%0 Book Section %1 SchilbergHoffmannEtAl17p261 %A Schilberg, Daniel %A Hoffmann, Max %A Schmitz, Sebastian %A Meisen, Tobias %B Industrial Internet of Things %C Cham %D 2017 %E Jeschke, Sabina %E Brecher, Christian %E Song, Houbing %E Rawat, Danda B. %I Springer %K 01821 springer paper embedded ai factory adaptive middleware data management zzz.i40 %P 261--286 %R 10.1007/978-3-319-42559-7_10 %T Interoperability in Smart Automation of Cyber Physical Systems %X Interoperability is a progressive issue in smart automation. To tackle the problem of missing interoperability, the standardization of interfaces and transfer protocols is the established solution, endorsed by many organizations like DIN ISO, IEEE, or the OPC UA foundation. However, many machine tools and robots already exist and are used along diverse manufacturing processes. These tools lack common interfaces for interconnection. Also a common standard depicts the status quo at a certain time of development. That means future developments and technologies are not considered. Due to the increase in complexity of production networks a standard carries the risk to be a least common multiple. Hence, a different approach is needed. In this chapter, we discuss approaches that provide adaptive interfaces. Therefore, the technical systems need to interpret data and derive meaning of the data. This requires a new type of standardization that facilitates exchange of information between heterogeneous systems. %@ 978-3-319-42558-0

@incollection{SchilbergHoffmannEtAl17p261, abstract = {Interoperability is a progressive issue in smart automation. To tackle the problem of missing interoperability, the standardization of interfaces and transfer protocols is the established solution, endorsed by many organizations like DIN ISO, IEEE, or the OPC UA foundation. However, many machine tools and robots already exist and are used along diverse manufacturing processes. These tools lack common interfaces for interconnection. Also a common standard depicts the status quo at a certain time of development. That means future developments and technologies are not considered. Due to the increase in complexity of production networks a standard carries the risk to be a least common multiple. Hence, a different approach is needed. In this chapter, we discuss approaches that provide adaptive interfaces. Therefore, the technical systems need to interpret data and derive meaning of the data. This requires a new type of standardization that facilitates exchange of information between heterogeneous systems.}, added-at = {2017-01-01T15:27:25.000+0100}, address = {Cham}, author = {Schilberg, Daniel and Hoffmann, Max and Schmitz, Sebastian and Meisen, Tobias}, biburl = {https://www.bibsonomy.org/bibtex/253204bc611e6c4069e0167345e9d6302/flint63}, booktitle = {Industrial Internet of Things}, crossref = {JeschkeBrecherEtAl2017}, doi = {10.1007/978-3-319-42559-7_10}, editor = {Jeschke, Sabina and Brecher, Christian and Song, Houbing and Rawat, Danda B.}, file = {SpringerLink:2017/SchilbergHoffmannEtAl17p261.pdf:PDF}, groups = {public}, interhash = {9947a19a63570c7be6dec6e8804cbb85}, intrahash = {53204bc611e6c4069e0167345e9d6302}, isbn = {978-3-319-42558-0}, issn = {2365-4139}, keywords = {01821 springer paper embedded ai factory adaptive middleware data management zzz.i40}, pages = {261--286}, publisher = {Springer}, series = {Springer Series in Wireless Technology}, timestamp = {2018-04-16T11:58:03.000+0200}, title = {Interoperability in Smart Automation of Cyber Physical Systems}, username = {flint63}, year = 2017 }