Causative association analysis of coal mine roof accidents based on SIF model and Apriori algorithm

Abstract

In order to prevent the occurrence of coal mine roof accidents more scientifically, it is crucial to identify the causal factors of coal mine roof accidents and their association rules. First, 56 causal factors affecting the occurrence of roof accidents were identified through text mining and combined with the SIF accident causal model. Second, we constructed a roof accident database and utilized the Apriori algorithm to mine the association rules of roof accidents. Finally, the complex network diagram of the causal factors of roof accidents was drawn, and the core causal factors of roof accidents and the correlation rules between the causal factors were comprehensively analyzed. The results show that there is a high degree of correlation and enhancement between safety training and education, safety supervision and management, low safety awareness and violation of work procedures by operators, inadequate management of the on-duty management and other causes of accidents, and these factors are the core factors causing roof accidents in coal mines.

Keywords

• roof accident
• sif model
• association rules
• complex network diagram
• apriori algorithm
• accident cause