Journal of the Korea Society of Computer and Information (한국컴퓨터정보학회논문지)

Korean Society of Computer Information (한국컴퓨터정보학회)
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An Ontology-Based Hazard Analysis and Risk Assessment for automotive functional safety

자동차 기능안전성을 위한 온톨로지 기반의 위험원 분석 및 위험 평가

  • Roh, Kyung-Hyun (Dept. of Computer Science and Engineering, Dongguk University-Seoul) ;
  • Lee, Keum-Suk (Dept. of Computer Science and Engineering, Dongguk University-Seoul)
  • 노현경 (동국대학교 컴퓨터공학과-서울) ;
  • 이금석 (동국대학교 컴퓨터공학과-서울)
  • Received : 2015.01.28
  • Accepted : 2015.02.12
  • Published : 2015.03.31
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Abstract

The ISO 26262 standard requires a preliminary hazard analysis and risk assesment early in the development for automotive system. This is a first step for the development of an automotive system to determine the necessary safety measures to be implemented for a certain function. In this paper, we propose an ontology-based hazard analysis and risk assessment method for automotive functional safety. We use ontology to model the hazard and SWRL(Semantic Web Language) to describe risk analysis. The applicability of the proposed method is evaluated by the case study of an ESCL(electronic steering column lock) system. The result show that ontology deduction is useful for improving consistency and accuracy of hazard analysis and risk assessment.

본 논문에서는 자동차 기능안전 표준인 ISO 26262에서 요구하는 위험원 분석 및 위험 평가에서 온톨로지와 추론 규칙을 적용하는 방법을 제안한다. 위험원 분석 및 위험 평가는 일반적으로 수작업으로 수행되어 많은 노력이 소요되고 오류가 발생하기 쉬우며 일관성과 정확성이 부족한 문제점이 있다. 이러한 문제를 해결하기 위해서 본 논문에서는 위험원을 온톨로지로 표현하고, 평가를 위한 온톨로지 규칙을 정의하여 자동화하고 일관성 및 정확성 문제를 개선한다. 본 제안 방법을 검증하기 위해서 ESCL(electronic steering column lock) 시스템에 적용하였다. 온톨로지 규칙 적용 결과를 DL(Description Logics) Query를 실행하여 제대로 동작하는지 확인하였으며, 이를 통해 위험 평가 시에 발생할 수 있는 오류를 파악할 수 있었다.

Keywords

References

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