Abstract

Measuring the height of a site is of great significance for scientific research and daily life. This paper aims to measure the indoor and outdoor air pressure height, compare and analyze the error and fluctuation of indoor and outdoor measured data, and filter the measured value with Kalman filter to reduce the error and fluctuation; The influence of wind speed on measurement error and fluctuation is analyzed; Three methods are used to process the data of the wind measurement group and the results are compared; The predictability of air pressure sensor is tested and analyzed. The experimental results show that: 1) Compared with indoor measurement, the error and fluctuation of outdoor measurement are significantly worse. 2) In indoor and outdoor measurement, Kalman filter has a good effect, which can reduce the average error of measurement data by 31.9% at most and the measurement fluctuation by 37.5%. The effect of Kalman filtering 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. 3) Wind has a great influence on barometric altimetry, and the fluctuation and error of the measurement results increase with the increase of wind speed. Combine theoretical knowledge with the results of comparative experiments It is speculated that the reason for the large outdoor measurement error and fluctuation includes the interference of wind to the sensor. 4) The traditional least squares fitting is the worst, and the least squares fitting based on Kalman filter is the best. 5) In the windy state, the RMS of quadratic fitting is 60% higher than that in the windless state, and the residual error is 63.8% higher.

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