Abstract: To improve the accuracy of early warning for occupational hazards caused by coal mine dust,this study analyzes the influencing factors, establishes a causative model based on the DPSR framework, and develops an early warning index system. The index system comprises six first-level indicators (external supervision,production environment,dust characteristics, occupational health status,dust prevention technical measures,and dust prevention management measures) and 24 second-level indicators. The comprehensive weights of the indicators are determined using the AHP-variable-weight method and an improved entropy weight method. Combined with matter-element extension theory,a warning method for occupational hazards of coal mine dust is proposed. The results show that the weights of the first-level indicators,in descending order,are:dust characteristics, occupational health status,dust prevention management measures,production environment,dust prevention technical measures, and external supervision. Among the secondary indicators,dust concentration,cumulative dust exposure,dust contact time,and free SiO 2 content in dust have relatively high comprehensive weights,with 10 indicators identified as high-warning level. The findings provide a theoretical basis for the risk control and hierarchical early warning of occupational hazards caused by coal mine dust.