传感技术学报2025，Vol.38Issue(3)：421-425,5.DOI:10.3969/j.issn.1004-1699.2025.03.007
基于线性和非线性回归算法的湿度传感器校准研究
Research on Calibration of Humidity Sensor Based on Linear and Nonlinear Regression Algorithm
摘要
Abstract
Resistive humidity sensors have broad potential in environmental monitoring,agriculture,industry,and household applications.Due to multiple influences such as the manufacturing process,material properties,and environmental factors,there may be errors in the sensor output data.Linear regression and nonlinear regression algorithms are proposed to be used to accurately calibrate the resistive hu-midity sensor to improve the accuracy and reliability of the measurement results.To verify the effectiveness of the proposed method,a series of calibration experiments are designed and implemented.The results show that the measurement accuracy can be significantly improved by adopting these algorithms,and it is suitable for various types of resistive humidity sensors.This provides an effective meth-od for sensor performance optimization and error correction,which will help promote its technical development and application.关键词
湿度传感器/校准算法/线性回归/非线性回归Key words
humidity sensor/calibration algorithm/linear regression/nonlinear regression分类
信息技术与安全科学引用本文复制引用
张鹏,殷家璇,陶佰睿..基于线性和非线性回归算法的湿度传感器校准研究[J].传感技术学报,2025,38(3):421-425,5.基金项目
黑龙江省省属本科高校优秀青年教师基础研究支持计划项目(YQJH2023105) （YQJH2023105）
黑龙江省高等教育教学改革研究项目(SJGZB2024187) （SJGZB2024187）
黑龙江省自然科学基金项目(LH2023F052) （LH2023F052）
齐齐哈尔大学教育科学研究项目(GJQTYB202301) （GJQTYB202301）
