激光诱导击穿光谱（LIBS）谱线具有很窄的展宽，且光谱仪因外界温度条件的变化存在波长漂移，光谱数据为离散数字信号，受噪声、谱线重叠及连续背景的影响，信号存在失真和变形。而目前光谱仪自带谱线识别分析软件主要以“就近原则”为主，错误率较高，必须依赖于人眼的观察对比。针对这个问题，在研究LIBS光谱特性的基础上，提出了一种窗口可变滑动相关分析方法（CAASW），用于激光诱导击穿光谱谱线自动识别。以土壤标准物质为样品，对该方法进行了实验分析和评价，与光谱仪自带分析识别软件相比，CAASW明显提高了识别准确率和识别速度，最终实现了谱线的自动识别。

The width of spectral line acquired by laser induced breakdown spectroscopy (LIBS) is narrow. Spectrometer exists wavelength shift as the temperature of external environment is changing. The discrete digital spectral data is influnced by noise, spectral overlap, and continued background emission. The signal has distortion and deformation. The method of spectral line recognition in current spectrometer software is maily the principle of proximity which results in high error rate and depends on people′s observation. Considering this problem, based on the study of characteristic of LIBS, A method of correlative analysis with an alterable and scannable window (CAASW) is presented in spectral automatically recognition of laser-induced breakdown spectroscopy. In experiment, using soil sample, the process of the method is analyzed and the results are evaluated. Compared with the spectral recognition software of spectrometer, the CAASW is more exact and less time spending, and it can recognize spectral lines automatically.