Abstract: Frequent metal mine accidents have brought great harm to society and caused great economic losses. In order
to effectively prevent accidents,30 typical metal mine casualty accidents in the past ten years (from 2014 to 2023) were analyzed
from four levels:direct cause,indirect cause,root cause and root cause,using 2-4 model analysis method,and Apriori algorithm
was used to mine the correlation between direct cause factors. The results show that there are 288 unsafe movements of
18 kinds and 204 unsafe physical states of 15 kinds in 30 metal mine accidents. Through calculation,it is found that non-compliance
with operating regulations is the node most closely related to other risk items in the accident,and the association rules
with confidence greater than 80% are listed. The lack of safety culture in the industry makes the safety management system of
enterprises imperfect,and then affects the development of safety awareness and safety habits of employees,resulting in unsafe
behaviors of individuals or unsafe conditions of ignoring the production environment. Metal mine accident prevention needs the
whole industry to implement the safety policy and reinforce the safety culture atmosphere. At the same time,enterprises should
focus on improving the safety management system and training mechanism,strengthen the safety construction of the operating
environment,and improve the safety literacy of employees.