摘要
试验评估系统中,快速完成数据统计是关键。试验设备运行源源不断产生的数据,以及试验评估数据库中存在日积月累的大量数据,给数据统计带来了极大的困难。传统数据统计方法以人为操作为触发,需要一次性遍历所需的所有数据,完成统计特征值的计算。该方法容易造成计算速度缓慢、计算资源不足等现象。文章研究并实现了一种快速实时数据统计的方法,提高了试验评估数据库千万条及以上量级数据统计特征值的计算效率,且占用资源少,模块运行可靠、稳定,同时能够灵活适应不同装备指标数据的统计分析处理。
In test evaluation system,how to complete the data statistics quickly is the key.The continuous data generated by the operation of the test equipment and the accumulated large amount of data in the test evaluation database bring great difficulties to the data statistics.The traditional data statistics method,which is triggered by human operation,needs to traverse all data at one time and calculate the statistical eigenvalues.This method is easy to cause the phenomenon of slow calculation speed and insufficient computing resources.This paper studies and implements a fast real-time data statistics method,which improves the calculation efficiency of statistical eigenvalues for tens of millions or more data in the database of test evaluation,takes up less resources,the module runs reliably and stably,and can adapt to the statistical analysis and processing of different equipment index data flexibly.
作者
吕书鹏
LV Shu-peng(System Assessment Center of the 27th Research Institute of China Electronics Technology Group Corporation,Zhengzhou 450047,China)
出处
《电脑与信息技术》
2020年第2期17-20,共4页
Computer and Information Technology
关键词
试验评估系统
数据库技术
快速实时统计
统计特征值
test evaluation system
database technology
fast real-time statistics
statistical eigenvalues