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基于气压的室内外测高实验

Indoor and Outdoor Height Measurement Experiment Based on Air Pressure
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摘要 测量位置的高度对于科学研究和日常生活都有很重要的意义。文章的主要工作是进行室内和室外的气压测高,对比了室内和室外测量数据的误差和波动,使用卡尔曼滤波对测量值进行了滤波处理以降低误差和波动。分析了风速对测量误差和波动的影响。实验结果显示,在室内外测量中,卡尔曼滤波有不错的效果,最多可以使测量数据的均值误差降低31.9%,使测量的波动降低37.5%。卡尔曼滤波的效果受测量数据的影响较大,测量值的波动和误差越大,卡尔曼滤波的效果越明显。室外测量部分,将室外测量数据的误差和波动与室内测量数据进行对比,结果显示,室外测量的误差和波动相较于室内测量均有明显的提升。对这部分误差进行分析和实验,实验结果显示,风对使用传感器进行气压测高的影响很大,且测量结果的波动和误差随风速的增加而增加。结合理论知识和对比实验的结果,推测室外测量的误差和波动更大的原因包括风对传感器的干扰。 The height of measuring position is very important for scientific research and daily life.The main work of the paper is to measure the indoor and outdoor air pressure height,compare the error and fluctuation of indoor and outdoor measurement data,and use Kalman filter to filter the measured value to reduce the error and fuctuation.The infuence of wind speed on measurement error and fluctuation is analyzed.The experimental results show that kalman filter has a good effect in indoor and outdoor measurement,which can reduce the mean error of measurement data by 31.9% at most,and reduce the fluctuation of measurement by 37.5%.The effect of kalman filter is greatly affected by the measured data.The greater the fluctuation and error of the measured value,the more obvious the effect of kalman filter.In the outdoor measurement part,the error and fluctuation of the outdoor measurement data are compared with the indoor measurement data.The results show that the error and fluctuation of the outdoor measurement are significantly improved compared with the indoor measurement.The part of error is analyzed and tested.The experimental results show that the wind has a great impact on the use of the sensor for barometric height measurement,and the fuctuation and error of the measurement results increase with the increase of wind speed.Combined with theoretical knowledge and the results of comparative experiments,it is speculated that the reason for the greater error and fuctuation of outdoor measurement includes the interference of wind to the sensor.
作者 李帅辰 武建锋 LI Shuaichen;WU Jianfeng(National time service center,Chinese Academy of Sciences,Xian 710699,China;College of Integrated Circuits,University of Chinese Academy of Sciences,Beijing 101408,China;College of Electrical and Electronic Engineering,University of Chinese Academy of Sciences,Beijing 101408,China)
出处 《传感器世界》 2022年第10期10-14,共5页 Sensor World
关键词 气压测高 卡尔曼滤波 传感器 室内外高度测量 barometric altimetry kalman filter sensor altitude measurement
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