Abstract:
Roof accident is a major hidden danger in the safety production of coal mines in China.It is an urgent problem to carry out the safety assessment of roof disaster and identify the risk of roof disaster.On the basis of literature research, this paper analyzes the influencing factors of roof disaster, constructs the safety evaluation index system of roof disaster from three aspects of natural factors, technical factors and management factors, quantifies each evaluation index by combining expert opinions, and evaluates the safety level of roof disaster in China by
K-means clustering and Bayesian discrimination.The actual sample data of coal mine is the research object to carry out empirical analysis.The research results show that the safety evaluation method based on
K-means clustering and Bayesian discrimination has high accuracy and can be used to quantitatively describe the risk of coal mine roof disaster, which has a certain application prospect.