基于云端的农业病虫草害大数据图文数据库的设计与实现
Design and Implementation of Big Data Graphic Database for Agricultural Diseases, Pests and Weeds Based on Cloud Calculation
朱静波 1张立平 1董伟 1李闰枚 1方钰 1孔娟娟1
作者信息
- 1. 安徽省农业科学院农业经济与信息研究所,安徽合肥230031
- 折叠
摘要
针对病虫草害大数据的存储分散和展示无系统化的问题,提出采用Spark核心技术搭建大规模集群,将HDFS(Hadoop distributed filesystem)分布式文件存储系统、MongoDB数据库和MySQL数据库相结合,集病虫草害信息管理、信息查询、用户管理和数据库维护等功能于一体,实时更新、展示、存储和管理海量多源异构病虫草害数据,构建基于云端的农业病虫草害大数据图文数据库信息服务平台,在提高农业病虫草害的数字化管理、信息共享等方面具有极其重要的意义.
Abstract
Aiming at the problem of big data storage dispersion and display without systematization of diseases,pests and weeds,Spark core technology was used to build large-scale clusters,HDFS distributed file system,MongoDB database were combined with MySQL database to construct big data graphic database system of agricultural diseases,pests and weeds based on cloud technology.The system implemented the functions of information management,information query,user management and database maintenance.The database system had strong compatibility,clear classifications,friendly interface and provide real-time updates,massive data storage and management for heterogeneous multi-source data display and pest and.Also,integrated information service platform was established for the diseases,pests and weeds information,and it was of very important significance for strengthening the digital management,information sharing etc..
关键词
病虫草害/Spark框架/大数据/图文数据库Key words
Diseases, pests and weeds/Spark framework/Big data/Graphic database引用本文复制引用
基金项目
安徽省农业科学院院长青年创新基金(17B1422)
出版年
2017
国家科技期刊平台
NSTL
维普
万方数据