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作 者:季静静 张泽镔 陶刚强 秦家涛 李作兵 鲁翠萍 Ji Jingjing;Zhang Zebin;Tao Gangqiang;Qin Jiatao;Li Zuobing;Lu Cuiping(Zhejiang Zheneng Shaoxing Binhai Thermal Power Co.,Ltd.,Shaoxing 312000,Zhejiang,China;Anhui Huangchen Electronic Technology Co.,Ltd.,Tongling 244000,Anhui,China;School of Advanced Manufacturing Engineering,Hefei University,Hefei 230601,Anhui,China)
机构地区:[1]浙江浙能绍兴滨海热电有限责任公司,浙江绍兴312000 [2]安徽恍辰光电子科技有限公司,安徽铜陵244000 [3]合肥大学先进制造工程学院,安徽合肥230601
出 处:《应用激光》2024年第7期190-198,共9页Applied Laser
基 金:国家自然科学基金(61505001);安徽省科技重大专项(202103a07020009)。
摘 要:燃煤中硫含量和热值是影响发电厂锅炉工作效率的重要指标之一。将自主研制的激光诱导击穿光谱在线检测系统用于燃煤的实时快速定量分析。以实际生产过程中的57个煤样品为分析对象,43个样品用于建模,14个样品用于验证。根据在线检测系统获取的特征光谱,选取硫、碳、镁、硅、铁、钙、氢、氧、氮等元素的多条特征谱线,采用多元线性回归建立分析模型,再用偏最小二乘法对多元线性回归进行修正,最终建立基于两种分析方法的定量分析模型。结果表明,采用多元线性回归与偏最小二乘法结合的建模方法具有比较理想的分析结果,有助于提高燃煤的硫元素和热值检测的精确度和准确度,模型的决定系数R^(2)分别为0.925、0.951、0.951,相对偏差的平均值(ARE)分别为3.16%、0.67%、0.52%。This paper presents the application of a self-developed laser-induced breakdown spectroscopy(LIBS)online detection system for the rapid and quantitative analysis of coal combustion parameters,specifically sulfur content and calorific value,which are critical indicators affecting the efficiency of power plant boilers.A total of 57 coal samples from actual production were analyzed,with 43 dedicated to model development and 14 for validation.The system captured characteristic spectra,from which multiple spectral lines corresponding to sulfur,carbon,magnesium,silicon,iron,calcium,hydrogen,oxygen,and nitrogen were selected.Analytical models were initially developed using multiple linear regression(MLR)and subsequently refined with partial least squares regression(PLSR).The combined MLR and PLSR approach yielded superior analytical outcomes,enhancing the precision and accuracy of sulfur and calorific value determination in coal.The models achieved coefficients of determination(R^(2))of 0.925,0.951,and 0.951,with average relative errors of 3.16%,0.67%,and 0.52%,respectively.
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