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Consistent Contextualisation of Process and Quality Information for Machining Processes

Fertig, Alexander ; Kohn, Oliver ; Brockhaus, Benjamin ; Weigold, Matthias
eds.: Behrens, Bernd-Arno ; Brosius, Alexander ; Drossel, Welf-Guntram ; Hintze, Wolfgang ; Ihlenfeldt, Steffen ; Nyhuis, Peter (2021)
Consistent Contextualisation of Process and Quality Information for Machining Processes.
doi: 10.1007/978-3-030-78424-9_22
Conference or Workshop Item, Bibliographie

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.

Item Type: Conference or Workshop Item
Erschienen: 2021
Editors: Behrens, Bernd-Arno ; Brosius, Alexander ; Drossel, Welf-Guntram ; Hintze, Wolfgang ; Ihlenfeldt, Steffen ; Nyhuis, Peter
Creators: Fertig, Alexander ; Kohn, Oliver ; Brockhaus, Benjamin ; Weigold, Matthias
Type of entry: Bibliographie
Title: Consistent Contextualisation of Process and Quality Information for Machining Processes
Language: English
Date: 20 September 2021
Place of Publication: Berlin
Publisher: Springer
Book Title: Production at the Leading Edge of Technology - Proceedings of the 11th Congress of the German Academic Association for Production Technology (WGP), Dresden, September 2021
Series: Lecture Notes in Production Engineering
DOI: 10.1007/978-3-030-78424-9_22
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.

Uncontrolled Keywords: Process monitoring, Data management, Machining
Divisions: 16 Department of Mechanical Engineering
16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW)
16 Department of Mechanical Engineering > Institute of Production Technology and Machine Tools (PTW) > TEC Manufacturing Technology
Date Deposited: 21 Sep 2021 05:59
Last Modified: 28 Apr 2022 06:29
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