Method for identifying laser plasma spectrum of grain flow through standard deviation of characteristic peak strength

• Main Authors: BAI KAIJIE, XU JIALONG, YAO SHUNCHUN, LU ZHIMIN, LU JIDONG, YIN KEJING
• Format: Patent
• Language: Chinese; English
• Published: 20.07.2016
• Subjects: INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES; MEASURING; PHYSICS; TESTING

The invention discloses a method for identifying a laser plasma spectrum of grain flow through standard deviation of characteristic peak strength.According to the method, a laser-induced breakdown spectrum detection system is utilized for obtaining laser plasma spectrum data of a grain flow sample, a standard deviation value of the strength of characteristic peak pixel points of a selected element spectral line is calculated, and whether the spectrum data is valid or invalid is identified according to a set threshold value.Distribution information of characteristic peaks of the element spectral line in the laser plasma spectrum is utilized comprehensively, the process of identifying the spectrum data is simplified, and the accuracy of invalid spectrum removal is improved. 本发明公开特征峰强度标准偏差鉴别颗粒流激光等离子体光谱的方法。本发明利用激光诱导击穿光谱检测系统得到颗粒流样品的激光等离子体光谱数据，再计算所选取元素谱线的特征峰像素点强度的标准偏差值，根据设定的阈值鉴别光谱数据为有效或无效。本发明综合利用了激光等离子体光谱中元素谱线特征峰的分布信息，简化了鉴别光谱数据的过程，提高了剔除无效光谱的准确性。