01057nam2-2200373---450 99000559547020331620200512185733.0000559547USA01000559547(ALEPH)000559547USA0100055954719981214e19951882|||y0itaa50------baenggbj 00|||James Milla biographyAlexander Bain2nd impLondonRoutledge ; Thoemmes press1995XXXII, 466 p.22 cm0010005595462001<<The >> collected works of James Mill7Mill, JamesBiografieFLONDON144.6BAIN,Alexander482625ITSA20111219990005595470203316Dipar.to di Filosofia - SalernoDFAA 144.6 MIL1614 FILAA 144.6 MIL1614 FILBKFIL20121027USA01152520121027USA011614James Mill1132457UNISA03088nam 2200493 450 991055422500332120231110220137.03-11-074623-910.1515/9783110746235(CKB)5590000000532509(DE-B1597)579567(DE-B1597)9783110746235(MiAaPQ)EBC6701852(Au-PeEL)EBL6701852(OCoLC)1262308442(EXLCZ)99559000000053250920220430d2021 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierAutomationML a practical guide /Rainer DrathBerlin ;Boston, MA :Walter de Gruyter GmbH,[2021]©20211 online resource (XIV, 275 p.)De Gruyter Textbook3-11-074622-0 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 -- BiographiesThis 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/De Gruyter Textbook AutomationData processingComputer softwareDevelopmentAutomationData processing.Computer softwareDevelopment.670.427Drath Rainer1223362MiAaPQMiAaPQMiAaPQBOOK9910554225003321AutomationML2837750UNINA