Communication Solutions for the Integration of Distributed Control in Logistics Systems

Persico, Giuliano; Raddatz, Hannes; Tran, Duy Lam; Riedl, Matthias; Varutti, Paolo; Tekkalmaz, Metin

doi:10.1109/iecon.2019.8927834

Cited by 6 publications

(2 citation statements)

References 4 publications

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“…In the case of crane-based material handling, the operator commands the crane using a UWB-tagged HMI device. The crane automatically controls the tasks such as loading, transportation, and unloading of objects through IoT sensors attached to the crane, and performs a given mission based on the position coordinates calculated from the positioning sensors installed on the crane [6]. Figure 1 represents the conceptual architecture for constructing the automated material handling with crane.…”

Section: Application Scenariomentioning

confidence: 99%

Evaluation of UWB-Based Indoor Positioning in Smart Factory Environment

Lee

Yoon

2021

Advances in Intelligent Information Hiding and Multimedia Signal Processing

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In a smart factory environment, localization occurs in the interaction process of objects that dynamically change positions, such as mobile equipment or workers, and statically located objects such as fixed facilities in a factory or dangerous areas and obstacles. This paper builds a testbed based on ultra-wide band (UWB), which is known as an indoor positioning technology suitable for material handling in a smart factory, and performs performance verification through positioning experiments.

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Section: Application Scenariomentioning

confidence: 99%

Evaluation of UWB-Based Indoor Positioning in Smart Factory Environment

Lee

Yoon

2021

Advances in Intelligent Information Hiding and Multimedia Signal Processing

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“…1) will take up the data from the field level. The implementation can base on a distributed system as described in [26] or on a monitoring and supervisory control platform such as ifakFAST 2 . Fieldbusspecific services are triggered in the configured time interval in which the process values are to be provided.…”

Section: B Approachmentioning

confidence: 99%

An Architectural Design for Measurement Uncertainty Evaluation in Cyber-Physical Systems

Pilchau

Gowtham

Gruber

et al. 2020

Position Papers of the 2020 Federated Conference on Computer Science and Information Systems

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Several use cases from the areas of manufacturing and process industry, require highly accurate sensor data. As sensors always have some degree of uncertainty, methods are needed to increase their reliability. The common approach is to regularly calibrate the devices to enable traceability according to national standards and Système International (SI) unitswhich follows costly processes. However, sensor networks can also be represented as Cyber Physical Systems (CPS) and a single sensor can have a digital representation (Digital Twin) to use its data further on. To propagate uncertainty in a reliable way in the network, we present a system architecture to communicate measurement uncertainties in sensor networks utilizing the concept of Asset Administration Shells alongside methods from the domain of Organic Computing. The presented approach contains methods for uncertainty propagation as well as concepts from the Machine Learning domain that combine the need for an accurate uncertainty estimation. The mathematical description of the metrological uncertainty of fused or propagated values can be seen as a first step towards the development of a harmonized approach for uncertainty in distributed CPS in the context of Industrie 4.0. In this paper, we present basic use cases, conceptual ideas and an agenda of how to proceed further on.

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Sichere Kommunikation für kollaborative Systeme

Meisberger

Persico³

et al. 2012

Technologien Für Die Intelligente Automation

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ZusammenfassungVerbesserte Integration von Mitarbeitern, Maschinenkonnektivität und dezentralisierte kooperative Steuerungssysteme spielen eine wichtige Rolle bei der Flexibilisierung von Produktionssystemen. Cyber-Physische Systeme zur Maschinensteuerung, mobile HMI- oder SCADA-Systeme werden zunehmend über Internet-basierte Technologien verbunden. Diese offene Kommunikation erfordert Strategien, um die Datenintegrität und Sicherheit zu schützen. Basierend auf einer STRIDE-Analyse präsentiert der Beitrag Vorschläge, wie der Datenaustausch sowohl zwischen CPS als auch zwischen CPS und mobiler HMI mittels IoT-Kommunikation gesichert werden kann, wobei die Praktikabilität eine wichtige Rolle spielt. Erste Ergebnisse zeigen, dass die Konzepte realisierbar sind und derzeit prototypisch erprobt werden. Zukünftige Arbeiten werden sich auf die detaillierte Bewertung hinsichtlich der Kommunikationsleistung und die Bestimmung des Code-Overheads der vorgestellten Lösungen konzentrieren.

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Communication Solutions for the Integration of Distributed Control in Logistics Systems

Cited by 6 publications

References 4 publications

Evaluation of UWB-Based Indoor Positioning in Smart Factory Environment

Evaluation of UWB-Based Indoor Positioning in Smart Factory Environment

An Architectural Design for Measurement Uncertainty Evaluation in Cyber-Physical Systems

Sichere Kommunikation für kollaborative Systeme

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