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Role-based visualization of industrial IoT-based systems

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Role-based visualization of industrial IoT-based systems. / Mahmoodpour, Mehdi; Lobov, Andrei; Lanz, Minna; Mäkelä, Petteri; Rundas, Niko.

2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2018. IEEE, 2018. 8449183.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Mahmoodpour, M, Lobov, A, Lanz, M, Mäkelä, P & Rundas, N 2018, Role-based visualization of industrial IoT-based systems. in 2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2018., 8449183, IEEE, IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, Oulu, Finland, 2/07/18. https://doi.org/10.1109/MESA.2018.8449183

APA

Mahmoodpour, M., Lobov, A., Lanz, M., Mäkelä, P., & Rundas, N. (2018). Role-based visualization of industrial IoT-based systems. In 2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2018 [8449183] IEEE. https://doi.org/10.1109/MESA.2018.8449183

Vancouver

Mahmoodpour M, Lobov A, Lanz M, Mäkelä P, Rundas N. Role-based visualization of industrial IoT-based systems. In 2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2018. IEEE. 2018. 8449183 https://doi.org/10.1109/MESA.2018.8449183

Author

Mahmoodpour, Mehdi ; Lobov, Andrei ; Lanz, Minna ; Mäkelä, Petteri ; Rundas, Niko. / Role-based visualization of industrial IoT-based systems. 2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2018. IEEE, 2018.

Bibtex - Download

@inproceedings{53e10b2bc4b54c6aaed7e2bfb6c32fac,
title = "Role-based visualization of industrial IoT-based systems",
abstract = "The competition among manufacturers in the global markets calls for the enhancement of the agility and performance of the production process and the quality of products. As a result, the production systems should be designed in such a way to provide decision makers with visibility and analytics. To fulfill these objectives, the development of information systems in manufacturing industries has intensified in the past few years. On the other hand, the volume of data which is being generated on the shop floor is rising. To improve the efficiency of manufacturing processes, this amount of data should be analyzed by decision makers. To cope with this challenge, advanced visualization is needed to assist users to gain insight into data and make effective decisions faster. This paper describes an approach for building a role-based visualization of industrial IoT. We propose an extendible architecture that anticipates the future growth of data. By using the IoT platform introduced in this paper, selected Key Performance Indicators(KPI) can be monitored by different levels of enterprise. The prototype IoT dashboard has been implemented for a pilot production line 'Festo didactic training line' located in Sein{\"a}joki University of Applied Sciences(SeAMK) and results have been validated.",
keywords = "Data Collection, Information Visualization, Internet of Things (IoT)",
author = "Mehdi Mahmoodpour and Andrei Lobov and Minna Lanz and Petteri M{\"a}kel{\"a} and Niko Rundas",
year = "2018",
month = "8",
day = "27",
doi = "10.1109/MESA.2018.8449183",
language = "English",
isbn = "9781538646434",
booktitle = "2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2018",
publisher = "IEEE",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Role-based visualization of industrial IoT-based systems

AU - Mahmoodpour, Mehdi

AU - Lobov, Andrei

AU - Lanz, Minna

AU - Mäkelä, Petteri

AU - Rundas, Niko

PY - 2018/8/27

Y1 - 2018/8/27

N2 - The competition among manufacturers in the global markets calls for the enhancement of the agility and performance of the production process and the quality of products. As a result, the production systems should be designed in such a way to provide decision makers with visibility and analytics. To fulfill these objectives, the development of information systems in manufacturing industries has intensified in the past few years. On the other hand, the volume of data which is being generated on the shop floor is rising. To improve the efficiency of manufacturing processes, this amount of data should be analyzed by decision makers. To cope with this challenge, advanced visualization is needed to assist users to gain insight into data and make effective decisions faster. This paper describes an approach for building a role-based visualization of industrial IoT. We propose an extendible architecture that anticipates the future growth of data. By using the IoT platform introduced in this paper, selected Key Performance Indicators(KPI) can be monitored by different levels of enterprise. The prototype IoT dashboard has been implemented for a pilot production line 'Festo didactic training line' located in Seinäjoki University of Applied Sciences(SeAMK) and results have been validated.

AB - The competition among manufacturers in the global markets calls for the enhancement of the agility and performance of the production process and the quality of products. As a result, the production systems should be designed in such a way to provide decision makers with visibility and analytics. To fulfill these objectives, the development of information systems in manufacturing industries has intensified in the past few years. On the other hand, the volume of data which is being generated on the shop floor is rising. To improve the efficiency of manufacturing processes, this amount of data should be analyzed by decision makers. To cope with this challenge, advanced visualization is needed to assist users to gain insight into data and make effective decisions faster. This paper describes an approach for building a role-based visualization of industrial IoT. We propose an extendible architecture that anticipates the future growth of data. By using the IoT platform introduced in this paper, selected Key Performance Indicators(KPI) can be monitored by different levels of enterprise. The prototype IoT dashboard has been implemented for a pilot production line 'Festo didactic training line' located in Seinäjoki University of Applied Sciences(SeAMK) and results have been validated.

KW - Data Collection

KW - Information Visualization

KW - Internet of Things (IoT)

U2 - 10.1109/MESA.2018.8449183

DO - 10.1109/MESA.2018.8449183

M3 - Conference contribution

SN - 9781538646434

BT - 2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2018

PB - IEEE

ER -