[1]周施文,李水龙,于伟恒,等.“智能+”地震监测预警技术平台设计[J].华南地震,2021,41(02):76-82.[doi:10.13512/j.hndz.2021.02.11 ]
 ZHOU Shiwen,LI Shuilong,YU Weiheng,et al.The Design of “AI+” Earthquake Monitoring and Early Warning Technical Platform[J].,2021,41(02):76-82.[doi:10.13512/j.hndz.2021.02.11 ]
点击复制

“智能+”地震监测预警技术平台设计()
分享到:

华南地震[ISSN:1006-6977/CN:61-1281/TN]

卷:
41
期数:
2021年02期
页码:
76-82
栏目:
地震科学研究
出版日期:
2021-06-20

文章信息/Info

Title:
The Design of “AI+” Earthquake Monitoring and Early Warning Technical Platform
文章编号:
1001-8662(2021)02-0076-07
作者:
周施文李水龙于伟恒王士成
(福建省地震局,福州 350003)
Author(s):
ZHOU ShiwenLI ShuilongYU WeihengWANG Shicheng
(Fujian Earthquake Agency,Fuzhou 350003,China)
关键词:
地震监测地震预警人工智能
Keywords:
Earthquake monitoringEarthquake early warningArtificial intelligence(AI)technology
分类号:
P135.7
DOI:
10.13512/j.hndz.2021.02.11
文献标志码:
A
摘要:
立足于一线地震科研人员进行人工智能技术应用研究的实际需求,从地震监测预警技术系统在线生产的角度出发,设计了一个“智能+”地震监测预警技术平台。该平台在现有地震监测预警技术系统的基础上,增加了人工智能技术的核心模块,即智能模型训练平台。通过提供该平台的逻辑架构设计、物理架构设计、网络架构设计和人工智能框架选择,希望该设计方案能给同业内人工智能技术的应用提供一个新的思路。
Abstract:
Based on the actual needs of the first-line earthquake researchers for the research and application of artificial intelligence(AI)technology and from the perspective of online production of earthquake monitoring and early warning technology system,the paper promotes a design of “AI+” earthquake monitoring and early warning technical platform. On the basis of the existing earthquake monitoring and early warning technology system,the core module of AI technology,namely AI model training platform,is added to the technical system. This paper provides the logical architecture design,physical architecture design,network architecture design and artificial intelligence framework selection of the AI model training platform,hoping that this design can provide a new idea for the application of AI technology in the industry.

参考文献/References:

[1] LeCun Y,Bengio Y,Hinton G. Deep learning[J]. Nature,2015,521(7553):436-444.
[2] Hinton G,Deng L,Yu D,et al. Deep neural networks for acoustic modeling in speech recognition:the shared views of four research groups[J]. IEEE Signal Processing Magazine,2012,29(6):82-97.
[3] 赵刚,黄汉明,卢欣欣,等. 基于BP-Adaboost方法的天然地震和人工爆炸事件波形信号分类识别研究[J]. 地震工程学报,2017,39(3):0557-0562.
[4] Perol T,Gharbi M,Denolle M. Convolutional neural network for earthquake detection and location[J]. Science Advances,2018,doi:10.1126/sciadv.1700578.
[5] Ross Z E,Meier M A,Hauksson E,et al. Generalized seismic phase detection with deep learning[J]. Bulletin of the Seismological Society of America,2018,doi:10.1785/0120180080.
[6] 赵明,陈石,Dave Yuen. 基于深度学习卷积神经网络的地震波形自动分类与识别[J].地球物理学报,2019,62(1):374-382.
[7] 蔡振宇,盖增喜. 人工智能在拾取地震 P 波初至中的应用——以汶川地震余震序列为例[J]. 北京大学学报(自然科学版),2019,55(3):151-460.

相似文献/References:

[1]林 伟,谢剑波,刘少文.广东省地震预警台网建设规划[J].华南地震,2018,38(增刊):101.[doi:10.13512/j.hndz.2018.S1.016]
 [J].,2018,38(02):101.[doi:10.13512/j.hndz.2018.S1.016]
[2]杨 芳,朱嘉健,朱 腾,等.基于移动时窗的τc计算方法及其在广东地区震级估算的应用[J].华南地震,2020,40(01):53.[doi:10.13512/j.hndz.2020.01.008]
 YANG Fang,ZHU Jiajian,ZHU Teng,et al.A Novel τc Method based on Moving Window and Its Application in Magnitude Estimation of Guangdong Region[J].,2020,40(02):53.[doi:10.13512/j.hndz.2020.01.008]
[3]付 萍,郑韶鹏,汪 豪.福建省简易烈度计地震预警试验区观测网络系统建设[J].华南地震,2020,40(01):60.[doi:10.13512/j.hndz.2020.01.009]
 FU Ping,ZHENG Shaopeng,WANG Hao.Construction of the Observation Network System in the Earthquake Early Warning Test Area of Simple Intensity Gauge in Fujian Province[J].,2020,40(02):60.[doi:10.13512/j.hndz.2020.01.009]
[4]赵 辉.地震监测数据的Hadoop存储解决方案[J].华南地震,2020,40(03):70.[doi:10.13512/j.hndz.2020.03.010]
 ZHAO Hui.The Hadoop Storage Scheme of Seismic Monitoring Data[J].,2020,40(02):70.[doi:10.13512/j.hndz.2020.03.010]
[5]文雯,毛先进,杨玲英,等.MT/CSELF视电阻率影响系数及各地层贡献的初步研究[J].华南地震,2020,40(04):29.[doi:10.13512/j.hndz.2020.04.04]
 WEN Wen,MAO Xianjin,YANG Lingying,et al.A Preliminary Study on the Influence Coefficients of MT/CSELF Apparent Resistivity and the Contributions of Each Layer[J].,2020,40(02):29.[doi:10.13512/j.hndz.2020.04.04]
[6]廖一帆,劳 谦,黄元敏,等.广东省地震监测台网建设回顾、现状与展望[J].华南地震,2022,(02):53.[doi:10.13512/j.hndz.2022.02.08]
 LIAO Yifan,LAO Qian,HUANG Yuanmin,et al.Review,Present Situation and Prospect of Earthquake Monitoring Network Construction in Guangdong Province[J].,2022,(02):53.[doi:10.13512/j.hndz.2022.02.08]
[7]江昊琳,郑江蓉,单 菡.地震监测项目档案管理探析[J].华南地震,2022,(02):63.[doi:10.13512/j.hndz.2022.02.09]
 JIANG Haolin,ZHENG Jiangrong,SHAN Han.Analysis on Archives Management of Earthquake Monitoring Projects[J].,2022,(02):63.[doi:10.13512/j.hndz.2022.02.09]
[8]王士成,周施文,李水龙,等.福建地震预警运维保障系统设计与实现[J].华南地震,2022,(03):71.[doi:10.13512/j.hndz.2022.03.09]
 WANG Shicheng,ZHOU Shiwen,LI Shuilong,et al.Design and Implementation of the Operation and Maintenance System for Fujian Earthquake Early Warning System[J].,2022,(02):71.[doi:10.13512/j.hndz.2022.03.09]
[9]彭钰翔,刘鹏飞,安小伟,等.云南地震预警基准站双链路设计与应用[J].华南地震,2023,(03):70.[doi:10.13512/j.hndz.2023.03.09]
 PENG Yuxiang,LIU Pengfei,AN Xiaowei,et al.Design and Application of Dual-link in Yunnan Earthquake Early Warning Reference Station[J].,2023,(02):70.[doi:10.13512/j.hndz.2023.03.09]
[10]廖一帆,劳 谦,丁莉莎,等.雷州2000m地震综合观测井土建工程设计与施工[J].华南地震,2023,(04):34.[doi:10.13512/j.hndz.2023.04.05]
 LIAO Yifan,LAO Qian,DING Lisha,et al.Civil Engineering Design and Construction of 2000 m Seismic Comprehensive Observation Well in Leizhou[J].,2023,(02):34.[doi:10.13512/j.hndz.2023.04.05]

备注/Memo

备注/Memo:
收稿日期:2020-10-10
基金项目:国家重点研发计划,海量信息秒级地震预警处理软件关键技术研究与系统研发(2018YFC1504005);福建省地震局科技攻关项目“智能+”地震监测预警技术平台研究(G201902)联合资助
作者简介:周施文(1986- ),女,工程师,主要从事地震监测预警技术研发。E-mail:2914311313@qq.com
更新日期/Last Update: 2021-06-20