首页 | 本学科首页   官方微博 | 高级检索  
     检索      

水泥生料品质激光在线检测设备研制
引用本文:李郁芳,张雷,弓瑶,赵书霞,赵洋,尹王保,马维光,董磊,张向杰,李逸,贾锁堂.水泥生料品质激光在线检测设备研制[J].光谱学与光谱分析,2016,36(5):1494-1499.
作者姓名:李郁芳  张雷  弓瑶  赵书霞  赵洋  尹王保  马维光  董磊  张向杰  李逸  贾锁堂
作者单位:1. 量子光学与光量子器件国家重点实验室,山西大学激光光谱研究所,山西 太原 030006
2. 极端光学协同创新中心,山西大学,山西 太原 030006
3. 太原紫晶科技有限公司,山西 太原 030006
4. 山西中条山新型建材有限公司,山西 临汾 041000
基金项目:国家重点基础研究发展计划项目(973计划)(2012CB921603),国家自然科学基金项目(61475093;61205216),国家科技支撑计划项目(2013BAC14B01),山西省高等学校创新人才支持计划项目资助
摘    要:水泥质量的优劣直接影响到建筑工程的安全,使用品质合格的水泥材料是保证工程结构质量的必要前提,因此快速检测水泥生料成份对于及时指导调整原料配比和保障水泥产品品质具有重要意义。传统的生料检测需要经过取样、制样、化验等环节,检测结果严重滞后于生产。我们通过产学研协同攻关,研制了一套基于激光诱导击穿光谱(laser-induced breakdown spectroscopy, LIBS)技术的水泥生料品质在线检测设备,该设备由LIBS光学检测系统和气动取送样系统两部分组成,实现了对水泥生产线上水泥生料品质的实时连续测量,避免了传统的取制样环节,从而大大缩短了化验时间,所测水泥生料成分的实时数据能够及时指导调整水泥原料的配比,保证水泥质量的合格。我们利用该LIBS水泥品质在线检测设备对水泥生产线上生料中的主成分Al2O3,CaO,Fe2O3,MgO和SiO2进行了定量分析,利用全谱归一化和支持向量机(support vector machine,SVM)对水泥生料建立定标模型,对水泥生料中Al2O3,CaO,Fe2O3,MgO和SiO2测量的最大误差分别是0.34%,0.35%,0.07%,0.14%和0.55%。现场实验结果表明,本水泥生料品质激光在线检测设备的测量结果与传统化验法的结果相吻合,测量精度与X射线荧光光谱法(XRF)相接近,从而证实了LIBS可以作为水泥在线检测的一种有前景的方法。

关 键 词:激光诱导击穿光谱  水泥生料品质  自动取样  在线检测  支持向量机  
收稿时间:2015-10-19

Development of a Laser On-Line Cement Raw Material Analysis Equipment
LI Yu-fang,ZHANG Lei,GONG Yao,ZHAO Shu-xia,ZHAO Yang,YIN Wang-bao,MA Wei-guang,DONG Lei,ZHANG Xiang-jie,LI Yi,JIA Suo-tang.Development of a Laser On-Line Cement Raw Material Analysis Equipment[J].Spectroscopy and Spectral Analysis,2016,36(5):1494-1499.
Authors:LI Yu-fang  ZHANG Lei  GONG Yao  ZHAO Shu-xia  ZHAO Yang  YIN Wang-bao  MA Wei-guang  DONG Lei  ZHANG Xiang-jie  LI Yi  JIA Suo-tang
Institution:1. State Key Laboratory of Quantum Optics and Quantum Optics Devices, Lab for Laser Spectoscopy, Shanxi University, Taiyuan 030006, China2. Collaborative Innovation Center of Extreme Optics, Shanxi University, Taiyuan 030006, China3. Taiyuan Zijing Technologies Company Limited, Taiyuan 030006, China4. Shanxi Zhongtiao Mountains New Building Materials Company Limited, Linfen 041000, China
Abstract:In engineering construction,cement quality directly affects the safety of construction proj ects.So it is necessary that we use qualified cement in the engineering structure.It is of great signification that a method detects cement raw material rapidly to adj ust the mixture ratio of raw ores to ensure the cement quality.Traditional detection method needs sampling,sample prepa-ration and test,etc.With many procedures,the test results are seriously lagged behind the production process.This paper in-troduces a set of online analysis equipment to determinate elemental composition of cement powder timely based on laser induced breakdown spectroscopy.This equipment is composed of a LIBS detection system and a pneumatic system.The equipment can achieve the real-time measurement for it needn’t sample preparation.Thus,it can guide cement raw material proportioning in time.In this paper,we have quantitatively analyzed the main components of Al2 O3 ,CaO,Fe2 O3 ,MgO and SiO2 in the cement raw materials using the full spectrum normalization method as well as the support vector machine.The corresponding maximum absolute errors were 0.34%,0.35%,0.07%,0.14%,and 0.55%,respectively.Results showed that the measurement results of the newly developed LIBS equipment are in accord with those of the conventional chemical method.Furthermore,the meas-urement precision is in line with X-Ray fluorescence spectrometry.It is confirmed that the LIBS technique could be a prospect method for determination of elemental composition in the cement production industries.
Keywords:Laser-induced breakdown spectroscopy  Cement raw material quality  Automatic sampling  On-line analysis  Sup-port vector machine
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《光谱学与光谱分析》浏览原始摘要信息
点击此处可从《光谱学与光谱分析》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号