Big und Smart Data - Herausforderungen in der Prozessindustrie

Von Jens Folmer; Iris Kirchen; Emanuel Trunzer; Birgit Vogel-Heuser; Thorsten Pötter; Markus Graube; Sebastian Heinze; Leon Urbas; Martin Atzmüller; David Amu

Big und Smart Data - Herausforderungen in der Prozessindustrie

Translated title of the contribution: Big and smart data - Challenges in the process industries

Von Jens Folmer
, Iris Kirchen
, Emanuel Trunzer
, Birgit Vogel-Heuser
, Thorsten Pötter
, Markus Graube
, Sebastian Heinze
, Leon Urbas
, Martin Atzmüller
, David Amu

Chair of Automation and Information Systems

Research output: Contribution to specialist publication › Article

Abstract

In process industries, large amounts of heterogeneous information are generated. However, the overall system is too complex and dynamic to be fully described in a formal way. The projects Sidap and FEE investigate the use of big data and smart data in this domain. Though the projects have different focuses, they face a number of similar challenges. These challenges are summarized and ways are suggested to overcome them, like establishing a basis for the common understanding of data or the enrichment of data with additional meta-information.

Translated title of the contribution	Big and smart data - Challenges in the process industries
Original language	German
Pages	68-78
Number of pages	11
Volume	66
No	2
Specialist publication	Gaswaerme International
State	Published - Apr 2017

Cite this

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title = "Big und Smart Data - Herausforderungen in der Prozessindustrie",

abstract = "In process industries, large amounts of heterogeneous information are generated. However, the overall system is too complex and dynamic to be fully described in a formal way. The projects Sidap and FEE investigate the use of big data and smart data in this domain. Though the projects have different focuses, they face a number of similar challenges. These challenges are summarized and ways are suggested to overcome them, like establishing a basis for the common understanding of data or the enrichment of data with additional meta-information.",

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T1 - Big und Smart Data - Herausforderungen in der Prozessindustrie

AU - Folmer, Von Jens

AU - Kirchen, Iris

AU - Trunzer, Emanuel

AU - Vogel-Heuser, Birgit

AU - Pötter, Thorsten

AU - Graube, Markus

AU - Heinze, Sebastian

AU - Urbas, Leon

AU - Atzmüller, Martin

AU - Amu, David

PY - 2017/4

Y1 - 2017/4

N2 - In process industries, large amounts of heterogeneous information are generated. However, the overall system is too complex and dynamic to be fully described in a formal way. The projects Sidap and FEE investigate the use of big data and smart data in this domain. Though the projects have different focuses, they face a number of similar challenges. These challenges are summarized and ways are suggested to overcome them, like establishing a basis for the common understanding of data or the enrichment of data with additional meta-information.

AB - In process industries, large amounts of heterogeneous information are generated. However, the overall system is too complex and dynamic to be fully described in a formal way. The projects Sidap and FEE investigate the use of big data and smart data in this domain. Though the projects have different focuses, they face a number of similar challenges. These challenges are summarized and ways are suggested to overcome them, like establishing a basis for the common understanding of data or the enrichment of data with additional meta-information.

UR - https://www.scopus.com/pages/publications/85019743198

M3 - Artikel

AN - SCOPUS:85019743198

SN - 0020-9384

VL - 66

SP - 68

EP - 78

JO - Gaswaerme International

JF - Gaswaerme International

ER -

Big und Smart Data - Herausforderungen in der Prozessindustrie

Abstract

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