A Study on Semantic-Based Autonomous Computing Technology for Highly Reliable Smart Factory in Industry 4.0

Smart factories have made great progress with the development of various ICT technologies, such as IoT, big data, and artificial intelligence. The recent development of smart factory technology has shown results in automation and data acquisition and processing. However, it still has incomplete poin...

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Autores principales:	Kwang-Jin Kwak, Jeong-Min Park
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	smart factory goal model autonomous control Semantic Web Industry 4.0 Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/c984d039d5ef4b84a41ff8c79a562fba
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id	oai:doaj.org-article:c984d039d5ef4b84a41ff8c79a562fba
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spelling	oai:doaj.org-article:c984d039d5ef4b84a41ff8c79a562fba2021-11-11T15:11:01ZA Study on Semantic-Based Autonomous Computing Technology for Highly Reliable Smart Factory in Industry 4.010.3390/app1121101212076-3417https://doaj.org/article/c984d039d5ef4b84a41ff8c79a562fba2021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/10121https://doaj.org/toc/2076-3417Smart factories have made great progress with the development of various ICT technologies, such as IoT, big data, and artificial intelligence. The recent development of smart factory technology has shown results in automation and data acquisition and processing. However, it still has incomplete points to be converted to advanced technology, including intelligence. For intelligentization, there is a need to propose a new research method in addition to the previous methodologies. Considering the specificity of the factory, the data structure and methodology of the Semantic Web can be effective. Therefore, in this study, a smart factory was designed by the convergence of monitoring technology, autonomous control technology, and semantic web technologies. Based on the proposed methodology, a methodology for the autonomous control of a smart factory on a digital twin was designed.Kwang-Jin KwakJeong-Min ParkMDPI AGarticlesmart factorygoal modelautonomous controlSemantic WebIndustry 4.0TechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10121, p 10121 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	smart factory goal model autonomous control Semantic Web Industry 4.0 Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	smart factory goal model autonomous control Semantic Web Industry 4.0 Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Kwang-Jin Kwak Jeong-Min Park A Study on Semantic-Based Autonomous Computing Technology for Highly Reliable Smart Factory in Industry 4.0
description	Smart factories have made great progress with the development of various ICT technologies, such as IoT, big data, and artificial intelligence. The recent development of smart factory technology has shown results in automation and data acquisition and processing. However, it still has incomplete points to be converted to advanced technology, including intelligence. For intelligentization, there is a need to propose a new research method in addition to the previous methodologies. Considering the specificity of the factory, the data structure and methodology of the Semantic Web can be effective. Therefore, in this study, a smart factory was designed by the convergence of monitoring technology, autonomous control technology, and semantic web technologies. Based on the proposed methodology, a methodology for the autonomous control of a smart factory on a digital twin was designed.
format	article
author	Kwang-Jin Kwak Jeong-Min Park
author_facet	Kwang-Jin Kwak Jeong-Min Park
author_sort	Kwang-Jin Kwak
title	A Study on Semantic-Based Autonomous Computing Technology for Highly Reliable Smart Factory in Industry 4.0
title_short	A Study on Semantic-Based Autonomous Computing Technology for Highly Reliable Smart Factory in Industry 4.0
title_full	A Study on Semantic-Based Autonomous Computing Technology for Highly Reliable Smart Factory in Industry 4.0
title_fullStr	A Study on Semantic-Based Autonomous Computing Technology for Highly Reliable Smart Factory in Industry 4.0
title_full_unstemmed	A Study on Semantic-Based Autonomous Computing Technology for Highly Reliable Smart Factory in Industry 4.0
title_sort	study on semantic-based autonomous computing technology for highly reliable smart factory in industry 4.0
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/c984d039d5ef4b84a41ff8c79a562fba
work_keys_str_mv	AT kwangjinkwak astudyonsemanticbasedautonomouscomputingtechnologyforhighlyreliablesmartfactoryinindustry40 AT jeongminpark astudyonsemanticbasedautonomouscomputingtechnologyforhighlyreliablesmartfactoryinindustry40 AT kwangjinkwak studyonsemanticbasedautonomouscomputingtechnologyforhighlyreliablesmartfactoryinindustry40 AT jeongminpark studyonsemanticbasedautonomouscomputingtechnologyforhighlyreliablesmartfactoryinindustry40
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A Study on Semantic-Based Autonomous Computing Technology for Highly Reliable Smart Factory in Industry 4.0

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