Towards a Data Lake for High Pressure Die Casting

Rudack, Maximilian; Rath, Michael; Vroomen, Uwe; Bührig–Polaczek, Andreas

doi:10.3390/met12020349

“…However, the gathering of data within a relatively short time is an issue for which several solutions have already been suggested and tested in smart manufacturing or other contexts, not the least in this present Special Issue [329]. Similarly critical is the need to achieve the following:…”

Section: Gathering Data and Managing Its Flow Storage And Accessibilitymentioning

confidence: 96%

“…Data storage as employed in the current setup, which is using the MinIO solution for the highperformance unstructured object storage of data lake type, is generally capable of handling such information. The study shifts the topic of analyzing the data to future investigations, focusing at this stage on the provision of a proven data management architecture that meets the needs of the HPDC process [329].…”

Section: Contributions To the Special Issuementioning

confidence: 99%

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Evolving the Digital Industrial Infrastructure for Production: Steps Taken and the Road Ahead

Pennekamp,

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Bergs

et al. 2023

Interdisciplinary Excellence Accelerator Series

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The Internet of Production (IoP) leverages concepts such as digital shadows, data lakes, and a World Wide Lab (WWL) to advance today’s production. Consequently, it requires a technical infrastructure that can support the agile deployment of these concepts and corresponding high-level applications, which, e.g., demand the processing of massive data in motion and at rest. As such, key research aspects are the support for low-latency control loops, concepts on scalable data stream processing, deployable information security, and semantically rich and efficient long-term storage. In particular, such an infrastructure cannot continue to be limited to machines and sensors, but additionally needs to encompass networked environments: production cells, edge computing, and location-independent cloud infrastructures. Finally, in light of the envisioned WWL, i.e., the interconnection of production sites, the technical infrastructure must be advanced to support secure and privacy-preserving industrial collaboration. To evolve today’s production sites and lay the infrastructural foundation for the IoP, we identify five broad streams of research: (1) adapting data and stream processing to heterogeneous data from distributed sources, (2) ensuring data interoperability between systems and production sites, (3) exchanging and sharing data with different stakeholders, (4) network security approaches addressing the risks of increasing interconnectivity, and (5) security architectures to enable secure and privacy-preserving industrial collaboration. With our research, we evolve the underlying infrastructure from isolated, sparsely networked production sites toward an architecture that supports high-level applications and sophisticated digital shadows while facilitating the transition toward a WWL.

show abstract

Evolving the Digital Industrial Infrastructure for Production: Steps Taken and the Road Ahead

Pennekamp,

Belova,

Bergs

et al. 2023

Interdisciplinary Excellence Accelerator Series

1

0

View full text Add to dashboard Cite

The Internet of Production (IoP) leverages concepts such as digital shadows, data lakes, and a World Wide Lab (WWL) to advance today’s production. Consequently, it requires a technical infrastructure that can support the agile deployment of these concepts and corresponding high-level applications, which, e.g., demand the processing of massive data in motion and at rest. As such, key research aspects are the support for low-latency control loops, concepts on scalable data stream processing, deployable information security, and semantically rich and efficient long-term storage. In particular, such an infrastructure cannot continue to be limited to machines and sensors, but additionally needs to encompass networked environments: production cells, edge computing, and location-independent cloud infrastructures. Finally, in light of the envisioned WWL, i.e., the interconnection of production sites, the technical infrastructure must be advanced to support secure and privacy-preserving industrial collaboration. To evolve today’s production sites and lay the infrastructural foundation for the IoP, we identify five broad streams of research: (1) adapting data and stream processing to heterogeneous data from distributed sources, (2) ensuring data interoperability between systems and production sites, (3) exchanging and sharing data with different stakeholders, (4) network security approaches addressing the risks of increasing interconnectivity, and (5) security architectures to enable secure and privacy-preserving industrial collaboration. With our research, we evolve the underlying infrastructure from isolated, sparsely networked production sites toward an architecture that supports high-level applications and sophisticated digital shadows while facilitating the transition toward a WWL.

show abstract

Towards a Data Lake for High Pressure Die Casting

Cited by 7 publications

References 10 publications

Advances in Metal Casting Technology: A Review of State of the Art, Challenges and Trends—Part II: Technologies New and Revived

Advances in Metal Casting Technology: A Review of State of the Art, Challenges and Trends—Part II: Technologies New and Revived

Evolving the Digital Industrial Infrastructure for Production: Steps Taken and the Road Ahead

Evolving the Digital Industrial Infrastructure for Production: Steps Taken and the Road Ahead

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