基于主成分分析的跨平台消息实时协同共享系统设计

Design of cross-platform message real-time collaborative sharing system based on principal component analysis

目前研究的跨平台消息协同共享系统共享时间过长、共享数据量过少,为了解决上述问题,基于主成分分析,研究了一种新的跨平台消息实时协同共享系统。系统硬件结构由数据采集器、处理器、存储器、控制器组成,选用三星公司最新推出的SX系列AR38C6529采集芯片提高采集速度,其处理器的A/D转换器具有8位模数。通过数据提取、数据分类和消息共享实现跨平台消息实时协同共享过程的软件优化。实验结果表明,基于主成分分析的跨平台消息实时协同共享系统能够有效缩短共享时间、扩大共享数据量。

In order to solve the above problems,a new cross platform message real-time collaborative sharing system is studied based on principal component analysis. The hardware structure of the system is composed of data collector,processor,memory and controller. The SX series AR38 C6529 acquisition chip of SamSung company is selected to improve the acquisition speed. The A/D converter of the processor has 8 bit analog-to-digital. Through data extraction,data classification and message sharing,the software optimization of cross platform message real-time collaborative sharing process is realized.The experimental results show that the cross platform message real-time collaborative sharing system based on principal component analysis can effectively shorten the sharing time and expand the amount of shared data.