Evidence map›Paper›PMID 37430895›Full record

ArticleSensors (Basel, Switzerland)2023

Educational Case Studies: Creating a Digital Twin of the Production Line in TIA Portal, Unity, and Game4Automation Framework.

Michal Balla, Oto Haffner, Erik Kučera, Ján Cigánek

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Michal BallaFaculty of Electrical Engineering and Information Technology, Slovak University of Technology, 812 19 Bratislava, Slovakia.ORCID 0000-0002-8876-1423
Oto HaffnerFaculty of Electrical Engineering and Information Technology, Slovak University of Technology, 812 19 Bratislava, Slovakia.ORCID 0000-0003-4973-012X
Erik KučeraFaculty of Electrical Engineering and Information Technology, Slovak University of Technology, 812 19 Bratislava, Slovakia.ORCID 0000-0002-4880-6746
Ján CigánekFaculty of Electrical Engineering and Information Technology, Slovak University of Technology, 812 19 Bratislava, Slovakia.ORCID 0000-0003-2600-7035

Funding

Cultural and Educational Grant Agency of the Ministry of 866 Education, Science, Research and Sport of the Slovak Republic KEGA 039STU-4/2021 and 010STU-4/2023Scientific Grant Agency of the Ministry of Education, Research and Sport of the Slovak Republic VEGA 1/0107/22Slovak Research and Development Agency APVV-21-0125
6 · The paper itself

Abstract

In today's industry, the fourth industrial revolution is underway, characterized by the integration of advanced technologies such as artificial intelligence, the Internet of Things, and big data. One of the key pillars of this revolution is the technology of digital twin, which is rapidly gaining importance in various industries. However, the concept of digital twins is often misunderstood or misused as a buzzword, leading to confusion in its definition and applications. This observation inspired the authors of this paper to create their own demonstration applications that allow the control of both the real and virtual systems through automatic two-way communication and mutual influence in context of digital twins. The paper aims to demonstrate the use of digital twin technology aimed at discrete manufacturing events in two case studies. In order to create the digital twins for these case studies, the authors used technologies as Unity, Game4Automation, Siemens TIA portal, and Fishertechnik models. The first case study involves the creation of a digital twin for a production line model, while the second case study involves the virtual extension of a warehouse stacker using a digital twin. These case studies will form the basis for the creation of pilot courses for Industry 4.0 education and can be further modified for the development of Industry 4.0 educational materials and technical practice. In conclusion, selected technologies are affordable, which makes the presented methodologies and educational studies accessible to a wide range of researchers and solution developers tackling the issue of digital twins, with a focus on discrete manufacturing events.

Indexed as

digital factorydigital shadowdigital twingame4AutomationIndustry 4.0Unity engine

Identifiers

PMID37430895
PMCPMC10222384

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.