中国农业气象 ›› 2022, Vol. 43 ›› Issue (08): 657-669.doi: 10.3969/j.issn.1000-6362.2022.08.006

• 农业气象信息技术 栏目 • 上一篇    下一篇

农业气象大数据共享平台设计与实现

李轩, 吴门新,侯英雨, 庄立伟, 何延波,孙少杰   

  1. 国家气象中心,北京 100081
  • 收稿日期:2021-03-16 出版日期:2022-08-20 发布日期:2022-08-16
  • 通讯作者: 吴门新,博士,正高级工程师,从事农业气象研究。 E-mail:wumx@cma.gov.cn
  • 作者简介:李轩,E-mail:lixuan@cma.gov.cn
  • 基金资助:
    风云卫星应用先行计划 (FY-APP-2021.0305);国家气象中心预报员专项(Y202118)

Agrometeorological Big Data Sharing Platform Design and Implementation

LI Xuan, WU Men-xin, HOU Ying-yu, ZHUANG Li-wei, HE Yan-bo, SUN Shao-jie   

  1. National Meteorological Center,Beijing 100081, China
  • Received:2021-03-16 Online:2022-08-20 Published:2022-08-16

摘要: 为了适应现代农业气象业务发展,增强海量数据快速处理、多源数据融合智能分析、数据挖掘等数据分析能力,实现农业气象数据和产品在全国范围内的共享,国家气象中心采用开源框架,分布式(Hadoop)大数据技术和Web架构,融合现代农业气象业务技术,构建B/S(Browser/Server即浏览器/服务器)模式的农业气象大数据共享平台,实现多源农业气象数据分布式存储与管理,同时提供网络端数据和业务产品可视化展示。共享平台于2021年业务运行,部署在国家级服务器上,为国家级和31个省级用户提供13大类200余种数据要素和产品的在线快速浏览和查询,实现国家−省级用户通过网络快速浏览、查询业务数据和产品,实现农业气象业务数据资源的共享和交汇,形成统一应用的农业气象大数据共享环境。

关键词: 农业气象大数据共享平台, B/S模式, 分布式存储, 数据可视化, 产品可视化

Abstract: With the pluralistic development of modern agriculture and the rapid progress of information technologies such as big data, distributed storage, cloud computing and artificial intelligence, the agrometeorological services are gradually diversified, and the services are becoming improved refinement, and have better precision and intelligence. The spatial and temporal resolution of service products has been significantly improved, which have developed from weekly, monthly, quarterly and annual scale graphic products to refined gridded daily products. At the same time, the datum is growing explosively, and the demand for mass storage of data and products, rapid interactive analysis, real-time sharing and publishing is becoming more and more urgent. In order to improve the data analysis capabilities which include massive data rapid processing, multi-source data fusion and intelligent analysis, data mining, etc., and realize the sharing of agrometeorological data and products across the country, the National Meteorological Center established Agrometeorological Big Data Sharing Platform with browser/server mode using distributed big data technology (Hadoop), fusion of modern agrometeorological service technology and web architecture based on open source framework, which realized the distributed storage, sharing and management for multi-source agricultural meteorological data, and provided visualization of network data and products. The sharing platform was put into use nationwide in 2021, deployed on national servers to provide online service. The national and 31 provincial users can browse and query more than 200 data and products in 13 categories through the network. The sharing platform can share and exchange data between nation and province, which will form a unified application of agricultural meteorological big data sharing environment.

Key words: Agrometeorological big data sharing platform, Browser/server mode, Distributed storage, Visualization of data, Visualization of products