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作 者:王广胜[1] 朱睦楠 汪思龙[2] 颜绍馗[2] 尹攀 Wang Guangsheng;Zhu Munan;Wang Silong;Yan Shaokui;Yin Pan(Huuei Ecology Polytechnic College,Wuhan 430000,P.R.China;Shenyang Institute of Applied Ecology,Chinese Academy of Sciences)
机构地区:[1]湖北生态工程职业技术学院,武汉430000 [2]中国科学院沈阳应用生态研究所
出 处:《东北林业大学学报》2020年第2期61-65,86,共6页Journal of Northeast Forestry University
基 金:2017年度湖北省教育厅科学研究计划指导性项目(B2017552);湖南省科技计划项目(2017TP1040)。
摘 要:针对森林水分监测中树干径流数据收集单一、不准确、严重依赖人力操作等问题,研究设计基于物联网的树干径流自动监测系统。系统由翻斗式传感器、数据采集和处理模块、无线通信模块、服务器、客户端等组成。嵌入式系统接受和储存翻斗式脉冲信号次数,利用4G无线网络将数据上传到服务器,通过上位机对原始数据进行处理,最终达到在手机或者电脑上直观读取数据。测试表明该系统长期在野外运行稳定、数据收集准确,节约了大量人力成本和时间。The experiment was conducted to solve the problems of inaccurate data collection if stem-flow and consumption of heavy human labor in forest water monitoring,a design was set on automatic stem-flow monitoring system based on the internet of things.The system is composed of tilting sensors,a data acquisition and processing module,a wireless communication module,a server and the client.The embedded system can accept and store the frequency of tilting pulse signals,updating data to the server by the 4 th generation of wireless network.Through the upper sever to deal with the original data,the processed data can be directly read on a mobile phone or a computer finally.The test showed that the system,saving a large amount of human cost and time,ran steadily in the field for a long time and collected accurate data.
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