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Authors: Nadeem Iftikhar 1 ; Bartosz Lachowicz 1 ; Akos Madarasz 1 ; Finn Nordbjerg 1 ; Thorkil Baattrup-Andersen 2 and Karsten Jeppesen 1

Affiliations: 1 University College of Northern Denmark, Aalborg 9200, Denmark ; 2 Dolle A/S, Frøstrup 7741, Denmark

Keyword(s): Industry 4.0, Real-time Visualization, Sensor Data, Smart Manufacturing, Lambda Architecture, Machine Learning.

Abstract: Smart manufacturing technologies (Industry 4.0) as solutions to enhance productivity and improve efficiency are a priority to manufacturing industries worldwide. Such solutions have the ability to extract, integrate, analyze and visualize sensor and data from other legacy systems in order to enhance the operational performance. This paper proposes a solution to the challenge of real-time analysis and visualization of sensor and ERP data. Dynamic visualization is achieved using a machine learning approach. The combination of real-time visualization and machine learning allows for early detection and prevention of undesirable situations or outcomes. The prototype system has so far been tested by a smart manufacturing company with promising results.

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Paper citation in several formats:
Iftikhar, N.; Lachowicz, B.; Madarasz, A.; Nordbjerg, F.; Baattrup-Andersen, T. and Jeppesen, K. (2020). Real-time Visualization of Sensor Data in Smart Manufacturing using Lambda Architecture. In Proceedings of the 9th International Conference on Data Science, Technology and Applications - DATA, ISBN 978-989-758-440-4; ISSN 2184-285X, pages 215-222. DOI: 10.5220/0009826302150222

@conference{data20,
author={Nadeem Iftikhar. and Bartosz Lachowicz. and Akos Madarasz. and Finn Nordbjerg. and Thorkil Baattrup{-}Andersen. and Karsten Jeppesen.},
title={Real-time Visualization of Sensor Data in Smart Manufacturing using Lambda Architecture},
booktitle={Proceedings of the 9th International Conference on Data Science, Technology and Applications - DATA,},
year={2020},
pages={215-222},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009826302150222},
isbn={978-989-758-440-4},
issn={2184-285X},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Data Science, Technology and Applications - DATA,
TI - Real-time Visualization of Sensor Data in Smart Manufacturing using Lambda Architecture
SN - 978-989-758-440-4
IS - 2184-285X
AU - Iftikhar, N.
AU - Lachowicz, B.
AU - Madarasz, A.
AU - Nordbjerg, F.
AU - Baattrup-Andersen, T.
AU - Jeppesen, K.
PY - 2020
SP - 215
EP - 222
DO - 10.5220/0009826302150222

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