Why We Need Automation Models: Handling Complexity in Industry 4.0 and the Internet of Things

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

Abstract

With the introduction of computers occurring more than 50 years ago, automation systems have become more powerful, comprehensive, and complex. The key to handling this complexity was the introduction of many aspects, including architecture models that structure and standardize functions, information, and its exchange; procedures; and the interaction of subsystems. With the recent Industry 4.0 and industrial Internet of Things (IIoT) movements, such models have received fresh attention and have grown in complexity. This article reviews the evolution of automation models. It compares several recent approaches, their standardization, and recent computing paradigms, and discusses their practical use and importance for modern automation systems.

Details

Original languageEnglish
Article number9044672
Pages (from-to)29-40
Number of pages12
JournalIEEE Industrial Electronics Magazine
Volume14
Issue number1
Publication statusPublished - Mar 2020
Peer-reviewedYes

External IDs

Scopus 85082536699
ORCID /0000-0002-4646-4455/work/163764036

Keywords

Research priority areas of TU Dresden

DFG Classification of Subject Areas according to Review Boards

Subject groups, research areas, subject areas according to Destatis

Keywords

  • Automaition, Computational modeling, Industrial control, Complexity theory, Computer architecture, Internet of Things