首页 | 本学科首页   官方微博 | 高级检索  
     

基于T-S模糊模型的TDR土壤水分传感器标定方法研究
引用本文:胡月明,卢启福,薛月菊,陈联诚. 基于T-S模糊模型的TDR土壤水分传感器标定方法研究[J]. 土壤学报, 2012, 49(2): 389-393
作者姓名:胡月明  卢启福  薛月菊  陈联诚
作者单位:1. 华南农业大学信息学院,广州,510642
2. 华南农业大学工程学院,广州,510642
基金项目:国家自然科学基金项目(40671145,40971125, 41001310);广东省自然科学基金项目(04300504, 05006623);国家863计划项目 (2008AA10Z223)
摘    要:利用TDR土壤水分传感器实现土壤水分数值的精确采集具有现实意义[1-3]。为了获得TDR土壤水分传感器水分含量测量所对应输出电压与实际土壤含水量的良好对应关系,在采用取土实验测量法获得实际水分含量数值与对应输出电压数值的基础上,利用Takagi-Sugeno模型逼进精度高、后件参数线性化等优点[2,4]对TDR土壤水分传感器

关 键 词:土壤水分传感器  取土实验测量法  Takagi-Sugeno模型  无线传感器网络
收稿时间:2010-10-17
修稿时间:2011-06-17

Calibration method of a TDR-based sensor for monitoring soil water content based on T-S fuzzy model
Hu Yueming,Lu Qifu,Xue Yueju and Chen Liancheng. Calibration method of a TDR-based sensor for monitoring soil water content based on T-S fuzzy model[J]. Acta Pedologica Sinica, 2012, 49(2): 389-393
Authors:Hu Yueming  Lu Qifu  Xue Yueju  Chen Liancheng
Affiliation:College of Information, South China Agricultural University
Abstract:Wireless sensor networks composed of TDR soil moisture sensors for real-time monitoring variation of soil water content. In order to improve accuracy of the calibration of the TDR soil moisture sensors, the Takagi-Sugeno fuzzy model was proposed for calibrating the sensors. The precision of the calibration model was verified through correlation coefficient. Results show that the calibration model based on the Tagagi-Sugeno fuzzy model realized simple piecewise linear fitting and improved accuracy of the sensors.
Keywords:Soil moisture sensor   Soil sampling test method   Takagi-Sugeno fuzzy model   wireless sensor networks
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《土壤学报》浏览原始摘要信息
点击此处可从《土壤学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号