AutomationML: A Practical Guide

Published by De Gruyter Oldenbourg 2021

AutomationML

A Practical Guide

Edited by: Rainer Drath

In the series De Gruyter Textbook

https://doi.org/10.1515/9783110746235

Overview
Contents

About this book

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/

The first textbook on Caex and AutomationML
With many hand-on examples
All examples and source codes downloadable online

Author / Editor information

Prof. Dr.-Ing. Rainer Drath is a scientist in the field of Automation Engineering, one of the architects of CAEX and AutomationML, board member of the AutomationML Association. He studied automation engineering at TU Ilmenau from 1990-1995 and received his PhD from 1996-1999. From 2001-2017 he worked at ABB's research center in Ladenburg as a scientist, group leader, program manager and senior principal scientist. In 2017, Rainer Drath was appointed Professor of Mechatronic Systems Development at Pforzheim University. There he teaches, among other things, Mechatronic Systems Engineering and, together with his team, is dedicated to researching innovative methods for improving interdisciplinary systems engineering as well as Industry 4.0. Rainer Drath is the editor of the first AutomationML book and author of more than 200 publications.

Topics

Frontmatter Publicly Available Download PDF	I
Foreword by Prof. Dr. Alexander Fay Publicly Available Download PDF	V
Foreword by Andreas Graf Gatterburg Publicly Available Download PDF	VII
Acknowledgement by Prof. Dr. Rainer Drath Publicly Available Download PDF	IX
Table of Contents Publicly Available Download PDF	XI
Chapter 1 – What is AutomationML? Rainer Drath and Pascal Habiger Requires Authentication Unlicensed Licensed Download PDF	1
Chapter 2 – CAEX and AutomationML Guide Rainer Drath Requires Authentication Unlicensed Licensed Download PDF	45
Chapter 3 – Modelling of Geometry and Kinematics Rainer Drath and Steffen Lips Requires Authentication Unlicensed Licensed Download PDF	167
Chapter 4 – Modelling of Behaviour Arndt Lüder, Nicole Schmidt and Rainer Drath Requires Authentication Unlicensed Licensed Download PDF	213
Chapter 5 – The AutomationML Editor Lorenz Hundt, Josef Prinz and Rainer Drath Requires Authentication Unlicensed Licensed Download PDF	235
Abbreviations Requires Authentication Unlicensed Licensed Download PDF	265
Trademarks Requires Authentication Unlicensed Licensed Download PDF	267
Index Requires Authentication Unlicensed Licensed Download PDF	269
Biographies Requires Authentication Unlicensed Licensed Download PDF	273

(Deutsch)

Language: English
Publisher: De Gruyter Oldenbourg
Audience: Students, Researchers, Professionals.
Pages
- Front matter: 14
- Main content: 275
Illustrations
- Illustrations: 223
- Tables: 48
Keywords: Automation; Machine Learning; Artificial Intelligence

eBook

Published: July 19, 2021
ISBN: 9783110746235

Paperback

Published: July 19, 2021
ISBN: 9783110746228