Qualitative and quantitative analysis of coal mine accident causes based on complex networks and Bayesian networks
Based on an in-depth analysis of the occurrence process and cause theories of coal mine accidents,this study creatively constructs an accident cause model using the 2-4 model,association rules,complex net-works,and Bayesian networks,and conducts both qualitative and quantitative analyses.Taking roof accidents in coal mines in a certain region of China as an example,the study first uses the 2-4 model and association rule analysis to obtain accident cause chains and causal factors.Second,complex network modeling is conducted based on the cause chains,and the Bayesian network model is constructed based on the causes.Finally,on the basis of model analysis,and verification is carried out to demonstrate the effectiveness of both models in cause a-nalysis.Furthermore,practical and effective suggestions for preventing coal mine accidents are proposed.
cause of the accidentBayesian networkcomplex networkassociation rules
NETL
NSTL
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