Abstract
The discussion paper “I4.0 language: vocabulary, message structure and semantic interaction protocols of the I4.0 language”, published by the working group “Semantics and Interaction of Industry 4.0 Components” of the GMA, also known as UAG of the AG 1 of the platform Industry 4.0 (I4.0), presented a concept for the language between I4.0 components. The main conclusion is: The increasing networking and cooperation of components enable new forms of organization and control. A clear understanding of machine interactions paves self-organized and self-optimized value creation in I4.0. Agent-based systems are an option for the realization of such I4.0 architectures. Due to their features, software agents are particularly well suited for representing I4.0 components and enabling I4.0 interactions. Agents are not only able to understand the necessary machine languages, but also the essential mechanisms for self-organization and self-optimization in value creation. The paper focuses on I4.0 scenarios described by the Platform I4.0 that describes challenges for the industry towards its digital future and demonstrates how emerging challenges in the area of I4.0 can be met with the help of agent-based systems.
Zusammenfassung
Das Diskussionspapier „I4.0-Sprache: Vokabular, Nachrichtenstruktur und semantische Interaktionsprotokolle der I4.0-Sprache”, veröffentlicht von der Arbeitsgruppe „Semantik und Interaktion von Industrie 4.0-Komponenten” der GMA, auch bekannt als UAG der AG 1 der Plattform Industrie 4.0 (I4.0), präsentierte ein Konzept für die Sprache zwischen I4.0-Komponenten. Die wichtigste Schlussfolgerung lautet: Die steigende Vernetzung und Kooperation von Komponenten ermöglicht neue Organisations- und Steuerungsformen. Selbstorganisierte und selbstoptimierte Wertschöpfung in I4.0 wird ermöglicht durch eine eindeutige Sprache der Maschinen. Agentensysteme sind dabei eine Möglichkeit zur Realisierung von I4.0-Architekturen. Aufgrund ihrer Eigenschaften eignen sich Softwareagenten besonders gut, um I4.0-Komponenten darzustellen und I4.0-Interaktionen zu ermöglichen. Agenten sind nicht nur in der Lage, die notwendigen Maschinensprachen zu verstehen, sondern auch die wesentlichen Mechanismen zur Selbstorganisation und Selbstoptimierung in der Wertschöpfung. Dieser Beitrag konzentriert sich auf I4.0-Szenarien und deren Herausforderungen an die Industrie und zeigt, wie diese mit Hilfe agentenbasierter Systeme bewältigt werden können.
About the authors
Prof. Dr.-Ing. Birgit Vogel-Heuser is a full professor and director of the Institute of Automation and Information Systems at the Technical University of Munich. Her main research interests are systems engineering, software engineering, and modeling of distributed and reliable embedded systems. She is the coordinator of the Collaborative Research Centre (CRC) 768: Managing cycles in innovation processes – integrated development of product-service systems based on technical products, member of Acatech, chair of the VDI/VDE working group on industrial agents and vice chair of the IFAC TC 3.1 computers in control.
Matthias Seitz, M.Sc. graduated in Mechanical Engineering at Technical University of Munich in 2018 and is scientific staff at the institute of Automation and Information Systems. His field of research involves the efficient deployment of control functionality within distributed production system.
Luis Alberto Cruz Salazar, M.Sc. is graduated in Electronic Engineering from the Universidad Antonio Nariño in 2011 and got master in Universidad del Cauca (2017). He is a Ph. D. candidate at the Institute of Automation and Information Systems at the Technical University of Munich. His main research interests are the design patterns for holons’ and agents’ development, as well as the Industry 4.0 by intelligent control software in Cyber-Physical Production Systems.
Felix Gehlhoff, M.Sc. (born 1988) graduated in Industrial Engineering and Business Management (Wirtschaftsingenieurwesen) in 2017. He is a research assistant at the Institute of Automation Technology at Helmut Schmidt University. His main research interests are agent-based control solutions for production and logistic systems.
Alaettin Dogan, M.Sc., MBA (born 1987) is a research assistant at the Institute of Automation Technology at Helmut Schmidt University since October 2016. His research activities focus on the development of methods for networking and securing distributed information networks in an Industry 4.0 environment.
Prof. Dr.-Ing. Alexander Fay (born 1970) is Director of the Institute of Automation Technology at Helmut Schmidt University Hamburg. His main research interests are models, methods, and tools for the efficient engineering of distributed automation systems. Prof. Fay also heads the division “Engineering and operation” in the German association for Measurement and Automation (VDI-/VDE-GMA) and is member of the Scientific Advisory Board of the German Platform “Industrie 4.0”.
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