海量可视化数据的存储技术研究

Curve Shows Technology Based on Massive Storage Research

摘要:

可视化是一种将数据转换成图像且进行分析的技术,被多个领域广泛应用；但是当前测控试验平台海量数据可视化研究领域中,存在数据存取耗时大、展示图形速度慢等一系列问题；通常测控试验平台通入液氮来模拟太空中的低温环境,利用电流产生热量来模拟高温环境;然后周期性的采集温度、电流、电压、功率的信息,并将这些存入到本地数据库当中用于绘制曲线并进行分析；随着时间的推移,存入到本地数据库的温度等数据越来越大,关系型数据库在应付如此巨大的数据时需要耗费大量时间；针对上述问题本文提出一种方法在非关系型数据库Raptor DB的基础上改善优化其存储结构,从而加快信息的加载速度,从而减少绘制曲线需要等待的时间。

Abstract:

Visualization is a kind of technology that data can be converted into images and analysis, used in all kinds of fields. However, in the current research field of spacecraft thermal vacuum test, reading data speed and display image speed are very slow in the process of visualization. Usually the current research field of spacecraft thermal vacuum test through the liquid nitrogen temperature simulated space environment, the use of current generated heat to simulate high temperature environments. And periodically collect temperature, current, voltage, power information, and these were stored in a local database and analyzed for drawing curves. With the passage of time, stored in the local database, increasing the temperature and other data, the curve showing the conventional technique for loading large amounts of data plotted as slow, time-consuming. For this paper, a method of the above problems by optimizing data storage structure to improve the speed of loading information, thereby reducing the need to draw a curve to wait.