电子测量与仪器学报

魏梦颖,华国环.应变式氧气流量传感器设计与应用[J].电子测量与仪器学报,2026,40(5):204-212

应变式氧气流量传感器设计与应用

Design and application of strain gauge oxygen flow sensor

DOI：

英文关键词:strain gauge oxygen flow sensor Wheatstone bridge self-correction algorithm

基金项目:国家自然科学基金（12074192）项目资助

作者	单位
魏梦颖	南京信息工程大学气象灾害预报预警与评估协同创新中心/集成电路学院南京210044
华国环	南京信息工程大学气象灾害预报预警与评估协同创新中心/集成电路学院南京210044

Author	Institution
Wei Mengying	Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD)/School of Integrated Circuits, Nanjing University of Information Science & Technology, Nanjing 210044, China
Hua Guohuan	Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD)/School of Integrated Circuits, Nanjing University of Information Science & Technology, Nanjing 210044, China

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中文摘要:

针对医用制氧机中传统浮子流量计测量精度低、显示不直观、无累计计量功能等问题，设计了一种基于应变片传感器的智能化氧气流量监测系统。该系统采用单端固定的悬臂梁式应变片结构，结合改进型惠斯通电桥与高精度仪表放大器，实现对气体流动引起微弱应变信号的灵敏捕捉与高效转换；利用MATLAB拟合电压-流速多项式方程，并引入卡尔曼滤波与自修正算法，有效抑制温漂与噪声干扰，提升系统在复杂环境下的测量稳定性与可靠性。实验结果为在0.5~5 L/min测量范围内，传感器在-10 ℃~40 ℃环境下的最大绝对误差小于0.2 L/min，响应时间小于2 s；在168 h连续工作中输出稳定，未出现明显漂移或失效现象；在86~106 kPa气压变化下测量稳定性良好。结果表明，该系统具备实时显示瞬时流量与累计用量的功能，具有结构简单、成本低、精度高、环境适应性强的特点，为医用制氧机的智能化升级提供了可靠解决方案。

英文摘要:

In response to the problems of low measurement accuracy, non-intuitive display, and lack of cumulative measurement function in traditional float flowmeters used in medical oxygen generators, an intelligent oxygen flow monitoring system based on a strain gauge sensor was designed. The system adopts a single-ended fixed cantilever-beam strain gauge structure, combined with an improved Wheatstone bridge and a high-precision instrumentation amplifier, to achieve sensitive capture and efficient conversion of weak strain signals caused by gas flow. A voltage-flow rate polynomial equation was fitted using MATLAB, and Kalman filtering with a self-correction algorithm was introduced to effectively suppress temperature drift and noise interference, thereby enhancing the measurement stability and reliability of the system in complex environments. The experimental results are as follows: within the measurement range of 0.5~5 L/min, the maximum absolute error of the sensor is less than 0.2 L/min under ambient temperatures ranging from -10 ℃ to 40 ℃, with a response time of less than 2 s; the output remains stable during 168 h of continuous operation, with no significant drift or failure observed; and the measurement stability is well maintained under pressure variations from 86 to 106 kPa. The results indicate that the system is capable of real-time display of instantaneous flow rate and cumulative oxygen consumption, featuring a simple structure, low cost, high accuracy, and strong environmental adaptability. It provides a reliable solution for the intelligent upgrading of medical oxygen generators.

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