气象
氣象
기상
METEOROLOGICAL MONTHLY
2015年
8期
1028-1035
,共8页
多传感器%自动气象站%数据融合%离散度%数据集中度
多傳感器%自動氣象站%數據融閤%離散度%數據集中度
다전감기%자동기상참%수거융합%리산도%수거집중도
multi-sensor%automatic weather station (AWS)%data fusion%dispersion%concentration
提采用三个同类型的温度、湿度和雨量传感器分别对气温、相对湿度以及降雨量进行测量。通过计算同一气象要素三个测量值之间的离散度以及数据集中度,结合观测数据的时间序列变化趋势,融合得到一个更具有代表性,更加准确的数据作为该气象要素的观测值。对三种气象要素多种天气状况下的融合数据进行业务对比,一致率计算结果证明,多传感器融合结果与业务观测数据一致性比较高。对差值的规律和异常数据进行分析,显示多传感器具有以下优势:在单一传感器故障时保障观测数据连续不间断,剔除由信号干扰或者误操作导致的错误数据,增加强对流过程中奇异数据的可信度,及时反映单个传感器性能变化。因此多传感器自动站不但可以作为业务使用,而且对解决业务观测中部分数据不可信的问题具有重要意义。
提採用三箇同類型的溫度、濕度和雨量傳感器分彆對氣溫、相對濕度以及降雨量進行測量。通過計算同一氣象要素三箇測量值之間的離散度以及數據集中度,結閤觀測數據的時間序列變化趨勢,融閤得到一箇更具有代錶性,更加準確的數據作為該氣象要素的觀測值。對三種氣象要素多種天氣狀況下的融閤數據進行業務對比,一緻率計算結果證明,多傳感器融閤結果與業務觀測數據一緻性比較高。對差值的規律和異常數據進行分析,顯示多傳感器具有以下優勢:在單一傳感器故障時保障觀測數據連續不間斷,剔除由信號榦擾或者誤操作導緻的錯誤數據,增加彊對流過程中奇異數據的可信度,及時反映單箇傳感器性能變化。因此多傳感器自動站不但可以作為業務使用,而且對解決業務觀測中部分數據不可信的問題具有重要意義。
제채용삼개동류형적온도、습도화우량전감기분별대기온、상대습도이급강우량진행측량。통과계산동일기상요소삼개측량치지간적리산도이급수거집중도,결합관측수거적시간서렬변화추세,융합득도일개경구유대표성,경가준학적수거작위해기상요소적관측치。대삼충기상요소다충천기상황하적융합수거진행업무대비,일치솔계산결과증명,다전감기융합결과여업무관측수거일치성비교고。대차치적규률화이상수거진행분석,현시다전감기구유이하우세:재단일전감기고장시보장관측수거련속불간단,척제유신호간우혹자오조작도치적착오수거,증가강대류과정중기이수거적가신도,급시반영단개전감기성능변화。인차다전감기자동참불단가이작위업무사용,이차대해결업무관측중부분수거불가신적문제구유중요의의。
Three sensors of the same type are adopted to monitor air temperature,relative humidity and rainfall.Then dispersion and concentration of observation data are calculated.Combined with the consider-ation of variation tendency in time series,models of data fusion are invented,and typical and accurate data are worked out as final meteorological observation data.The fusion data of three meteorological elements are collected in different weather conditions,and by the comparison of the data,the calculation result of concordance rate proves that there is high consistency between the two sets of data.Analysis of regularity and abnormal data of difference values show multi-sensor automatic weather station (AWS)has advantages as follows.It can make sure that observation data are continuous when single sensor is out of work;it can eliminate the influence of wrong data from interference signal and misoperation;and it can verify the validi-ty of singular data in severe convective weather processes and reflect the performance changes of single sensor.So,the multi-sensor AWS can be applied in surface weather observation,which is of great impor-tance for solving the observation data problems at present.