Modern process visualization techniques in process data management systems

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Kostiainen, Jukka Boyadzhiev, Dimitar 2017-06-13T07:27:18Z 2017-06-13T07:27:18Z 2017-05-22
dc.description.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. en
dc.format.extent 6+73
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.title Modern process visualization techniques in process data management systems en
dc.type G2 Pro gradu, diplomityö fi Sähkötekniikan korkeakoulu fi
dc.subject.keyword process data visualization en
dc.subject.keyword industrial internet of things en
dc.subject.keyword 3D modeling en
dc.subject.keyword 3D interaction en
dc.identifier.urn URN:NBN:fi:aalto-201706135441
dc.programme.major Control, Robotics and Autonomous Systems fi
dc.programme.mcode ELEC3025 fi
dc.type.ontasot Master's thesis en
dc.type.ontasot Diplomityö fi
dc.contributor.supervisor Vyatkin, Valeriy
dc.programme AEE - Master’s Programme in Automation and Electrical Engineering (TS2013) fi
dc.ethesisid Aalto 9573
dc.location P1 fi

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