大数据平台的测震数据流实时可视化系统设计与实现  

The Design and Implementation of Real-Time Visualization System of Seismic Data Flow Based on Websocket

作　　者：刘禹 李胜乐[1] 李力[1] LIU Yu;LI Shengle;LI Li(Institute of Seismology,China Earthquake Administration,Wuhan 430071,China)

机构地区：[1]中国地震局地震研究所,湖北武汉430071

出　　处：《测绘地理信息》2022年第4期77-81,共5页Journal of Geomatics

基　　金：国家自然科学基金(U1939204);中国地震局地震科技星火计划(XH17022)

摘　　要：为了探索大数据平台下的海量数据实时可视化技术,基于最新的HTML5(hyper text markup language 5)标准,以Kafka为数据接口,Websocket为通信协议,Echarts为前端渲染组件,设计和实现了一套B/S(browser/server)架构的测震数据流实时可视化系统。系统测试表明:本系统可实现数据流高效实时传输与可视化,相比较于传统可视化软件系统,具有前后端双工实时通信、大连接数、大吞吐量、服务器端负载低、美观简洁等诸多优点,能够满足未来大数据平台对海量数据的实时可视化要求。Based on the latest HTML5(hyper text markup language 5)standard,with Kafka as the data interface,Websocket as the communication protocol,Echarts for the frontend rendering components,this study designs and implements a B/S architecture of the real-time visualization system of seismic data streamin order to explore the real-time visualization technology of massive data under the big data platform.is,.The system testing shows that the system can realize the efficient real-time transmission and visualization of data flow,that it has many advantages such as front-end duplex real-time communication,large number of connections,large throughput,low server-side load,beautiful simplicity and so on when compared with the traditional visualization software system,which can meet the real-time visualization requirements of massive data in the future big data platform.

关 键 词：测震数据流 Kafka Websocket协议 ECharts 实时传输与可视化 

分 类 号：P315.7[天文地球—地震学] TP311.13[天文地球—固体地球物理学]