Fertig, Alexander ; Kohn, Oliver ; Brockhaus, Benjamin ; Weigold, Matthias
Behrens, Bernd-Arno ; Brosius, Alexander ; Drossel, Welf-Guntram ; Hintze, Wolfgang ; Ihlenfeldt, Steffen ; Nyhuis, Peter (eds.) (2021):
Consistent Contextualisation of Process and Quality Information for Machining Processes.
In: Lecture Notes in Production Engineering, In: Production at the Leading Edge of Technology - Proceedings of the 11th Congress of the German Academic Association for Production Technology (WGP), Dresden, September 2021, pp. 195-202,
Berlin, Springer, ISBN 978-3-030-78423-2,
DOI: 10.1007/978-3-030-78424-9_22,
[Conference or Workshop Item]

Abstract

Advances in digitisation bring new potentials for process analytics and optimisation inmachining. New edge-level data acquisition systems provide highfrequent data streams frommachine tools. This raw data needs to be preprocessed, structured, and enriched with domain-specific context to become usable information and ready for analyses. Generally, this means challenges for data processing and data management. Due to missing established technologies in machining production, leading to high effort for data analysis, most of the information from the production processes is lost today instead of being stored in a structured way. The special focus within this paper is on the context-specific preparation and processing of the data streams. A concept has been implemented, which allows the fusion and storage of internal machine tool data with additional external sensor data streams and metadata of the production process. Additional data from up- or downstream processes can be joined automatically into the presented data structure.

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