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Safe Integration of Autonomous Machines in Underground Mining Environments
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-7235-6888
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
2022 (English)In: ISSE 2022 - 2022 8th IEEE International Symposium on Systems Engineering, Conference Proceedings, Institute of Electrical and Electronics Engineers Inc. , 2022Conference paper, Published paper (Refereed)
Abstract [en]

Autonomous and Semi-Autonomous Machines (ASAMs) provide several benefits and have already emerged in mining environments. However, for cost-efficiency reasons and for ASAMs to reach their full potential, they should be capable of operating seamlessly with manually operated machines. Establishing the requirements for sufficient safety for such integration is a non-Trivial task. This paper proposes a methodology for safely integrating ASAMs in underground mining environments. First, we describe the purpose of the integration and define the constituent components. Second, we identify the conditions that ASAMs will likely encounter using ODD-UM, an operational design domain specification for underground mining. Third, we derive high-level requirements for individual components based on ODD-UM attributes. Such requirements are allocated into the constituent components and considered as assumptions for the safety analysis. Fourth, we perform STPA (System-Theoretic Process Analysis) to analyze safety-related control requirements for the integrated system. Our methodology could help the system integrator to systematically identify integration requirements to be enforced in constituent components and safety control systems. Index Terms-Underground Autonomous Mining, Integration Requirements, ODD-UM, STPA, Safety-guided Design.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2022.
Keywords [en]
Mining, Autonomous machines, Condition, Cost-efficiency, Design domains, Integration requirements, Mining environments, Non-trivial tasks, Operational design, Process analysis, Underground mining, Integration
National Category
Civil Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-61802DOI: 10.1109/ISSE54508.2022.10005369ISI: 000947798100015Scopus ID: 2-s2.0-85146930516ISBN: 9781665481823 (print)OAI: oai:DiVA.org:mdh-61802DiVA, id: diva2:1735205
Conference
8th IEEE International Symposium on Systems Engineering, ISSE 2022, 24 October 2022 through 26 October 2022
Available from: 2023-02-08 Created: 2023-02-08 Last updated: 2023-04-12Bibliographically approved

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Castellanos Ardila, Julieth PatriciaHansson, Hans

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  • apa
  • ieee
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Output format
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  • asciidoc
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