[1]柳竹欣,李 锋,林 峰,等.火电厂脱硫脱硝系统CEMS仪表智能校验技术研究[J].工业仪表与自动化装置,2026,(02):109-115.[doi:10.19950/j.cnki.CN61-1121/TH.2026.02.021]
　LIU Zhuxin,LI Feng,LIN Feng,et al.Research on intelligent calibration technology for CEMS instruments in flue gas desulfurization and denitrification systems of thermal power plants[J].Industrial Instrumentation & Automation,2026,(02):109-115.[doi:10.19950/j.cnki.CN61-1121/TH.2026.02.021]
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火电厂脱硫脱硝系统CEMS仪表智能校验技术研究()

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2026年02期
页码:
109-115
栏目:
出版日期:
2026-04-15

文章信息/Info

Title:
Research on intelligent calibration technology for CEMS instruments in flue gas desulfurization and denitrification systems of thermal power plants
文章编号:
1000-0682（2026）02-0109-07
作者:
柳竹欣1; 李 锋2; 林 峰1; 赵 响1
1.新疆重能电力开发有限公司，新疆 哈密 839000； 2.南方电网电力科技股份有限公司，广东 广州 510000
Author(s):
LIU Zhuxin1; LI Feng2; LIN Feng1; ZHAO Xiang1
1.Xinjiang Chongneng Power Development Co., Ltd., Xinjiang Hami, 839000, China；2.South?Power Grid Electric Power Technology Co., Ltd., Guangdong Guangzhou, 510000, China
关键词:
CEMS; 脱硫脱硝; 智能校验
Keywords:
CEMS;  flue gas desulfurization and denitrification;  intelligent calibration
分类号:
TP391
DOI:
10.19950/j.cnki.CN61-1121/TH.2026.02.021
文献标志码:
A
摘要:
针对火电厂烟气连续排放监测系统（CEMS）中脱硫脱硝仪表传统人工校验方式存在的效率低下、易引入人为误差等问题，本研究开展了智能化校验技术研究。通过系统分析CEMS中二氧化硫（SO2）、氮氧化物（NOx）等关键仪表的测量原理与校验需求，该研究提出了融合物联网（IoT）技术、自动控制技术和数据驱动算法的智能校验解决方案：通过NB-IoT模块构建CEMS仪表-云平台数据传输链路，实现校验数据远程交互，结合煤耗-污染物排放工艺逻辑判断仪表误差，采用最小二乘法完成非线性偏差校正，实现火电厂脱硫脱硝系统CEMS仪表智能校验。实验结果显示：经所提技术智能校验后，火电厂脱硫脱硝系统CEMS仪表监测浓度数值偏置都控制在±0.5 ppm内，零点与跨度漂移最大值低于2.5% F.S.·d-1，且NB-IoT通信链路可在极短时间内可完成CEMS仪表数据同步，瞬时干扰下气体数据采集偏差≤0.2 ppm，可实现校验过程的远程操控、自动执行与数据智能分析。
Abstract:
To address the issues of low efficiency and susceptibility to human error in traditional manual calibration of instruments in flue gas desulfurization and denitrification systems within Continuous Emission Monitoring Systems (CEMS) of thermal power plants, this study investigates intelligent calibration technology. By systematically analyzing the measurement principles and calibration requirements of key instruments such as sulfur dioxide (SO2) and nitrogen oxides (NOx) in CEMS, an intelligent calibration solution integrating Internet of Things (IoT) technology, automatic control technology, and data-driven algorithms is proposed. NB-IoT modules are used to establish a data transmission link between CEMS instruments and the cloud platform, enabling remote interaction of calibration data. Combined with coal consumption-pollutant emission process logic to assess instrument errors, nonlinear deviation correction is achieved using the least squares method, thereby realizing intelligent calibration of CEMS instruments in flue gas desulfurization and denitrification systems. Experimental results show that after intelligent calibration using the proposed technology, the monitoring concentration deviations of CEMS instruments are controlled within ±0.5 ppm, with maximum zero and span drift below 2.5% F.S.·d??. The NB-IoT communication link enables rapid synchronization of CEMS instrument data, with a data acquisition deviation of ≤0.2 ppm under transient interference, achieving remote control, automatic execution, and intelligent analysis of the calibration process.

参考文献/References:

[1]李明原,廖亚龙,葛伟童,等.处理废气脱硝脱硫的活性碳改性技术研究进展[J].化学工程,2023,51(9):1-6,13.

[2]张鑫,张烁,张金成.湿法脱硫烧结烟气的特点及其治理技术开发与应用[J].烧结球团,2024,49(6):155-162+170.
[3]强振峰,王雪,张效天.非色散红外气体传感器稳态扩散高斯分布浓度校正方法[J].仪器仪表学报,2023,44(2):138-145.
[4]胡璞,刘利民.基于拟合优化的多传感器测距误差残差补偿修正算法设计[J].传感技术学报,2023,36(11):1783-1787.
[5]王奕杰,张心茹,张磊,等.具有长光程气室的小型化NDIR气体传感器设计[J].红外与激光工程,2025,54(6):270-280.
[6]吴文杰.非色散红外CO2传感器温度补偿研究[J].激光与红外,2024,54(6):935-942.
[7]刘鹏举.高硫烧结烟气超低排放工艺技术选择及应用[J].烧结球团,2023,48(1):31-35.
[8]段钰锋,李海洋,汤红健,等.Hg-CEMS烟气预处理关键问题研究与进展[J].煤炭学报,2024,49(2):1037-1051.
[9]曲立涛,齐晓辉,王德鑫,等.基于CEMS数据的超低排放燃煤机组大气污染物排放特性分析[J].中国电力,2023,56(2):171-178.
[10]赵庆,牟怿.基于高斯混合模型的物联网通信链路异常检测[J].计算机仿真,2024,41(10):405-408+433.
[11]施伟国,王世峻.基于泛在物联网的电力能源工程数据智能分析处理算法[J].电子设计工程,2024,32(14):77-81.
[12]朱茂盛,王宝晗,康曼聪,等.智能物联网技术赋能算网一体数据库的效能优化[J].计算机研究与发展,2024,61(11):2835-2845.
[13]Deepti S, Rakesh N T, Sachin K, et al.An improved gain antenna array for telehealth monitoring on the Internet of Things platform[J].IEEE Internet of Things Journal,2025,12(3):3055-3066.
[14]白云飞,罗海燕,李志伟,等.基于改进的自适应迭代重加权惩罚最小二乘的空间外差拉曼光谱基线校正方法[J].光学学报,2024,44(7):243-251.
[15]宋彧,李卫华,薛同站,等.短程硝化过程的光谱特征波段选择与间隔偏最小二乘法建模[J].光谱学与光谱分析,2024,44(8):2224-2232.

相似文献/References:

[1]杨锐明.超低排放条件下CEMS中气态污染物测量仪表的选型[J].工业仪表与自动化装置,2018,(06):17.[doi:1000-0682（2018）06-0000-00]
　YANG Ruiming.Selection of CEMS measuring instruments in power plants after ultra-low emission transformation[J].Industrial Instrumentation & Automation,2018,(02):17.[doi:1000-0682（2018）06-0000-00]

备注/Memo

备注/Memo:
收稿日期：2025-11-10第一作者：柳竹欣（1978—），男，汉族，山东烟台人，工程师，硕士，研究方向为电厂热工自动化及仪表技术。E-mail：liuzhuxin2025@126.com
更新日期/Last Update: 1900-01-01