摘要
研制的大气颗粒物浓度监测装置在使用前须依照标准数据进行参数整定;在介绍大气颗粒物浓度监测装置检测原理的基础上,结合环境监测总站公布的武汉青山地区PM10、PM2.5浓度数据,开展监测装置输出观测数据采集实验和参数整定研究;首先,使用格拉布斯准则对观测数据进行筛选;其次,匹配观测数据与实际数据,利用皮尔逊积矩相关系数分析数据之间的线性关联度;最后利用最小二乘法求解用于拟合的线性回归方程系数;应用结果证明了所述理论方法、整定过程的有效性和可行性。
Parameters of the particulate matter concentration monitoring equipment （PMCME） which is newly developed must be set according to the standard data of the observation. Based on introductions of the PMCME detection principle, observation data acquisition experiment and the process of parameter setting are carried out. The standard concentration data of PM10 and PM2.5 comes from Qingshan district, Wuhan city, which are released by the environmental monitoring centre of China. Firstly, all observation data are filtered with Grubbs rules. Secondly, match the observation data and the standard data and analyze the linear correlation with the Pearson product--moment correlation coefficient. Lastly, calculate coefficients of the linear regression equation for the curve fitting with the least square method. The result of the application shows that the proposed theories and the setting process are effective and feasible.
出处
《计算机测量与控制》
2015年第4期1148-1150,1185,共4页
Computer Measurement &Control
基金
国家自然科学基金(51308426)
武汉科技大学大学生科技创新基金(13ZZA114)
