Real-time Visualization of Sensor Data in Smart Manufacturing using Lambda Architecture

Nadeem Iftikhar; Bartosz Piotr Lachowicz; Akos Madarasz; Finn Ebertsen Nordbjerg; Thorkil Baattrup-Andersen; Karsten Jeppesen

doi:10.5220/0009826302150222

Real-time Visualization of Sensor Data in Smart Manufacturing using Lambda Architecture

Nadeem Iftikhar, Bartosz Piotr Lachowicz, Akos Madarasz, Finn Ebertsen Nordbjerg, Thorkil Baattrup-Andersen, Karsten Jeppesen

Publikation: Bidrag til bog/antologi/rapport › Konferenceartikel i proceeding › peer review

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.

Originalsprog	Engelsk
Titel	Proceedings of the 9th International Conference on Data Science, Technology and Applications - Volume 1: DATA
Redaktører	Slimane Hammoudi, Christoph Quix, Jorge Bernardino
Antal sider	8
Vol/bind	1
Forlag	SCITEPRESS Digital Library
Publikationsdato	2020
Sider	215-222
ISBN (Elektronisk)	978-989-758-440-4
DOI	https://doi.org/10.5220/0009826302150222
Status	Udgivet - 2020

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Production Data Analytics
Iftikhar, N. (Projektleder), Nordbjerg, F. E. (Projektleder), Hvarregaard, B. (Projektdeltager) & Jeppesen, K. (Projektdeltager)
01/09/18 → …
Projekter: Projekt › Forskning

Citationsformater

Iftikhar, N., Lachowicz, B. P., Madarasz, A., Nordbjerg, F. E., Baattrup-Andersen, T., & Jeppesen, K. (2020). Real-time Visualization of Sensor Data in Smart Manufacturing using Lambda Architecture. I S. Hammoudi, C. Quix, & J. Bernardino (red.), Proceedings of the 9th International Conference on Data Science, Technology and Applications - Volume 1: DATA (Bind 1, s. 215-222). SCITEPRESS Digital Library. https://doi.org/10.5220/0009826302150222

Iftikhar, Nadeem ; Lachowicz, Bartosz Piotr ; Madarasz, Akos et al. / Real-time Visualization of Sensor Data in Smart Manufacturing using Lambda Architecture. Proceedings of the 9th International Conference on Data Science, Technology and Applications - Volume 1: DATA. red. / Slimane Hammoudi ; Christoph Quix ; Jorge Bernardino. Bind 1 SCITEPRESS Digital Library, 2020. s. 215-222

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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.",

author = "Nadeem Iftikhar and Lachowicz, {Bartosz Piotr} and Akos Madarasz and Nordbjerg, {Finn Ebertsen} and Thorkil Baattrup-Andersen and Karsten Jeppesen",

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Iftikhar, N, Lachowicz, BP, Madarasz, A, Nordbjerg, FE, Baattrup-Andersen, T & Jeppesen, K 2020, Real-time Visualization of Sensor Data in Smart Manufacturing using Lambda Architecture. i S Hammoudi, C Quix & J Bernardino (red), Proceedings of the 9th International Conference on Data Science, Technology and Applications - Volume 1: DATA. bind 1, SCITEPRESS Digital Library, s. 215-222. https://doi.org/10.5220/0009826302150222

Real-time Visualization of Sensor Data in Smart Manufacturing using Lambda Architecture. / Iftikhar, Nadeem; Lachowicz, Bartosz Piotr; Madarasz, Akos et al.
Proceedings of the 9th International Conference on Data Science, Technology and Applications - Volume 1: DATA. red. / Slimane Hammoudi; Christoph Quix; Jorge Bernardino. Bind 1 SCITEPRESS Digital Library, 2020. s. 215-222.

Publikation: Bidrag til bog/antologi/rapport › Konferenceartikel i proceeding › peer review

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AU - Baattrup-Andersen, Thorkil

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AB - 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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Iftikhar N, Lachowicz BP, Madarasz A, Nordbjerg FE, Baattrup-Andersen T, Jeppesen K. Real-time Visualization of Sensor Data in Smart Manufacturing using Lambda Architecture. I Hammoudi S, Quix C, Bernardino J, red., Proceedings of the 9th International Conference on Data Science, Technology and Applications - Volume 1: DATA. Bind 1. SCITEPRESS Digital Library. 2020. s. 215-222 doi: 10.5220/0009826302150222

Real-time Visualization of Sensor Data in Smart Manufacturing using Lambda Architecture

Abstract

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Production Data Analytics

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