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Attribute-based identification processes for autonomous manufacturing systems - an approach for the integration in factory planning methods

 
: Kiefer, L.; Voit, P.; Richter, C.; Reinhart, G.

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Volltext ()

Procedia CIRP 79 (2019), S.204-209
ISSN: 2212-8271
Conference on Intelligent Computation in Manufacturing Engineering (ICME) <12, 2018, Ischia>
Englisch
Zeitschriftenaufsatz, Konferenzbeitrag, Elektronische Publikation
Fraunhofer IGCV ()

Abstract
The demand for customer innovated products is rising. In order to deal with the resulting complexity, the factory planner can employ autonomous manufacturing systems, in which objects are enabled to coordinate themselves through production systems. A fundamental requirement for this kind of control is the identification of objects. In this approach, attribute-based identification is focused on decreasing the identification costs. Instead of using an ID, an object type is recognised by its attributes. The integration of such a system, especially the required sensors, in an existing plant is difficult. Therefore, planning and development should take place within the factory planning.

: http://publica.fraunhofer.de/dokumente/N-569200.html