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基于窄带物联网的土壤墒情监测系统
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  • 英文篇名:Soil Moisture Monitoring System Based on Narrow Band Internet of Things
  • 作者:杨卫中 ; 王雅淳 ; 姚瑶 ; 赛景波
  • 英文作者:YANG Weizhong;WANG Yachun;YAO Yao;SAI Jingbo;College of Information and Electrical Engineering,China Agricultural University;College of Electronic Information and Control Engineering,Beijing University of Technology;
  • 关键词:土壤墒情 ; 传感器 ; 窄带物联网 ; 传感器标定 ; 温度补偿
  • 英文关键词:soil moisture content;;sensor;;narrow band internet of things;;sensor calibration;;temperature compensation
  • 中文刊名:NYJX
  • 英文刊名:Transactions of the Chinese Society for Agricultural Machinery
  • 机构:中国农业大学信息与电气工程学院;北京工业大学电子信息与控制工程学院;
  • 出版日期:2019-07-18
  • 出版单位:农业机械学报
  • 年:2019
  • 期:v.50
  • 基金:国家重点研发计划项目(2017YFD0700603)
  • 语种:中文;
  • 页:NYJX2019S1038
  • 页数:5
  • CN:S1
  • ISSN:11-1964/S
  • 分类号:250-254
摘要
为了实时、准确监测土壤含水率,设计了一套基于窄带物联网的土壤墒情监测系统。系统探头采用圆环柱体结构,通过探头中分频器的输出频率测出土壤含水率,并对电容式土壤水分传感器进行了标定。利用恒温箱进行了环境温度对土壤含水率测量精度的影响分析,表明分频频率与温度呈现良好的线性关系,温度变化1℃,探头中分频频率变化0. 138 6 k Hz,从而得到温度补偿方程。在50. 4~65. 5℃和-18. 0~23. 6℃的环境中进行土壤含水率测量实验,结果显示,系统在较高温、较低温的环境下仍可以稳定、可靠运行。
        Moisture content is the most direct and necessary index to analyze and judge agricultural drought,realize water-saving irrigation and hydrological forecast. In order to grasp the information of soil moisture content in time and accurately,a soil moisture monitoring system based on narrow band internet of things( NB-IoT) was designed. Circular cylinder was adopted by the probe of the system. The moisture content of soil was measured by the output frequency of the frequency divider in the probe,and the capacitive soil moisture sensor was calibrated. The calibration experiment of the sensor showed that the calibration curve adopted the cubic polynomial curve of the output frequency of the sensor,and the correlation was good, and the determination coefficient can reach 0. 985 1. The influence of environmental temperature change on the measurement accuracy of soil moisture content was analyzed with a thermostat,and the temperature change of 1℃ and the frequency division of the probe was 0. 138 6 kHz,a first order linear equation was obtained to compensate the influence of ambient temperature on the frequency output of the sensor. Soil moisture content was measured at 50. 4 ~ 65. 5℃ and -18. 0 ~ 23. 6℃. The results show that the system can run stably and reliably at high temperature and low temperature.
引文
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