A digital twin framework to support vehicle interaction risk management in the mining industry
In recent years, transport-related accidents, notably those involving trackless mobile machinery (TMM), have consistently ranked among the top three causes of fatalities and injuries in the South African mining industry (SAMI) [1]. These accidents arise from a combination of mechanical and technical...
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ftdoajarticles:oai:doaj.org/article:04f21998c9ae47119d89433fe387aa00 2024-02-27T08:45:13+00:00 A digital twin framework to support vehicle interaction risk management in the mining industry Verster Jaco Roux Pieter Magweregwede Fleckson de Ronde Willis Crafford Gerrie Mashaba Musa Turundu Safiya Mpofu Mvikeli Prinsloo Jacobus Ferreira Pieta Brodner Hartmut 2023-01-01T00:00:00Z https://doi.org/10.1051/matecconf/202338811002 https://doaj.org/article/04f21998c9ae47119d89433fe387aa00 EN FR eng fre EDP Sciences https://www.matec-conferences.org/articles/matecconf/pdf/2023/15/matecconf_rapdasa2023_11002.pdf https://doaj.org/toc/2261-236X 2261-236X doi:10.1051/matecconf/202338811002 https://doaj.org/article/04f21998c9ae47119d89433fe387aa00 MATEC Web of Conferences, Vol 388, p 11002 (2023) Engineering (General). Civil engineering (General) TA1-2040 article 2023 ftdoajarticles https://doi.org/10.1051/matecconf/202338811002 2024-01-28T01:42:05Z In recent years, transport-related accidents, notably those involving trackless mobile machinery (TMM), have consistently ranked among the top three causes of fatalities and injuries in the South African mining industry (SAMI) [1]. These accidents arise from a combination of mechanical and technical malfunctions, environmental factors, and human or machine operator errors. Remarkably, these incidents persist despite the existence of specific regulations, standards, and codes of practice for transportation and machinery. This paper introduces a digital twin framework for TMM, which employs a systems engineering approach combined with software tools and computational analysis. This framework aims to enhance the current regulations by offering a continuous, quantitative risk assessment. By modelling and detecting non-conformance and adverse vehicle interaction events, the framework provides a quantitative risk analysis that complements the prevailing qualitative methods reliant on historical data and operational experience. A case study conducted at the CSIR main campus in Pretoria showcases the potential of the TMM Digital Twin. Article in Journal/Newspaper sami Directory of Open Access Journals: DOAJ Articles MATEC Web of Conferences 388 11002 |
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Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
language |
English French |
topic |
Engineering (General). Civil engineering (General) TA1-2040 |
spellingShingle |
Engineering (General). Civil engineering (General) TA1-2040 Verster Jaco Roux Pieter Magweregwede Fleckson de Ronde Willis Crafford Gerrie Mashaba Musa Turundu Safiya Mpofu Mvikeli Prinsloo Jacobus Ferreira Pieta Brodner Hartmut A digital twin framework to support vehicle interaction risk management in the mining industry |
topic_facet |
Engineering (General). Civil engineering (General) TA1-2040 |
description |
In recent years, transport-related accidents, notably those involving trackless mobile machinery (TMM), have consistently ranked among the top three causes of fatalities and injuries in the South African mining industry (SAMI) [1]. These accidents arise from a combination of mechanical and technical malfunctions, environmental factors, and human or machine operator errors. Remarkably, these incidents persist despite the existence of specific regulations, standards, and codes of practice for transportation and machinery. This paper introduces a digital twin framework for TMM, which employs a systems engineering approach combined with software tools and computational analysis. This framework aims to enhance the current regulations by offering a continuous, quantitative risk assessment. By modelling and detecting non-conformance and adverse vehicle interaction events, the framework provides a quantitative risk analysis that complements the prevailing qualitative methods reliant on historical data and operational experience. A case study conducted at the CSIR main campus in Pretoria showcases the potential of the TMM Digital Twin. |
format |
Article in Journal/Newspaper |
author |
Verster Jaco Roux Pieter Magweregwede Fleckson de Ronde Willis Crafford Gerrie Mashaba Musa Turundu Safiya Mpofu Mvikeli Prinsloo Jacobus Ferreira Pieta Brodner Hartmut |
author_facet |
Verster Jaco Roux Pieter Magweregwede Fleckson de Ronde Willis Crafford Gerrie Mashaba Musa Turundu Safiya Mpofu Mvikeli Prinsloo Jacobus Ferreira Pieta Brodner Hartmut |
author_sort |
Verster Jaco |
title |
A digital twin framework to support vehicle interaction risk management in the mining industry |
title_short |
A digital twin framework to support vehicle interaction risk management in the mining industry |
title_full |
A digital twin framework to support vehicle interaction risk management in the mining industry |
title_fullStr |
A digital twin framework to support vehicle interaction risk management in the mining industry |
title_full_unstemmed |
A digital twin framework to support vehicle interaction risk management in the mining industry |
title_sort |
digital twin framework to support vehicle interaction risk management in the mining industry |
publisher |
EDP Sciences |
publishDate |
2023 |
url |
https://doi.org/10.1051/matecconf/202338811002 https://doaj.org/article/04f21998c9ae47119d89433fe387aa00 |
genre |
sami |
genre_facet |
sami |
op_source |
MATEC Web of Conferences, Vol 388, p 11002 (2023) |
op_relation |
https://www.matec-conferences.org/articles/matecconf/pdf/2023/15/matecconf_rapdasa2023_11002.pdf https://doaj.org/toc/2261-236X 2261-236X doi:10.1051/matecconf/202338811002 https://doaj.org/article/04f21998c9ae47119d89433fe387aa00 |
op_doi |
https://doi.org/10.1051/matecconf/202338811002 |
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MATEC Web of Conferences |
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388 |
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11002 |
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1792054330296107008 |