Abstract
In most cases in intelligent manufacturing applications the communication functions depend on the capabilities of the intelligent tool (e.g. expert system). Three different types of working mode and different logical levels of the communication of an intelligent cell-controller in a CIM environment is shown in the paper. These levels are implemented — of course — within the same protocol. After this concept the paper explains the connection between these logical levels and the communication protocols and ontologies. Finally a simulation tool introduced in the second part of the paper was developed to examine the effects of the different communication messages and to analyse how the different type of messages can be measured in a real Flexible Manufacturing System (FMS) environment.
The original version of this chapter was revised: The copyright line was incorrect. This has been corrected. The Erratum to this chapter is available at DOI: 10.1007/978-0-387-35492-7_50
Chapter PDF
Similar content being viewed by others
References
Buta P, Springer S: Communicating the knowledge in knowledge-based systems, Expert systems with applications, 1992, 5, pp. 389–394
Finin T., Labrou Y., Mayfield J.: KQML as an Agent Communication Language. Software Agents, AAAI Press, 1997, pp. 2291–316
Gruber T.R.: The Role of Common Ontology in Achieving Sharable, Reusable Knowledge Bases, Proc. of 2nd Int. Conf.: Principles of Knowledge Representation and Reasoning, Cambridge, MA, pp: 601–602, Morgan Kaufmann, 1991
Kaula R.: Communication Model for Module-Based Knowledge Systems, in. Knowledge Based Systems, Academic Press, Vol. 1, 2000
Kovacs G., I. Mezgâr, S. Kopâcsi, J. Nacsa, P. Groumpos: A hybrid simulationscheduler-quality control system for FMS. In: Mechatronics. The basis for new industrial development. Proceedings of the joint Hungarian-British international mechatronics conference. Budapest, 1993. Southampton, Computational Mechanics Publ., 1994. pp. 655–662.
Nacsa J., Kovacs G.L.: Communication problems of expert systems in manufacturing environment, in AIRTC’94 (ed. Crespo), pp. 377–381, Preprints of the Symposium on Artificial Intelligence in Real-time Control, Valencia, Spain, 1994, IFAC
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 IFIP International Federation for Information Processing
About this chapter
Cite this chapter
Nacsa, J. (2002). Logical Communication Levels in an Intelligent Flexible Manufacturing System. In: Kovács, G.L., Bertók, P., Haidegger, G. (eds) Digital Enterprise Challenges. PROLAMAT 2001. IFIP — The International Federation for Information Processing, vol 77. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35492-7_4
Download citation
DOI: https://doi.org/10.1007/978-0-387-35492-7_4
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4757-4987-8
Online ISBN: 978-0-387-35492-7
eBook Packages: Springer Book Archive