Namur Open Architecture

Klettner, Christian; Nothdurft, Lars; Urbas, Leon; Diedrich, Christian; Krauss, Michael I.; Schröder, Tizian; Banerjee, Suprateek; Epple, Ulrich; Großmann, Daniel; Tauchnitz, Thomas; Chris, Iatrou

doi:10.17560/atp.v59i01-02.620

Cited by 23 publications

(11 citation statements)

References 7 publications

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“…Companies have also started to completely digitize their asset and plant plans. The question whether the high amount of information needs to be integrated in the classical pyramid automation structure or there might be another interface between the classical PCS domain and the monitoring and optimization domain is covered by the NAMUR open architecture concept (NOA) [10,11].…”

Section: Future Requirements To Communication/connectivitymentioning

confidence: 99%

Current and future requirements to industrial analytical infrastructure—part 2: smart sensors

Eifert¹,

Eisen

Maiwald

et al. 2020

Anal Bioanal Chem

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Complex processes meet and need Industry 4.0 capabilities. Shorter product cycles, flexible production needs, and direct assessment of product quality attributes and raw material attributes call for an increased need of new process analytical technologies (PAT) concepts. While individual PAT tools may be available since decades, we need holistic concepts to fulfill above industrial needs. In this series of two contributions, we want to present a combined view on the future of PAT (process analytical technology), which is projected in smart labs (Part 1) and smart sensors (Part 2). Part 2 of this feature article series describes the future functionality as well as the ingredients of a smart sensor aiming to eventually fuel full PAT functionality. The smart sensor consists of (i) chemical and process information in the physical twin by smart field devices, by measuring multiple components, and is fully connected in the IIoT 4.0 environment. In addition, (ii) it includes process intelligence in the digital twin, as to being able to generate knowledge from multi-sensor and multi-dimensional data. The cyber-physical system (CPS) combines both elements mentioned above and allows the smart sensor to be self-calibrating and self-optimizing. It maintains its operation autonomously. Furthermore, it allows-as central PAT enabler-a flexible but also target-oriented predictive control strategy and efficient process development and can compensate variations of the process and raw material attributes. Future cyber-physical production systems-like smart sensors-consist of the fusion of two main pillars, the physical and the digital twins. We discuss the individual elements of both pillars, such as connectivity, and chemical analytics on the one hand as well as hybrid models and knowledge workflows on the other. Finally, we discuss its integration needs in a CPS in order to allow its versatile deployment in efficient process development and advanced optimum predictive process control.

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Section: Future Requirements To Communication/connectivitymentioning

confidence: 99%

Current and future requirements to industrial analytical infrastructure—part 2: smart sensors

Eifert¹,

Eisen

Maiwald

et al. 2020

Anal Bioanal Chem

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show abstract

“…One or more OPC UA aggregating servers integrate the plethora of distributed data sources into a coherent, central endpoint that makes the information available to the cloud. Third party applications can retrieve information from there and use it for data analytics, big data or device specific "as a service" optimizations without divulging the know-how required for the respective algorithm, offering the service result as an optimization suggestions [4].…”

Section: Noa Verification Of Requestmentioning

confidence: 99%

“…The acquisition of data from field devices or wireless sensors has been technologically feasible for a while. Many new industrial actuators and sensors are equipped with various (wireless) field bus technologies that permit accessing device specific information, such as runtime metrics or even integrated sensors [4] [5].Several initiatives have shown that this information can be accessed and forwarded to added value services. Most As the classic control structures of the automation pyramid are laid out for control and not flexible data acquisition, extracting this data through existent communication architectures would overburden the installed systems and -more critically -require the modification of installed, running and otherwise reliable assets.…”

Section: Namur Open Architecturementioning

confidence: 99%

NOA Demonstratoren Special

Nothdurft

Epple

Schröder

et al. 2018

atp

Self Cite

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Bei der Namur-Hauptsitzung 2016 wurde erstemals die im Namur-Arbeitskreis 2.8 "Automatisierungsnetzwerke und -dienste" entwickelte Namur Open Architecture (NOA) vorgestellt. Mit NOA wird der Versuch unternommen, die bestehenden Automatisierungsstrukturen so zu öffnen und zu ergänzen, dass Innovationen (IoT, Industrie 4.0 und andere) nutzbar werden, ohne die Vorteile der bisherigen Automatisierung zu verlieren. Vier Hochschulen stellten ein Jahr später, bei der Namur-Hauptsitzung 2017, nun erstmals vier Demonstratoren vor, bei denen NOA praktisch umgesetzt wurde. Die Hauptbeiträge der atp edition 1-2/2018 stellen diese vor:Plug-and-Produce-Prozess mit NOA automatisierenLars Nothdurft, Ulrich Epple, RWTH AachenNOA schafft Voraussetzungen für neue digitale DiensteTizian Schröder, Christian Diedrich, Otto-von-Guericke-Universität MagdeburgFeldgerätedaten mit NOA in Cloud-Applikationen nutzenDaniel Grossmann, Suprateek Banerjee, Sebastian Schmied, Technische Hochschule IngolstadtNOA Verification of RequestChris Paul Iatrou, Markus Graube, Leon Urbas, Technische Universität DresdenTim-Peter Henrichs, Yokogawa DeutschlandStefan Erben, Samson

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“…Insbesondere am zuletzt genannten Punkt setzt die Namur Open Architecture (NOA) an. Sie stellt eine Erweiterung beziehungsweise eine Adaptionsmöglichkeit der klassischen Automatisierungspyramide für zusätzliche Funktionen bereit, siehe Bild 4 [12]. Zu NOA finden sich zwei weitere Aufsätze in dieser Ausgabe.…”

Section: Namur Open Architectureunclassified

Plug-and-operate für die produktionsnahe Logistik

Lenz¹,

Keßler²,

Rytir³

et al. 2017

atp

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Eine flexible Automatisierung und Vernetzung produktionsnaher logistischer Anlagen und Equipments stellt die Prozessindustrie vor Herausforderungen. Im Namur-Arbeitskreis 4.19 Produktionsnahe Logistik wurden verschiedene Herausforderungen durch die Projekterfahrungen der Mitglieder identifiziert; sie werden im Beitrag vorgestellt. Ausgewählte Lösungskonzepte, die durch Überwindung klassischer Automatisierungsarchitekturen die Weiterentwicklung logistischer Produktionseinheiten und Leistungsobjekte und die Realisierung dezentral gesteuerter Einheiten ermöglichen, sind erfolgversprechend.

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Namur Open Architecture

Cited by 23 publications

References 7 publications

Current and future requirements to industrial analytical infrastructure—part 2: smart sensors

Current and future requirements to industrial analytical infrastructure—part 2: smart sensors

NOA Demonstratoren Special

Plug-and-operate für die produktionsnahe Logistik

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