基于卡尔曼滤波的烟气NOx浓度融合测量方法

doi:10.3901/JME.2017.24.063

机械工程学报 ›› 2017, Vol. 53 ›› Issue (24): 63-69.doi: 10.3901/JME.2017.24.063

• 多相流测试新技术与新方法 • 上一篇下一篇

基于卡尔曼滤波的烟气NO_x浓度融合测量方法

石饶桥, 李健, 张彪, 许传龙, 王式民

东南大学能源与环境学院南京 210096

收稿日期:2017-01-04 修回日期:2017-08-31 发布日期:2017-12-20
通讯作者: 许传龙(通信作者),男,1978年出生,博士,教授,博士研究生导师。主要研究方向为多相流测试、燃烧诊断技术。E-mail:chuanlongxu@seu.edu.cn
作者简介:石饶桥,男,1991年出生。主要研究方向为燃煤电厂SCR脱硝技术及烟气污染控制。E-mail:220140391@seu.edu.cn
基金资助:
国家自然科学基金（51676044，51327803）和江苏省自然科学基金杰出青年基金（BK20150023）资助项目。

Fusion Measurement Method for NO_x Concentration of Flue Gas Based on Kalman Filter

SHI Raoqiao, LI Jian, ZHANG Biao, XU Chuanlong, WANG Shimin

School of Energy and Environment, Southeast University, Nanjing 210096

Received:2017-01-04 Revised:2017-08-31 Published:2017-12-20

摘要/Abstract

摘要： 烟气中NO_x浓度的快速准确测量对提高燃煤电厂脱硝系统效率、降低氮氧化物排放具有十分重要作用。针对目前燃煤电厂烟气连续监测系统（Continuous emission monitoring systems，CEMS） NO_x浓度测量存在较大滞后和采样管路吹扫过程中无法进行有效测量等问题，结合CEMS测量和软测量技术各自的特点，提出基于卡尔曼滤波与数据融合技术的NO_x浓度测量方法。阐述了基于卡尔曼滤波的烟气NO_x浓度融合测量方法的原理和特点，并利用燃煤电厂的历史数据对该方法进行了验证。结果表明：通过合理地选择融合测量参数，基于卡尔曼滤波的数据融合测量方法能有效克服CEMS测量滞后问题，并具有较快的测量响应速度和较高的测量精度。当CEMS测量失效时，融合测量依然能够根据软测量值对NO_x浓度进行估计，提高了NO_x浓度测量系统的可靠性。

关键词: NO_x, 卡尔曼滤波, 软测量, 数据融合, 烟气连续监测系统

Abstract: The accurate and rapid measurement of NO_x concentration is critical to reduce the NO_x emission of flue gas and to increase the efficiency of de-NO_x system in coal-fired power plant. The measurement delay is one of the key problems for measurement of NO_x concentration in continuous emission monitoring systems (CEMS). Furthermore, CEMS is unable to make NO_x concentration measurement during the purging process of the sampling tube from. Although soft sensor is an attractive delay-free and economical measurement approach for monitoring NO_x concentration, its measurement accuracy is low. A fusion measurement method is proposed for the NO_x concentration measurement of flue gas based on Kalman filter and data fusion techniques. Numerical simulations are carried out with real operation historical data in a coal-fired power plant to evaluate the performance of the proposed method. Results demonstrated that the fusion measurement method based on Kalman filter and data fusion techniques is capable of improving response time and measurement accuracy of NO_x concentration.

Key words: continuous emission monitoring systems, data fusion, Kalman filtering, NO_x, soft sensor

中图分类号:

TK314

石饶桥, 李健, 张彪, 许传龙, 王式民. 基于卡尔曼滤波的烟气NO_x浓度融合测量方法[J]. 机械工程学报, 2017, 53(24): 63-69.

SHI Raoqiao, LI Jian, ZHANG Biao, XU Chuanlong, WANG Shimin. Fusion Measurement Method for NO_x Concentration of Flue Gas Based on Kalman Filter[J]. Journal of Mechanical Engineering, 2017, 53(24): 63-69.

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基于卡尔曼滤波的烟气NO_x浓度融合测量方法

Fusion Measurement Method for NO_x Concentration of Flue Gas Based on Kalman Filter

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基于卡尔曼滤波的烟气NOx浓度融合测量方法

Fusion Measurement Method for NOx Concentration of Flue Gas Based on Kalman Filter

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基于卡尔曼滤波的烟气NO_x浓度融合测量方法

Fusion Measurement Method for NO_x Concentration of Flue Gas Based on Kalman Filter