Safety qualification process for autonomous ship concept demonstration

Research output: ThesisMaster's thesisTheses

Abstract

Increasing level of automation is a clear global trend in traffic, and as a part of thistransformation, also maritime transport is foreseen to face substantial changes.Together with the advances in autonomous technologies, the set of economic, social andenvironmental challenges in the maritime setting is expected eventually to lead to thedevelopment of increasingly autonomous ships.The emergence of these novel technologies brings along a new set of risks and potentialhazards, as well as needs for changes in controlling the risks to safe operation. To ensureeffective control of these risks, and to acquire permissions to test and finally to routinelyoperate autonomous vessels at sea, a robust safety qualification process is required. Thesafety qualification process defines what evidence about the system’s safety needs to beproduced, how this evidence should be collected, and establishes a comprehensible linkbetween the evidence and the system’s safety requirements.In this thesis, the concept of safety qualification is explored in the maritime setting,starting with a literature research on methods of managing risk and qualifying safety inthe maritime domain. Based on the literature research, a safety qualification process isproposed for a vessel used to demonstrate autonomous operation at sea. The proposedprocess uses a goal-based methodology, where the functionality of the system for safeperformance is represented as a set of goals to be fulfilled and strategies for achievingthese goals. The method establishes a link between the safety arguments and the safetyevidence to be produced. Goal Structuring Notation (GSN) argument modeling languageis used for visualizing the results as a structured safety case.Finally, the developed process is applied in a case study, in which an autonomousoperation concept for a prototype vessel is assessed using the early stages of thequalification process. As a result, a goal-based model of safe operation of the vessel isproduced. The goal-based model is suitable to be used as a basis for collecting the safetyevidence about the system, as well as for presenting it in a structured manner as thetechnology development advances.
Original languageEnglish
QualificationMaster Degree
Awarding Institution
  • Aalto University
Supervisors/Advisors
  • Kuosmanen, Petri, Supervisor, External person
  • Kujala, Pentti, Advisor, External person
  • Tuominen, Risto, Advisor
Award date21 Nov 2016
Publisher
Publication statusPublished - 21 Nov 2016
MoE publication typeG2 Master's thesis, polytechnic Master's thesis

Fingerprint

Ships
Demonstrations
Security systems
Automation
Economics

Keywords

  • technology qualification
  • traffic automation
  • autonomous systems
  • autonomous marine traffic
  • autonomous navigation
  • unmanned ship

Cite this

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title = "Safety qualification process for autonomous ship concept demonstration",
abstract = "Increasing level of automation is a clear global trend in traffic, and as a part of thistransformation, also maritime transport is foreseen to face substantial changes.Together with the advances in autonomous technologies, the set of economic, social andenvironmental challenges in the maritime setting is expected eventually to lead to thedevelopment of increasingly autonomous ships.The emergence of these novel technologies brings along a new set of risks and potentialhazards, as well as needs for changes in controlling the risks to safe operation. To ensureeffective control of these risks, and to acquire permissions to test and finally to routinelyoperate autonomous vessels at sea, a robust safety qualification process is required. Thesafety qualification process defines what evidence about the system’s safety needs to beproduced, how this evidence should be collected, and establishes a comprehensible linkbetween the evidence and the system’s safety requirements.In this thesis, the concept of safety qualification is explored in the maritime setting,starting with a literature research on methods of managing risk and qualifying safety inthe maritime domain. Based on the literature research, a safety qualification process isproposed for a vessel used to demonstrate autonomous operation at sea. The proposedprocess uses a goal-based methodology, where the functionality of the system for safeperformance is represented as a set of goals to be fulfilled and strategies for achievingthese goals. The method establishes a link between the safety arguments and the safetyevidence to be produced. Goal Structuring Notation (GSN) argument modeling languageis used for visualizing the results as a structured safety case.Finally, the developed process is applied in a case study, in which an autonomousoperation concept for a prototype vessel is assessed using the early stages of thequalification process. As a result, a goal-based model of safe operation of the vessel isproduced. The goal-based model is suitable to be used as a basis for collecting the safetyevidence about the system, as well as for presenting it in a structured manner as thetechnology development advances.",
keywords = "technology qualification, traffic automation, autonomous systems, autonomous marine traffic, autonomous navigation, unmanned ship",
author = "Eetu Heikkil{\"a}",
year = "2016",
month = "11",
day = "21",
language = "English",
publisher = "Aalto University",
address = "Finland",
school = "Aalto University",

}

Safety qualification process for autonomous ship concept demonstration. / Heikkilä, Eetu.

Aalto University, 2016. 72 p.

Research output: ThesisMaster's thesisTheses

TY - THES

T1 - Safety qualification process for autonomous ship concept demonstration

AU - Heikkilä, Eetu

PY - 2016/11/21

Y1 - 2016/11/21

N2 - Increasing level of automation is a clear global trend in traffic, and as a part of thistransformation, also maritime transport is foreseen to face substantial changes.Together with the advances in autonomous technologies, the set of economic, social andenvironmental challenges in the maritime setting is expected eventually to lead to thedevelopment of increasingly autonomous ships.The emergence of these novel technologies brings along a new set of risks and potentialhazards, as well as needs for changes in controlling the risks to safe operation. To ensureeffective control of these risks, and to acquire permissions to test and finally to routinelyoperate autonomous vessels at sea, a robust safety qualification process is required. Thesafety qualification process defines what evidence about the system’s safety needs to beproduced, how this evidence should be collected, and establishes a comprehensible linkbetween the evidence and the system’s safety requirements.In this thesis, the concept of safety qualification is explored in the maritime setting,starting with a literature research on methods of managing risk and qualifying safety inthe maritime domain. Based on the literature research, a safety qualification process isproposed for a vessel used to demonstrate autonomous operation at sea. The proposedprocess uses a goal-based methodology, where the functionality of the system for safeperformance is represented as a set of goals to be fulfilled and strategies for achievingthese goals. The method establishes a link between the safety arguments and the safetyevidence to be produced. Goal Structuring Notation (GSN) argument modeling languageis used for visualizing the results as a structured safety case.Finally, the developed process is applied in a case study, in which an autonomousoperation concept for a prototype vessel is assessed using the early stages of thequalification process. As a result, a goal-based model of safe operation of the vessel isproduced. The goal-based model is suitable to be used as a basis for collecting the safetyevidence about the system, as well as for presenting it in a structured manner as thetechnology development advances.

AB - Increasing level of automation is a clear global trend in traffic, and as a part of thistransformation, also maritime transport is foreseen to face substantial changes.Together with the advances in autonomous technologies, the set of economic, social andenvironmental challenges in the maritime setting is expected eventually to lead to thedevelopment of increasingly autonomous ships.The emergence of these novel technologies brings along a new set of risks and potentialhazards, as well as needs for changes in controlling the risks to safe operation. To ensureeffective control of these risks, and to acquire permissions to test and finally to routinelyoperate autonomous vessels at sea, a robust safety qualification process is required. Thesafety qualification process defines what evidence about the system’s safety needs to beproduced, how this evidence should be collected, and establishes a comprehensible linkbetween the evidence and the system’s safety requirements.In this thesis, the concept of safety qualification is explored in the maritime setting,starting with a literature research on methods of managing risk and qualifying safety inthe maritime domain. Based on the literature research, a safety qualification process isproposed for a vessel used to demonstrate autonomous operation at sea. The proposedprocess uses a goal-based methodology, where the functionality of the system for safeperformance is represented as a set of goals to be fulfilled and strategies for achievingthese goals. The method establishes a link between the safety arguments and the safetyevidence to be produced. Goal Structuring Notation (GSN) argument modeling languageis used for visualizing the results as a structured safety case.Finally, the developed process is applied in a case study, in which an autonomousoperation concept for a prototype vessel is assessed using the early stages of thequalification process. As a result, a goal-based model of safe operation of the vessel isproduced. The goal-based model is suitable to be used as a basis for collecting the safetyevidence about the system, as well as for presenting it in a structured manner as thetechnology development advances.

KW - technology qualification

KW - traffic automation

KW - autonomous systems

KW - autonomous marine traffic

KW - autonomous navigation

KW - unmanned ship

M3 - Master's thesis

PB - Aalto University

ER -