AutomationML: A Practical Guide
- Length: 275 pages
- Edition: 1
- Language: English
- Publisher: De Gruyter Oldenbourg
- Publication Date: 2021-07-19
- ISBN-10: 3110746220
- ISBN-13: 9783110746228
- Sales Rank: #3976843 (See Top 100 Books)
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.
Title Page Copyright Contents Foreword by Prof. Dr. Alexander Fay Foreword by Andreas Graf Gatterburg Acknowledgement by Prof. Dr. Rainer Drath Chapter 1 What is AutomationML? Motivation, goals, innovations, and values of AutomationML 1 What is AutomationML? 1.1 Introduction and Motivation 1.2 Why AutomationML was developed 1.3 Challenges for a neutral data format 1.4 What is AutomationML? 1.5 Encoding information with AML – four layers of abstraction 1.6 Exclusions 1.7 AutomationML Specifications 1.8 The AutomationML association 1.9 References for Chapter 1 Notes Chapter 2 CAEX and AutomationML Guide Motivation, goals, innovations, and values of AutomationML 2 The CAEX and AutomationML guide 2.1 AutomationML architecture and modelling philosophy 2.2 The CAEX 3.0 guide 2.3 AutomationML Edition 2 versus CAEX 3.0 2.4 AutomationML base libraries 2.5 Referencing external documents 2.6 Extended AutomationML Concepts 2.7 Best practice recommendations for AML modelling 2.8 Conclusion and summary 2.9 References for Chapter 2 Notes Chapter 3 Modelling of Geometry and Kinematics Modelling of geometry and kinematics information with COLLADA and integration into CAEX 3 Modelling of Geometry and Kinematics 3.1 Introduction 3.2 Modelling of geometry and kinematics with COLLADA 3.3 Examples 3.4 Interlinking COLLADA and CAEX 3.5 Summary 3.6 References for Chapter 3 Chapter 4 Modelling of Behaviour Referencing and integration of behaviour models with the AutomationML submodels IEC 61131-10 4 Modelling of Behaviour 4.1 Introduction and Motivation 4.2 AutomationML approach for representing behaviour models 4.3 How to reference external behaviour models 4.4 How to model behaviour with IEC 61131-10 4.5 Example 4.6 Modelling of complex behaviour or protected models via FMU 4.7 Discussion and Conclusion 4.8 References for Chapter 4 Chapter 5 The AutomationML Editor A free editor from the AutomationML society for viewing, editing or documenting AutomationML documents. 5 The AutomationML Editor 5.1 Introduction 5.2 Purpose of Usage 5.3 User Interface 5.4 Editing Functions 5.5 Extended Functionality 5.6 Customization of the AutomationML Editor 5.7 How to send Feedback 5.8 Summary 5.9 References for Chapter 5 Abbreviations Biographies About the Editor About the Co-Authors Trademarks Index
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