Abstract: In order to systematically analyze the accidents of coal mine hoisting and transportation system, a risk analysis method based on Bayesian network and pre-hazard analysis (BN-PHA) is proposed. Firstly, Using GeNle software, the risk Bayesian network structure of the transportation system is constructed, and its two-way reasoning ability is used to identify the Bayesian risk nodes that are most likely to cause transportation accidents. Then, the risk of the accident nodes is analyzed in advance, the causes and possible results of the accident are analyzed, and the corresponding rectification measures are put forward. The results show that: illegal traffic, signal device failure, illegal driving, overweight and overspeed and connector failure are the most likely risk factors causing coal mine lifting transportation accidents, and the countermeasures to prevent these risks are put forward to provide reference for the safe and effective operation of coal mine transportation system.