Yin Wangbao, Zhang Lei, Dong Lei, Ma Weiguang, Jia Suotang
State Key Laboratory of Quantum Optics and Quantum Optics Devices, College of Physics and Electronics Engineering, Shanxi University, Taiyuan 030006, P.R. China.
Appl Spectrosc. 2009 Aug;63(8):865-72. doi: 10.1366/000370209788964458.
It is vitally important for a power plant to determine the chemical composition of coal prior to combustion in order to obtain optimal boiler control. In this work, a fully software-controlled laser-induced breakdown spectroscopy (LIBS) system comprising a LIBS apparatus and sampling equipment has been designed for possible application to power plants for on-line quality analysis of pulverized coal. Special attention was given to the LIBS system, the data processing methods (especially the normalization with Bode Rule/DC Level) and the specific settings (the software-controlled triggering source, high-pressure gas cleaning device, sample-preparation module, sampling module, etc.), which gave the best direct measurement for C, H, Si, Na, Mg, Fe, Al, and Ti with measurement errors less than 10% for pulverized coal. Therefore, the apparatus is accurate enough to be applied to industries for on-line monitoring of pulverized coal. The method of proximate analysis was also introduced and the experimental error of A(ad) (Ash, 'ad' is an abbreviation for 'air dried') was shown in the range of 2.29 to 13.47%. The programmable logic controller (PLC) controlled on-line coal sampling equipment, which is designed based upon aerodynamics, and is capable of performing multipoint sampling and sample-preparation operation.
对于发电厂而言，在燃烧前确定煤的化学成分以实现最佳的锅炉控制至关重要。在这项工作中，设计了一种完全由软件控制的激光诱导击穿光谱（LIBS）系统，该系统包括一个LIBS装置和采样设备，有望应用于发电厂对煤粉进行在线质量分析。特别关注了LIBS系统、数据处理方法（尤其是采用博德规则/直流电平进行归一化）以及特定设置（软件控制的触发源、高压气体净化装置、样品制备模块、采样模块等），这些设置对煤粉中的C、H、Si、Na、Mg、Fe、Al和Ti给出了最佳直接测量结果，测量误差小于10%。因此，该装置精度足以应用于工业领域对煤粉进行在线监测。还介绍了工业分析方法，并显示出A(ad)（灰分，'ad'是'风干'的缩写）的实验误差在2.29%至13.47%范围内。基于空气动力学设计的可编程逻辑控制器（PLC）控制的在线煤采样设备，能够进行多点采样和样品制备操作。
