基于OLAP的气象数据分析系统设计

我国幅员辽阔,河流众多,洪涝灾害频发。对气象数据进行挖掘与分析,找到暗含其中的信息与知识,是构建洪涝灾害预警系统的重要研究基础。本文利用数据挖掘技术和构建知识模型设计了一个气象数据分析系统,该系统可从不同维度对采集的数据进行分析并将结果进行可视化;对来自国家气象局的相关数据进行预处理,并建立了适合于挖掘分析的气象数据库。同时,该系统还能利用内嵌的预测算法预测未来状态的数值,对突发状况起到很好的预警作用。

Design of Meteorological Data Analysis System Based on OLAP

China has a vast territory,many rivers and frequent floods.Mining and analyzing the meteorological data to find the information and knowledge implied in it is an important research basis for building flood early warning system.In this paper,a meteorological data analysis system is designed by using data mining technology and building knowledge model,which can analyze the collected data from different dimensions and visualize the results,preprocess the relevant data from the National Meteorological Bureau,and establish a meteorological database suitable for mining analysis.At the same time,the system can also use the embedded prediction algorithm predicting the value of future state,which can play a good role in early warning of emergencies.