China Safety Science Journal ›› 2023, Vol. 33 ›› Issue (5): 88-95.doi: 10.16265/j.cnki.issn1003-3033.2023.05.1382

• Safety social science and safety management • Previous Articles     Next Articles

Semi-quantitative analysis of safety duties in confined space operations based on FRAM

WANG Hanyu1(), TAN Qinwen1,2   

  1. 1 School of Environment and Resources, Southwest University of Science and Technology, Mianyang Sichuan 621010, China
    2 Key Laboratory of Non-coal Mine Safety Technology in Sichuan Higher Education Institutions, Southwest University of Science and Technology, Mianyang Sichuan 621010, China
  • Received:2022-12-16 Revised:2023-03-11 Online:2023-05-28 Published:2023-11-28

Abstract:

FRAM was introduced to build a semi-quantitative analysis model of operation security duty relation in order to solve problems such as the fuzzy boundary of security duty of operation-related personnel and the unclear interaction of multi-post and multi-link security duty in the process of performing duties. Quantifying the upstream and downstream coupling variability of the functional units clarified the influence mechanism of coupling among the functional parts of the system. The findings demonstrate that the global system variability value of safety responsibilities for 6 parties involved in confined space operations based on FRAM is 1.99×1010, and the input variability impact values for downstream functional units F5(Operators)and F6(Emergency responders)are 171.5 and 250, respectively. The coupling variation of upstream functional units has a significant impact on the system and is prone to adverse accident consequences. Combined with the functional resonance results of the analysis of 8 types of critical impact factors for confined space operations, effective barrier measures such as strengthening operational safety inputs are proposed for 2 upstream functional units and 6 failure chains.

Key words: functional resonance analysis method(FRAM), confined space operations, safety duties, semi-quantitative analysis, coupling variability