Based on the health monitoring data of the high-pile wharf,aiming at the problem that complex environmental factors affect the monitoring accuracy,this paper proposes an EMD-VMD-LSTM combined algorithm to process and predict the monitoring information in the high-pile wharf structure,and it verifies the feasibility of using the EMD-VMD-LSTM combined algorithm for prediction and early warning analysis of large-scale monitoring data in the field of high-pile wharf structure through comparative analysis.At the same time,based on the EMD-VMD-LSTM method and a fixed warning threshold,a method for determining dynamic warning thresholds is proposed,the early warning method combining static and dynamic warning is designed,and a multi-index and multi-level high-pile wharf structure safety warning system and corresponding warning process are constructed.The research results can improve the accuracy and efficiency of safety early warning of high-pile wharf structure,and also provide a certain reference for the safety early-warning management of similar engineering structures.