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Developing Risk Analysis Methods for Realtime RiskMAP System

실시간 위험지도 시스템을 위한 위험분석 기법 개발

  • Park, Sang Bae (Institute of Gas Safety R&D, Korea Gas Safety Corporation) ;
  • Lee, Chang Jun (Dept. of Safety Engineering, Pukyong National University) ;
  • Joo, Yu Kyoung (Institute of Gas Safety R&D, Korea Gas Safety Corporation) ;
  • Oh, Jeong Seok (Institute of Gas Safety R&D, Korea Gas Safety Corporation)
  • Received : 2020.04.06
  • Accepted : 2020.06.12
  • Published : 2020.06.30

Abstract

For preventing accident, the risk analysis about gas facilities has been more important since many gas facilities be superannuated. Especially, deriving and simulating risk is very important for preventing and corresponding accidents by means of specific analysis method in complex gas facilities. However, many studies have been not enough not yet in order to derive and simulate risk considering various situations. This paper aims to propose deriving and analyzing risk method around limited area of complex gas facilities. Our study proposes total risk analysis that is composed four methods with individual point of view. The risk analysis system based on RiskMAP immediately informs users changes of e risk in zones according to the status, work and surrounding conditions of the facility. The proposed methods in this research are implemented as software algorithm and applied to risk analysis system using RiskMAP in conjunction with IoT and GPS.

많은 가스 시설들이 노후화 되고 있으므로 사고를 미연에 방지하기 위한 가스시설의 위험분석은 더욱 중요해 지고 있다. 특히, 위험을 도출하고 분석하는 것은 복잡한 가스시설을 위한 사고예방과 사고방지에 매우 중요하다. 그러나 여러 가지 상황을 고려해 위험을 도출하고 분석하는 연구가 아직 충분히 이루어지지 않았다. 본 논문은 복잡한 가스 시설에서 구역별로 위험을 도출하고 분석하는 것을 목적으로 한다. 각 구역은 서로 다른 관점의 방법의 위험분석 기법을 적용하여 위험도를 산출하며 구역별 하나의 위험등급으로 통합한다. 위험지도(RiskMAP) 기반 위험 분석 시스템은 시설의 상태, 작업 및 주변 현황에 따라 구역의 위험변화를 즉시 사용자에게 알려준다. 본 연구에서 제안된 기법은 소프트웨어적 알고리즘으로 구현되고 본 연구에서 IoT와 GPS와 연계되어 위험지도기반 위험 분석 시스템에 적용된다.

Keywords

References

  1. Daniel, A., and Louvar, J. F., Chemical Risk Analysis: Fundamentals with Application, Prientice Hall, (1990)
  2. Oh, J, S, Sung, J. G., and Kwon, J. R., "A Study on Autonomic Decision Method for Smart Gas Environment in Korea", Advances in Intelligent and Soft Computing, 72, 1-9, (2010) https://doi.org/10.1007/978-3-642-13268-1_1
  3. "Guidelines for Consequence Analysis of Chemical Releases", CCPS
  4. "Methods for Calculation of Physical Effects", TNO Yellow Book, (2005)
  5. "Chemical Process Safety : Fundamentals with Applications",Danel A,Crow ․ Joseph F, Louvar
  6. Lee, U. Y. and Oh, J. S., "A Study on Natural Gas Dispersion Modeling for Gas Safety Platform Development ", International Journal of Control and Automation, 10(12), 147-164, (2017) https://doi.org/10.14257/ijca.2017.10.12.14
  7. Oh, J. S., "A Study on Deriving and Simulating Pre-risk on Complex Gas Facilities for Preventing Accidents", Communications in Computer and Information Science, 931, 268-273, (2019) https://doi.org/10.1007/978-981-13-5907-1_28
  8. Yang, Z, Wang, J. Rochid, M., and Belkacem, O., "Bayesian modeling for human error Probability Analysis in CREAM", Internatonal Conference on Quality, Reliability, Risk Maintenance, and Safety Engineering, June, (2011)