Jump to ContentJump to Main Navigation
Show Summary Details
More options …

it - Information Technology

Methods and Applications of Informatics and Information Technology

Editor-in-Chief: Conrad, Stefan / Molitor, Paul

6 Issues per year

Online
ISSN
2196-7032
See all formats and pricing
More options …
Volume 60, Issue 3

Issues

Efficient and fast monitoring and disruption management for a pressure diecast system

Yvonne Hegenbarth / Thomas Bartsch / Gerald H. Ristow
Published Online: 2018-06-28 | DOI: https://doi.org/10.1515/itit-2017-0039

Abstract

An increasing amount of information is collected in industrial production processes. In many cases, this data is only accessible to the vendor of the machines involved in the production process. In the government-funded research project BigPro, we propose a flexible and fast Big Data platform that allows detection and reaction to incidents and anomalies in the production process in near real-time.

Keywords: Big Data; Streaming Analytics; Predictive Maintenance; Industry 4.0; Internet of Things; Incident; Reaction and Disruption Management

ACM CCS: Applied computingOperations researchIndustry and manufacturingCommand and control

References

  • 1.

    Christoph Jan Bartodziej; The Concept Industry 4.0, Springer Gabler, 2017.Google Scholar

  • 2.

    Nishant M. Sonawala, Bharat Tank and Hardik Patel; IoT Protocol based Environmental Data Monitoring, in Proceedings of the IEEE 2017 International Conference on Computing Methodologies and Communication (ICCMC), p. 1041–1045.Google Scholar

  • 3.

    Justice Opara-Martins, Reza Sahandi and Feng Tian; Critical review of vendor lock-in and its impact on adoption of cloud computing, in International Conference on Information Society (i-Society 2014), London, 2014, p. 92–97.Google Scholar

  • 4.

    M. Armbrust, A. Fox, R. Griffith, A. D. Joseph, R. Katz, A. Konwinski, G. Lee, D. Patterson, A. Rabkin, I. Stoica and M. Zaharia; Above the Clouds: A Berkeley View of Cloud Computing, in University of California, Berkeley, Technical Report No. UCB/EECS-2009-28, 2009.

  • 5.

    Pearson, S. and A. Benameur; Privacy, Security and Trust Issues Arising from Cloud Computing, in IEEE CloudCom, 2010, p. 693–702.Google Scholar

  • 6.

    Manel Houimli, Laid Kahloul and Sihem Benaoun; Formal Specification, Verification and Evaluation of the MQTT Protocol in the Internet of Things, in International Conference on Mathematics and information Technology, Adrar, Algeria, December 4–5, 2017.Google Scholar

  • 7.

    Apama from Software AG, URL: http://www.apamacommunity.com/ (last visited April 5, 2018).Google Scholar

  • 8.

    Alejandro P. Buchmann and Boris Koldehofe; Complex Event Processing. it – Information Technology 2009, Vol. 51 (5), p. 241–242.Google Scholar

  • 9.

    Esper from EsperTech, URL: http://www.espertech.com/esper (last visited April 5, 2018).Google Scholar

  • 10.

    Apache Flink©, URL: https://flink.apache.org/ (last visited April 5, 2018).Google Scholar

  • 11.

    Walter Huber; Industrie 4.0 in der Automobilindustrie, Springer Vieweg, 2016.Google Scholar

  • 12.

    Suad Sejdovic, Yvonne Hegenbarth, Gerald H. Ristow and Roland Schmidt; Proactive Disruption Management System: How not to be surprised by upcoming situations, in: Published on the 10th ACM International Conference on Distributed and Event-Based Systems (DEBS) 2016.Google Scholar

  • 13.

    Sejdovic, Suad and Kleiner, Natalja; Proactive and dynamic event-driven disruption management in the manufacturing domain, in Published on the 14th International Conference on Industrial Informatics (INDIN) 2016.Google Scholar

About the article

Yvonne Hegenbarth

Yvonne Hegenbarth successfully studied informatics (B.SC. 2016), in collaboration with the second largest German software vendor, Software AG, at the University of Applied Sciences in Darmstadt, Germany. At Software AG she is part of the research team and participated successfully in one international and one national project. Today she is continuing her studies (M.Sc.), focused on Data Science practices.

Thomas Bartsch

Thomas Bartsch is a State-Certified Engineer (since 2011). He is working in maintenance for more than 10 years. During his education to State-Certified Engineer he get some experience in automation technology in solar industry. Today he is the head of maintenance at Auto Heinen GmbH and responsible for a national research project.

Gerald H. Ristow

Gerald H. Ristow studied Physics at the University of Hannover, Germany, (Diplom 1988, Promotion 1991) and at the Georgia Institute of Technology, USA, (M.Sc. 1987). After various PostDoc positions, he joined the second largest German software vendor, Software AG, in 2001. There he worked as a consultant and many years in product development. Currently, he is part of the research team where he leads the Software AG activities in two international projects.


Received: 2017-12-21

Revised: 2018-05-03

Accepted: 2018-05-28

Published Online: 2018-06-28

Published in Print: 2018-07-01


Funding Source: Bundesministerium für Bildung und Forschung

Award identifier / Grant number: 01IS14011

This work was partly funded by the German Federal Ministry of Education and Research as part of the BigPro project (01IS14011).


Citation Information: it - Information Technology, Volume 60, Issue 3, Pages 165–171, ISSN (Online) 2196-7032, ISSN (Print) 1611-2776, DOI: https://doi.org/10.1515/itit-2017-0039.

Export Citation

© 2018 Walter de Gruyter GmbH, Berlin/Boston.Get Permission

Comments (0)

Please log in or register to comment.
Log in