Scientific and Technical Journal


ISSN Print 2221-3937
ISSN Online 2221-3805
Generic hardware/software system architecture for professional Internet of Things applications has been designed and implemented. The system architecture is based on a multi-agent system approach and uses event-based data stream management technologies for data fusion. The described approach has been validated in two real-world settings: A cyber-physical production systems (CPPS) and a smart building closed-loop control system with simulation support (CyPhREE). Acquired event-based data is integrated and used to control and optimise system processes using data science approaches. Finally, technologies and concepts from data science, big data analysis and data mining of the gathered data are described and their integration is proposed.

1. Bauer M., Schöler T., Kögel L., and Schweinfest M., (2016), Agentenbasierte Steuerung von thermischer Simulation in Echtzeit, Bausim 2016, Dresden, Sep. 6 (to be published).

2. Industrie 4.0 working group, Recommendations for Implementing the Strategic Initiative Industries 4,04.0. 2013.

3. Isikdag U., (2015), Advanced SOA Patterns for Building Information Models, in SpringerBriefs in Computer Science, Enhanced Building Information Models: Using IoT Services and Integration Patterns, U. Isikdag, Ed. 1st ed, Cham, s. l.: Springer International Publishing, pp. 71 – 98.

4. Kögel L., (2015), Concept and Design of a Cyber-Physical System for Smart Buildings, in Applied Research Conference 2015, Nürnberg, book-on-demand Verlag, pp. 72 – 75.

5. Kögel L., (2016), Cyber-Physical Systems for Smart Buildings, in Applied Research Conference 2016, Augsburg, (to be published).

6. Schöler T., (2014), The SEPIA cyber-physical production control system, Electrotechnic and Computer Systems, ONPU Odessa, Ukraine, Nо. 13 (89),

7. Schöler T., Ego C., Leimer J., and Lieback R., (2013),Von Softwareagenten zu Cyber-Physical Systems: Technologien und Anwendungen, in Agentensysteme in der Automatisierungstechnik, P. Göhner, Ed. Springer Berlin Heidelberg, pp.129 – 149.

8. Seel C., Schimmelpfennig J., Mayer D., and Walter P., (2010), Conceptual Modelling of Complex events of the Internet of Things, in eChallenges, 2010, , pp. 1 – 8.

9. Seitz C. and Schöler T., (2009), An Agent-based Sensor Middleware for generating and interpreting Digital Product Memories.

10. Vogel-Heuser B., Schütz D., Schöler T., Pröll S., Jeschke S., Ewert D.,. Niggemann O, Windmann S., Berger U.,and. Lehmann C, (2015), Agentenbasierte Cyber-physische Produktions-systeme, atp Edition, Bd. 57, No. 9/2015, pp. 36 – 45.

11. Waltz E.L., (1998), Information Under-standing: Integrating data Fusion and data Mining Processes, in Proceedings of the 1998 IEEE International Symposium on Circuits and Systems, ISCAS ’98, Bd. 6, Vol. 6, pp. 553 – 556.

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