地震事件分类识别软件
Seismic Event Recognition Software
王婷婷 1边银菊 1任梦依 1杨千里 1侯晓琳1
作者信息
- 1. 中国地震局地球物理研究所,北京 100081
- 折叠
摘要
非天然地震事件分类是地震监测业务部门的日常工作之一.本研究主要针对地震、爆炸和矿震的分类问题,在地震波数据处理、特征提取和人工智能综合分类的研究基础上,基于Qt开发框架,结合Python、Matlab等多种编程语言,开发了一个具有良好的可移植性和可扩展性、具有自主知识产权的地震分类识别软件.该软件可以部署在不同操作系统上,由七个模块组成:地震数据导入模块、数据处理模块、特征提取模块、综合分类模块、特征分析模块、当量估算模块和结果分析模块.软件集成了多种时频特征提取技术和人工智能分类方法,形成了较为完整的地震类型判定流程.软件内置的地震事件分类模型准确率高于90％,适用范围较广,已推广应用于多个地震监测部门,并取得了较好的应用成果,提高了对非天然地震的快速分析能力.
Abstract
Classification of non-natural seismic events is one of the daily tasks of the seis-mic monitoring business.This research is mainly aimed at the classification of earth-quakes,explosions and mining-induced earthquakes.On the basis of the research results of seismic wave data processing,feature extraction and artificial intelligence comprehensive classification,a seismic event recognition software(SERS)with good portability,expansi-bility and independent intellectual property rights is developed based on the Qt develop-ment framework and combined with Python,Matlab and other programming languages.The software can be deployed on different operating systems and consists of seven mod-ules:seismic data import module,data processing module,feature extraction module,comprehensive classification module,feature analysis module,yield estimation module,and result analysis module.The software integrates various time-frequency feature extrac-tion techniques and artificial intelligence classification methods,to form a comprehensive process for classifying the seismic events.The built-in classification models in the software have an accuracy rate exceeding 90％and a wide range of applications.It has been applied in a number of earthquake monitoring departments,achieved favorable outcomes and en-hanced the capability for rapid analysis of non-natural earthquakes.
关键词
非天然地震事件分类/Qt开发框架/特征提取/人工智能方法Key words
Classification of non-natural seismic events/Qt development framework/Feature extraction/Artificial intelligence method引用本文复制引用
出版年
2024
NETL
NSTL
万方数据