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

The 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. • A short but comprehensive review of digital twin literature. • Development of a customised digital twin framework for the mining industry. • Provision of model selection tools to aid digital twin construction. • Two digital twin case studies present the framework’s comprehensive, concise nature.

Authors

Institutions

Publication Details

Journal
Computers & Industrial Engineering
Published
2024-12-16
DOI
https://doi.org/10.1016/j.cie.2024.110805
Citations
9
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
3.14
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

P. Stephan Heyns, Luke van Eyk
9 citations
Computers & Industrial Engineering
Digital Transformation in Industry
3.14
article

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

P. Stephan Heyns, Luke van Eyk
article en
9 citations

Abstract

The 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. • A short but comprehensive review of digital twin literature. • Development of a customised digital twin framework for the mining industry. • Provision of model selection tools to aid digital twin construction. • Two digital twin case studies present the framework’s comprehensive, concise nature.

Computers & Industrial EngineeringVol. 200
University of Pretoria (ZA)
Industry, innovation and infrastructure
Openalex Percentile: Top 8%
Digital Transformation in Industry
3.14
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A framework to define, design and construct digital twins in the mining industry — P. Stephan Heyns, Luke van Eyk · Computers & Industrial Engineering (2024) | TGRS Research Map | TGRS