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基于消息通知机制的国省数据共享系统的设计与实现
引用本文:顾文静,戴晴,张媛媛,王鹏.基于消息通知机制的国省数据共享系统的设计与实现[J].气象科技,2021,49(6):860-868.
作者姓名:顾文静  戴晴  张媛媛  王鹏
作者单位:国家气象信息中心, 北京 100081;华云信息技术工程有限公司,北京 100081
基金项目:中国气象局“气象雷达数据共享平台数据实时传输系统建设”项目资助
摘    要:为解决卫星广播传输缺陷及省级用户获取临省实时观测资料和实况分析产品等迫切的业务需求,设计并实现了基于消息通知机制的国省数据共享系统。系统基于RabbitMQ的消息机制进行业务和数据资源的整合及集成,采用多层体系架构,满足基于地面宽带的数据快速有序下载和卫星广播数据补调等国省数据共享需求,支持大容量多种数据的高速传输,支持HTTP、FTP、SFTP等多种数据传输协议。系统已经上线提供服务,实现智能网格、多源融合实况分析等25种气象资料的国省数据共享,月平均共享数据量达6.3 TB,且建立全流程监视,有效保障数据共享的时效性。

关 键 词:国省数据共享  RabbitMQ  消息通知  气象资料
收稿时间:2021/1/26 0:00:00
修稿时间:2021/9/6 0:00:00

Design and Implementation of Provincial Data Sharing System
GU Wenjing,DAI Qing,ZHANG Yuanyuan,WANG Peng.Design and Implementation of Provincial Data Sharing System[J].Meteorological Science and Technology,2021,49(6):860-868.
Authors:GU Wenjing  DAI Qing  ZHANG Yuanyuan  WANG Peng
Institution:National Meteorological Information Center, Beijing 100081;Huayun Information Technology Engineering Co., Ltd., Beijing 100081
Abstract:In order to solve the urgent business needs of CMACast defects and provincial users to obtain provincial real time observation data and gridded real time datasets, the provincial data sharing system based on the message notification mechanism is designed and implemented. The system integrates business and data resources based on the rabbitMQ message mechanism. It adopts multi layer architecture, which can meet national and provincial data sharing needs such as fast and orderly data download based on CMANet and supplementary adjustment of CMACast. It supports high speed transmission of large capacity data, HTTP, FTP, SFTP and other data transmission protocols. The provincial coordination system has been operational, providing provincial meteorological departments 25 kinds of meteorological data with intelligent grid products and multi source real time datasets. The average amount of data shared per month is 6.3 T, and the establishment of full process monitoring to ensure the timeliness of data sharing effectively.
Keywords:data sharing between national and provincial levels  RabbitMQ  message notification  meteorological data
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