In this chapter the integration of a knowledge database and machine vision within a robot-based CPS is picked out as a central theme. Three examples show the differences of implementing a robot-based CPS within large or small and medium-sized enterprises. The use cases describe the implementation of prototypes in different surroundings. It can either be an automated basic process in hazardous surroundings like the load of petrochemical liquids, one of several automated processes ongoing parallel in a classical production plant like the assembling process or an implementation to connect different automated process steps using an overall RFID system in the laundry process.
%0 Book Section
%1 BergerWaechterEtAl17p231
%A Berger, Ulrich
%A Wächter, Kornelius
%A Ampatzopoulos, Alexandros
%A Klabuhn, Janny
%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 knowledge processing robot process video analysis rfid zzz.cps
%P 231--260
%R 10.1007/978-3-319-42559-7_9
%T Integration of a Knowledge Database and Machine Vision Within a Robot-Based CPS
%X In this chapter the integration of a knowledge database and machine vision within a robot-based CPS is picked out as a central theme. Three examples show the differences of implementing a robot-based CPS within large or small and medium-sized enterprises. The use cases describe the implementation of prototypes in different surroundings. It can either be an automated basic process in hazardous surroundings like the load of petrochemical liquids, one of several automated processes ongoing parallel in a classical production plant like the assembling process or an implementation to connect different automated process steps using an overall RFID system in the laundry process.
%@ 978-3-319-42558-0
@incollection{BergerWaechterEtAl17p231,
abstract = {In this chapter the integration of a knowledge database and machine vision within a robot-based CPS is picked out as a central theme. Three examples show the differences of implementing a robot-based CPS within large or small and medium-sized enterprises. The use cases describe the implementation of prototypes in different surroundings. It can either be an automated basic process in hazardous surroundings like the load of petrochemical liquids, one of several automated processes ongoing parallel in a classical production plant like the assembling process or an implementation to connect different automated process steps using an overall RFID system in the laundry process.},
added-at = {2017-01-01T15:45:31.000+0100},
address = {Cham},
author = {Berger, Ulrich and W\"{a}chter, Kornelius and Ampatzopoulos, Alexandros and Klabuhn, Janny},
biburl = {https://www.bibsonomy.org/bibtex/24d407c2c4a9398af353b3e9cdaeb9a39/flint63},
booktitle = {Industrial Internet of Things},
crossref = {JeschkeBrecherEtAl2017},
doi = {10.1007/978-3-319-42559-7_9},
editor = {Jeschke, Sabina and Brecher, Christian and Song, Houbing and Rawat, Danda B.},
file = {SpringerLink:2017/BergerWaechterEtAl17p231.pdf:PDF},
groups = {public},
interhash = {207c1f016ddd10b0fea85c4504fe9480},
intrahash = {4d407c2c4a9398af353b3e9cdaeb9a39},
isbn = {978-3-319-42558-0},
issn = {2365-4139},
keywords = {01821 springer paper embedded ai factory knowledge processing robot process video analysis rfid zzz.cps},
pages = {231--260},
publisher = {Springer},
series = {Springer Series in Wireless Technology},
timestamp = {2018-04-16T12:31:30.000+0200},
title = {Integration of a Knowledge Database and Machine Vision Within a Robot-Based {CPS}},
username = {flint63},
year = 2017
}