Temperature-dependent nonlinear compensation algorithm for soil temperature and humidity sensor
A temperature and humidity sensor and non-linear compensation technology, applied in the direction of instruments, measuring devices, etc., can solve problems such as the impact of measurement results, achieve the effect of less parameters, strong universality, and reduce measurement errors
Active Publication Date: 2018-08-17
ZHEJIANG UNIV CITY COLLEGE
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However, the existing nonlinear models are independent of the ambient temperature, which has a great influence on the measurement results
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[0033] The present invention will be further described below in conjunction with the examples. The description of the following examples is provided only to aid the understanding of the present invention. It should be pointed out that for those skilled in the art, without departing from the principle of the present invention, some improvements and modifications can be made to the present invention, and these improvements and modifications also fall within the protection scope of the claims of the present invention.
[0034] In this paper, a temperature-dependent nonlinear compensation model is proposed to develop an integrated soil moisture and temperature sensor. The nonlinear compensation module contains a temperature-dependent nonlinear model, and gives the corresponding coefficient estimation algorithm. The temperature-dependent nonlinear model is obtained by analyzing the measurement results of the soil moisture sensor. The least squares method is used to estimate the p...
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The invention relates to a temperature-dependent nonlinear compensation algorithm for a soil temperature and humidity sensor. The algorithm comprises the following steps of (1) obtaining nonlinear modeling and coefficient estimation according to experimental data, wherein the experimental data includes soil moisture, soil temperature and real soil moisture, and obtaining a table 1, (2) nonlinearlydescribing a volumetric water content Theta by using the dielectric constant epsilon b of water according to an empirical Topps equation, (3) solving the equation by using measurement humidity Thetai, meas of each row in the table 1 and calculating and obtaining epsilon b(i), and (4) solving the equation by using real humidity Theta i, nl of each row in the table 1 and calculating and obtainingepsilon b(i, T). The algorithm has the advantages that a third-order temperature-dependent nonlinear system model is provided, a corresponding nonlinear parameter estimation algorithm is provided, andthe temperature-dependent nonlinear compensation algorithm for the soil temperature and humidity sensor of the invention has the advantages of high precision, universal applicability and fewer parameters.
Description
technical field [0001] The invention relates to a soil temperature and humidity sensor, more specifically, it relates to a temperature-related nonlinear compensation algorithm of the soil temperature and humidity sensor. Background technique [0002] Soil moisture is one of the most important parameters in agricultural production. Using sensors to measure soil moisture can improve the efficiency of water resource management. However, due to the basic principle of the humidity sensor, the response value of the sensor changes nonlinearly with the change of humidity. Moreover, with the increase of real soil moisture and the change of ambient temperature, the nonlinearity of sensor measurement also changes drastically. Therefore, the temperature-dependent nonlinear characteristics of soil moisture sensors are difficult to calibrate. [0003] In traditional humidity sensors, calibration is usually achieved through a large number of rigorous measurements. In each measurement, ...
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IPC IPC(8): G01D21/02
CPCG01D21/02
Inventor 陈国宏周胜军黄浩
Owner ZHEJIANG UNIV CITY COLLEGE