Repository logo
ResearchSpace
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Yкраї́нська
  • Log In
    New user? Click here to register.Have you forgotten your password?
Repository logo ResearchSpace
  • Communities & Collections
  • Browse ResearchSpace
  • English
  • Català
  • Čeština
  • Deutsch
  • Español
  • Français
  • Gàidhlig
  • Italiano
  • Latviešu
  • Magyar
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Suomi
  • Svenska
  • Türkçe
  • Tiếng Việt
  • Қазақ
  • বাংলা
  • हिंदी
  • Ελληνικά
  • Yкраї́нська
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Prinsloo, Jacobus V"

Now showing 1 - 1 of 1
Results Per Page
Sort Options
  • No Thumbnail Available
    Item
    A digital twin framework to support vehicle interaction risk management in the mining industry
    (2023-08) Verster, Jacobus J; Roux, Pieter W; Magweregwede, Fleckson; De Ronde, Willis; Crafford, Gerrie; Mashaba, Mathews M; Turundu, Safiya L; Mpofu, Mvikel; Prinsloo, Jacobus V; Ferreira, Pieta; Brodner, Hartmut D
    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.
Quick Links
  • About us
  • Research & development
  • Work with us
  • Hosted sector initiatives
  • Careers
  • Publications
  • Multimedia
  • Contact
  • News
Legislation and compliance
  • Legal notice and disclaimer
  • Privacy notice
  • PAIA manual
  • Site map
  • Tenders
  • CSIR: Copyright
General Enquiries

Tel: + 27 12 841 2911
Email: callcentre@csir.co.za

Physical Address
Meiring Naudé Road
Brummeria
Pretoria
South Africa

Postal Address
PO Box 395
Pretoria 0001
South Africa

Social Connect

facebookyoutubetwitterlinkedininstagram

Copyright © CSIR 2017. All Rights Reserved

Resources on this site are free to download and reuse according to associated licensing provision. Please read the terms and conditions of usage of each resource.

  • Cookie settings
  • Privacy policy
  • End User Agreement
  • Send Feedback