基于蒙特卡洛法的压力传感器测量模型不确定度评定

颜明慧, 高卫峰, 赵少美, 陈钦, 谢晋, 李宏

计量学报 ›› 2025, Vol. 46 ›› Issue (8) : 1156-1163.

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计量学报 ›› 2025, Vol. 46 ›› Issue (8) : 1156-1163. DOI: 10.3969/j.issn.1000-1158.2025.08.11
力学计量

基于蒙特卡洛法的压力传感器测量模型不确定度评定

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Uncertainty Evaluation of Measurement Model of Pressure Sensor Based on Monte Carlo Method

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摘要

利用蒙特卡洛法对压力传感器测量模型进行不确定度评定。首先设定压力传感器校准数据输入输出关系为一阶线性模型,利用最小二乘法得到模型参数估计值;而后结合实际测量过程中采集的电压与被测压力的关系,综合得到反映被测压力与校准数据关系的测量模型,并以此模型为基础利用蒙特卡洛法进行压力不确定度评定,与GUM等评定方法进行比较,同时分析不确定度影响因素。实验结果表明,蒙特卡洛法能充分考虑输入量信息,更简洁易行,评定结果更准确。校准时检定点的均值、标准差、数量以及误差源会影响压力测量不确定度曲线的最小值及最小值点,数字多用表准确度比压力校准器准确度对压力测量不确定度影响更大。

Abstract

Monte Carlo method (MCM) was used to evaluate the uncertainty of pressure sensor measurement model. Firstly, the relationship between input and output of pressure sensor calibration data was set as a first-order linear model, and the parameter estimates of the model were obtained by least square method. Then, combined with the relationship between voltage and measured pressure collected in the actual measurement process, a measurement model reflecting the relationship between measured pressure and calibration data was established. Based on this model, MCM was used to evaluate the pressure uncertainty, compared with GUM and fitted standard deviation theory methods, and the influencing factors of uncertainty were analyzed. The experimental results show that the MCM evaluation process can fully consider the input information and is more simple and easy. In pressure calibration, the mean value, standard deviation, quantity of sampling points and error source can affect the uncertainty curve of pressure measurement, especially in the characteristics of the minimum point and minimum value of the curve. The precision of digital multimeter has greater influence on the uncertainty of pressure measurement than that of pressure calibrator.

关键词

力学计量 / 压力传感器 / 测量不确定度 / 蒙特卡洛法 / 最小二乘法

Key words

mechanical metrology / pressure sensor / measurement uncertainty / Monte Carlo method / least square method

引用本文

导出引用
颜明慧, 高卫峰, 赵少美, . 基于蒙特卡洛法的压力传感器测量模型不确定度评定[J]. 计量学报. 2025, 46(8): 1156-1163 https://doi.org/10.3969/j.issn.1000-1158.2025.08.11
YAN Minghui, GAO Weifeng, ZHAO Shaomei, et al. Uncertainty Evaluation of Measurement Model of Pressure Sensor Based on Monte Carlo Method[J]. Acta Metrologica Sinica. 2025, 46(8): 1156-1163 https://doi.org/10.3969/j.issn.1000-1158.2025.08.11
中图分类号: TB935   

参考文献

[1]
白杰, 胡红波. 计量中回归模型参数值及其不确定度评估 [J]. 计量学报202243(12): 1683-1688.
BAI J HU H B. Estimates and Its Corresponding Uncertainty Evaluation of Parameters for Regression Model in Metrology [J]. Acta Metrologica Sinica202243(12): 1683-1688.
[2]
夏玉国, 彭友志, 刘正华, 等. 线性回归拟合的测量不确定度评定 [J]. 计量学报202344(4): 664-670.
XIA Y G PENG Y Z LIU Z H, et al. The Measurement Uncertainty Evaluation of Linear Regression Fitting [J]. Acta Metrologica Sinica202344(4): 664-670.
[3]
许金鑫, 由强. 任意阶次多项式最小二乘拟合不确定度计算方法与最佳拟合阶次分析 [J]. 计量学报202041(3): 388-392.
XU J X YOU Q. Uncertainty Calculation for Arbitrary Order Polynomial Least-square Fitting and Analysis of the Best Fitting Order [J]. Acta Metrologica Sinica202041(3): 388-392.
[4]
Richter P H. Estimating Errors in Least-squares Fitting [J]. The Telecommunications and Data Acquisition Report1995.
[5]
Klauenberg K Martens S Bošnjaković A, et al. The GUM Perspective on Straight-line Errors-in-variables Regression [J]. Measurement2022187: 110340.
[6]
李久龙, 李玲, 刘瑞敏, 等. 一元线性回归分析方法在压力传感器数据拟合中的应用 [J]. 计测技术202242 (2): 40-49.
LI J L LI L LlU R M, et al. Application of Univariate Linear Regression Analysis in Data Fitting of Pressure Sensor [J]. Metrology and Measurement Technology202242(2): 40-49.
[7]
袁丁, 闫德立, 王小平. 基于最小二乘法的称重压力传感器的非线性拟合 [J]. 济南大学学报(自然科学版)201832(5): 384-388.
YUAN D YAN D L WANG X P. Nonlinear Fitting of Weighing Pressure Sensor Based on Least Squares Method [J]. Journal of University of Jinan (Science and Technology)201832(5): 384-388.
[8]
曹久莹, 于陆军. 基于最小二乘法拟合的流量计不确定度分析方法 [J]. 中国测试202248(S1): 122-128.
CAO J Y YU L J. Uncertainty Analysis Method of Flowmeter Based on Least Square Fitting [J]. China Measurement & Test202248(S1): 122-128.
[9]
Evaluation of measurement data - Guide to the expression of uncertainty in measurement:JCGM 100: 2008 [S]. 2008.
[10]
Evaluation of measurement data - Supplement 1 to the “Guide to the expression of uncertainty in measurement”- Propagation of distributions using a Monte Carlo method:JCGM 101: 2008 [S]. 2008.
[11]
王高俊, 吴昊, 章明洪. 自适应蒙特卡洛法评定肥料中苯并[a]芘含量的测量不确定度 [J]. 计量学报202243(1): 127-132.
WANG G J WU H ZHANG M H. Evaluation of Measurement Uncertainty in the Determination of Benzo[a]pyrene in Fertilizer by Adaptive Monte Carlo Method [J]. Acta Metrologica Sinica202243(1): 127-132.
[12]
姜菡雨, 姚二岗, 王煊军, 等. 高活性铝粉助剂法燃烧热测量不确定度的蒙特卡罗法评定 [J]. 火炸药学报202346(7): 656-662.
JIANG H Y YAO E G WANG X J, et al. Measurement Uncertainty Evaluation of High-activity Aluminum Combustion Heat Test Based on Monte Carlo Method [J]. Chinese Journal of Explosives & Propellants202346(7): 656-662.
[13]
马宏伟, 李鑫, 赵国松. 基于蒙特卡罗法的五孔探针测量不确定度评定 [J]. 航空动力学报202237(11): 2587-2597.
MA H W LI X ZHAO G S. Evaluation of Measurement Uncertainties for Five-hole Probes Based on Monte Carlo Method [J]. Journal of Aerospace Power202237(11): 2587-2597.
[14]
李元峰, 孟令川, 黄垚, 等. 基于蒙特卡洛方法平尺测量直线度不确定度评估方法的研究 [J]. 计量学报202344(4): 540-548.
LI Y F MENG L C HUANG Y, et al. Research on Uncertainty Evaluation Methods of Straightness of Straight Edge Based on Monte Carlo Method [J]. Acta Metrologica Sinica202344(4): 540-548.
[15]
吴泽南, 陈贤雷, 郝华东, 等. 基于蒙特卡洛法的立式金属罐容量测量不确定度评定 [J]. 中国测试202248(S2): 63-68.
WU Z N CHEN X L HAO H D, et al. Uncertainty Assessment of Vertical Metal Tank Capacity Measurement Based on Monte Carlo Method [J]. China Measurement & Test202248(S2): 63-68.
[16]
江文松, 王中宇, 罗哉, 等. 基于蒙特卡罗法的冲击力溯源系统不确定度评定 [J]. 计量学报202041(4): 448-454.
JIANG W S WANG Z Y LUO Z, et al. Uncertainty Evaluation on the Traceable Measurement System of the Impact Force Based on a Monte Carlo Method [J]. Acta Metrologica Sinica202041(4): 448-454.
[17]
刘园园, 杨健, 赵希勇, 等. GUM法和MCM法评定测量不确定度对比分析 [J]. 计量学报201839(1): 135-139.
LIU Y Y YANG J ZHAO X Y, et al. Comparative Analysis of Uncertainty Measurement Evaluation with GUM and MCM [J]. Acta Metrologica Sinica201839(1): 135-139.
[18]
ZAKHAROV I P VODOTYKA S V. Application of Monte Carlo simulation for the evaluation of measurements uncertainty [J]. Metrology and Measurement Systems200815(1): 117-123.
[19]
魏明明. 蒙特卡洛法与GUM评定测量不确定度对比分析 [J]. 电子测量与仪器学报201832(11): 17-25.
WEI M M. Comparative Analysis of Measurement Uncertainty Evaluation with Monte Carlo Method and GUM [J]. Journal of Electronic Measurement and Instrumentation201832(11): 17-25.
[20]
王伟, 宋明顺, 陈意华, 等. 蒙特卡罗方法在复杂模型测量不确定度评定中的应用 [J]. 仪器仪表学报200829 (7) : 1446-1449.
WANG W SONG M S CHEN Y H, et al. Application of Monte Carlo Method in Measurement Uncertainty Evaluation of Complicated Model [J]. Chinese Journal of Scientific Instrument200829 (7) : 1446-1449.
[21]
SOUSA J A BATISTA E DEMEYER S, et al. Uncertainty calculation methodologies in microflow measurements: Comparison of GUM,GUM-S1 and Bayesian approach[J]. Measurement2021181: 109589.
[22]
压力传感器检定规程(静态):JJG 860 - 2015 [S]. 2015-07-30.

基金

国防科技基础加强计划173重点基础研究(2021JCJQJJ1329)

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