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A study on the City-gas Pipeline Management System by Reliability Based Design and Assessment

신뢰도평가 기반 도시가스배관 종합관리시스템 구축 연구

  • Oh, Dong-Seok (Institute of Gas Safety R&D, Korea Gas Safety corporation) ;
  • Lee, Jin-Han (Institute of Gas Safety R&D, Korea Gas Safety corporation)
  • 오동석 (한국가스안전공사 가스안전연구원) ;
  • 이진한 (한국가스안전공사 가스안전연구원)
  • Received : 2018.11.26
  • Accepted : 2018.12.21
  • Published : 2018.12.31

Abstract

For efficiently safety management of city gas pipelines, the City-gas Pipeline Management System(CPMS) has been developed to systematically manage and analyze the data collected from 33 city gas companies and to effectively perform internal and external affairs related to gas safety management. The piping information data uploaded to the CPMS is ranked the risk according to the criteria specified in the KGS Code, and the safety management of the piping has performed close inspection according to the risk ranking. However, the criteria for deriving the risk ranking is very simple and lacks relevant grounds, and the reliability for the determination of the close inspection pipeline is no high due to the redundant rank. Therefore, we developed a risk assessment program based on the Reliability Based Design Assessment(RBDA) methodology and tried to derive a reasonable risk ranking by linking it with the CPMS system.

도시가스배관에 대한 효율적인 안전관리를 위해서 33개 도시가스사로부터 입력된 데이터를 체계적으로 관리하고 분석함으로써, 가스안전관리 관련 대내 외적 업무를 효과적으로 수행하기 위하여 도시가스배관 종합관리시스템을 구축하였다. 시스템에 업로드된 배관정보 데이터는 KGS Code에 명시된 기준에 의해서 위험지수로 표현되고, 이를 통하여 진단우선순위가 도출됨으로써 배관 안전관리가 수행되고 있다. 하지만 위험지수를 선정하는 배점방식이 매우 단순하고 관련 근거도 부족할 뿐만 아니라, 다수의 중복 순위로 인해 진단대상 선정에 대한 신뢰성이 높지 않다. 이에 신뢰도 기반 설계 및 평가법을 기반으로 한 프로그램을 개발하여 합리적으로 위험도 및 위험순위를 도출하였다.

Keywords

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Fig. 1. Overview of RBDA process.

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Fig. 2. Target reliability by CSA Z662[5].

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Fig. 3. Procedures for determining surviving defects following inspection, excavation and repair.

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Fig. 5. CPMS program partial screen.

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Fig. 6. Composition of risk-based ranking program.

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Fig. 8. Change the inspection order of piping by risk ranking(example).

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Fig. 7. Factor management for calculating risk.

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Fig. 8. Ranking result by risk calculation.

Table 1. Criteria for computation of risk ranking

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Table 2. Input values for basic events of fault tree

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Table 3. Input variable distributions for mechanical damage[11]

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Table 4. Input variable distributions for external corrosion

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