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作 者:蔡杏辉[1] 林苗禄 陈惠芳[1] CAI Xinghui;LIN Miaolu;CHEN Huifang(The Monitoring Center of Fujian Seismological Bureau,Fuzhou 350003,China;Fuzhou Earthquake Monitoring Center Station,Fuzhou 350000,China)
机构地区:[1]福建省地震局,福建福州350003 [2]福州地震监测中心站,福建福州350000
出 处:《河南科技》2024年第14期36-40,共5页Henan Science and Technology
基 金:福建省地震局科技基金项目“非天然地震信息专报自动产出研制”(SF202204)。
摘 要:【目的】为提高非天然地震信息专报产出效率、简化流程,构建了地震事件多元自动识别模型。【方法】基于支持向量机OvO方法研发事件类型多元自动识别模块,并采用可视化编程开发非天然地震信息专报自动产出系统。【结果】该系统的应用提高了非天然地震监测的自动化、智能化水平,实现非天然地震信息可视化显示及专报快速、准确的自动化产出。【结论】非天然地震信息专报自动产出系统能快速识别事件类型、产出信息专报,为影响非天然地震的快速应急响应提供技术支撑,极大地提高工作效率。[Purposes]In order to improve the output efficiency and simplify the process of special report of non-natural seismic information,a multivariate automatic identification model of seismic events is constructed.[Methods]Based on the support vector machine OVO method,an automatic recognition module of event types is developed,and an automatic output system of non-natural earthquake informa-tion special report is developed by visual programming.[Findings]The application of the system im-proves the level of automation and intelligence of on-natural earthquake monitoring,and realizes the fast and accurate automatic output of on-natural earthquake information visualization display and special re-port.[Conclusions]The automatic output system of special report of non-natural earthquake information can quickly identify the type of event and special report of output information.
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