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2023
Conference Paper
Title

Specialties of HAZID-Study for Large Unmanned Underwater Vehicles

Abstract
This paper scopes the specialties of a hazard identification study for large and extra-large unmanned undersea vehicles (UUVs). A generic node/function structure is derived from different large and extra-large UUV designs, partially own vehicle designs from research projects, and partially from commercial vehicles. For each node, a short overview of its components and the proper function or operations is defined. A set of guide words is used to prompt a hazard discussion for each node, which identifies unwanted functions, resulting in potential hazards and unmitigated consequences. Related to the SafeMASS-Report from DNV, this work concentrates on selected topics of the bridge-related function on voyage, control & monitoring, and abnormal situations. For unmanned vehicles without any person on board, these three topics become more important for underwater vehicles with very limited connectivity or temporary disruptions of communication whereby an operator in a remote-control center could only be provided with rough vehicle or mission states. Therefore, vehicle control, whether in hard- or software, must handle most tasks belonging to the considered functions automatically or autonomously. Hence, the most appropriate reactions of the system to unwanted system behavior must be implemented. This HAZID study could, on the one hand, be used as background for such an implementation, and on the other hand, it is used to verify the implemented actions on the risks and hazards.
Author(s)
Ritz, Sebastian
Technische Universität Berlin
Loewe, Anna
Bundesanstalt für Materialforschung und -Prüfung
Bauer, Jan
Fraunhofer-Institut für Kommunikation, Informationsverarbeitung und Ergonomie FKIE  
Mainwork
OCEANS 2023 Limerick  
Conference
OCEANS Conference & Exposition 2023  
DOI
10.1109/OCEANSLimerick52467.2023.10244358
Language
English
Fraunhofer-Institut für Kommunikation, Informationsverarbeitung und Ergonomie FKIE  
Keyword(s)
  • autonomous system

  • cyber security

  • HAZID

  • risk-based design

  • safety

  • XLUUV

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