A Storm Surge Disaster Early Warning System Based on Time Series Analysis

Abstract

The invention discloses a time sequence analysis-based storm surge disaster early warning system, which comprises a database server, an early warning prediction model analysis module, an assistant decision making system, a Web server and a management user, wherein the database server stores historical monitoring data, real-time monitoring data, basic geographic information data, emergency plan data, related calculation model data and early warning data; the monitoring data and the early warning data are time sequence data; the early warning prediction model analysis module is mainly used for preprocessing the data, piecewise linearly expressing the time sequence data to fulfill dimension reduction and compression aims, performing similarity matching on the time sequence data and the historical monitoring data, and performing disaster early warning according to a similarity matching result; and the assistant decision making system displays assistant decision making information on the basis of geographical graphic information, and displays the assistant decision making information to a client of the management user through the deployed Web server.

Description

technical field [0001] The invention relates to a marine storm surge warning system based on time series analysis, in particular to a system and method for analyzing and warning current monitoring data by making full use of historical monitoring data. Background technique [0002] With the rapid development of the global economy and frequent climate changes, global ocean acidification, sea level rise, and frequent marine disasters have occurred. Marine disasters mainly include: storm surges, tsunamis, waves and coastal erosion, red tides, etc. Among them, the frequency of storm surges and the disasters caused by them rank first in my country, and the losses caused account for more than 60% of the losses caused by marine disasters. Land disasters such as earthquakes. [0003] At present, the method used for marine disaster prediction basically adopts the numerical prediction method. The numerical forecasting method is mainly to use large-scale, fast electronic computer to so...

AI Technical Summary

Problems solved by technology

The forecasting process has a huge budget, takes a long time and consumes more resources

In numerical prediction, some small-scale or close to small-scale movements cannot be accurately reflected in the prediction model, and the determination of parameters in the model of the numerical prediction method lacks an objective and accurate method, which leads to the prediction results. reduced accuracy

[0004] At the same time, in the numerical prediction method, the establishment of the model is based on historical disaster data, and the data is relatively small. It is very difficult to simulate a complex system with a single model based on small sample data.

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