Paperback. 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: This book is a beginner's guide to AutomationML Edition 2, CAEX and the AutomationML Editor. It teaches the basics of AutomationML, its values, innovations, architecture and language elements through a multitude of examples and step-by-step instruct Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Bibliographic Details

Title: AutomationML (Paperback)
Publisher: De Gruyter, Berlin
Publication Date: 2021
Language: English
ISBN 10: 3110746220
ISBN 13: 9783110746228
Binding: Paperback
Condition: new

About this title

Synopsis

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/

About the Author

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.

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