Digital Twin Applications: A Survey of Recent Advances and Challenges

Industry 4.0 integrates a series of emerging technologies, such as the Internet of Things (IoT), cyber-physical systems (CPS), cloud computing, and big data, and aims to improve operational efficiency and accelerate productivity inside the industrial environment. This article provides a series of in...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Processes 2022-04, Vol.10 (4), p.744
Hauptverfasser: da Silva Mendonça, Rafael, de Oliveira Lins, Sidney, de Bessa, Iury Valente, de Carvalho Ayres, Florindo Antônio, de Medeiros, Renan Landau Paiva, de Lucena, Vicente Ferreira
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 4
container_start_page 744
container_title Processes
container_volume 10
creator da Silva Mendonça, Rafael
de Oliveira Lins, Sidney
de Bessa, Iury Valente
de Carvalho Ayres, Florindo Antônio
de Medeiros, Renan Landau Paiva
de Lucena, Vicente Ferreira
description Industry 4.0 integrates a series of emerging technologies, such as the Internet of Things (IoT), cyber-physical systems (CPS), cloud computing, and big data, and aims to improve operational efficiency and accelerate productivity inside the industrial environment. This article provides a series of information about the required structure to adopt Industry 4.0 approaches and a brief review of related concepts to finally identify challenges and research opportunities to envision the adoption of so-called digital twins. We want to pay attention to upgrading older systems aiming to provide the well-known advantages of Industry 4.0 to such legacy systems as reducing production costs, increasing efficiency, acquiring better robustness of equipment, and reaching advanced process connectivity.
doi_str_mv 10.3390/pr10040744
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2653019158</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2653019158</sourcerecordid><originalsourceid>FETCH-LOGICAL-c295t-4bee3ecfb12b982825125d9b83f5a33a0731f59179f25ffce4eb6b9e6e2d1af33</originalsourceid><addsrcrecordid>eNpNkM9LwzAcxYMoOOYu_gUBb0I1P5qm8VbqpsJA0HkOafrN7KhpTdrJ_nsrE_Rd3jt8eA8eQpeU3HCuyG0fKCEpkWl6gmaMMZkoSeXpv3yOFjHuyCRFeS6yGVreN9tmMC3efDUeF33fNtYMTefjHS7w6xj2cMCdwy9gwQ-4qPfGW4jY-BqX76ZtwW8hXqAzZ9oIi1-fo7fVclM-Juvnh6eyWCeWKTEkaQXAwbqKskrlLGeCMlGrKudOGM4NkZw6oahUjgnnLKRQZZWCDFhNjeN8jq6OvX3oPkeIg951Y_DTpGaZ4IQqKvKJuj5SNnQxBnC6D82HCQdNif55Sv89xb8Bl29aAA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2653019158</pqid></control><display><type>article</type><title>Digital Twin Applications: A Survey of Recent Advances and Challenges</title><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>da Silva Mendonça, Rafael ; de Oliveira Lins, Sidney ; de Bessa, Iury Valente ; de Carvalho Ayres, Florindo Antônio ; de Medeiros, Renan Landau Paiva ; de Lucena, Vicente Ferreira</creator><creatorcontrib>da Silva Mendonça, Rafael ; de Oliveira Lins, Sidney ; de Bessa, Iury Valente ; de Carvalho Ayres, Florindo Antônio ; de Medeiros, Renan Landau Paiva ; de Lucena, Vicente Ferreira</creatorcontrib><description>Industry 4.0 integrates a series of emerging technologies, such as the Internet of Things (IoT), cyber-physical systems (CPS), cloud computing, and big data, and aims to improve operational efficiency and accelerate productivity inside the industrial environment. This article provides a series of information about the required structure to adopt Industry 4.0 approaches and a brief review of related concepts to finally identify challenges and research opportunities to envision the adoption of so-called digital twins. We want to pay attention to upgrading older systems aiming to provide the well-known advantages of Industry 4.0 to such legacy systems as reducing production costs, increasing efficiency, acquiring better robustness of equipment, and reaching advanced process connectivity.</description><identifier>ISSN: 2227-9717</identifier><identifier>EISSN: 2227-9717</identifier><identifier>DOI: 10.3390/pr10040744</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Artificial intelligence ; Cloud computing ; Communication ; Cyber-physical systems ; Digital twins ; Embedded systems ; Industrial applications ; Internet of Things ; Legacy systems ; Manufacturing ; New technology ; Optimization ; Product life cycle ; Production costs ; Software ; Trends</subject><ispartof>Processes, 2022-04, Vol.10 (4), p.744</ispartof><rights>2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c295t-4bee3ecfb12b982825125d9b83f5a33a0731f59179f25ffce4eb6b9e6e2d1af33</citedby><cites>FETCH-LOGICAL-c295t-4bee3ecfb12b982825125d9b83f5a33a0731f59179f25ffce4eb6b9e6e2d1af33</cites><orcidid>0000-0001-9864-2850 ; 0000-0003-2559-3204 ; 0000-0002-0266-1019 ; 0000-0002-6603-3476 ; 0000-0002-1645-2736</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>da Silva Mendonça, Rafael</creatorcontrib><creatorcontrib>de Oliveira Lins, Sidney</creatorcontrib><creatorcontrib>de Bessa, Iury Valente</creatorcontrib><creatorcontrib>de Carvalho Ayres, Florindo Antônio</creatorcontrib><creatorcontrib>de Medeiros, Renan Landau Paiva</creatorcontrib><creatorcontrib>de Lucena, Vicente Ferreira</creatorcontrib><title>Digital Twin Applications: A Survey of Recent Advances and Challenges</title><title>Processes</title><description>Industry 4.0 integrates a series of emerging technologies, such as the Internet of Things (IoT), cyber-physical systems (CPS), cloud computing, and big data, and aims to improve operational efficiency and accelerate productivity inside the industrial environment. This article provides a series of information about the required structure to adopt Industry 4.0 approaches and a brief review of related concepts to finally identify challenges and research opportunities to envision the adoption of so-called digital twins. We want to pay attention to upgrading older systems aiming to provide the well-known advantages of Industry 4.0 to such legacy systems as reducing production costs, increasing efficiency, acquiring better robustness of equipment, and reaching advanced process connectivity.</description><subject>Artificial intelligence</subject><subject>Cloud computing</subject><subject>Communication</subject><subject>Cyber-physical systems</subject><subject>Digital twins</subject><subject>Embedded systems</subject><subject>Industrial applications</subject><subject>Internet of Things</subject><subject>Legacy systems</subject><subject>Manufacturing</subject><subject>New technology</subject><subject>Optimization</subject><subject>Product life cycle</subject><subject>Production costs</subject><subject>Software</subject><subject>Trends</subject><issn>2227-9717</issn><issn>2227-9717</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNpNkM9LwzAcxYMoOOYu_gUBb0I1P5qm8VbqpsJA0HkOafrN7KhpTdrJ_nsrE_Rd3jt8eA8eQpeU3HCuyG0fKCEpkWl6gmaMMZkoSeXpv3yOFjHuyCRFeS6yGVreN9tmMC3efDUeF33fNtYMTefjHS7w6xj2cMCdwy9gwQ-4qPfGW4jY-BqX76ZtwW8hXqAzZ9oIi1-fo7fVclM-Juvnh6eyWCeWKTEkaQXAwbqKskrlLGeCMlGrKudOGM4NkZw6oahUjgnnLKRQZZWCDFhNjeN8jq6OvX3oPkeIg951Y_DTpGaZ4IQqKvKJuj5SNnQxBnC6D82HCQdNif55Sv89xb8Bl29aAA</recordid><startdate>20220401</startdate><enddate>20220401</enddate><creator>da Silva Mendonça, Rafael</creator><creator>de Oliveira Lins, Sidney</creator><creator>de Bessa, Iury Valente</creator><creator>de Carvalho Ayres, Florindo Antônio</creator><creator>de Medeiros, Renan Landau Paiva</creator><creator>de Lucena, Vicente Ferreira</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>KB.</scope><scope>LK8</scope><scope>M7P</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0001-9864-2850</orcidid><orcidid>https://orcid.org/0000-0003-2559-3204</orcidid><orcidid>https://orcid.org/0000-0002-0266-1019</orcidid><orcidid>https://orcid.org/0000-0002-6603-3476</orcidid><orcidid>https://orcid.org/0000-0002-1645-2736</orcidid></search><sort><creationdate>20220401</creationdate><title>Digital Twin Applications: A Survey of Recent Advances and Challenges</title><author>da Silva Mendonça, Rafael ; de Oliveira Lins, Sidney ; de Bessa, Iury Valente ; de Carvalho Ayres, Florindo Antônio ; de Medeiros, Renan Landau Paiva ; de Lucena, Vicente Ferreira</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c295t-4bee3ecfb12b982825125d9b83f5a33a0731f59179f25ffce4eb6b9e6e2d1af33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Artificial intelligence</topic><topic>Cloud computing</topic><topic>Communication</topic><topic>Cyber-physical systems</topic><topic>Digital twins</topic><topic>Embedded systems</topic><topic>Industrial applications</topic><topic>Internet of Things</topic><topic>Legacy systems</topic><topic>Manufacturing</topic><topic>New technology</topic><topic>Optimization</topic><topic>Product life cycle</topic><topic>Production costs</topic><topic>Software</topic><topic>Trends</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>da Silva Mendonça, Rafael</creatorcontrib><creatorcontrib>de Oliveira Lins, Sidney</creatorcontrib><creatorcontrib>de Bessa, Iury Valente</creatorcontrib><creatorcontrib>de Carvalho Ayres, Florindo Antônio</creatorcontrib><creatorcontrib>de Medeiros, Renan Landau Paiva</creatorcontrib><creatorcontrib>de Lucena, Vicente Ferreira</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>Materials Science Database</collection><collection>ProQuest Biological Science Collection</collection><collection>Biological Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Processes</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>da Silva Mendonça, Rafael</au><au>de Oliveira Lins, Sidney</au><au>de Bessa, Iury Valente</au><au>de Carvalho Ayres, Florindo Antônio</au><au>de Medeiros, Renan Landau Paiva</au><au>de Lucena, Vicente Ferreira</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Digital Twin Applications: A Survey of Recent Advances and Challenges</atitle><jtitle>Processes</jtitle><date>2022-04-01</date><risdate>2022</risdate><volume>10</volume><issue>4</issue><spage>744</spage><pages>744-</pages><issn>2227-9717</issn><eissn>2227-9717</eissn><abstract>Industry 4.0 integrates a series of emerging technologies, such as the Internet of Things (IoT), cyber-physical systems (CPS), cloud computing, and big data, and aims to improve operational efficiency and accelerate productivity inside the industrial environment. This article provides a series of information about the required structure to adopt Industry 4.0 approaches and a brief review of related concepts to finally identify challenges and research opportunities to envision the adoption of so-called digital twins. We want to pay attention to upgrading older systems aiming to provide the well-known advantages of Industry 4.0 to such legacy systems as reducing production costs, increasing efficiency, acquiring better robustness of equipment, and reaching advanced process connectivity.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/pr10040744</doi><orcidid>https://orcid.org/0000-0001-9864-2850</orcidid><orcidid>https://orcid.org/0000-0003-2559-3204</orcidid><orcidid>https://orcid.org/0000-0002-0266-1019</orcidid><orcidid>https://orcid.org/0000-0002-6603-3476</orcidid><orcidid>https://orcid.org/0000-0002-1645-2736</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2227-9717
ispartof Processes, 2022-04, Vol.10 (4), p.744
issn 2227-9717
2227-9717
language eng
recordid cdi_proquest_journals_2653019158
source MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals
subjects Artificial intelligence
Cloud computing
Communication
Cyber-physical systems
Digital twins
Embedded systems
Industrial applications
Internet of Things
Legacy systems
Manufacturing
New technology
Optimization
Product life cycle
Production costs
Software
Trends
title Digital Twin Applications: A Survey of Recent Advances and Challenges
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-07T08%3A42%3A32IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Digital%20Twin%20Applications:%20A%20Survey%20of%20Recent%20Advances%20and%20Challenges&rft.jtitle=Processes&rft.au=da%20Silva%20Mendon%C3%A7a,%20Rafael&rft.date=2022-04-01&rft.volume=10&rft.issue=4&rft.spage=744&rft.pages=744-&rft.issn=2227-9717&rft.eissn=2227-9717&rft_id=info:doi/10.3390/pr10040744&rft_dat=%3Cproquest_cross%3E2653019158%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2653019158&rft_id=info:pmid/&rfr_iscdi=true