IDEAS home Printed from https://ideas.repec.org/a/sae/risrel/v238y2024i5p983-994.html
   My bibliography  Save this article

A fire risk assessment system and application for process industry using fuzzy Petri net and HAZID method

Author

Listed:
  • Xingbai Chen
  • Ziyun Wang
  • Cheng Zhang
  • Yue Xiang
  • Yiyang Dai

Abstract

The safety risk assessment of process industries can determine the degree of safety risk and remind or warn safety management personnel to take corresponding measures according to the probability of accidents. In this paper, hazard identification (HAZID) method is combined with fuzzy Petri net to construct a hybrid safety assessment system. Firstly, the fire risk factors of HAZID are determined according to the fire statistics data. By dividing the whole industrial process into four stages, the complex hazard sources in the factory are investigated item by item, thus the fuzzy Petri net of real-time risk assessment is constructed. Taking an acetic acid enterprise as a case, this paper introduces how to construct such a risk assessment system in detail, and the system can dynamically predict the risk with changes in process conditions. This also demonstrates the feasibility of this method, which can be used as a reference for related research.

Suggested Citation

  • Xingbai Chen & Ziyun Wang & Cheng Zhang & Yue Xiang & Yiyang Dai, 2024. "A fire risk assessment system and application for process industry using fuzzy Petri net and HAZID method," Journal of Risk and Reliability, , vol. 238(5), pages 983-994, October.
    • Handle: RePEc:sae:risrel:v:238:y:2024:i:5:p:983-994
    DOI: 10.1177/1748006X231195201
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1748006X231195201
    Download Restriction: no
    File URL: https://libkey.io/10.1177/1748006X231195201?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:risrel:v:238:y:2024:i:5:p:983-994. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.