In this chapter we introduce a concept that improves the use of Digital Product Memory (DPM) on industrial embedded control systems to control decentralized production processes. The core of this concept is an XML schema that supports the specification of machine-readable mappings between an XML-based and binary DPM representation. This supports the separate description of the DPM information used for production control and its binary memory representation, e.g., on RFID tags. A server that stores those XML mapping documents and processes the address queries from the embedded production control systems has been developed. To demonstrate the feasibility of the approach this mapping technology was implemented in a demonstration module which was presented at Hannover Messe 2010.
%0 Book Section
%1 SeisslerStephanEtAl13p149
%A Seißler, Marc
%A Stephan, Peter
%A Schlick, Jochen
%A Dahmann, Ines
%B SemProM: Foundations of Semantic Product Memories for the Internet of Things
%C Heidelberg
%D 2013
%E Wahlster, Wolfgang
%I Springer
%K v1205 springer paper embedded ai dfki sensor product information xml rfid zzz.spm
%P 149-161
%R 10.1007/978-3-642-37377-0_9
%T DPM Mapper: A Concept to Bridge the Gap Between XML-Based Digital Product Memories and Their Binary Representation
%X In this chapter we introduce a concept that improves the use of Digital Product Memory (DPM) on industrial embedded control systems to control decentralized production processes. The core of this concept is an XML schema that supports the specification of machine-readable mappings between an XML-based and binary DPM representation. This supports the separate description of the DPM information used for production control and its binary memory representation, e.g., on RFID tags. A server that stores those XML mapping documents and processes the address queries from the embedded production control systems has been developed. To demonstrate the feasibility of the approach this mapping technology was implemented in a demonstration module which was presented at Hannover Messe 2010.
@incollection{SeisslerStephanEtAl13p149,
abstract = {In this chapter we introduce a concept that improves the use of Digital Product Memory (DPM) on industrial embedded control systems to control decentralized production processes. The core of this concept is an {XML} schema that supports the specification of machine-readable mappings between an {XML-based} and binary {DPM} representation. This supports the separate description of the {DPM} information used for production control and its binary memory representation, e.g., on {RFID} tags. A server that stores those {XML} mapping documents and processes the address queries from the embedded production control systems has been developed. To demonstrate the feasibility of the approach this mapping technology was implemented in a demonstration module which was presented at Hannover Messe 2010.},
added-at = {2013-04-03T18:12:07.000+0200},
address = {Heidelberg},
author = {Seißler, Marc and Stephan, Peter and Schlick, Jochen and Dahmann, Ines},
biburl = {https://www.bibsonomy.org/bibtex/2f8dab3af4762b745f85897692175cb68/flint63},
booktitle = {SemProM: Foundations of Semantic Product Memories for the Internet of Things},
crossref = {Wahlster2013},
doi = {10.1007/978-3-642-37377-0_9},
editor = {Wahlster, Wolfgang},
groups = {public},
interhash = {02524e734f0da2a4a51fa8d77edea77f},
intrahash = {41626230a377ee6a8ca3d622720f8f3d},
keywords = {v1205 springer paper embedded ai dfki sensor product information xml rfid zzz.spm},
pages = {149-161},
publisher = {Springer},
timestamp = {2015-03-05T14:22:26.000+0100},
title = {{DPM Mapper}: A Concept to Bridge the Gap Between {XML}-Based Digital Product Memories and Their Binary Representation},
username = {flint63},
year = 2013
}