EI2N 2022 Abstracts


Area 1 - 16th IFIP/IFAC International Workshop on Enterprise Integration, Interoperability And Networking

Full Papers
Paper Nr: 2
Title:

Semantic Integration Patterns for Industry 4.0

Authors:

Felix Strohmeier, Georg Güntner, Dietmar Glachs and Reinhard Mayr

Abstract: In the manufacturing industry, digital twins have emerged as a key technological concept for the creation and use of digital representations of assets and their associated processes. In emerging networked manufacturing systems, digital twins of machines or components do not reside within one specific application, platform or edge node, but they ideally consume and deliver information (e.g. sensor data, master data) to all connected applications in the operational systems. This results in complex integration requirements for both, the assets and the applications. Starting from an overview of industrial information models, the paper describes a recent research approach towards semantic interoperability concepts for data-driven digital twin in manufacturing systems. It gives an architectural overview of a platform for the integration of operational management systems and connected assets based on semantic integration patterns. The paper describes the initial concepts of the underlying research project “i-Twin”.
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Paper Nr: 3
Title:

Cyber-Physical-Social System (CPSS) Architecture Framework and Methodology

Authors:

Qing Li, Zhixiong Fang and Mengjin Qu

Abstract: With the development of the Internet of things, mobile Internet, cloud computing and other emerging information technologies, as well as the development of a new generation of artificial intelligence represented by big data and machine learning, the cyber physical system (CPS) formed by the integration of intelligent systems and physical systems is increasingly showing the characteristics of self-evolution and self-growth like human society. Although human is still the most important and leading part in the technology-society system under the current technical conditions, a new ternary integrated collaborative model is being formed between human and intelligent system and physical system, and more complex integration logic is being brought. This paper studies the architecture framework and methodology of ternary integrated cyber physical social system (CPSS), which provides a framework and method for analysis and design of this complex system of systems.
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Paper Nr: 4
Title:

Semantic Interoperability in Industrial Maintenance-related Applications: Multiple Ontologies Integration towards a Unified BFO-compliant Taxonomy

Authors:

Chiara Franciosi, Adalberto Polenghi, Mario Lezoche, Alexandre Voisin, Irene Roda and Marco Macchi

Abstract: Maintenance is an essential process for guaranteeing the reliability and availability of physical assets towards sustainable performance. The way maintenance could effectively impact on operations management highly relies on available data, whose volume and variety are increasing, challenging how they are stored and processed within an organization. To tackle this issue, ontology engineering seeks for guaranteeing semantic and technical interoperability for shared underlying meaning of concepts and consistent data formats. Despite the growing adoption of ontologies for industrial maintenance, some pitfalls may be envisaged by scientific and industrial practice, specifically referring to the development of multiple non-compatible ontologies that cannot be reused. Therefore, the goal of this research work is to promote semantic interoperability in industrial-maintenance related application. This is achieved by reviewing existing ontologies, later integrated and aligned, to realise a BFO (Basic Formal Ontology)-compliant taxonomy for maintenance, including physical decomposition of systems and maintenance processes. Hence, this research attempts a first step towards a unified taxonomy that, then, is the ground on which ontologies could be built upon so to be consistent each other. In the long run, semantic-based digital twin, referred to as cognitive digital twin, may be consistently established to improve sustainable performance of production systems.
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Short Papers
Paper Nr: 1
Title:

Digitalized Cross-organizational Interoperability in Industrial Business Ecosystems: Implications and Models for Process Industry

Authors:

Petri Kannisto and David Hästbacka

Abstract: Interoperability between industrial organizations is a persistent challenge, particularly as the goal is to enable digitalized communications between information and communications technology (ICT) systems operated by different parties. This paper studies how the current interoperability tools and models support the foundations of digitalized business-to-business communication. While the focus area is plant lifecycle information in process industry, covering investment projects as well as operations and maintenance (O&M), the problems can be generalized to all manufacturing. The results of this study suggest that the current interoperability models and standards offer little support for building cross-organizational interoperability with digitalized tools. Thus, there should be consortia that span the enterprises in process industry, aiming to develop the architecture of collaborative business networks that fulfil sustainable interoperability and the related governance. To accomplish this goal, this paper shows what elements exist and what are lacking, mapping these to European Interoperability Framework (EIF).
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Paper Nr: 5
Title:

Multi-level Risk Modelling for Interoperability of Risk Information

Authors:

Yuhong Fu, Georg Grossmann, Karamjit Kaur, Matt Selway and Markus Stumptner

Abstract: The digital transformation driven by the rise of Industry 4.0 leads to an increase use of data standards and information systems for management and decision making. With the emerging of new software ecosystems, industries are facing heterogeneous systems and a lack of interoperability for information including risk information. The lack of interoperability in risk management leads again to a slow and often incorrect information transfer, which affects the timely response to risks. In this paper, we propose a new risk modelling approach that combines existing multi-level modelling and multi-view modelling approaches to structure and hence simplify interoperability.
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