Arguing Operational Safety for Mixed Traffic in Underground Mining
2023 (English)In: 2023 18th Annual System of Systems Engineering Conference, SoSe 2023, Institute of Electrical and Electronics Engineers Inc. , 2023Conference paper, Published paper (Refereed)
Abstract [en]
Practitioners report improved productivity as one of the main benefits of using autonomous dump trucks in underground mining. However, manned vehicles are still needed to transport materials and personnel in the tunnels, which requires practices that may diminish autonomy benefits. Thus, both fleets shall be efficiently mixed to maximize the autonomy potential. In addition, sufficient safety shall be demonstrated for operations approval. This paper proposes a strategy to populate a GSN (Goal Structuring Notation) structure to argue for the sufficient safety of mixed traffic operations in underground mining. Our strategy considers SoS (System of Systems) concepts to describe the operations baseline and the initial argumentation line, i.e., risk reduction mitigation strategies for existing SoS components. Such a strategy is further detailed with risk reduction mitigation arguments for control systems. Mitigation strategies at both levels are derived from safety analysis supported by STPA (System-Theoretic Process Analysis), a safety analysis technique that aligns well with the SoS perspective. We also incorporate regulatory frameworks addressing machinery to align the arguments with mandatory statements of the machinery directive. Our strategy combines SoS concepts with analysis techniques and regulatory frameworks to facilitate safety case argumentation for operations approval in the European mining context.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2023.
Keywords [en]
GSN, Harmonized Standards, Machinery Directive, Mixed Traffic, Safety Case Arguments, SoS, STPA, Mining, Safety engineering, Goal structuring notation, Process analysis, Safety case, Safety case argument, System-of-systems, System-theoretic process analyse, Underground mining, Mine trucks
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-63961DOI: 10.1109/SoSE59841.2023.10178525Scopus ID: 2-s2.0-85166732836ISBN: 9798350327236 (print)OAI: oai:DiVA.org:mdh-63961DiVA, id: diva2:1788270
Conference
2023 18th Annual System of Systems Engineering Conference, SoSe 2023, Lille 14 June 2023 through 16 June 2023
2023-08-162023-08-162023-08-16Bibliographically approved