摘要
文章对应用卡尔曼滤波算法的光散射法颗粒物监测仪进行了实验研究,发现光散射法颗粒物监测仪通过应用卡尔曼滤波算法,可以降低不同状态下的测量误差,减少极值点,从而提高测量精度。
In this paper,the application of Kalman filter algorithm on the light-scattering particle monitor was experimentally studied.It is found that the light-scattering particle monitor can reduce the measurement error of the monitor's measurement concentration in different states by applying the Kalman filtering algorithm,and reduce the extreme points,so as to improve the accuracy of its measurement.
作者
李江
张小婷
张泽宇
LI Jiang;ZHANG Xiao-ting;ZHANG Ze-yu(Jiangsu University,Zhenjiang,Jiangsu 212013;Organ Service Center,Ministry of Ecology and Environment,Beijing 100006;Beijing Conference and Training Base,Ministry of Ecology and Environment,Beijing 100095;Nuclear and Radiation Safety Center,Ministry of Ecology and Environment,Beijing 100082,China)
出处
《中国环保产业》
2021年第10期57-62,共6页
China Environmental Protection Industry
关键词
光散射法
卡尔曼滤波算法
滤波参数
线性回归
light scattering method
Kalman filtering algorithm
filtering parameters
linear regression
