Role-based visualization of industrial IoT-based systems
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Details
| Original language | English |
|---|---|
| Title of host publication | 2018 14th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, MESA 2018 |
| Publisher | IEEE |
| Number of pages | 8 |
| ISBN (Print) | 9781538646434 |
| DOIs | |
| Publication status | Published - 27 Aug 2018 |
| Publication type | A4 Article in a conference publication |
| Event | IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications - Oulu, Finland Duration: 2 Jul 2018 → 4 Jul 2018 |
Conference
| Conference | IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications |
|---|---|
| Country | Finland |
| City | Oulu |
| Period | 2/07/18 → 4/07/18 |
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.
ASJC Scopus subject areas
Keywords
- Data Collection, Information Visualization, Internet of Things (IoT)