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航空的安全依赖于民航气象的准确预报,为了提高民航气象预报的准确性,我们采用了数据仓库技术,同时也对数据仓库的要求越来越高,要让卫星星云数据、本地气象数据等等很多离散型数据合理的整合在一起,把他从初始数据变成分析型数据,再按照不同用户需求进行主题分类,还要发现彼此独立的信息之间存在的微小关系,通过联机处理系统对分析型数据进行更为精细化的处理应用,使之更为直观、准确的反应民航气象变化,从中对民航气象进行预测和影响程度评估。未来的数据仓库技术肯定会对数据应用更为的灵活,大大提高预测的准确性。
Aviation safety relies on the accurate prediction of civil aviation weather, in order to improve the accuracy of civil aviation weather forecasting, we use data warehouse technology, but also the data warehouse requirements are getting higher and higher, to make the satellite nebula data, local weather data, etc. Many discrete data are reasonably integrated and transformed from initial data to analytic data. Then the topics are categorized according to different user needs, and a small relationship between independent information is found. Through online processing system analysis Type data for more sophisticated processing applications, making it more intuitive and accurate response to the weather changes in civil aviation, from which to predict the extent and impact of civil aviation meteorological assessment. The future of data warehouse technology will certainly be more flexible data applications, greatly improving the accuracy of the forecast.