基于激光诱导击穿光谱的煤质快速分析研究及应用

doi:10.3969/j.issn.1007-5461.2021.06.002

量子电子学报 ›› 2021, Vol. 38 ›› Issue (6): 727-750.doi: 10.3969/j.issn.1007-5461.2021.06.002

• "激光光谱新技术与应用”专辑(续） • 上一篇下一篇

基于激光诱导击穿光谱的煤质快速分析研究及应用

徐水秀1 , 喻子彧1 , 覃淮青1 , 莫爵徽2 , 卢志民1 , 董美蓉1 , 陆继东1 , 姚顺春1,3∗

1 华南理工大学电力学院, 广东广州 510640; 2 佛山华谱测智能科技有限公司, 广东佛山 528313; 3 广东省能源高效低污染转化与工程技术研究中心, 广东广州 510640

收稿日期:2021-06-30 修回日期:2021-09-07 出版日期:2021-11-28 发布日期:2021-11-28
通讯作者: 徐水秀 ( 1997 - ), 女, 浙江衢州人, 研究生, 主要从事能源清洁转化与系统优化方面的研究。 E-mail: 1072013579@qq.com E-mail: E-mail: epscyao@scut.edu.cn
基金资助:
Supported by National Natural Science Foundation of China (国家自然科学基金, 51676073), Fok Ying Tong Education Foundation for Young Teachers in the Higher Education Institutions of China (霍英东教育基金会高等学校青年教师基金, 171047), Guangdong Province Natural Science Foundation for Distinguished Youth (广东省自然科学基金杰出青年项目, 2021B1515020071), Guangdong Provincial Key Laboratory of Efficient and Clean Energy Utilization (广东省能源高效清洁利用重点实验室, 2013A061401005)

Research and application of rapid analysis of coal quality by laser-induced breakdown spectroscopy

XU Shuixiu 1 , YU Ziyu 1 , QIN Huaiqing 1 , MO Juehui 2 , LU Zhimin 1 , DONG Meirong 1 , LU Jidong 1 , YAO Shunchun 1,3∗

1 College of Electric Power, South China University of Technology, Guangzhou 510640, China; 2 Cntest Intelligent Scien-tech Co., Ltd., Foshan 528313, China; 3 Guangdong Province Engineering Research Center of High Efficiency and Low Pollution Energy Conversion, Guangzhou 510640, China

Received:2021-06-30 Revised:2021-09-07 Published:2021-11-28 Online:2021-11-28
Contact: E-mail: epscyao@scut.edu.cn E-mail: E-mail: epscyao@scut.edu.cn

摘要/Abstract

摘要： 煤电是我国的主力电源, 也是碳排放的主要来源, 实现煤质快速检测有利于提升煤电机组的安全、低碳和经济运行水平, 促进电厂智能化发展。激光诱导击穿光谱 (LIBS) 技术是一项新兴的快速测量技术, 具有无需复杂样品预处理、多指标同步分析、适用于在线测量等优点, 在煤质快速检测领域具有良好的应用前景。对本团队近年来在 LIBS 煤质检测领域的基础研究和应用开发成果进行了总结和展望, 重点概括了 LIBS 检测煤质中遇到的主要问题及解决方案, 展示了 LIBS 技术在煤质快速检测领域的应用潜力。

关键词: 激光技术, 煤质快速分析, 激光诱导击穿光谱, 基础研究, 应用开发

Abstract: As coal power is the main power source of China and one of the main sources of carbon emissions, the rapid detection of coal quality is conducive to improve the safe, low-carbon and economic operation level for coal-fired power units and promoting the intelligent development of power plants. Laser-induced Breakdown Spectroscopy (LIBS) is a rising rapid measurement technology. Because of its advantages such as no or little sample pretreatment, multi-element simultaneous analysis and online analysis, LIBS has a good application prospect in the field of rapid analysis of coal quality. This paper summarizes the basic research and application development results of the author’s team in the field of LIBS coal quality detection in recent years, with focus on the main problems encountered in LIBS coal detection and their solutions, and demonstrates the application potential of LIBS in the rapid detection of coal quality.

Key words: laser technique, rapid analysis of coal property, laser-induced breakdown spectroscopy; basic research, application development

中图分类号:

O433
TK16

徐水秀, 喻子彧, 覃淮青, 莫爵徽, 卢志民, 董美蓉, 陆继东, 姚顺春, ∗. 基于激光诱导击穿光谱的煤质快速分析研究及应用[J]. 量子电子学报, 2021, 38(6): 727-750.

XU Shuixiu , YU Ziyu , QIN Huaiqing , MO Juehui , LU Zhimin , DONG Meirong , LU Jidong , YAO Shunchun , ∗. Research and application of rapid analysis of coal quality by laser-induced breakdown spectroscopy[J]. Chinese Journal of Quantum Electronics, 2021, 38(6): 727-750.

参考文献

[1]国家统计局.中华人民共和国2020年国民经济和社会发展统计公报 [N]. 人民日报, 2021-03-01(010).
[2]邓旭，谢俊，滕飞.何谓“碳中和[J].气候变化研究进展, 2021, 17(01):107-113
[3]赵静波.煤的激光诱导等离子体特性及其基体效应研究 [D]. 广州：华南理工大学硕士论文, 2018.
[4]甘丹.煤质在线检测技术及发展前景 [J]. 科技创新与应用, 2013(08): 75.
[5]冯利.近红外光谱技术在煤质分析中的应用及展望 [J]. , 2019(05): 197-199.[J].中国设备工程, 2019, (05):197-199
[6]赵忠辉，方全国.煤质在线检测技术现状及发展趋势分析 [J]. 煤质技术, 2017(04): 18-21.
[7]赵忠辉.基于无源的煤质在线检测技术发展与应用分析[J].煤炭技术, 2018, 37(01):312-315
[8]Ottesen D K, Baxter L L, et al.Laser spark emission spectroscopy for in-situ,real-time monitoring of pulverized coal particle composition[J].Energy & Fuels, 1991, 5(2):304-312
[9]Body D, Chadwick B L.Simultaneous elemental analysis system using laser induced breakdown spectroscopy[J].Review of Scientific Instruments, 2001, 72(3):1625-1629
[10]Body D, Chadwick B L.Optimization of the spectral data processing in a LIBS simultaneous elemental analysis system[J].Spectrochimica Acta Part B, 2001, 56(6):725-736
[11]Chadwick B L, Body D.Development and commercial evaluation of laser-induced breakdown spectroscopy chemical analysis technology in the coal power generation industry[J].Applied Spectroscopy, 2002, 56(1):70-74
[12]Gaft M, Sapir-Sofer I, et al.Laser induced breakdown spectroscopy for bulk minerals online analyses[J].Spectrochimica Acta Part B, 2007, 62(12):1496-1503
[13]Gaft M, Dvir E, et al.Laser induced breakdown spectroscopy machine for online ash analyses in coal[J].Spectrochimica Acta Part B, 2008, 63(10):1177-1182
[14]李立志.提高激光诱导击穿光谱测量的可重复性及煤质应用 [D]. 北京：清华大学硕士论文, 2012.
[15]冯杰.提高激光诱导击穿光谱定量精度的研究及煤质应用 [D]. 北京：清华大学硕士论文, 2011.
[16]李雄威，王哲，等.基于激光诱导击穿光谱的燃煤热值定量分析[J].红外与激光工程, 2017, 46(07):9-13
[17]李雄威.激光诱导击穿光谱法测量煤中碳含量的基体效应及其消除 [D]. 北京：清华大学博士论文, 2014.
[18]Hou Z Y, Wang Z, Yuan T B, et al.A hybrid quantification model and its application for coal analysis using laser induced breakdown spectroscopy[J].Journal of Analytical Atomic Spectrometry, 2016, 31(3):722-736
[19]Fu Y T, Gu W L, Hou Z Y, et al.Mechanism of signal uncertainty generation for laser-induced breakdown spectroscopy[J].Frontiers of Physics, 2020, 16(2):22502-
[20]Hou Z Y, Afgan M S, Sheta S, et al.Plasma modulation using beam shaping to improve signal quality for laser induced breakdown spectroscopy[J].Journal of Analytical Atomic Spectrometry, 2020, 35(8):1671-1677
[21]张雷，侯佳佳，等.激光诱导击穿光谱精确测定燃煤工业分析指标的研究[J].光谱学与光谱分析, 2017, 37(10):3198-3203
[22]张雷，马维光，闫晓娟等.激光诱导击穿光谱实验装置的参数优化研究[J].光谱学与光谱分析, 2011, 31(9):2335-2360
[23]尹王保，张雷，张建宏，等.基于激光诱导击穿光谱的煤元素分析研究[J].测试技术学报, 2011, 4(25):356-359
[24]尹王保，张雷，王乐，等.空气环境下基于煤中氧含量分析研究[J].光谱学与光谱分析, 2012, 32(1):200-203
[25]尹王保，张雷，王乐，等.基于煤中碳元素定量分析研究[J].光谱学与光谱分析, 2012, 32(5):1355-1358
[26]Zhang L, Hou J J, Zhao Y, et al.Investigation on Accurate Proximate Analysis of Coal Using Laser-Induced Breakdown Spectroscopy[J].Spectroscopy and Spectral Analysis, 2017, 37(10):3198-3203
[27]Li X, Zhang L, Tian Z, et al.Ultra-repeatability measurement of the coal calorific value by XRF assisted LIBS[J].Journal of Analytical Atomic Spectrometry, 2020, 35(12):2928-2934
[28]谢承利.激光诱导击穿光谱数据处理方法及在煤分析中的应用研究 [D]. 武汉：华中科技大学博士论文, 2009.
[29]谢承利，陆继东，等.基于激光感生击穿光谱的燃煤结渣特性评估[J].中国电机工程学报, 2007, 27(23):24-27
[30]谢承利，陆继东，等.激光诱导击穿光谱物质辨识与定量分析 [J][J].激光与光电子学进展, 2009, 46(11):65-72
[31]Andrzej V P, Miziolek W, Schechter I.Laser-induced breakdown spectroscopy (LIBS)-fundamentals and applications [D]. Cambridge, UK: Doctorial Dissertation of Cambridge University Press: 2006.
[32]王昭宏，朱祝彪.激光显微发射光谱定量分析基本公式的探讨[J].岩矿测试, 1989, 2(9):149-151
[33]陈世和，陆继东，等.不同激光参数下煤粉颗粒流等离子体特性分析[J].红外与激光工程, 2014, 43(01):113-118
[34]郑建平，陆继东，等.空气环境下煤粉流多元素同时检测中激光能量研究[J].光谱学与光谱分析, 2014, 34(01):221-225
[35]陈世和，陆继东，等.激光诱导击穿光谱法测量煤粉流的控制因素[J].光学精密工程, 2013, 21(07):1651-1658
[36]罗嘉，陆继东，等.煤粉颗粒流在不同焦点位置条件下的激发特性[J].强激光与粒子束, 2013, 25(10):2682-2686
[37]莫爵徽.激光诱导击穿光谱煤质工业分析研究与设备研发 [D]. 广州：华南理工大学硕士论文, 2018.
[38]姚顺春，陆继东，董美蓉，等.技术在不同收光模式下同步测量燃煤灰成分[J].中国电机工程学报, 2013, 33(11):54-60
[39]张曦，陆继东，潘刚，等.不同收光角度下煤粉颗粒流的光谱特性研究[J].光谱学与光谱分析, 2013, 33(06):1473-1476
[40]Hahn D W, Omenetto N.Laser-induced breakdown spectroscopy (LIBS),part II: review of instrumental and methodological approaches to material analysis and applications to different fields[J].Applied Spectroscopy, 2012, 66(4):347-419
[41]谢克昌.煤的结构与反应性 [M]. 北京：科学出版社, 2002.
[42]董美蓉，陆继东，陈凯，等.碳元素形态的激光诱导击穿光谱特性[J].强激光与粒子束, 2010, 22(02):270-274
[43]陈世和，陆继东，李军，等.不同煤种煤粉颗粒流的等离子体特性研究[J].光电子. 激光, 2013, 24(03):596-601
[44]姚顺春，陆继东，等.样品形态对燃煤的激光烧蚀特性影响分析[J].光学学报, 2009, 29(04):1126-1130
[45]李娉，陆继东，等.水分对激光诱导煤粉等离子体特性的影响[J].中国激光, 2009, 36(04):828-832
[46]Yao S C, Zhao J B, et al.Analysis of spectral properties for coal with different volatile contents by laser-induced breakdown spectroscopy [J]. Spectrochimica Acta Part B: Atomic Spectroscopy, 2018:S0584854718301447-.
[47]Yao S C, Zhao J B, Xu J L, et al.Optimizing the binder percentage to reduce matrix effects for the LIBS analysis of carbon in coal[J].Journal of Analytical Atomic Spectrometry, 2017, 32(4):772-776
[48]Yao S C, Xu J L, et al.Optimization of laser-induced breakdown spectroscopy for coal powder analysis with different particle flow diameters [J]. Spectrochimica Acta Part B: Atomic Spectroscopy, 2015, 110.
[49]郑建平.煤粉颗粒流的激光诱导击穿光谱特性及其测量方法研究 [D]. 广州：华南理工大学博士论文, 2014.
[50]Zheng J P, Lu J D, Zhang B, et al.Experimental study of laser-induced breakdown spectroscopy (LIBS) for direct analysis of coal particle flow[J].Applied spectroscopy, 2014, 68(6):672-
[51]卢伟业.煤粉颗粒流光谱特性及测量参数的优化研究 [D]. 广州：华南理工大学硕士论文, 2013.
[52]Yao S C, Zhang L F, et al.Identifying laser-induced plasma emission spectra of particles in gas-solid flow based on the standard deviation of intensity across an emission line[J].Journal of Analytical Atomic Spectrometry, 2018, 33(10):1676-1682
[53]陈小玄，卢志民，等.正态曲线剔除法提高快速测量煤炭灰分精确度[J].中国电机工程学报, 2019, 39(04):1105-1113
[54]Yu Z Y, Yao S C, Zhang L F, et al.Surface-enhanced laser-induced breakdown spectroscopy utilizing metallic target for direct analysis of particle flow[J].Journal of Analytical Atomic Spectrometry, 2019, 34(1):172-179
[55]Yao S C, Yu Z Y, Xu S X, et al.Repeatability improvement in laser induced plasma emission of particle flow by aberration-diminished focusing [J]. Spectrochimica Acta Part B: Atomic Spectroscopy, 2020, 175.
[56]刘彦，陆继东，李娉，等.内标法在激光诱导击穿光谱测定煤粉碳含量中的应用[J].中国电机工程学报, 2009, 29(05):1-4
[57]Yao S C, Xu J L, Bai K J, Lu J D.Improved Measurement Performance of Inorganic Elements in Coal by Laser-Induced Breakdown Spectroscopy Coupled with Internal Standardization[J].Plasma Science and Technology, 2015, 17(11):938-943
[58]董美蓉，陆继东，姚顺春，等.基于多元定标法的煤粉碳元素定量分析[J].工程热物理学报, 2012, 33(01):175-179
[59]樊炬.基于激光诱导击穿光谱的煤质工业分析研究 [D]. 广州：华南理工大学硕士论文, 2016.
[60]樊炬，王帝，等.基于激光诱导击穿光谱的燃煤挥发分定量分析[J].广东电力, 2015, 28(09):7-11
[61]Lu Z M, Mo J H, Yao S C, et al.Rapid Determination of the Gross Calorific Value of Coal Using Laser-Induced Breakdown Spectroscopy Coupled with Artificial Neural Networks and Genetic Algorithm[J].Energy & Fuels, 2017, 31(4):3849-3855
[62]李越胜，卢伟业，赵静波，等.基于神经网络和激光诱导击穿光谱的燃煤热值快速测量方法研究[J].光谱学与光谱分析, 2017, 37(08):2575-2579
[63]Qin H Q, Lu Z M, Yao S C, et al.Combining laser-induced breakdown spectroscopy and Fourier-transform infrared spectroscopy for the analysis of coal properties [J]. J Anal Atom Spectrom, 2019, 34(2), 347-355.
[64]Yao S C, Qin H Q, et al.Optimizing analysis of coal property using laser -induced breakdown and near -infrared reflectance spectroscopies [J]. Spectrochim Acta A, 2020, 239.
[65]National Standardization Technical Committee.Specifications of on-line analyzer for coal based on neutron activation analysis: GB/T 29161-2012 [S]. Beijing: China Standard Press, 2013.
[66]He Yongchao, Yu Ziyu, Shi Libao, et al.Feasibility study of direct measurement of raw coal property on conveyor belt by LIBS [J]. Clean Coal Technology, 2021, 1-7(in Chinese).
[67]21, 1-7.

基于激光诱导击穿光谱的煤质快速分析研究及应用

Research and application of rapid analysis of coal quality by laser-induced breakdown spectroscopy

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