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A Study on Deriving and Simulating Pre-risk on Complex Gas Facilities for Preventing Accidents

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Parallel and Distributed Computing, Applications and Technologies (PDCAT 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 931))

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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 simulating 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. Furthermore, this research is able to grant the independent grade of risk per logical zone area for simulating and predicting risk to complex gas faculties.

This research was financially supported by the Ministry of Trade, Industry, and Energy (MOTIE), Korea, under the “Regional Specialized Industry Development Program (R&D, P0002072)” supervised by the Korea Institute for Advancement of Technology (KIAT).

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Author information

Authors and Affiliations

  1. Institute of Gas Safety R&D, Korea Gas Safety Corporation, 1390, Wonjung-ro, Maengdong-myeon, Eumseong-gun, Chungcheongbuk-do, Korea

    Jeong Seok Oh

Authors
  1. Jeong Seok Oh
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Correspondence to Jeong Seok Oh .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, Korea (Republic of)

    Jong Hyuk Park

  2. School of Computer Science, University of Adelaide, Adelaide, SA, Australia

    Hong Shen

  3. Department of Multimedia Engineering, Dongguk University, Seoul, Korea (Republic of)

    Yunsick Sung

  4. School of ICT, Griffith University, Gold Coast, Australia

    Hui Tian

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© 2019 Springer Nature Singapore Pte Ltd.

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Oh, J.S. (2019). A Study on Deriving and Simulating Pre-risk on Complex Gas Facilities for Preventing Accidents. In: Park, J., Shen, H., Sung, Y., Tian, H. (eds) Parallel and Distributed Computing, Applications and Technologies. PDCAT 2018. Communications in Computer and Information Science, vol 931. Springer, Singapore. https://doi.org/10.1007/978-981-13-5907-1_28

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  • DOI: https://doi.org/10.1007/978-981-13-5907-1_28

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-5906-4

  • Online ISBN: 978-981-13-5907-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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