Grimaldi, L. Nigro, P. F. Sciammarella. “Agent-based software architecture for distributed measurement systems and cyber-physical systems design,” in Proceedings of the IEEE Int. Instrumentation and Measurement Technology Conference (I2MTC 2017), Turin, Italy, May 22-25, 2017.
F. Cicirelli, L. Nigro, P.F. Sciammarella, “Agents+Control: A Methodology for CPSs,” in Proceedings of the IEEE/ACM 20th Int. Symp. on Distributed Simulation and Real Time Application, London, England, September 21-23, pp. 45-52, 2016.
Mosquitto, An Open Source MQTT v3.1/v3.1.1 Broker - https://mosquitto.org/
S. Lee, H. Kim, D.K. Hong, H. Ju, “Correlation analysis of MQTT loss and delay according to QoS level,” in Proceedings of the International Conference of Information Networking (ICOIN), Bangkok, Thailand, January 28-30, pp. 714-717, 2013.
D.L. Mills, “Internet time synchronization: the network time protocol,” IEEE Transactions on communications, Vol. 39, No. 10, pp. 1482-1493, 1991.
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