基于EMD-VMD-LSTM预测算法的高桩码头结构安全预警方法*

基于高桩码头健康监测数据，针对存在复杂环境因素影响监测精度问题，提出EMD-VMD-LSTM组合算法处理并预测高桩码头结构中的监测信息，通过对比分析验证在高桩码头结构现场监测大数据的预测预警分析中采用EMD-VMD-LSTM 组合算法的可行性。同时，基于EMD-VMD-LSTM方法和固定预警阈值，提出动态预警阈值的确定方法，设计动静态预警结合的高桩码头结构预警方法，构建多指标、多层次的高桩码头结构安全预警体系以及相应的预警流程。研究成果可以提升高桩码头结构安全预警的准确性和效率，也可为类似工程结构的安全预警管理提供一定的参考。

Safety warning method for high-pile wharf structures based on EMD-VMD-LSTM prediction algorithm

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.