摘要
风向传感器是自动气象站的重要组成元件,由于其运行数据存在的噪声与缺失问题导致测量误差增加,因此设计基于非线性拟合的自动气象站风向传感器校准控制方法;分析自动气象站风向传感器的组成结构和工作原理,构建自动气象站等效模型;采用循环采集的方式获取风向传感器的实时运行数据,通过滤波、缺失补偿等步骤完成数据预处理;以数据预处理结合为基础,利用非线性拟合技术计算风向传感器误差,通过装设风向传感器校准控制器,完成风向传感器校准控制;实验结果表明,在45 m/s风速下所提方法的平均测量误差分别比实验对比方法低1.27°、0.75°、0.42°,误差变化率有所下降,证明了该方法的自动气象站风向传感器校准控制效果好。
A wind direction sensor is an important component in automatic weather stations.Due to the noise and lack of its operation data,which leads to the increase of measurement error.Therefore,a calibration control method of the wind direction sensor in the automatic weather station based on nonlinear fitting is designed.Firstly,the structure and working principle of the wind direction sensor are analyzed,and the equivalent model of the direction sensor is constructed.Then,the real-time operation data of the wind direction sensor is obtained by means of cyclic collection,and the data preprocessing is completed through the filtering,missing compensation and other steps.Finally,based on the data preprocessing,the wind direction sensor error is calculated by using the nonlinear fitting technology,and the wind direction sensor calibration is completed by installing the wind direction sensor calibration controller.The experimental results show that the average measurement error of the proposed method at a wind speed of 45 m/s is 1.27°,0.75°,and 0.42°lower than that of the experimental comparison method,and the error variety rate has decreased.It is verified that the proposed method has the good calibration and control effect for the wind direction sensor in the automatic weather station.
作者
张敏
张剑
张朝明
冯亚
金拴根
ZHANG Min;ZHANG Jian;ZHANG Chaoming;FENG Ya;JIN Shuangen(Shanxi Provincial Atmospheric Observation and Technical Support Center,Taiyuan 030002,China;Xinzhou Meteorological Bureau,Xinzhou 034000,China)
出处
《计算机测量与控制》
2023年第7期313-319,共7页
Computer Measurement &Control
基金
山西省气象局面上科研项(SXKMSTC20236316)。
关键词
非线性拟合
自动气象站
风向传感器
校准控制
循环采集
数据滤波
缺失补偿
nonlinear fitting
automatic weather station
wind direction sensor
calibration control
cyclic acquisition
data filtering
missing compensation
