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作 者:王东岳[1] 刘浩[1] 杨英奎 张兆伟 Wang Dongyue;Liu Hao;Yang Yingkui;Zhang Zhaowei(The Meteorology Data Center of Heilongjiang Province,Harbin 150030,China)
出 处:《林业科技情报》2023年第4期213-216,共4页Forestry Science and Technology Information
摘 要:随着我国气象综合观测体系的建立,黑龙江省气象探测与观测的数据的种类与发送频次都大幅增长,每日需要向国家气象信息中心发送的数据量增长了几十倍,这就导致基于传统集群技术构建的收发系统不能稳定且及时的传输海量气象数据。针对这个问题,该研究基于赛门铁克的集群技术,整合消息中间件与负载均衡技术,设计并实现了黑龙江省气象收发系统。系统运行的结果表明,基于赛门铁克的集群技术实现的收发系统能够将各类观测与探测气象数据及时稳定的传输至国家气象信息中心,系统的建设极大的提升气象信息系统的服务能力以及提升气象为龙江经济和社会发展服务的能力。With the establishment of China's comprehensive meteorological observation system,the types and transmission frequency of meteorological detection and observation data in Heilongjiang Province have significantly increased.The daily amount of data that needs to be sent to the National Meteorological Information Center has increased by dozens of times.The transmission and reception system based on traditional cluster technology cannot stably and timely transmit massive meteorological data.In response to this issue,this article is based on Symantec's cluster technology,integrating message middleware and load balancing technology,and designing and implementing a meteorological transceiver system in Heilongjiang Province.The results of system operation indicate that the transceiver system based on Symantec's cluster technology can timely and stably transmit various observation and detection meteorological data to the National Meteorological Information Center.The construction of the system greatly improves the service capacity of the meteorological information system and enhances the ability of meteorology to serve the economic and social development of HeiLongjiang Province.
分 类 号:TP311[自动化与计算机技术—计算机软件与理论]
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