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AutomationML: the industrial cookbook
Kategorie	Beschreibung
036a	XA-DE-BE
037b	eng
077a	1755673213 Erscheint auch als (Druck-Ausgabe): ‡AutomationML
087q	978-3-11-074592-4
087s	$aRestricted Access$gControlled Vocabulary for Access Rights$uhttp://purl.org/coar/access_right/c_16ec$fonline access with authorization
100b	Drath, Rainer ¬[HerausgeberIn]¬
200b	De Gruyter Oldenbourg ¬[Verlag]¬
331	AutomationML
335	the industrial cookbook
410	Berlin
412	De Gruyter Oldenbourg
425	2021
425a	2021
433	1 Online-Ressource (XXIII, 641 Seiten) : Illustrationen
451b	De Gruyter STEM
527	Erscheint auch als (Druck-Ausgabe): ‡AutomationML
540a	ISBN 978-3-11-074597-9 PDF
540a	ISBN 978-3-11-074619-8 EPUB
700	\|TEC004000
700b	\|670.4275
700b	\|670.285
700b	\|620
750	This book provides a comprehensive in-depth look into the practical application of AutomationML Edition 2 from an industrial perspective. It is a cookbook for advanced users and describes re-usable pattern solutions for a variety of industrial applications and how to implement it in software. Just to name some: AutomationML modelling of AAS, MTP, SCD, OPC UA, Automation Components, Automation Projects, drive configurations, requirement models, communication systems, electrical interfaces and cables, or semantic integration aspects as eClass integration or handling of semantic heterogeneity. This book guides through the universe of AutomationML from industrial perspective. It is written by AutomationML experts that have industrially implemented AutomationML in pattern solutions for a large variety of applications. This book is structured into three major parts. • Part I: software implementation for developers • Part II: re-usable industrial pattern solutions and domain models • Part III: outlook into future AutomationML applications. Additional material to the book and more information about AutomationML on the website: https://www.automationml.org/about-automationml/publications/amlbook/
902s	315210478 AutomationML
902s	433676663 Industrie 4.0
902s	209113626 Software
012	1759200883
081	AutomationML
100	E-Book De Gruyter
125a	Elektronischer Volltext - Campuslizenz
655e	$uhttps://doi.org/10.1515/9783110745979