面向烟气污染源的二氧化碳在线监测系统研发

蔡慰; 陈邮祥; 吴敏; 熊武; 彭戈; 邹炜; 冷健雄

doi:10.13205/j.hjgc.202609023

面向烟气污染源的二氧化碳在线监测系统研发

doi: 10.13205/j.hjgc.202609023

蔡慰¹,
陈邮祥^2, ,,
吴敏³,
熊武¹,
彭戈³,
邹炜¹,
冷健雄³

1. 国能丰城发电有限公司, 江西丰城 331100;
2. 南昌大学信息工程学院, 南昌 330031;
3. 江西怡杉环保股份有限公司, 南昌 330072

详细信息

作者简介:
蔡慰(1996—),男,助理工程师,主要研究方向为碳排放和水处理。953749765@qq.com

通讯作者:
陈邮祥(1995—),男,硕士研究生,主要研究方向为嵌入式智能检测方法与系统。chenyx0905@163.com

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出版历程
- 收稿日期: 2025-09-12
- 网络出版日期: 2026-11-05

Development of an online CO₂ monitoring system for flue gas emission sources

1. Guoneng Fengcheng Power Generation Co., Ltd., Fengcheng 331100, China;
2. School of Information Engineering, Nanchang University, Nanchang 330031, China;
3. Jiangxi Yishan Environmental Protection Co., Ltd., Nanchang 330072, China

摘要

摘要: 现行烟气污染源中二氧化碳浓度的监测高度依赖人工统计，存在误差大，实时性差等问题。针对以上问题，提出了一种基于双通道红外差分法的CO₂监测方法，并研发了一套CO₂浓度在线监测系统，基于Zemax光路仿真设计并制造了10 cm长直射型圆形气室，研发了基于Cortex-M3核微控制器与FreeRTOS实时操作系统的信号检测软硬件系统，实现了对烟气污染源中CO₂浓度的在线监测。实验结果表明，在体积分数0%~20%的量程范围内，示值误差达到0.78%F.S.，24 h零点和量程漂移分别为-0.15%和-0.9%，系统响应时间低至27 s。该监测系统具有高精准度、强稳定性和快反应速度，可为烟气污染源在线监测提供可靠的数据支持。
- 二氧化碳传感器 /
- 双通道差分检测 /
- 非分光红外 /
- 在线监测 /
- 烟气污染源
Abstract: Current methods for detecting CO₂ concentration in flue gas pollution sources rely heavily on manual statistics， which leads to significant errors and poor real-time performance. To address these issues， this paper proposed a CO₂ monitoring method based on dual-channel infrared differential spectroscopy， and developed an online CO₂ concentration monitoring system. A 10-cm-long direct-type circular gas cell was designed and fabricated， guided by Zemax optical path simulation. A signal detection hardware and software system was developed， featuring a Cortex-M3 core microcontroller and the FreeRTOS real-time operating system， enabling online monitoring of CO₂ concentrations in flue gas pollution sources. Experimental results demonstrated that within the volume fraction range of 0% to 20%， the indicated value error reached 0.78% of full scale. The 24-hour zero drift and span drift were -0.15% and -0.9%， respectively， and the system response time was as low as 27 seconds. This monitoring system offers high accuracy， strong stability， and fast response， providing reliable data support for online monitoring of flue gas pollution sources.
- CO₂ sensor /
- dual-channel differential detection /
- non-dispersive infrared /
- online monitoring /
- flue gas pollution sources

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参考文献(12)

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