回归模型在煤炭发热量检测中的应用  

Application of Regression Model in Coal Calorific Value Measurement

作　　者：徐广成 郑生 左兆迎 王斐[1] 赵政 刘刚 XU Guangcheng;ZHENG Sheng;ZUO Zhaoying;WANG Fei;ZHAO Zheng;LIU Gang(Rizhao Inspection and Certification Co.Ltd.,Rizhao,Shandong,276826,China;College of Safety and Environmental Engineering,Shandong University of Science and Technology)

机构地区：[1]日照检验认证有限公司,山东日照276826 [2]山东科技大学安全与环境工程学院

出　　处：《检验检疫学刊》2020年第1期86-88,共3页Journal of Inspection and Quarantine

摘　　要：本文采用回归分析的方法,建立了煤炭发热量与水分、灰分的二元回归方程,并经过R检验、F检验、共线性、自相关性等检验,证实该方程具有可行性及可靠性,建立了回归方程模型。依据回归方程对发热量区间的预测方法进行了说明,为煤炭发热量的预测提供可靠的依据。In this paper,through the method of regression analysis,the binary regression equation of coal calorific value,moisture and ash content is established.Through R test,F test,collinearity and autocorrelation test,the feasibility and reliability of the equation are verified.The regression equation is established and the prediction method between calorific value areas is explained according to the regression equation,which provides a reliable basis for the prediction of coal calorific value.

关 键 词：发热量 回归分析 拟合优度 显著性检验 预测 

分 类 号：TQ533.4[化学工程—煤化学工程]