The traditional method of alarming high-speed rail traffic in gale is based on an instantaneous threshold. Although it covers all alarm events, there are a lot of unnecessary alarms, which affect the efficiency of high-speed rail traffic. An early warning method based on sequence pattern was proposed. It aimed at mining frequent patterns in the preorder data and finding out the changing rules of alarm events. The unique sequence characteristics of early warning sequences were obtained by filtering out the public frequent patterns of non-early warning sequences, and a database of early warning patterns was constructed. Through the verification of monitoring data along Lanzhou-Urumchi high-speed railway, the method can improve the accuracy of prediction, and reduce the rate of missing reports concurrently. It reduces the time required for pattern matching effectively, and reserves sufficient time windows for early warning, which can accord more with the practical application requirements.