烟气排放系统中通风量多元回归分析

Multiple Regression Analysis of Ventilation in Flue Gas Emission System

本文在南京市计量监督检测院烟气排放项目的基础上,提出了基于通风量多元回归的数学模型。采集对通风量影响较大的瓦斯浓度,温度,湿度和粉尘浓度四个参数,建立了线性回归数学模型。实验证明该模型能够正确的预测出烟气排放中通风量与其它参数之间的数学关系,为企业的烟气排放提供了科学的依据。

This paper proposed a mathematical model based on multiple regression of ventilation volume by the project of smoking emission in Nanjing Institute of Measurement and Testing Technology.The linear regression mathematical model was established by collecting four parameters of gas concentration,temperature,humidity and dust concentration which have great influence on ventilation.The experiment shows that this model can correctly predict the mathematical relationship between the ventilation volume and other parameters in the flue gas emission,and provides a scientific basis for the company's flue gas emissions.