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The development of large scale measurement and control network for large space laser ranging |
TANG Qi-xing,YU Xiao-fen,WANG Biao |
School of Instrument Science and Optoelectronic Engineering, Hefei University of Technology, Hefei, Anhui 230009, China |
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Abstract 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 2G, and the virtual hard disk is set to 500G. When the data storage is more than 500G, the measurement data can be stored in the cloud platform. The problem of insufficient memory do not occur when the data amount is over 2G. The combination of Matlab and virtual machine can accomplish complex tasks, and the key points coordinate can be solved quickly and accurately.
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Received: 06 October 2015
Published: 31 May 2016
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[1]潘全文,房振旭,姜守达. 基于CAN总线的分布式线束网络测试系统设计[J]. 仪器仪表学报, 2007, 28(4): 300-303.
[2]贺莉,苗放,陈军. 基于3G与3S集成的远程无线监测系统[J]. 煤炭技术, 2010, 29(2): 31-33.
[3]吕炳均. 2.4G无线传感器网络节点设计[D]. 哈尔滨: 哈尔滨工业大学, 2007: 42-50.
[4]叶声华,邾继贵, 张滋黎,等. 大空间坐标尺寸测量研究的现状与发展[J]. 计量学报, 2008, 29(z1): 1-6.
[5]罗艳. 工控机扩展串口的驱动程序及串口通信应用软件的设计[D]. 天津: 天津大学, 2007: 1-10.
[6]胡进忠,余晓芬,刘媛媛. 基于激光多边法的坐标测量系统自标定研究[J]. 电子测量与仪器学报, 2014, 28(2): 130-137.
[7]陈强华,刘景海,罗会甫,等. 对633nm波长下湿空气折 射率计算公式的精确修正[J]. 中国激光, 2014, 41(3): 163-167.
[8]费业泰. 误差理论与数据处理[M]. 北京:机械工业出版社, 2011: 82-99.
[9]黄涛. 基于Azure平台的信息推送系统设计与实现[D]. 大连: 大连理工大学, 2012: 9-12.
[10]白海石. Windows Azure实战.[M]. 北京: 机械工业出版社, 2014: 81-364.
[11]赵新芬. 典型云计算平台与应用教程[M]. 北京:电子工业出版社, 2013: 13-16.
[12]董向阳. 基于ARM的LwIP协议栈研究与移植[D]. 哈尔滨: 哈尔滨理工大学, 2009: 31-43.
[13]Yong L, Alexander Y S, Keith N. Cloud computing for integrated stochastic groundwater uncertainty analysis[J]. International Journal of Digital Earth, 2013,6(4): 313-337.
[14]胡进忠,余晓芬,任兴. 基于激光多边法的坐标测量系统最佳布局[J]. 中国激光, 2014, 41(7): 181-187. |
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