Название: AutomationML: A Practical Guide
Автор: Rainer Drath
Издательство: De Gruyter
Год: 2021
Страниц: 290
Язык: английский
Формат: pdf (true), epub
Размер: 54.6 MB

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.

For industrial companies, the usage of AutomationML has proven to be doubly beneficial. Not only can the application of AutomationML help diminish data loss and resulting incompatibilities in engineering tool chains, but it was also proven that modelling information in AutomationML is a future-proof approach to support the digitalization of plants, products and portfolios.

If, as a reader, you now wonder if the claims laid down in this preface can possibly be true, I cordially invite you to make your own assessment. In this book, you find the current state of the art for AutomationML to the best of the knowledge of global experts for the technology. The AutomationML e.V. as the caretaker for the AutomationML technology would also like to invite you to engage with us and give us feedback on your thoughts about what you will read in this book. And, maybe, to join us in the future journey of the AutomationML technology.

This book is written for students, teachers and professors in colleges and universities. This book is written for researchers and PhD students: AutomationML encourages the application and development of new methods and approaches that cannot (yet) be realized with today's tools. This book is written for engineers and decision-makers in the process and manufacturing industry who want to address the topic of data exchange between engineering tools or the digitalization of engineering tool chains. This book is also addressed to computer scientists, who will find many helpful details and examples for the modelling of AutomationML.