AutomationML : A Practical Guide / ed. by Rainer Drath.
Contributor(s): Drath, Rainer [contributor.] | Drath, Rainer [editor.] | Habiger, Pascal [contributor.] | Hundt, Lorenz [contributor.] | Lips, Steffen [contributor.] | Lüder, Arndt [contributor.] | Prinz, Josef [contributor.] | Schmidt, Nicole [contributor.].
Material type: BookSeries: De Gruyter Textbook.Publisher: München ; Wien : De Gruyter Oldenbourg, [2021]Copyright date: ©2021Description: 1 online resource (XIV, 275 p.).Content type: text Media type: computer Carrier type: online resourceISBN: 9783110746235.Subject(s): Automatisierung | Caex | Software | Xml | COMPUTERS / Intelligence (AI) & Semantics | Artificial Intelligence | Automation | Machine LearningAdditional physical formats: No title; No titleDDC classification: 670.42755 Online resources: Click here to access online | Click here to access online | Cover Issued also in print.Frontmatter -- Foreword by Prof. Dr. Alexander Fay -- Foreword by Andreas Graf Gatterburg -- Acknowledgement by Prof. Dr. Rainer Drath -- Table of Contents -- Chapter 1 - What is AutomationML? -- Chapter 2 - CAEX and AutomationML Guide -- Chapter 3 - Modelling of Geometry and Kinematics -- Chapter 4 - Modelling of Behaviour -- Chapter 5 - The AutomationML Editor -- Abbreviations -- Trademarks -- Index -- Biographies
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This book is a beginner's guide to AutomationML Edition 2, written for students, engineers, lecturers, developers and those interested. In guides through the basics of AutomationML Edition 2, CAEX and the AutomationML Editor. AutomationML stands for digitisation of engineering data and engineering workflows. AutomationML achieves both human readability and machine-readability. It is a method for converting data into digital information, and it supports the special needs of iterative engineering data exchange. AutomationML is in the hot spot of the digitisation of automation engineering data. It enables the modelling and transport of engineering data in a vendor neutral and machine-readable models, a valuable source of digital innovation. Machine readable engineering data makes the data accessible and interpretable by software, enabling a plethora of opportunities. This book carefully introduces AutomationML, its goals, values and innovations. It teaches the architecture of AutomationML and explains the language elements with a multitude of examples and step-by-step instructions. Additional material to the book and more information about AutomationML on the website: https://www.automationml.org/about-automationml/publications/amlbook/
Issued also in print.
Mode of access: Internet via World Wide Web.
In English.
Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Dez 2022)
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