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IoT-based diagnostic assistance for energy optimization of air conditioning facilities
Rostock University, Rostock, Germany.
Rostock University, Rostock, Germany.
Jönköping University, School of Engineering, JTH, Department of Computer Science and Informatics. Rostock University, Rostock, Germany.ORCID iD: 0000-0002-7431-8412
2023 (English)In: Procedia Computer Science: Volume 219 / [ed] R. Martinho, R. Rijo & M. Manuela, Elsevier, 2023, Vol. 219, p. 416-421Conference paper, Published paper (Refereed)
Abstract [en]

The Internet of Things (IoT) is a significant trend in the field of information technology and encourages the implementation of cyber-physical systems, smart connected products, and new business models. Many enterprises struggle to create business value from IoT technology because they have difficulties defining their organizational integration. Model-driven engineering (MDE) is considered an effective technique to address the complexity of IoT application development. Existing approaches focus on requirements from a technical perspective and exhibit a lack of integration with organizational and business model aspects. The paper proposes a modeling approach and a tool to support the development and configuration of IoT solutions in the example of air conditioning and cleanroom technologies (ACT) facilities. The main contributions of this paper are (a) an architecture for the IoT application, (b) a modeling language and tool support for IoT modeling, and (c) the expected practical benefits in the industrial case.

Place, publisher, year, edition, pages
Elsevier, 2023. Vol. 219, p. 416-421
Series
Procedia Computer Science, ISSN 1877-0509 ; 219
Keywords [en]
Digital Transformation, Internet of Things, IoT, IT Architecture, Model-Driven Engineering, Modeling Methodologies, Air conditioning, C (programming language), Embedded systems, Modeling languages, Business value, Cybe-physical systems, Cyber-physical systems, Energy optimization, Internet of things technologies, Modeling methodology, New business models
National Category
Information Systems
Identifiers
URN: urn:nbn:se:hj:diva-63374DOI: 10.1016/j.procs.2023.01.307Scopus ID: 2-s2.0-85164248926OAI: oai:DiVA.org:hj-63374DiVA, id: diva2:1828270
Conference
2022 International Conference on ENTERprise Information Systems, CENTERIS 2022, International Conference on Project MANagement, ProjMAN 2022, and International Conference on Health and Social Care Information Systems and Technologies, HCist 2022, November 9-11 November 2022, Lisbon, Portugal
Available from: 2024-01-16 Created: 2024-01-16 Last updated: 2024-01-16Bibliographically approved

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Sandkuhl, Kurt

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