基于TDLAS的二维温度场与H<sub>2</sub>O浓度场重建研究

侯艺杰; 张立芳; 赵贯甲

doi:10.19805/j.cnki.jcspe.2026.250436

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基于TDLAS的二维温度场与H₂O浓度场重建研究

基础研究 | 更新时间：2026-09-15

- 基于TDLAS的二维温度场与H₂O浓度场重建研究
- Research on Reconstruction of Two-dimensional Temperature Field and H₂O Concentration Field Based on TDLAS
- 动力工程学报 2026年46卷第9期页码：77-89
- 作者机构：
- 作者简介：
  
  侯艺杰(2001—),男,山西临汾人,硕士研究生,研究方向为基于可调谐激光吸收光谱技术重建算法。张立芳(通信作者),女,讲师,博士,E-mail:zhanglifang@tyut.edu.cn。
- 基金信息：
  
  山西省青年科学研究资助项目（202203021212272）;国网山西省电力有限公司科技资助项目（520530240037）
- DOI：10.19805/j.cnki.jcspe.2026.250436
  中图分类号： TM621;O433.1
- 纸质出版：2026
- 稿件说明：
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侯艺杰, 张立芳, 赵贯甲. 基于TDLAS的二维温度场与H2O浓度场重建研究[J]. 动力工程学报, 2026, 46(9): 77-89.
侯艺杰, 张立芳, 赵贯甲. 基于TDLAS的二维温度场与H2O浓度场重建研究[J]. 动力工程学报, 2026, 46(9): 77-89. DOI： 10.19805/j.cnki.jcspe.2026.250436.

DOI： 10.19805/j.cnki.jcspe.2026.250436

摘要

为了满足高温火焰场中的温度与H2O浓度分布的重建需求，以水蒸气作为目标测量气体，对燃烧火焰中的温度和H2O浓度进行重建，选取了7 153.748和7 154.354 cm-1 2条H2O的吸收谱线，结合代数重建（ART）算法、自适应代数重建（AART）算法，对假定的多峰火焰开展模拟重建研究。结果表明：2种算法在松弛因子为0.5时达到最优平衡，但2种算法的抗噪性均较差。为了提高算法的抗噪性，引入邻域均值平滑法、高斯平滑法来优化AART算法。重建结果表明：AART算法抗噪性能得到了显著提升，优化后的算法在添加0%~7%随机误差范围内仍能实现有效重建，其中高斯平滑法优化效果更优，为复杂燃烧场的高精度二维重建提供了可靠的理论基础。

Abstract

To meet the reconstruction requirements of temperature and H2O concentration distribution in high-temperature flame fields

water vapor was selected as the target measurement gas to reconstruct the temperature and H2O concentration in combustion flames. Two H2O absorption lines with wave numbers of 7 153.748 and 7 154.354 cm-1 were selected. Combined with algebraic reconstruction technique (ART) and adaptive algebraic reconstruction technique (AART) algorithms

simulation reconstruction studies were carried out on the preset multi-peak flame. Results show that the optimal balance state can be achieved when the relaxation factor is set to 0.5 for both algorithms

but the noise resistance performance of the two algorithms is relatively poor. To improve the noise resistance of the algorithms

neighborhood mean smoothing method and Gaussian smoothing method were introduced to optimize AART algorithm. Reconstruction results show that the noise resistance performance of AART algorithm is significantly enhanced. The optimized algorithm can still realize effective reconstruction within the added random error range of 0% to 7%

among which the Gaussian smoothing method presents a better optimization effect

and a reliable theoretical basis is provided for the high-precision two-dimensional reconstruction of complex combustion fields.

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references

岑可法, 邱坤赞, 朱燕群. 中国能源与环境可持续发展问题的探讨[C]//城市垃圾焚烧发电论文集. 天津: 中国动力工程学会环境技术与装备专业委员会, 2005: 9-25. CEN Kefa, QIU Kunzan, ZHU Yanqun. Discussion on the sustainable development of energy and environment in China[C]//Proceedings of the Conference on Urban Waste Incineration for Power Generation. Tianjin: Environmental Technology and Equipment Committee of the China Society of Power Engineering, 2005: 9-25.

张海丹, 王飞, 邢大伟, 等. 采用激光吸收光谱测量高温条件下CO体积分数及其影响因素的研究[J]. 动力工程学报, 2013, 33(6): 448-454. ZHANG Haidan, WANG Fei, XING Dawei, et al. In situ measurements of CO in combustion gases based on TDLAS and analysis on relevant influencing factors[J]. Journal of Chinese Society of Power Engineering, 2013, 33(6): 448-454.

刘忠, 郑佳稳, 邹淑云, 等. 基于宽度卷积神经网络的水轮机空化状态识别方法[J]. 动力工程学报, 2025, 45(7): 985-991. LIU Zhong, ZHENG Jiawen, ZOU Shuyun, et al. Hydraulic turbine cavitation state recognition method based on broad convolutional neural network[J]. Journal of Chinese Society of Power Engineering, 2025, 45(7): 985-991.

BIAN Hao. Analysis on flue gas pollution of coal-fired boiler and its countermeasures[J]. IOP Conference Series: Earth and Environmental Science, 2020, 450: 012028.

张爽. 中国电力行业温室气体排放影响因素及减排策略研究[D]. 天津: 天津大学, 2019. ZHANG Shuang. Study on driving factors and reduction strategies of greenhouse gas emissions for China's power industry[D]. Tianjin: Tianjin University, 2019.

张立芳. 激光吸收光谱技术测量低浓度多组分气体和二维温度浓度分布的研究[D]. 杭州: 浙江大学, 2017. ZHANG Lifang. Investigations on measurement of low concentration and multi-component gas and reconstruction of 2D temperature and concentration distribution using laser absorption spectroscopy[D]. Hangzhou: Zhejiang University, 2017.

苏界儒, 李永阳, 蔡竟男, 等. 基于TDLAS的隧道溶解二氧化碳检测[J]. 激光杂志, 2025, 46(9): 49-53.SU Jieru, LI Yongyang, CAI Jingnan, et al. Tunnel dissolved carbon dioxide detection using TDLAS method[J]. Laser Journal, 2025, 46(9): 49-53.

王国水, 张超峰, 栗佩康, 等. 使用TDLAS系统的低浓度CO检测[J]. 激光与红外, 2025, 55(3): 368-373. WANG Guoshui, ZHANG Chaofeng, LI Peikang, et al. Low-concentration CO detection using the TDLAS system[J]. Laser & Infrared, 2025, 55(3): 368-373.

周梦娜, 刘欢, 李岗豪, 等. 基于TDLAS技术的有毒有害气体泄漏监测系统[J]. 上海计量测试, 2025, 52(1): 31-33, 38. ZHOU Mengna, LIU Huan, LI Ganghao, et al. Development of toxic and harmful gas leakage monitoring system based on TDLAS technology[J]. Shanghai Measurement and Testing, 2025, 52(1): 31-33, 38.

尤晨昱, 俞峰苹, 邓丽萍. 基于中红外激光吸收光谱技术的低浓度SO3检测系统[J]. 自动化技术与应用, 2026, 45(1): 79-82, 90. YU Chenyu, YU Fengping, DENG Liping. Low concentration SO3 detection system based on mid-infrared laser absorption spectroscopy technology[J]. Techniques of Automation and Applications, 2026, 45(1): 79-82, 90.

王新培, 韦飞, 马修元, 等. “双碳”背景下燃煤电厂CO2在线监测技术应用研究[J]. 应用化工, 2025, 54(1): 73-79. WANG Xinpei, WEI Fei, MA Xiuyuan, et al. Study on the application of CO2 online monitoring technology in coal-fired power plants under "carbon neutralization and carbon peak" background[J]. Applied Chemical Industry, 2025, 54(1): 73-79.

邢文锦, 李润浩, 毕云峰. 中红外TDLAS一氧化氮气体检测系统灵敏度提高[J]. 光学精密工程, 2024, 32(23): 3424-3435. XING Wenjin, LI Runhao, BI Yunfeng. Sensitivity improvement of NO gas detection based on mid-infrared TDLAS[J]. Optics and Precision Engineering, 2024, 32(23): 3424-3435.

冯佳丽, 魏志鹏, 孙礼朋, 等. 用于TDLAS痕量CO检测的精密温控系统设计[J]. 激光与光电子学进展, 2025, 62(7): 0722001. FENG Jiali, WEI Zhipeng, SUN Lipeng, et al. Design of precision temperature control system for trace CO detection employing TDLAS[J]. Laser & Optoelectronics Progress, 2025, 62(7): 0722001.

房孝猛, 王华来, 徐晖, 等. 基于SVM与近红外TDLAS技术的多组分痕量气体识别与检测[J]. 光谱学与光谱分析, 2024, 44(10): 2909-2915. FANG Xiaomeng, WANG Hualai, XU Hui, et al. Identification and detection of multi-component trace gases based on near-infrared TDLAS technology based on SVM[J]. Spectroscopy and Spectral Analysis, 2024, 44(10): 2909-2915.

周烽, 李晓斌, 张力, 等. 光谱学技术在温室气体监测方面的研究进展[J]. 化学试剂, 2024, 46(11): 105-113. ZHOU Feng, LI Xiaobin, ZHANG Li, et al. Recent progress of spectroscopy technology in greenhouse gas monitoring[J]. Chemical Reagents, 2024, 46(11): 105-113.

姚顺春, 黎珈彤, 郭松杰, 等. 光谱诊断技术在氨燃烧组分测量中的研究进展[J]. 洁净煤技术, 2026, 32(4): 198-212. YAO Shunchun, LI Jiatong, GUO Songjie, et al. Research progress of spectral diagnostic techniques in measuring ammonia combustion species[J]. Clean Coal Technology, 2026, 32(4): 198-212.

樊景星, 贺拴玲, 卢建彬, 等. 基于TDLAS测量的痕量CO常温催化转化研究[J]. 激光与红外, 2024, 54(6): 908-914. FAN Jingxing, HE Shuanling, LU Jianbin, et al. Research on catalytic conversion of trace CO at room temperature based on TDLAS measurement[J]. Laser & Infrared, 2024, 54(6): 908-914.

翟云楚. 基于可调谐激光吸收光谱的温度和气体浓度二维分布测量研究[D]. 杭州: 浙江大学, 2022. ZHAI Yunchu. Research on two-dimensional reconstruction of temperature and gas concentration based on tunable diode laser absorption spectroscopy[D]. Hangzhou: Zhejiang University, 2022.

张立芳, 杨艳霞, 赵贯甲, 等. 基于二维吸收光谱重建的数值迭代算法的比较[J]. 光谱学与光谱分析, 2023, 43(5): 1367-1375. ZHANG Lifang, YANG Yanxia, ZHAO Guanjia, et al. Comparison of numerical iterative algorithms for two-dimensional absorption spectral reconstruction[J]. Spectroscopy and Spectral Analysis, 2023, 43(5): 1367-1375.

单彦博, 张立芳, 赵贯甲, 等. 基于可调谐激光吸收光谱技术的预混火焰重建算法比较[J]. 光学技术, 2023, 49(5): 600-608. SHAN Yanbo, ZHANG Lifang, ZHAO Guanjia, et al. Comparison of premixed flame reconstruction algorithms based on tunable laser absorption spectroscopy[J]. Optical Technique, 2023, 49(5): 600-608.

那奕君. 基于虚拟光线再投影的激光吸收光谱燃烧场二维重建研究[D]. 南京: 南京理工大学, 2019. NA Yijun. Research on two-dimensional reconstruction of combustion based on laser absorption spectroscopy using virtual ray reprojection method[D]. Nanjing: Nanjing University of Science and Technology, 2019.

ZHAO Rong, DU Cheng, ZHANG Jianyong, et al. Reconstruction algorithm optimization based on multi-iteration adaptive regularity for laser absorption spectroscopy tomography[J]. Applied Sciences, 2023, 13(21): 12083.

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基于TDLAS的二维温度场与H2O浓度场重建研究

Research on Reconstruction of Two-dimensional Temperature Field and H2O Concentration Field Based on TDLAS

DOI：10.19805/j.cnki.jcspe.2026.250436

摘要

Abstract

关键词

Keywords

references

基于TDLAS的二维温度场与H₂O浓度场重建研究

Research on Reconstruction of Two-dimensional Temperature Field and H₂O Concentration Field Based on TDLAS