摘要
MSB780(X)型数字气压计是民航机场气象台站常见的一种高精度气压传感器,其在保证客机安全着陆过程中的作用十分关键。对其进行示值误差的测量不确定度分析与评定有着极其重要的意义。依据JJG 1084-2013《数字式气压计检定规程》,对MSB780(X)型数字气压计进行示值误差的重复性测量。通过建立数学模型,对示值误差的测量不确定度来源及种类进行了详细分析,并依据JJF1059.1-2012《测量不确定度评定与表示》对各不确定度分量进行评定,计算合成标准不确定度和扩展不确定度。最终得出示值误差在检定规程中规定的每个测量压力点的测量不确定度结果,并对结果进行分析。分析结果表明:合理控制引人的不确定度分量的测量要素能有效改善测量结果的不确定度。同时,该研究对试验室出具计量报告和空管气象部门实际应用都能起到一定的指导作用。
MSB780(X)digital barometer is a kind of high-precision barometrie sensor which is often used in eivil airport meteorological station.It plays a very important role in ensuring the safe landing of passenger aircraft.So it is of great significance to analyze and evaluate the uncertainty of indication error.According to JJC 1084-2013 Verification Regulation of Digital Barometer,the repeatability measurement of indication error of MSB780(X)digital barometer is carried out in this paper,we constructed a mathematical model and performed detailed analysis on the source and type of the uncertainty introduced into the model by each input component.Then we evaluated the each uncertainty component,calculate the composite standard uncertainty and the extended uncertainty by the JJF 1059.1-2012 Evaluation and Expression of Uncertainty in Measurement.Finally,the measurement uncertainty results of each pressure point required in the verification regulations are obtained,and the results are analyzed.The results show that the uncertainty of measurement can be effectively improved by reasonably controlling the measurement factors of the uncertainty component.In addition,it plays a guiding role for the laboratory to issue the metrological report and the air trffie control meteorological department to apply it in practice.
作者
杨卫洁
王欣
YANG Weijie;WANG Xin(Atmospheric Detection Technology Support Center,Yunnan Provincial Meteorological Bureau,Kunming 650034,China)
出处
《自动化仪表》
CAS
2021年第3期66-70,共5页
Process Automation Instrumentation
关键词
数字气压计
示值误差
测量重复性
不确定度评定
不确定度传播律
数据处理
分辨力
极差法
Digital barometer
Indication error
Repeatability of measurement
Uncertainty evaluation
Uncertainty propagation theorem
Data processing
Resolving power
Range method