Fusing method of temperature compensation of humidity sensor

A humidity sensor and temperature compensation technology, applied in instruments, scientific instruments, measuring devices, etc., can solve the problems of inability to achieve full compensation, application limitations, and low fitting accuracy.

Inactive Publication Date: 2013-02-06
南京行云环境监测技术开发有限公司
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Problems solved by technology

The hardware compensation method is affected by factors such as the drift of electronic components in the circuit, resulting in poor reliability and low precision of the entire measurement system, which cannot achieve full compensation, and its application is limited in actual use.
The software compensation method is a multidimensional regression analysis method. However, when applying the multidimensional regression analysis method for data fusion processing, it is necessary to solve a large-scale matrix equation, and even the equa

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  • Fusing method of temperature compensation of humidity sensor
  • Fusing method of temperature compensation of humidity sensor
  • Fusing method of temperature compensation of humidity sensor

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Embodiment Construction

[0020] The solution of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0021] The fusion method of the temperature compensation of the humidity sensor, assuming that the characteristic function of the humidity sensor is y=f(x), x∈[δ 0 ,δ h ], where y is the output of the sensor, x is the input of the sensor, and the input signal range is δ h -δ 0 , which is characterized in that the temperature parameter t is added, according to the characteristics of the characteristic curve of the humidity sensor under the influence of temperature, which is linear in the middle and non-linear at both ends, so that t0

[0022] y = f ( x , t ) = f 1 ( ...

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Abstract

The invention relates to a fusing method of temperature compensation of a humidity sensor. A characteristic function y=f(x) of the humidity sensor is given, wherein y represents the output of the humidity sensor, x represents the input of the humidity sensor, a temperature parameter is provided additionally, when t0<t1<t2<t3, according to the characteristics that a characteristic curve of the humidity sensor is linear in the middle and is nonlinear at two ends under the influence of the temperature, through a linear least square method, a linear equation f2(x, t) influenced by the temperature within a range of [t1, t2] is obtained; and when t0<t<t1 or t2<t<t3, error compensation caused by the temperature influence is carried out on f1(x, t) and f3 (x, t) through an RBF (Radial Basis Function) neutral network. The fusing method has the beneficial effect that an actual value which is closer to an output value of the humidity sensor is finally obtained.

Description

technical field [0001] The invention belongs to the technical field of sensor soft compensation, and in particular relates to the application of an adaptive fusion method combining RBF neural network and least squares in temperature compensation of humidity sensors. Background technique [0002] Air humidity is an important parameter in meteorological observation. At present, the automatic weather stations that have been put into operation by the meteorological department mostly use the HMP45D temperature and humidity integrated sensor produced by Vaisala Company of Finland to measure air humidity. The HMP45D temperature and humidity sensor is a new generation of polymer film capacitive sensor with HUMICAP technology. During the application process, the relative humidity is calculated through a linear relationship. However, in the actual business process, the measurement of humidity under high and low temperature conditions cannot Meet the problems of measurement accuracy an...

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Application Information

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IPC IPC(8): G01N33/00
Inventor 行鸿彦彭基伟吕文华徐伟
Owner 南京行云环境监测技术开发有限公司
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