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一种利用便携式矢量网络分析仪精确测量土壤入渗线的新方法。

A Novel Method for the Accurate Measurement of Soil Infiltration Line by Portable Vector Network Analyzer.

机构信息

Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semi-Arid Areas, Ministry of Education, Northwest A&F University, Xianyang 712100, China.

出版信息

Sensors (Basel). 2021 Oct 29;21(21):7201. doi: 10.3390/s21217201.

DOI:10.3390/s21217201
PMID:34770513
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8587136/
Abstract

Accurate measurement of soil infiltration lines is very important for agricultural irrigation systems. It can help monitor the irrigation of soil to control irrigation amounts and promote crop growth. The soil infiltration line is a complex dynamic boundary and is difficult to model accurately, leading to estimation deviation. A traditional TDR (time domain reflectometry) method is used in soil infiltration line measurement, but it lacks good applicability and accuracy. In this paper, we proposed a method-VFTT (The vector network analyzer's frequency domain signals are converted to the time domain)-by the time domain to frequency domain conversion principle to improve the accuracy of soil infiltration line measurement. The experiment results show that the measurement method of soil infiltration line based on VFTT has high accuracy and robustness. After fitting the measured value with the actual one, R reaching more than 0.98 can effectively measure the position of the soil infiltration line.

摘要

准确测量土壤入渗线对于农业灌溉系统非常重要。它可以帮助监测土壤的灌溉,控制灌溉量,促进作物生长。土壤入渗线是一个复杂的动态边界,很难准确建模,导致估计偏差。传统的时域反射仪(TDR)方法用于测量土壤入渗线,但缺乏良好的适用性和准确性。在本文中,我们提出了一种方法-VFTT(矢量网络分析仪的频域信号转换为时域)-通过时域到频域转换原理来提高土壤入渗线测量的准确性。实验结果表明,基于 VFTT 的土壤入渗线测量方法具有较高的精度和鲁棒性。通过将实测值与实际值进行拟合,R 达到 0.98 以上,可以有效地测量土壤入渗线的位置。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f682/8587136/6f91a8ba00f8/sensors-21-07201-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f682/8587136/a3da0260fd86/sensors-21-07201-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f682/8587136/d65320dc402a/sensors-21-07201-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f682/8587136/b36f014d58db/sensors-21-07201-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f682/8587136/5fcb5037d6ea/sensors-21-07201-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f682/8587136/edd42f263b1f/sensors-21-07201-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f682/8587136/de546fd527c3/sensors-21-07201-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f682/8587136/6f91a8ba00f8/sensors-21-07201-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f682/8587136/a3da0260fd86/sensors-21-07201-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f682/8587136/d65320dc402a/sensors-21-07201-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f682/8587136/b36f014d58db/sensors-21-07201-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f682/8587136/5fcb5037d6ea/sensors-21-07201-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f682/8587136/edd42f263b1f/sensors-21-07201-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f682/8587136/de546fd527c3/sensors-21-07201-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f682/8587136/6f91a8ba00f8/sensors-21-07201-g007.jpg

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