飞灰含碳量的预测与测量不确定度的评定  

Prediction of Unburned Carbon in Flue Dust and Evaluation of Measurement Uncertainty

作　　者：何峰[1] He Feng

机构地区：[1]湖南华菱湘潭钢铁有限公司能源环保部,湖南湘潭411101

出　　处：《工业控制计算机》2020年第4期21-23,共3页Industrial Control Computer

摘　　要：由于传统人工灼烧失碳法对飞灰含碳量的测定存在严重滞后锅炉燃烧实际工况的问题,结合人工灼烧失碳法的测量原理和测定过程,将加灰量和灼烧失碳量作为数据点,采用最小二乘法拟合,建立飞灰含碳量的预测模型。此外,为了确保飞灰含碳量测定结果的准确可靠,逐项分析测量过程中的不确定度来源,根据测量不确定度的基本方法和程序,建立飞灰含碳量测量不确定度评定的数学模型,重点探讨最小二乘法拟合、质量称量、重复性测量引入的标准不确定度,合成不确定度和扩展不确定度。结果表明,飞灰含碳量的测定值和预测值两者的相关性强(相关系数为0.632)。当加灰量为1.5g时,灼烧失碳量的预示值为0.0687g,飞灰含碳量的预测值为4.58%,计算得出合成不确定度为0.0032g,扩展不确定度为0.0064g,验证了该方法的可行性和有效性。In the process of determining unburned carbon in flue dust(UCFD,for short in this paper)in the traditional artificial burning and carbon loss method,there is a serious problem of the actual operating conditions of boiler combustion.Combined with the measurement principle and measurement process of the artificial burning and carbon loss method,the ash addition amount and the lost carbon loss amount are taken as the data points,and the least square method is used to fit and establish the prediction model of UCFD.In addition,in order to ensure the accuracy and reliability of the determination results of UCFD,the source of uncertainty in the measurement process is analyzed item by item.According to the basic method and procedure of measurement uncertainty,the mathematical model for estimating the uncertainty of UCFD is established.Focus on the standard uncertainty,combined uncertainty and expanded uncertainty introduced by least squares fitting,mass weighing,repeatability measurement.The results show that the correlation between the measured value of UCFD and the predicted value is strong(correlation coefficient is 0.632).When the amount of ash added is 1.5g,the predicted value of carbon loss in burning is 0.0687g,and the predicted value of UCFD is 4.58%.The combined uncertainty is 0.0032g and the expanded uncertainty is 0.0064g.The data verifies the feasibility and effectiveness of the method.

关 键 词：飞灰含碳量 最小二乘法 合成不确定度 扩展不确定度 

分 类 号：TM621.2[电气工程—电力系统及自动化]