Evidence map›Paper›PMID 40431768›Full record

ArticleSensors (Basel, Switzerland)2025

Cross-PLC: An I3oT Cross Platform to Manage Communications for Applications in Real Factories.

Antonio Lacasa, Javier Llopis, Nicolás Montés, Ivan Peinado-Asensi, Eduardo Garcia

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Antonio LacasaFord Spain, Poligono Industrial Ford S/N, 46440 Almussafes, Spain.ORCID 0000-0003-4379-0682
Javier LlopisFord Spain, Poligono Industrial Ford S/N, 46440 Almussafes, Spain.ORCID 0000-0001-5543-2255
Nicolás MontésDepartment of Mathematics, Physics and Technological Sciences, University CEU Cardenal Herrera, C/San Bartolome 55, 46115 Alfara del Patriarca, Spain.ORCID 0000-0002-0661-3479
Ivan Peinado-AsensiDepartment of Mathematics, Physics and Technological Sciences, University CEU Cardenal Herrera, C/San Bartolome 55, 46115 Alfara del Patriarca, Spain.
Eduardo GarciaFord Spain, Poligono Industrial Ford S/N, 46440 Almussafes, Spain.ORCID 0000-0002-4210-9835

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, a new concept has emerged for the development of Industrial Internet of Things (IIoT) applications, the Industrializable Industrial Internet of Things (I3oT). As a criterion for the design of industrial applications, the I3oT imposes the exclusive use of pre-installed elements in the company such as PLCs, sensors, IT/OT networks, etc., trying to minimize the impact on the factories and guaranteeing a cheap and assumable scalability for companies, something that cannot be implemented with the vast majority of IIoT applications available in the market. In our previous work, we have used I3oT applications for predictive maintenance on different components: cylinders, presses, welding clamps and also energy-saving tools, detection of bottlenecks and sub-bottlenecks, etc., all of them generalized for the entire factory. However, the main drawback comes from the flow of data through the IT/OT network. This article presents the Cross-PLC, a tool to allow massive data extraction using the company's IT/OT network by communicating with any type of PLC or brand existing in the market. The Cross-PLC performs passive listening, and through different communication criteria, the Cross-PLC becomes a virtual PLC containing all the parameters necessary for the I3oT applications developed. This article presents the design of this tool, its implementation and use at Ford Factory in Almussafes (Valencia).

Indexed as

cross platformsCross-PLCI3oTIIoTIndustry 4.0

Identifiers

PMID40431768
PMCPMC12115214

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.