OPC-UA in artificial intelligence: a systematic review of the integration of data mining and NLP in industrial processes
This systematic literature review explores the integration of OPC-UA with Data Mining and Natural Language Processing (NLP) techniques within industrial environments. As industrial automation evolves, this integration faces challenges related to intelligence, autonomy, security, privacy, and interop...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | Manufacturing Review |
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| Online Access: | https://mfr.edp-open.org/articles/mfreview/full_html/2025/01/mfreview250003/mfreview250003.html |
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| author | Velesaca Henry O. Holgado-Terriza Juan A. |
| author_facet | Velesaca Henry O. Holgado-Terriza Juan A. |
| author_sort | Velesaca Henry O. |
| collection | DOAJ |
| description | This systematic literature review explores the integration of OPC-UA with Data Mining and Natural Language Processing (NLP) techniques within industrial environments. As industrial automation evolves, this integration faces challenges related to intelligence, autonomy, security, privacy, and interoperability—similar. The review evaluates current methodologies and applications aimed at addressing these challenges, particularly in areas like predictive maintenance, anomaly detection, process optimization, and others. Reviewing several primary studies, selected from high-impact scientific databases this paper identifies key strengths, weaknesses, opportunities, and threats in leveraging OPC-UA protocols for AI-based automation. Moreover, it highlights trends and future directions for improving decision-making processes and enhancing machine interoperability in data-driven industry. |
| format | Article |
| id | doaj-art-b7109756ea17466d815117e6fa02e69c |
| institution | DOAJ |
| issn | 2265-4224 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | Manufacturing Review |
| spelling | doaj-art-b7109756ea17466d815117e6fa02e69c2025-08-20T03:07:28ZengEDP SciencesManufacturing Review2265-42242025-01-0112910.1051/mfreview/2025003mfreview250003OPC-UA in artificial intelligence: a systematic review of the integration of data mining and NLP in industrial processesVelesaca Henry O.0https://orcid.org/0000-0003-0266-2465Holgado-Terriza Juan A.1https://orcid.org/0000-0002-8031-1276Software Engineering Department, Research Center for Information and Communication Technologies (CITIC-UGR), University of GranadaSoftware Engineering Department, Research Center for Information and Communication Technologies (CITIC-UGR), University of GranadaThis systematic literature review explores the integration of OPC-UA with Data Mining and Natural Language Processing (NLP) techniques within industrial environments. As industrial automation evolves, this integration faces challenges related to intelligence, autonomy, security, privacy, and interoperability—similar. The review evaluates current methodologies and applications aimed at addressing these challenges, particularly in areas like predictive maintenance, anomaly detection, process optimization, and others. Reviewing several primary studies, selected from high-impact scientific databases this paper identifies key strengths, weaknesses, opportunities, and threats in leveraging OPC-UA protocols for AI-based automation. Moreover, it highlights trends and future directions for improving decision-making processes and enhancing machine interoperability in data-driven industry.https://mfr.edp-open.org/articles/mfreview/full_html/2025/01/mfreview250003/mfreview250003.htmlopc-uaindustry 4.0control systemsdata miningnatural language processingnlpartificial intelligence |
| spellingShingle | Velesaca Henry O. Holgado-Terriza Juan A. OPC-UA in artificial intelligence: a systematic review of the integration of data mining and NLP in industrial processes Manufacturing Review opc-ua industry 4.0 control systems data mining natural language processing nlp artificial intelligence |
| title | OPC-UA in artificial intelligence: a systematic review of the integration of data mining and NLP in industrial processes |
| title_full | OPC-UA in artificial intelligence: a systematic review of the integration of data mining and NLP in industrial processes |
| title_fullStr | OPC-UA in artificial intelligence: a systematic review of the integration of data mining and NLP in industrial processes |
| title_full_unstemmed | OPC-UA in artificial intelligence: a systematic review of the integration of data mining and NLP in industrial processes |
| title_short | OPC-UA in artificial intelligence: a systematic review of the integration of data mining and NLP in industrial processes |
| title_sort | opc ua in artificial intelligence a systematic review of the integration of data mining and nlp in industrial processes |
| topic | opc-ua industry 4.0 control systems data mining natural language processing nlp artificial intelligence |
| url | https://mfr.edp-open.org/articles/mfreview/full_html/2025/01/mfreview250003/mfreview250003.html |
| work_keys_str_mv | AT velesacahenryo opcuainartificialintelligenceasystematicreviewoftheintegrationofdataminingandnlpinindustrialprocesses AT holgadoterrizajuana opcuainartificialintelligenceasystematicreviewoftheintegrationofdataminingandnlpinindustrialprocesses |