System and method for realizing humidity calibration function based on temperature and humidity sensor

Abstract

The invention relates to a system for realizing a humidity calibration function based on a temperature and humidity sensor, and the system comprises a temperature and humidity integrated sensor whichcomprises a temperature resistor and a humidity capacitor and is placed in a high-precision calibration temperature and humidity box for detecting temperature and humidity; an RC oscillation circuit which is connected with the temperature and humidity integrated sensor; a single-chip microcomputer which is used for calculating a humidity value H according to the temperature and humidity frequencyvalues; an STM32 single-chip microcomputer calibration board which is used for communication conversion and data transmission; an upper computer which is used for writing the calculated coefficient into the single-chip microcomputer. The invention also relates to a method for realizing the humidity calibration function based on the temperature and humidity sensor. The system and method are used tocalibrate each temperature and humidity sensor to ensure the consistency of the humidity sensors after calibration. The method is small in calculation burden and is suitable for calibration of a low-end single-chip microcomputer system. The system and method can meet the requirements of higher precision after compensation, and the consistency of the calibrated humidity sensor is relatively good,and the system and method can be applied in the low-end single-chip microcomputer system.

Description

technical field [0001] The present invention relates to the field of communication, in particular to the field of sensor detection and calibration, and specifically refers to a system and method for realizing a humidity calibration function based on a temperature and humidity sensor. Background technique [0002] The humidity compensation method of the existing temperature and humidity sensor adopts algorithms such as segmental compensation of BP neural network or RBP neural network and least square method, such as figure 1 shown. [0003] The existing compensation method is selected according to the characteristics of the humidity sensor. The RBP neural network compensation algorithm is used in the low temperature and high temperature sections, and the humidity value is calculated by the linear fitting of the least square method in the middle section of the temperature. It is suitable for cases where the influence of the sensor is linear and non-linear. [0004] The compe...

AI Technical Summary

Problems solved by technology

[0005] 1. There are many temperature and humidity data points required, which is not suitable for mass production and application

[0006] 2. The amount of calculation is large, and the requirements for the hardware system are high

[0007] 3. Difficult to apply in low-end single-chip microcomputer systems, and the practicability is relatively poor

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