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Role-based visualization of industrial IoT-based systems

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

Details

Original languageEnglish
Title of host publication2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2018
PublisherIEEE
Number of pages8
ISBN (Print)9781538646434
DOIs
Publication statusPublished - 27 Aug 2018
Publication typeA4 Article in a conference publication
EventIEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications - Oulu, Finland
Duration: 2 Jul 20184 Jul 2018

Conference

ConferenceIEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications
CountryFinland
CityOulu
Period2/07/184/07/18

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 Seinäjoki University of Applied Sciences(SeAMK) and results have been validated.

Keywords

  • Data Collection, Information Visualization, Internet of Things (IoT)

Publication forum classification

Field of science, Statistics Finland