大气与环境光学学报 ›› 2013, Vol. 8 ›› Issue (1): 26-35.

• 环境光学监测技术 • 上一篇    下一篇

激光诱导击穿光谱技术在燃煤电厂及土壤污染物在线检测中的应用研究

胡志裕, 张雷, 尹王保, 马维光, 董磊, 贾锁堂   

  1. (量子光学与光量子器件国家重点实验室,山西大学激光光谱实验室,山西 太原 030006)
  • 收稿日期:2012-07-04 修回日期:2012-08-24 出版日期:2013-01-28 发布日期:2013-01-07
  • 通讯作者: 张雷(1981-),男,山西芮城人,副教授,博士,主要从事激光技术及光谱分析技术方面的研究。 E-mail:k1226@sxu.edu.cn
  • 作者简介:胡志裕(1985-),男,山西偏关人,研究生,主要从事应用激光光谱方面的研究。
  • 基金资助:

    国家基金仪器专项(61127017)、国家自然科学基金(61205216)、山西省环境项目(2011256)、国家(973计划)项目(2012CB921600)、国家基金重点项目(10934004)、国家自然科学基金 (61178009)、国家青年基金(61108030)、国家自然科学基金 (60978018)资助

Application of Laser-Induced Breakdown Spectroscopy to Coal-Fired Power Plants and Soil Contaminants On-line Monitoring

HU Zhi-yu, ZHANG Lei, YIN Wang-bao, MA Wei-guang, DONG Lei, JIA Suo-tang   

  1. (State Key Laboratory of Quantum Optics and Quantum Optics Devices, Laser Spectroscopy Laboratory, Shanxi University, Taiyuan 030006, China)
  • Received:2012-07-04 Revised:2012-08-24 Published:2013-01-28 Online:2013-01-07

摘要:

介绍了自主研发的激光诱导击穿光强技术(LIBS)煤质在线检测设备,可完成自动取样并带有自清洁系统,能实时对电厂输煤管道中煤粉的C、Ca、Mg、Ti、Si、H、Al、Fe、S等元素进行自动定量分析并转化为工业分析(发热量和灰分)结果。提出了飞灰含碳量在线检测成套方案并研制了自动采样及LIBS检测装置,建立了去除C线中Fe线的数学方法,利用二阶多元非线性逆回归模型建立了定标方程来校正基底效应,获得了0.26%的C元素测量精度。开发了便携式LIBS设备用于土壤污染物的现场检测,可对土壤中的重金属污染物进行快速的定性分析。

关键词: 激光诱导击穿光谱, 煤质检测, 工业分析, 飞灰含碳量, 多元回归, 土壤污染物

Abstract:

A self-designed laser-induced breakdown spectroscopy (LIBS) equipment with self-cleaning system for on-line coal quality monitoring was introduced. By using the device, automatic sampling can be realized, and automatic real-time quantitative analysis of the elements of C, Ca, Mg, Ti, Si, H, Al, Fe, S in pulverized coal of coal transportation pipeline can be accomplished and be converted into industrial analysis (gross calorific value and coal ash) results. An automated prototype LIBS apparatus has been developed for possible application to power plants for on-line analysis of unburned carbon (UC) content in fly ash. A new mathematical process is proposed to distinguish C line from Fe line, and the second-order polynomial multivariate inverse regression is utilized to establish the calibration model and minimize the matrix effects, with the accuracy of carbon content measurement to be 0.26%. Finally, portable LIBS device for soil contaminants in situ detection is reviewed, which can accomplish fast qualitative analysis of heavy metal in soil.

Key words: laser-induced breakdown spectroscopy, coal quality monitor, proximate analysis, unburned carbon in fly ash, multivariate regression, soil contaminant

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