摘要
无线传感器网络为土壤水分实时采集提供了经济、方便的途径,对分析土壤含水量时空变异和作物生长气候变化意义重大。将无线传感器网络与TDR-3土壤水分传感器结合实现土壤水分实时监测。为了克服TDR-3土壤水分传感器的非线性缺陷,提出利用最小二乘法对土壤水分曲线进行分段线性标定的方法,并采用相关性系数进行精度验证。实验结果表明,分段线性法所建立模型的精确度较高,而且标定模型简单实用、可行。通过标定模型的研究,使得土壤水分的无线传感器网络能够较精确地进行土壤水分的实时监测。
An economic,convenient way was provided with wireless sensor network for real-time collection of soil moisture and it is significant for the analysis of temporal and spatial variation of soil moisture and climate change effects on crop growth. The soil moisture sensors of TDR-3 combined with wireless sensor networks achieved real-time data monitoring of soil moisture. This research put forward a method to calibrate the soil moisture curve in piecewise linear line by using least square method and used correlation coefficient to verify the accuracy of calibration. Experimental results show that the piecewise linear model law created by a higher accuracy,and calibration of the model is simple and practical and feasible. Through the calibration model, the soil moisture to the wireless sensor networks for more accurate real-time monitoring of soil moisture.
出处
《传感技术学报》
CAS
CSCD
北大核心
2009年第7期1066-1070,共5页
Chinese Journal of Sensors and Actuators
基金
国家自然科学基金项目资助(40671145)
广东省自然科学基金项目资助(04300504
05006623)
广东省科技攻关项目资助(2005B20701008
2005B10101028
2004B20701006)
国家科技攻关项目资助(2002BA516A08)
国家星火计划项目资助(2006EA780057)
关键词
土壤水分传感器
模型标定
最小二乘法
无线传感器网络
相关性系数
soil water content sensor
model standardization
least-square method
wireless sensor networks
correlation coefficient
