以人工智能为导向的地震监测大数据处理平台初步设计与实现

Preliminary Design and Implementation of the AI-Oriented EarthquakeMonitoring Big Data Processing Platform

近年来,地震行业的专家学者纷纷开始尝试应用人工智能技术解决地震识别、震中定位等问题;这个研究过程涉及到对地震监测数据的整理、挑选、标记,从而生成训练和调试人工智能模型所需要的训练/测试数据集。为了提高标记数据的共享性和利用率,本文以人工智能技术应用为导向,初步设计了一个地震监测大数据处理平台,并实现了对历史波形数据的导入、标记、提取等功能。

In recent years,experts and scholars in the earthquake industry have tried to apply artificial intelligence(AI)technology to solve earthquake-related problems such as earthquake identification and epicenter location.This research process involves sorting,selecting and marking earthquake monitoring data,so as to generate the training/testing dataset required for training and debugging the AI model.With the aim of improving the sharing and utilization rate of the marked data,this paper takes the application of AI technology as the guidance,initially designs an earthquake monitoring big data processing platform,and realizes the functions of importing,sorting,marking and extracting the original earthquake monitoring data.