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

University College of Nothern Denmark
Dolle A/S

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution to 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.

Original language	English
Title of host publication	Proceedings of the 9th International Conference on Data Science, Technology and Applications - Volume 1: DATA
Editors	Slimane Hammoudi, Christoph Quix, Jorge Bernardino
Number of pages	8
Volume	1
Publisher	SCITEPRESS Digital Library
Publication date	2020
Pages	215-222
ISBN (Electronic)	978-989-758-440-4
DOIs	https://doi.org/10.5220/0009826302150222
Publication status	Published - 2020

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10.5220/0009826302150222Licence: Unspecified

Cite this

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. In S. Hammoudi, C. Quix, & J. Bernardino (Eds.), Proceedings of the 9th International Conference on Data Science, Technology and Applications - Volume 1: DATA (Vol. 1, pp. 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. editor / Slimane Hammoudi ; Christoph Quix ; Jorge Bernardino. Vol. 1 SCITEPRESS Digital Library, 2020. pp. 215-222

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title = "Real-time Visualization of Sensor Data in Smart Manufacturing using Lambda Architecture",

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",

year = "2020",

doi = "10.5220/0009826302150222",

language = "English",

volume = "1",

pages = "215--222",

editor = "Slimane Hammoudi and Christoph Quix and Jorge Bernardino",

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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. in S Hammoudi, C Quix & J Bernardino (eds), Proceedings of the 9th International Conference on Data Science, Technology and Applications - Volume 1: DATA. vol. 1, SCITEPRESS Digital Library, pp. 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. ed. / Slimane Hammoudi; Christoph Quix; Jorge Bernardino. Vol. 1 SCITEPRESS Digital Library, 2020. p. 215-222.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution to proceeding › peer-review

TY - GEN

T1 - Real-time Visualization of Sensor Data in Smart Manufacturing using Lambda Architecture

AU - Iftikhar, Nadeem

AU - Lachowicz, Bartosz Piotr

AU - Madarasz, Akos

AU - Nordbjerg, Finn Ebertsen

AU - Baattrup-Andersen, Thorkil

AU - Jeppesen, Karsten

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N2 - 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.

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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DO - 10.5220/0009826302150222

M3 - Conference contribution to proceeding

VL - 1

SP - 215

EP - 222

BT - Proceedings of the 9th International Conference on Data Science, Technology and Applications - Volume 1: DATA

A2 - Hammoudi, Slimane

A2 - Quix, Christoph

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PB - SCITEPRESS Digital Library

ER -

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. In Hammoudi S, Quix C, Bernardino J, editors, Proceedings of the 9th International Conference on Data Science, Technology and Applications - Volume 1: DATA. Vol. 1. SCITEPRESS Digital Library. 2020. p. 215-222 doi: 10.5220/0009826302150222

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

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

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Production Data Analytics

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