一种自动土壤水分异常数据判断方法  

An Automatic Method For Judging Soil Moisture Anomaly Data

作　　者：包伟智 陈利华 杨明华 王驰 刘冠华 彭少杰 BAO Weizhi;CHEN Lihua;YANG Minghua;WAGN Chi;LIU Guanhua(Atmospheric Detection Technology Support Center,Inner Mongolia Autonomous Region,Hohhot 010051,China;Meteorological Bureau of Jalaid Banner,Xing’an League,Jalaid Banner Inner Mongolia 137600,China)

机构地区：[1]内蒙古自治区气象数据中心,呼和浩特010051 [2]兴安盟扎赉特旗气象局,内蒙古扎赉特旗137600

出　　处：《自动化与仪器仪表》2024年第6期309-312,共4页Automation & Instrumentation

基　　金：内蒙古自治区气象局科技创新项目“综合气象观测运行监控系统升级完善”(nmdqtckjcx202001)。

摘　　要：针对FDR法自动土壤水分观测仪,提出了一种通过归一化频率阈值判断异常观测数据的方法。首先通过分析FDR(频域反射法)的测量原理,确定了自动土壤水分传感器正常工作时的归一化频率阈值范围,其次通过调取内蒙古自治区165个自动土壤水分观测站的2021年5到9月的约89万条逐小时归一化频率值对该方法发现传感器故障的效果进行了检验,结果表明:通过归一化频率可有效检出因传感器故障引起的异常数据,并且该方法从国内应用较为广泛的体积含水量、土壤相对湿度等数据产品的界限值的质控转变为传感器实际测量值的阈值范围的判断,可更快速有效发现数据异常原因,以保证观测数据的准确性和可靠性。In this paper,a method of judging abnormal observation data by normalizing frequency threshold is proposed for FDR automatic soil moisture meter.By analyzing the principle of FDR(frequency domain reflectometry),the normalized frequency threshold range of the automatic soil moisture sensor is determined,second,the effectiveness of the method in detecting sensor failures was tested by Inner Mongolia about 890,000 hourly normalized frequency 2021 from May to September from 165 automated soil moisture stations,the results show that the abnormal data caused by sensor fault can be detected effectively by normalized frequency,the method changes from the quality control of the limit value of the data products such as volumetric water content and soil relative humidity,which are widely used in China,to the judgment of the threshold range of the actual measurement value of the sensor,it can find the reason of data anomaly more quickly and effectively to ensure the accuracy and reliability of observation data.

关 键 词：自动土壤水分 异常数据 FDR 归一化频率 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]