1. 南昌大学 先进制造学院,江西,南昌,330031
2. 南昌大学 信息工程学院,江西,南昌,330031
3. 江西怡杉环保股份有限公司,江西,南昌,330072
纸质出版:2025
移动端阅览
张宇, 陈帆, 冷健雄, 等. 基于气体滤波相关的一氧化碳监测系统[J]. 传感器与微系统, 2025,44(10):116-119+124.
ZHANG Yu, CHEN Fan, LENG Jianxiong, et al. CO monitoring system based on gas filtering correlation[J]. 2025, 44(10): 116-119+124.
针对传统的非分光红外(NDIR)方法检测一氧化碳(CO)浓度易受背景气体影响、噪声干扰大及精度差等问题,提出了基于气体滤波相关(GFC)技术的NDIR CO监测方法,在此基础上
研发了一套CO浓度在线监测系统,设计了光路多次回返的长光程怀特池气体室,研发了基于Cortex—M4核微控制器与FreeRTOS实时操作系统的信号检测软硬件系统,实现了对痕量级CO气体浓度的在线监测。实验结果表明:在体积分数(0~50)×10
-6
量程范围内,测量精度达到±0.366%FS,24h零点和量程漂移不超过0.8×10
-6
,检出限达到0.106×10
-6
。该监测系统具有高精准度、强稳定性和低检出限,可为环境监测提供可靠的数据支持。
Aiming at the problems that the traditional non-dispersive infrared(NDIR)method for detecting carbon monoxide(CO)concentration is easily influenced by background gas
the noise interference is large and the precision is low
a NDIR method for detecting CO concentration based on gas filtering correlation(GFC)technology is proposed.On this basis
online CO concentration monitoring system is developed
and a long optical path White cell gas chamber with multiple returns of optical paths is designed.A signal detection software and hardware system based on Cortex—M4 core microcontroller and FreeRTOS real-time operating system is developed
which rea
lizes the online monitoring of trace-level CO gas concentration.The experimental results show that in the volume fraction range of 0~50×10
-6
the measurement precision reaches ±0.366%FS
the 24h zero point and range drift do not exceed 0.8×10
-6
and the detection limit reaches 0.106×10
-6
.The monitoring system has high precision
strong stability and low detection limit
which can provide reliable data support for environmental monitoring.
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