温度传感器测量不确定度研究

Research on uncertainty of temperature sensor measurement

文章通过对温度传感器在不同环境中进行相关气象要素监控的实验数据进行分析,找出对温度传感器测量结果有较大影响的环境影响因子。再利用拟合效果较好的最小二乘支持向量机最优算法分别对实验室内、外两个条件下温度传感器测量结果的误差进行分析,并通过数学建模模拟,按照不确定度分析的一般步骤对温度传感器测量结果进行了A类、B类、合成不确定度和扩展不确定度的评定,最终对温度传感器测量结果进行综合评定。通过此项研究为确定气象传感器测量不确定度的方法提供参考。

This paper analyzes the experimental data of temperature sensor monitoring related meteorological factors in different environments,and finds out the environmental impact factors that have a great influence on the measurement results of temperature sensor.Using the LSSVM optimal algorithm of the least squares support vector machine(LSSVM)with better fitting results,the error of measurement results of temperature sensors under laboratory conditions and outdoor conditions is analyzed and simulated through mathematical modeling.Under the premise of verifying the model and using the general steps of uncertainty analysis,the temperature and humidity sensor measurement results are assessed as Class A uncertainty,Class B uncertainty,synthesis uncertainty,and extension uncertainty.Finally,the measurement results of temperature sensor are evaluated comprehensively.Through this study,a reference for determining the uncertainty of meteorological senser measurement is provided.