摘要
通过自制Cu-TiO2光催化涂料,针对光催化涂料降解甲醛气体的效果与光催化时间的关系,利用环境测试舱模拟可见光源下的室内环境,从而获得甲醛气体浓度实测值。根据甲醛气体浓度实测值,分析GM(1,1)预测模型所存在的缺陷,在此基础上提出采用指数平滑技术和灰色理论相结合的方法构建一新的EX-GM(1,1)预测模型。该模型不仅可以大大减少实测值的随机性,还可以将实测值序列变换成规律性强的呈指数变化的序列,从而提高模型的预测精确度,其平均误差为-0.507%,尤其提高了Cu-TiO2光催化涂料降解甲醛效果预测过程后期(420～510 min)的精确度,其平均误差为-0.168%。EX-GM(1,1)预测模型的建立将为光催化涂料性能的研究提供一定的技术支持。
According to the relationship between the degradation effect of photocatalytic coating to formal- dehyde and the time of phutoeatalytic activity, the gasous formaldehyde concentration can be measured by u- sing self-made Cu -TiO2 photocatalytic coating in the simulated visible light environmental test chamber. The measured formaldehyde concentration was used to analyze and predict the limitation of the forecasting model GM （ 1 , 1 ） , then to establish a new method named EX - GM （ 1 , 1 ） , which combined the exponential smoothing with grey model. The new model not only decreased the randomness of measured values remark- ably, but also transformed the irregular values to a sequence with exponential movement, thus improving the fi^reeast precision of the model, of which average er,＇or was -0. 507%. Especially it improved the accuracy of the last stage in the whole prediction process （420 -510 min）, and the average error was only - 0. 168%. The establishment of the forecast model EX- GM（ 1,1 ） will provide technical support for the re- search on the photocatalytic coatings properties.
出处
《涂料工业》
CAS
CSCD
北大核心
2013年第1期27-31,共5页
Paint & Coatings Industry
基金
国家自然科学基金资助项目(编号:51206002)
安徽工业大学青年基金(编号:QZ201109)
关键词
灰色模型
指数平滑
光催化涂料
预测
甲醛
grey model
exponential smoothing
photocatalytic coatings
forecasting
formaldehyde
