A PLC as an Industry 4.0 component

Langmann, Reinhard; Rojas-Peña, Leandro F.

doi:10.1109/rev.2016.7444433

Cited by 43 publications

(18 citation statements)

References 3 publications

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“…The approach proposed in this work provides both modalities, and the format of the file used for data exchange is the same in both modalities. This flexibility is required in view of enhancing the installation of a sensor network in different industrial scenarios [44]. In fact, in some cases, if the employed PLC does not have external communication ports for data exchange, plug-in wireless sensors are suitable for the implementation of a CPS system.…”

Section: Physical Sensor Network At the Production Line Levelmentioning

confidence: 99%

Cyber-physical manufacturing systems: An architecture for sensor integration, production line simulation and cloud services

Prist¹,

Monteriù²,

Pallotta³

et al. 2020

ACTA IMEKO

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The pillars of Industry 4.0 require the integration of a modern smart factory, data storage in the Cloud, access to the Cloud for data analytics, and information sharing at the software level for simulation and hardware-in-the-loop (HIL) capabilities. The resulting cyber-physical system (CPS) is often termed the cyber-physical manufacturing system, and it has become crucial to cope with this increased system complexity and to attain the desired performances. However, since a great number of old production systems are based on monolithic architectures with limited external communication ports and reduced local computational capabilities, it is difficult to ensure such production lines are compliant with the Industry 4.0 pillars. A wireless sensor network is one solution for the smart connection of a production line to a CPS elaborating data through cloud computing. The scope of this research work lies in developing a modular software architecture based on the open service gateway initiative framework, which is able to seamlessly integrate both hardware and software wireless sensors, send data into the Cloud for further data analysis and enable both HIL and cloud computing capabilities. The CPS architecture was initially tested using HIL tools before it was deployed within a real manufacturing line for data collection and analysis over a period of two months.

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Section: Physical Sensor Network At the Production Line Levelmentioning

confidence: 99%

Cyber-physical manufacturing systems: An architecture for sensor integration, production line simulation and cloud services

Prist¹,

Monteriù²,

Pallotta³

et al. 2020

ACTA IMEKO

View full text Add to dashboard Cite

show abstract

“…RAMI 4.0 de nes the structure that the product or process should exhibit. However, the architecture remains very generalised and provides limited information regarding practical implementation [36], enabling others to exploit the gaps and offer alternatives [37].…”

Section: Introductionmentioning

confidence: 99%

A Generic Asset Model for Implementing Product Digital Twins in Smart Remanufacturing

Kerin

Huang

et al. 2021

Preprint

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A digital twin is a “live” virtual replica of a sensorised component, product, process, human, or system. It accurately copies the entity being modelled by capturing information in real time or near real time from the entity through embedded sensors and the Internet-of-Things. Many applications of digital twins in manufacturing industry have been investigated. This article focuses on the development of product digital twins to reduce the impact of quantity, quality, and demand uncertainties in remanufacturing. Starting from issues specific to remanufacturing, the article derives the functional requirements for a product digital twin for remanufacturing and proposes a UML model of a generic asset to be remanufactured. The model has been demonstrated in a case study which highlights the need to translate existing knowledge and data into an integrated system to realise a product digital twin, capable of supporting remanufacturing process planning.

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“…Concerning automation units, PLC are focused on industrial infrastructures which must operate reliable for decades [25], so they are highly configurable and hardened for industrial scenarios and, even, their lifetime is in the range of decades. Moreover, PLC are being introduced also in the challenging paradigm of Industry 4.0 [4,7,11,13,18,19,24]. In addition, their reliable and stable behaviour promote their application out of the scope of typical industrial facilities.…”

Section: Introductionmentioning

confidence: 99%

Using the open source library Libnodave for monitoring tasks in the Smart Grid scenario

Pérez¹,

González²,

Calero³

et al. 2020

XL Jornadas De Automática: Libro De Actas (Ferrol, 4-6 De Septiembre De 2019)

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Monitoring in the future intelligent power grids, called Smart Grids, is a critical task for the proper operation and surveillance of the infrastructure. On the other hand, open source systems are being progressively applied in R&D activities. This paper presents the utilization of the open source library Libnodave to communicate a programmable logic controller with a monitoring system through a TCP/IP network. The obtained results prove the feasibility of the proposal to be applied in the Smart Grids scenario.

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A PLC as an Industry 4.0 component

Cited by 43 publications

References 3 publications

Cyber-physical manufacturing systems: An architecture for sensor integration, production line simulation and cloud services

Cyber-physical manufacturing systems: An architecture for sensor integration, production line simulation and cloud services

A Generic Asset Model for Implementing Product Digital Twins in Smart Remanufacturing

Using the open source library Libnodave for monitoring tasks in the Smart Grid scenario

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