Adaptive Industrial IoT gateway using kafka streaming platform
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
New approaches are regularly developed, but their implementation in existing environments is a challenge, and Industry 4.0 is not different. In this paper, we present our approach towards a modular and adaptable gateway to retrofit brownfield installation for use in the context of Industrial IoT. The aim is to close the gap between existing operational technology installation and modern IT infrastructure. To fulfil time constraints and flexibility requirements, a highly decoupled architecture employing a streaming platform is proposed. For the data to be useful for downstream processes, it is annotated with means of Industry 4.0 modelling standards. The loosely coupled gateway presented by us is intended to help make existing installations Industry 4.0 capable without having to re-engineer them directly.
Details
Original language | English |
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Title of host publication | 2022 IEEE 20th International Conference on Industrial Informatics (INDIN) |
Publisher | IEEE |
Pages | 600-605 |
Number of pages | 6 |
ISBN (electronic) | 9781728175683 |
ISBN (print) | 978-1-7281-7569-0 |
Publication status | Published - 28 Jul 2022 |
Peer-reviewed | Yes |
Conference
Title | 2022 IEEE 20th International Conference on Industrial Informatics |
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Abbreviated title | INDIN 2022 |
Conference number | 20 |
Duration | 25 - 28 July 2022 |
Website | |
Location | online |
City | Perth |
Country | Australia |
External IDs
Scopus | 85145781318 |
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ORCID | /0009-0000-2432-5529/work/153655008 |
Keywords
Keywords
- Fourth Industrial Revolution, Informatics, Jitter, Logic gates, Real-time systems, Software, Time factors