The PLC as a Smart Service in Industry 4.0 Production Systems
Open accessAbstract
Industrial controls, and in particular, Programmable Logic controllers (PLC) currently form an important technological basis for the automation of industrial processes. Even in the age of industry 4.0 and industrial internet, it can be assumed that these controllers will continue to be required to a considerable extent for the production of tomorrow. However, the controllers must fulfill a range of additional requirements, resulting from the new production conditions. Thereby, the introduction of the service paradigm plays an important role. This paper presents the concept of smart industrial control services (SICS) as a new type of a PLC. As a distributed service-oriented control system in an IP network, a SICS controller can replace the traditional PLC for applications with uncritical timing in terms of Industry 4.0. The SICS are programmed as usual in industry, according to the standard IEC 61131-3, and run in a SICS runtime on a server or in a cloud. The term Smart Service is introduced and the uses of SICS as a smart service, including a clearing system for the creation of new business models based on control as a service, are described. As a result, two different SICS prototype implementations are described and two application examples from manufacturing automation, as well as the evaluation of the real-time features and the engineering of a SICS controller, are discussed in the paper.
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The control device comprises additional requirements that traditional automation controllers (e.g., PLC) cannot yet fulfill, such as support to service-oriented paradigm, interoperability between heterogeneous systems, reconfigurability and support to plug-and-play features, and usage of information models to overcome strict information encapsulation of controllers.
“The control device comprises additional requirements that traditional automation controllers (e.g., PLC) cannot yet fulfill [10], such as the support to service-oriented paradigm, the interoperability between heterogeneous systems, the reconfigurability and support to plug-and-play features and the usage of information models to overcome the strict information encapsulation of controllers.”
From Open Source Control Device for Industry 4.0 Based on RAMI 4.0 (2021) · cites this paper as [10]
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- Authors
- Langmann, R., & Stiller, M.
- Affiliations
- Hochschule Düsseldorf University of Applied Sciences (DE)
- Fraunhofer Institute for Cognitive Systems (DE)
- Corresponding author
- Langmann, Reinhard
- Venue
- Applied Sciences
- Publisher
- MDPI AG
- Published
- 2019-09-11
- Volume
- 9
- Issue
- 18
- Pages
- 3815
- ISSN
- 2076-3417 (ISSN-L)
- OpenAlex
- W2972959352
- Cited by
- 77
- References
- 5
- Citations by year
- 2026: 5 · 2025: 14 · 2024: 8 · 2023: 12 · 2022: 16 · 2021: 14 · 2020: 7 · 2019: 1
- FWCI
- 5.27
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- Applied Sciences (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Fraunhofer-Publica (Fraunhofer-Gesellschaft) (submittedVersion, other-oa)
- Fraunhofer-Publica (Fraunhofer-Gesellschaft) (submittedVersion, cc-by)
- Funders
- Federal Ministry for Economic Affairs and Energy (Germany) (IGF-Vorgaben 18354 N)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Industrial Automation and Control Systems
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Flexible and Reconfigurable Manufacturing Systems
- Keywords
- programmable logic controller, Industry 4.0, cloud-based control, IEC 61131-3, real-time performance, manufacturing automation, Industrial Internet of Things, business models
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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