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Authors: Chris Schoeberlein ; André Sewohl ; Holger Schlegel and Matthias Putz

Affiliation: Institute of Machine Tools and Production Processes, Chemnitz University of Technology, Reichenhainer Straße 70, 09126 Chemnitz and Germany

ISBN: 978-989-758-321-6

Keyword(s): Industry 4.0, Machine Tool, Computerized Numerical Control, Drive Data, Monitoring.

Related Ontology Subjects/Areas/Topics: Control and Supervision Systems ; Industrial Networks and Automation ; Informatics in Control, Automation and Robotics ; Intelligent Components for Control ; Robotics and Automation ; Signal Processing, Sensors, Systems Modeling and Control ; System Identification

Abstract: In the field of machine tools, a continuous trend towards automated and networked production systems is recognizable in order to cope with the autonomous and self-organized systems promoted within Industry 4.0. For this purpose, large quantities of partially unstructured data exist within the machine-internal control system. The informational value of this data can be enhanced by suitable algorithms and utilized for multivalent applications. In addition to the information of the computerized numerical control such as feed rate or axis positions the drive systems of machine tools can be consulted. The major advantage of the drive internal information is due to the high temporal resolution of the available data, which is significantly above the interpolation cycle of modern CNC (e.g. Siemens 840D sl). However, a major obstacle is the access to this information, since most of the parameters are processed directly in the drive internal control loops and therefore not transmitted to the su perordinate control. Within the paper, a practical solution for the automatic acquisition and processing of drive data is presented. Based on a machine internal data management system in combination with an industrial embedded system the extraction and aggregation of control loop data in the sense of so-called Smart Data Services is realized. (More)

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Paper citation in several formats:
Schoeberlein, C.; Sewohl, A.; Schlegel, H. and Putz, M. (2018). Data Management System for Drive-based Smart Data Services - A Pratical Approach for Machine-Internal Monitoring Applications.In Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-321-6, pages 389-395. DOI: 10.5220/0006882703990405

@conference{icinco18,
author={Chris Schoeberlein. and André Sewohl. and Holger Schlegel. and Matthias Putz.},
title={Data Management System for Drive-based Smart Data Services - A Pratical Approach for Machine-Internal Monitoring Applications},
booktitle={Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2018},
pages={389-395},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006882703990405},
isbn={978-989-758-321-6},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - Data Management System for Drive-based Smart Data Services - A Pratical Approach for Machine-Internal Monitoring Applications
SN - 978-989-758-321-6
AU - Schoeberlein, C.
AU - Sewohl, A.
AU - Schlegel, H.
AU - Putz, M.
PY - 2018
SP - 389
EP - 395
DO - 10.5220/0006882703990405

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