A Survey of Internet of Things and Big Data integrated Solutions for Industrie 4.0

The industrial internet of things (IIoT) is growing at an exponential rate generating massive amounts of industrial data. This data must be leveraged to support business and operational goals. As a result, there is an urgent need for adopting big data technologies to enable data analytics in industr...

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Vydané v:Proceedings (IEEE International Conference on Emerging Technologies and Factory Automation) Ročník 1; s. 1417 - 1424
Hlavní autori: Al-Gumaei, Khaled, Schuba, Kornelia, Friesen, Andrej, Heymann, Sascha, Pieper, Carsten, Pethig, Florian, Schriegel, Sebastian
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 01.09.2018
Predmet:
Automation
Big Data
Cloud computing
Computational modeling
Industrial Automation
Industrial IoT (IIoT)
Industrie 4.0
Industries
Internet of Things
Internet of Things (IoT)
Protocols
ISSN:1946-0759
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Abstract The industrial internet of things (IIoT) is growing at an exponential rate generating massive amounts of industrial data. This data must be leveraged to support business and operational goals. As a result, there is an urgent need for adopting big data technologies to enable data analytics in industrial automation. This paper explores interrelations between IIoT and big data technologies and how they work together to generate business insights from industrial data. Additionally, requirements for cloud-based solutions are derived from the Industrie 4.0 use case scenario value-based-services, focusing on condition monitoring and predictive maintenance services. A survey of selected cloud-based platforms is conducted to examine how these platforms meet the requirements derived from the use case. Results show that existing general cloud platforms should adopt more IIoT applications and platforms, while existing industrial cloud platforms should add big data frameworks to their portfolio. Finally, an architecture for integrating cloud-based IIoT and big data solutions is introduced and issues regarding the use of public cloud for IIoT applications are discussed.
AbstractList The industrial internet of things (IIoT) is growing at an exponential rate generating massive amounts of industrial data. This data must be leveraged to support business and operational goals. As a result, there is an urgent need for adopting big data technologies to enable data analytics in industrial automation. This paper explores interrelations between IIoT and big data technologies and how they work together to generate business insights from industrial data. Additionally, requirements for cloud-based solutions are derived from the Industrie 4.0 use case scenario value-based-services, focusing on condition monitoring and predictive maintenance services. A survey of selected cloud-based platforms is conducted to examine how these platforms meet the requirements derived from the use case. Results show that existing general cloud platforms should adopt more IIoT applications and platforms, while existing industrial cloud platforms should add big data frameworks to their portfolio. Finally, an architecture for integrating cloud-based IIoT and big data solutions is introduced and issues regarding the use of public cloud for IIoT applications are discussed.
Author Heymann, Sascha
Al-Gumaei, Khaled
Schuba, Kornelia
Pieper, Carsten
Schriegel, Sebastian
Pethig, Florian
Friesen, Andrej
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  givenname: Sebastian
  surname: Schriegel
  fullname: Schriegel, Sebastian
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  organization: Fraunhofer IOSB-INA, Lemgo, Germany
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Snippet The industrial internet of things (IIoT) is growing at an exponential rate generating massive amounts of industrial data. This data must be leveraged to...
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StartPage 1417
SubjectTerms Automation
Big Data
Cloud computing
Computational modeling
Industrial Automation
Industrial IoT (IIoT)
Industrie 4.0
Industries
Internet of Things
Internet of Things (IoT)
Protocols
Title A Survey of Internet of Things and Big Data integrated Solutions for Industrie 4.0
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