Prediction-Correction Techniques to Support Sensor Interoperability in Industry 4.0 Systems

Industry 4.0 is envisioned to transform the entire economical ecosystem by the inclusion of new paradigms, such as cyber-physical systems or artificial intelligence, into the production systems and solutions. One of the main benefits of this revolution is the increase in the production systems’ effi...

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Autores principales:	Borja Bordel, Ramón Alcarria, Tomás Robles
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	Industry 4.0 interpolation techniques predictor-corrector algorithms data series sensor nodes Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/c35b98c44d39472eaa2cd9b9c6b533be
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spelling	oai:doaj.org-article:c35b98c44d39472eaa2cd9b9c6b533be2021-11-11T19:15:12ZPrediction-Correction Techniques to Support Sensor Interoperability in Industry 4.0 Systems10.3390/s212173011424-8220https://doaj.org/article/c35b98c44d39472eaa2cd9b9c6b533be2021-11-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7301https://doaj.org/toc/1424-8220Industry 4.0 is envisioned to transform the entire economical ecosystem by the inclusion of new paradigms, such as cyber-physical systems or artificial intelligence, into the production systems and solutions. One of the main benefits of this revolution is the increase in the production systems’ efficiency, thanks to real-time algorithms and automatic decision-making mechanisms. However, at the software level, these innovative algorithms are very sensitive to the quality of received data. Common malfunctions in sensor nodes, such as delays, numerical errors, corrupted data or inactivity periods, may cause a critical problem if an inadequate decision is made based on those data. Many systems remove this risk by seamlessly integrating the sensor nodes and the high-level components, but this situation substantially reduces the impact of the Industry 4.0 paradigm and increases its deployment cost. Therefore, new solutions that guarantee the interoperability of all sensors with the software elements in Industry 4.0 solutions are needed. In this paper, we propose a solution based on numerical algorithms following a predictor-corrector architecture. Using a combination of techniques, such as Lagrange polynomial and Hermite interpolation, data series may be adapted to the requirements of Industry 4.0 software algorithms. Series may be expanded, contracted or completed using predicted samples, which are later updated and corrected using the real information (if received). Results show the proposed solution works in real time, increases the quality of data series in a relevant way and reduces the error probability in Industry 4.0 systems.Borja BordelRamón AlcarriaTomás RoblesMDPI AGarticleIndustry 4.0interpolation techniquespredictor-corrector algorithmsdata seriessensor nodesChemical technologyTP1-1185ENSensors, Vol 21, Iss 7301, p 7301 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Industry 4.0 interpolation techniques predictor-corrector algorithms data series sensor nodes Chemical technology TP1-1185
spellingShingle	Industry 4.0 interpolation techniques predictor-corrector algorithms data series sensor nodes Chemical technology TP1-1185 Borja Bordel Ramón Alcarria Tomás Robles Prediction-Correction Techniques to Support Sensor Interoperability in Industry 4.0 Systems
description	Industry 4.0 is envisioned to transform the entire economical ecosystem by the inclusion of new paradigms, such as cyber-physical systems or artificial intelligence, into the production systems and solutions. One of the main benefits of this revolution is the increase in the production systems’ efficiency, thanks to real-time algorithms and automatic decision-making mechanisms. However, at the software level, these innovative algorithms are very sensitive to the quality of received data. Common malfunctions in sensor nodes, such as delays, numerical errors, corrupted data or inactivity periods, may cause a critical problem if an inadequate decision is made based on those data. Many systems remove this risk by seamlessly integrating the sensor nodes and the high-level components, but this situation substantially reduces the impact of the Industry 4.0 paradigm and increases its deployment cost. Therefore, new solutions that guarantee the interoperability of all sensors with the software elements in Industry 4.0 solutions are needed. In this paper, we propose a solution based on numerical algorithms following a predictor-corrector architecture. Using a combination of techniques, such as Lagrange polynomial and Hermite interpolation, data series may be adapted to the requirements of Industry 4.0 software algorithms. Series may be expanded, contracted or completed using predicted samples, which are later updated and corrected using the real information (if received). Results show the proposed solution works in real time, increases the quality of data series in a relevant way and reduces the error probability in Industry 4.0 systems.
format	article
author	Borja Bordel Ramón Alcarria Tomás Robles
author_facet	Borja Bordel Ramón Alcarria Tomás Robles
author_sort	Borja Bordel
title	Prediction-Correction Techniques to Support Sensor Interoperability in Industry 4.0 Systems
title_short	Prediction-Correction Techniques to Support Sensor Interoperability in Industry 4.0 Systems
title_full	Prediction-Correction Techniques to Support Sensor Interoperability in Industry 4.0 Systems
title_fullStr	Prediction-Correction Techniques to Support Sensor Interoperability in Industry 4.0 Systems
title_full_unstemmed	Prediction-Correction Techniques to Support Sensor Interoperability in Industry 4.0 Systems
title_sort	prediction-correction techniques to support sensor interoperability in industry 4.0 systems
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/c35b98c44d39472eaa2cd9b9c6b533be
work_keys_str_mv	AT borjabordel predictioncorrectiontechniquestosupportsensorinteroperabilityinindustry40systems AT ramonalcarria predictioncorrectiontechniquestosupportsensorinteroperabilityinindustry40systems AT tomasrobles predictioncorrectiontechniquestosupportsensorinteroperabilityinindustry40systems
_version_	1718431609029394432

Prediction-Correction Techniques to Support Sensor Interoperability in Industry 4.0 Systems

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