Communication Systems for Industry 4.0 and the IIoT

Zezulka, F.; Marcoň, P.; Bradáč, Zdeněk; Arm, Jakub; Benešl, Tomáš; Veselý, I.

doi:10.1016/j.ifacol.2018.07.145

Cited by 69 publications

(28 citation statements)

References 12 publications

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“…It is hardly by chance that Andrews et al (2016) documented that not only the number of reported industrial control incidents, but also the number of cyberattacks against manufacturing firms have been conspicuously growing, initiated by ransomwares, malwares, and various types of phishing activities, engendering smaller-scale and also full disruptions (e.g., in public services as well). 16 Zezulka et al (2018) pointed this out with respect to the communication challenges across Industrial Internet of Things. 17 E.g., the so-called People Analytics for the purpose of selecting as well as hiring, then monitoring the best candidates for a job, as Isson and Harriott (2016) 19 For more on the reallocation channel, see: Martin and Scarpetta (2012).…”

Section: If No 2-regulation Over Labour Marketmentioning

confidence: 99%

Big IFs in Productivity-Enhancing Industry 4.0

Kovács

2019

Social Sciences

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With the dawn of Industry 4.0, its productivity-boosting impact appears to be comfortably ensconced both in the media and in the scientific community. Still, our paper is to portend a rather dismal prognosis by outlining three big Inertia Forces (IFs) hindering the power of Industry 4.0 in reviving productivity growth in a more spectacular way. After applying a complexity view to the development of Industry 4.0 in deciphering the major IFs, the paper briefly exemplifies them by building on the case of Hungary, and it then draws some lessons for theorists and economic policy practitioners in the interest of a value-congruent development of Industry 4.0.

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Section: If No 2-regulation Over Labour Marketmentioning

confidence: 99%

Big IFs in Productivity-Enhancing Industry 4.0

Kovács

2019

Social Sciences

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“…Nowadays, a considerable amount of research works have been conducted on cloud-based access to devices through different protocols [14], [15] and frameworks [16]. Many researchers are working on the migration of low-level control to the cloud [12], [13], [17].…”

Section: Aiming To Evaluate the Efficiency Of Data Communication In Tmentioning

confidence: 99%

Cloud based cyber-physical systems: Network evaluation study

Kajáti

Papcun

Liu

et al. 2019

Advanced Engineering Informatics

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In recent years, the Industry 4.0 concept brings new demands and trends in different areas; one of them is distributing computational power to the cloud. This concept also introduced the Reference Architectural Model for Industry 4.0 (RAMI 4.0). The efficiency of data communications within the RAMI 4.0 model is a critical issue. Aiming to evaluate the efficiency of data communication in the Cloud Based Cyber-Physical Systems (CB-CPS), this study analyzes the periods and data amount required to communicate with individual hierarchy levels of the RAMI 4.0 model. The evaluation of the network properties of the communication protocols eligible for CB-CPS is presented. The network properties to different cloud providers and data centers' locations have been measured and interpreted. To test the findings, an architecture for cloud control of laboratory model was proposed. It was found that the time of the day; the day of the week; and data center utilization have a negligible impact on latency.

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“…A major limiting factor preventing the exploitation of DTs is the manual work involved in collecting source information and updating the DT over the lifecycle of the plant. Current megatrends, such as Industry 4.0 [45], [46], Industrial IoT [47]- [50] and Cyber-Physical Production Systems [15], [51]- [54], offer solutions to the problem of making all relevant data available in real time throughout the lifecycle of the plant for generating and maintaining as automatically as possible high-fidelity DTs. Industrial interoperability standards often available in modern plants [55], such as OPC and OPC Unified Architecture (OPC UA) [56], could be used for interfacing the simulation system with the plant.…”

Section: Implementation Of Sbdtsmentioning

confidence: 99%

Automatic Generation of a Simulation-Based Digital Twin of an Industrial Process Plant

Martínez

Sierla

Karhela

et al. 2018

IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society

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The author wrote the manuscript in collaboration with Mr. Miettinen, Mr. Aikala and Mr. Savolainen. The author implemented and tested the proposed method on the Aalto University laboratory process under the guidance of Dr. Karhela and Prof. Vyatkin. Publication IV: "Sliding Mode SISO Control of Model Parameters for Implicit Dynamic Feedback Estimation of Industrial Tracking Simulation Systems" The author wrote the manuscript in collaboration with Mr. Ruusu. Mr. Ruusu developed the conceptual designed of the proposed method and implemented the parameter controller. The author implemented and tested the proposed method on the Aalto University laboratory process under the guidance of Dr. Karhela and Prof. Vyatkin.

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Communication Systems for Industry 4.0 and the IIoT

Cited by 69 publications

References 12 publications

Big IFs in Productivity-Enhancing Industry 4.0

Big IFs in Productivity-Enhancing Industry 4.0

Cloud based cyber-physical systems: Network evaluation study

Automatic Generation of a Simulation-Based Digital Twin of an Industrial Process Plant

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