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超大尺寸激光测距大型测控网络研制 被引量:5

The Development of Large Scale Measurement and Control Network for Large Space Laser Ranging
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摘要 为了解决超大尺寸激光测距过程中所面临的测量任务大、测量点数多、数据庞大和巨型数据处理困难等问题,设计了超大尺寸激光测距大型测控网络的研制方案。提出将云计算平台与大型测控网络相结合,使得若干台具有串口通信功能的仪器协同工作,获得更强大的测量能力,实现了多种无线网络融合,并解决海量数据的存储及数据处理问题。实验结果表明:系统内存设定为2G,虚拟机硬盘设定为500G,当数据存储量超过500G时不会出现不能继续存储的问题,测量数据可以准确地被存储到云平台;一次性处理数据量超过2G时不会出现内存不足的问题,能够实现巨型数据的处理问题;Matlab和虚拟机结合能够很好的完成复杂运算任务,快速准确地确定被测关键点坐标。 In order to solve some problems of large measurement tasks, huge measuring points, huge data and the data processing difficulty in the process of large-scale laser ranging, the development scheme of measuring network of the large space laser ranging is designed. The solution of combining the cloud computing platform with large measurement and control network is proposed. The instruments which have the function of serial communication can work together to get more powerful ability of measurement, to achieve a variety of wireless network integration, to solve the problem of storage and data processing. The experimental results show that the memory is set to 2G, and the virtual hard disk is set to 500G. When the data storage is more than 500G, the measurement data can be stored in the cloud platform. The problem of insufficient memory do not occur when the data amount is over 2G. The combination of Matlab and virtual machine can accomplish complex tasks, and the key points coordinate can be solved quickly and accurately.
出处 《计量学报》 CSCD 北大核心 2016年第4期360-365,共6页 Acta Metrologica Sinica
基金 国家自然科学基金(51275149)
关键词 计量学 大型测控网络 大尺寸 激光测距 资源共享 云计算平台 metrology large-scale measurcnient and control network large space laser ranging resource sharing cloud computing platform
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