论文部分内容阅读
信息化的发展使得航天武器装备在控制系统试验和使用中产生了海量数据。针对国外设备安全性无法保障和国产化软硬件平台性能不足的问题,本文提出一种基于国产化平台的海量数据处理优化技术,确保数据处理系统可以安全、快速地处理控制系统的试验数据。首先,采用多处理技术和分布式并行计算2种方式,提升系统数据计算能力。随后,采用最小单元UNIT模式对数据进行分级抽样等预处理,减小数据入库、出库的压力。数据查询实验结果表明,系统的数据查询速率有了大幅提升,且实现了任意试验时间段数据的秒级加载。
The development of information technology has made aerospace weapons and equipment produce huge amount of data in the control system experiment and use. Aiming at the problem that foreign equipment can not guarantee the safety and the performance of domestic hardware and software platform is not enough, this paper presents a massive data processing optimization technology based on the localization platform to ensure that the data processing system can safely and quickly process the test data of the control system. First of all, using multi-processing technology and distributed parallel computing two ways to enhance the system data computing power. Subsequently, the minimum unit UNIT mode data pretreatment, such as grading, reduce the data storage, the pressure of the library. Data query results show that the data query speed of the system has been greatly improved, and the second-level loading of data in any experimental period can be realized.