Evidence map›Paper›PMID 35161532›Full record

ArticleSensors (Basel, Switzerland)2022

Simulation of Virtual Redundant Sensor Models for Safety-Related Applications.

Peter Peniak, Karol Rástočný, Alžbeta Kanáliková, Emília Bubeníková

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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.

Peter PeniakDepartment of Control and Information Systems, Faculty of Electrical Engineering and Information Technology, University of Žilina, 01026 Žilina, Slovakia.ORCID 0000-0001-6778-0978
Karol RástočnýDepartment of Control and Information Systems, Faculty of Electrical Engineering and Information Technology, University of Žilina, 01026 Žilina, Slovakia.
Alžbeta KanálikováDepartment of Control and Information Systems, Faculty of Electrical Engineering and Information Technology, University of Žilina, 01026 Žilina, Slovakia.ORCID 0000-0003-4925-0919
Emília BubeníkováDepartment of Control and Information Systems, Faculty of Electrical Engineering and Information Technology, University of Žilina, 01026 Žilina, Slovakia.ORCID 0000-0003-3053-0822

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Applications of safety-related control systems demand reliable and credible inputs from physical sensors, therefore there is a need to extend their capabilities to provide a validated input with high availability. Our main idea is to insert virtual sensors between physical sensors and the control system's logic. The created solution can validate the values of real sensors and with the use of multiple virtual sensors we can achieve high availability in addition, therefore our solution is entitled as a virtual redundant sensor. It works by the digital twin's concept and uses fusion function to calculate validated results. The fusion function is used to transform the measured values from the physical sensors according to designed numerical models. The selection of a numerical model with assigned fusion functions can be performed via the WEB-based graphical user interface. Proposal of the numerical model is created and validated on the experimental workplace with emulation of physical sensors and MQTT integration (smart IoT sensors). The results of testing have shown that our solution can be applied to validate the values of physical sensors. Proposed fusion functions calculated results according to the selected model in all cases, while non-standard cases were handled according to our definition. In addition, the high availability concept with a group of two virtual sensors has proven fast recovery and availability of results for safety-related applications as well.

Indexed as

Computer Simulationavailabilitydigital twinfail-safefusion functionMQTTsafetysafety-related applicationsimulationsoftware tool RabbitMQvirtual redundant sensor

Identifiers

PMID35161532
PMCPMC8838842

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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.