China Safety Science Journal ›› 2023, Vol. 33 ›› Issue (2): 202-208.doi: 10.16265/j.cnki.issn1003-3033.2023.02.0420

Previous Articles     Next Articles

Scenario deduction of fire accidents in electroplating enterprises based on Bayesian network

MA Gang(), XU Xiaonan**(), GUO Xiaofang, ZHANG Zhizhen, XU Zihao   

  1. School of Emergency Management and Safety Engineering, China University of Mining & Technology (Beijing), Beijing 100083, China
  • Received:2022-09-20 Revised:2022-12-10 Online:2023-02-28 Published:2023-08-28

Abstract:

In order to effectively solve the problems of complex scenario evolution path and difficult firefighting in electroplating enterprises fire accident, and improve the emergency response ability of electroplating fire, the method of combining scenario analysis and BN was used to deduce the evolution path of electroplating enterprises fire. Firstly, the characteristics of electroplating fire were analyzed, and four scenario elements, including scenario status, emergency drive, disaster bearing elements and disposal objectives, were determined. Then, the relationship between scenarios was determined based on BN. The D-S evidence theory was used to process and optimize. A fire scenario deduction model was built for electroplating enterprises. Finally, taking an electroplating fire as an example, the status probability of each node was obtained through Netica software to find out the development trend and scenario evolution path of the accident. The results show that among all possible evolution paths of the accident, preheat the tank for fire (Scenario S1) is the scenario with the highest probability of accident occurrence, with a probability of 81.2%.Effective measures should be taken here to make the probability of fire disappearance reach 62.3%.

Key words: electroplating enterprises, fire accidents, scenario deduction, Bayesian network(BN), D-S evidence theory