CAJ | 학술논문

采用激光诱导击穿光谱技术对炉渣成分实时在线监测的研究过程中，谱峰的中心波长及其积分强度是定量分析的基础。为了快速自动识别海量的谱峰数据，文章基于有限状态机的句法编译了一套自动寻峰程序，并介绍了产生谱峰描述语言的文法和谱峰自动识别机。将该寻峰程序应用于自动识别激光诱导炉渣等离子体发射光谱数据和炉渣成分的在线分析，取得了较好的分析速度和精度，证明了该技术的有效性。
채용격광유도격천광보기술대로사성분실시재선감측적연구과정중，보봉적중심파장급기적분강도시정량분석적기출。위료쾌속자동식별해량적보봉수거，문장기우유한상태궤적구법편역료일투자동심봉정서，병개소료산생보봉묘술어언적문법화보봉자동식별궤。장해심봉정서응용우자동식별격광유도로사등리자체발사광보수거화로사성분적재선분석，취득료교호적분석속도화정도，증명료해기술적유효성。
The central wavelength and the integral intensity of the spectra are the foundation for online analysis of the slag elements using laser‐induced breakdown spectroscopy(LIBS) .In order to rapidly read out a large number of spectral information ,a set of programs based on finite‐state machine meth‐od is compiled to search spectral peaks automatically for the identification of the spectral data resulting from laser induced slag plasma emission .The description language grammar and the automatic recog‐nition machine of spectral peaks are also introduced .The analytical speed and accuracy gained auto‐matically with LIBS on the melted slag samples by applying the compiled program to the laser induced plasma spectra are acceptable for online application ,w hich verifies the effectiveness of the proposed method .