Design and Implementation of Intelligent Analysis and Prediction System for Short and Imminent Aftershock of Moderate and Strong Earthquakes
In view of the frequent global seismic activity and the destructive power of early aftershocks after moderate and strong earthquakes,in order to solve the problems of single algorithm,discrete function and insufficient visualization system in the existing aftershock prediction system,this paper is based on the mainstream Web framework technology and machine learning algorithm of Vue,SpringBoot and Django.An aftershock intelligent analysis and prediction system is designed and implemented,which inte-grates data uploading,data generation,data visualization,model training and prediction evaluation.It allows users to generate train-ing data sets through dynamic mechanism,and through user-defined algorithm mechanism and model dynamic selection mechanism.Users can directly write algorithms in the system to train prediction models.At the same time,the current mainstream EChart data large screen is used to dynamically visualize key seismic data,which significantly improves the intuitions of seismic data analysis and user experience.It provides a set of platform system with high usability for researchers in the field of aftershock prediction,and provides support for research in the field of earthquake and short aftershock of moderate and strong earthquakes.
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