A framework to define, design and construct digital twins in the mining industry

dc.contributor.authorVan Eyk, Luke
dc.contributor.emailluke.vaneyk@up.ac.za
dc.date.accessioned2025-05-12T11:18:14Z
dc.date.available2025-05-12T11:18:14Z
dc.date.issued2025-02
dc.descriptionDATA AVAILABILITY : No data was used for the research described in the article.
dc.description.abstractThe mining industry is set to increasingly use technological innovations surrounding digitalisation, particularly in the context of the fourth industrial revolution, to address current productivity challenges and safety concerns. Digital twins serve as an enabling technology for many digitalisation-based technological innovations. However, there is currently a lack of a comprehensive understanding of the digital twin concept within the mining industry. This paper presents a framework customised to mining which delineates various dimensions, model types and properties associated with a digital twin. The framework establishes a shared understanding of the concept, serving as a blueprint for the development of future digital twin works in the mining industry. The framework is enriched by accompanying model selection tools which could aid new users in developing digital twins within the proposed framework. Two case studies depicting existing mining digital twins are presented and deconstructed within the proposed framework. These case studies illustrate the framework’s ability to effectively identify various digital twin types, instilling confidence in the framework’s ability to thoroughly deconstruct existing works whilst simultaneously serving as an effective tool to construct future digital twins.
dc.description.departmentMechanical and Aeronautical Engineering
dc.description.librarianhj2025
dc.description.sdgSDG-09: Industry, innovation and infrastructure
dc.description.sponsorshipThe Mandela Mining Precinct under the South African Mining Extraction Research, Development & Innovation (SAMERDI) Mechanised Mining Systems (MMS) research programme.
dc.description.urihttps://www.elsevier.com/locate/caie
dc.identifier.citationVan Eyk, L. & Heyns, P.S. 2025, 'A framework to define, design and construct digital twins in the mining industry;, Computers and Industrial Engineering, vol. 200, art. 110805, pp. 1-15, doi : 10.1016/j.cie.2024.110805.
dc.identifier.issn0360-8352 (print)
dc.identifier.issn1879-0550 (online)
dc.identifier.other10.1016/j.cie.2024.110805
dc.identifier.urihttp://hdl.handle.net/2263/102357
dc.language.isoen
dc.publisherElsevier
dc.rights© 2024 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
dc.subjectDigital twin
dc.subjectFramework
dc.subjectHybrid
dc.subjectData-driven
dc.subjectPhysics-driven
dc.subjectMining
dc.titleA framework to define, design and construct digital twins in the mining industry
dc.typeArticle

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