Modern process visualization techniques in process data management systems

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master_Boyadzhiev_Dimitar_2017.pdf (5.26 MB)

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Sähkötekniikan korkeakoulu | Master's thesis
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Date

2017-05-22

Department

Major/Subject

Control, Robotics and Autonomous Systems

Mcode

ELEC3025

Degree programme

AEE - Master’s Programme in Automation and Electrical Engineering (TS2013)

Language

en

Pages

6+73

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Abstract

Tremendous advancements in sensors, communication networks, mobile devices and cloud-based technologies along with their decreasing prices have enabled the Industrial Internet of Things. The two major consequences observed are the exponential growth of collected process data in industrial processes and the need for visualizing it on mobile devices. These have created a demand for new, more efficient and more powerful techniques to gain value from the larger data sets that work seamlessly across multiple platforms. One such technique is visualizing process data in three dimensional space which is implemented in this Master’s thesis. 3D visualization was demonstrated to offer immense opportunities to industries by enhancing data interactivity and enabling the partitioning of process data into multiple layers. The biggest challenge in the implementation of this technique was obtaining 3D models of the manufacturing equipment, thus indicating the need to create and provide 3D models as a part of the package.

Description

Supervisor

Vyatkin, Valeriy

Thesis advisor

Kostiainen, Jukka

Keywords

process data visualization, industrial internet of things, 3D modeling, 3D interaction

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https://urn.fi/URN:NBN:fi:aalto-201706135441

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[dipl] Sähkötekniikan korkeakoulu / ELEC