Study on the coupling of explosion risk factors in chemical enterprises using Social Network Analysis integrated with the N-K model
To uncover the coupling characteristics of explosion risk factors in chemical enterprises in China and to identify key risk factors,a comprehensive database was created by collecting data on 206 explosion accidents that occurred in these enterprises from 2014 to 2023.Grounded theory and the"4M"accident causation theory were employed to identify 36 risk factors across four dimensions:man,machine,environment,and management.This led to the establishment of a comprehensive risk factor system for explosions in chemical enterprises,with risk coupling categorized into single-factor,double-factor,and multi-factor combinations.Subsequently,the N-K model was utilized to assess the coupling levels of various risk factor combinations,while the Social Network Analysis(SNA)model was employed to analyze the centrality of each risk factor node.Finally,by performing accessibility analysis of the risk factor nodes using the SNA model and integrating the results from the risk factor coupling level measurements with the node centrality calculations,coupling risk values were employed to adjust the closeness centrality of the risk factor nodes within the social network model.The key risk factors for explosion accidents in chemical enterprises were identified,and corresponding prevention and control recommendations were proposed.This study revealed that the coupling level of risk factors is proportional to the number of participating factors,with the highest levels of coupling observed among four primary factors.Furthermore,the impact of personnel-related risks on coupling is notably greater.Factors such as inadequate on-site safety management,insufficient safety risk analysis or hidden hazard investigations,failures in oversight,lapses in safety assessments,environmental evaluations,and other regulatory responsibilities,deficiencies in the change management system,and incomplete safety production information archives have been identified as key risk factors contributing to explosion accidents in chemical enterprises.These areas should be prioritized for prevention efforts.The findings of this research can serve as a valuable reference for enhancing safety measures in chemical enterprises.
safety engineeringexplosion in chemical enterprisesrisk couplingN-K modelsocial network analysis
万方数据
维普
