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大气气溶胶地基光学遥感物联网系统研究
引用本文:卞良,李保生,李正强,杜亚举,张龙.大气气溶胶地基光学遥感物联网系统研究[J].中国环境监测,2013,29(1):147-150.
作者姓名:卞良  李保生  李正强  杜亚举  张龙
作者单位:1. 合肥工业大学仪器科学与光电工程学院,安徽合肥230009;中国科学院遥感应用研究所,北京100101
2. 合肥工业大学仪器科学与光电工程学院,安徽合肥,230009
3. 中国科学院遥感应用研究所,北京,100101
基金项目:国家重点基础研究发展计划项目"多尺度气溶胶综合观测和时空分布规律研究"(2010CB950800);高分辨率对地观测系统专项"区域空气质量遥感监测关键技术"(E0203/1112/JC02)
摘    要:研究了大气气溶胶地基光学遥感物联网系统的设计问题.根据其应用特点从传感层、传输层、数据层、应用层这几个组成部分对系统进行了设计,并初步实现.测试表明:设计的大气气溶胶地基光学遥感物联网系统具有支持数据实时共享、无人值守运行、快速数据融合、环境参数在线显示、历史数据快速查询和分析、仪器远程管理维护等优点,可实现大气气溶胶特性的网络化和自动化观测,对研究气溶胶对环境和气候的影响具有重要应用价值.

关 键 词:气溶胶  物联网  地基遥感  网络化  自动化观测
收稿时间:2012/3/19 0:00:00
修稿时间:2012/9/10 0:00:00

Research on System of Internet of Things for Ground-Based Aerosol Remote Sensing
BIAN Liang,LI Bao-sheng,LI Zheng-qiang,DU Ya-ju and ZHANG Long.Research on System of Internet of Things for Ground-Based Aerosol Remote Sensing[J].Environmental Monitoring in China,2013,29(1):147-150.
Authors:BIAN Liang  LI Bao-sheng  LI Zheng-qiang  DU Ya-ju and ZHANG Long
Institution:School of Instrument Science and Opto-electronics Engineering,Hefei university of Technology, Hefei 230009,China;Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China;School of Instrument Science and Opto-electronics Engineering,Hefei university of Technology, Hefei 230009,China;Institute of Remote Sensing Applications,Chinese Academy of Sciences,Beijing 100101,China;School of Instrument Science and Opto-electronics Engineering,Hefei university of Technology, Hefei 230009,China;School of Instrument Science and Opto-electronics Engineering,Hefei university of Technology, Hefei 230009,China
Abstract:This paper studies the system of Internet of Things for atmospheric aerosol ground-based optical remote sensing. According to the characteristics of the system,we designed and implemented the sensing layer, the transport layer, the data layer and the application layer. The test results showed that: The system designed in this paper has several advantages such as real-time support for data sharing, unattended operation, fast data integration, online display of environmental parameters, fast query and analysis of historical data, remote management of the instrument and so on. In this system,the networking and automated observation of atmospheric aerosol properties are implemented. It has important application value on studying the impact of aerosol on the environment and climate.
Keywords:aerosol  internet of things  ground-based remote sensing  networking  automatic observation
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