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Using smartphone pressure sensors to measure vertical velocities of elevators, stairways, and drones

机译:使用智能手机压力传感器测量电梯,楼梯和无人机的垂直速度

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We measure the vertical velocities of elevators, pedestrians climbing stairs, and drones (flying unmanned aerial vehicles), by means of smartphone pressure sensors. The barometric pressure obtained with the smartphone is related to the altitude of the device via the hydrostatic approximation. From the altitude values, vertical velocities are derived. The approximation considered is valid in the first hundred meters of the inner layers of the atmosphere. In addition to pressure, acceleration values were also recorded using the built-in accelerometer. Numerical integration was performed, obtaining both vertical velocity and altitude. We show that data obtained using the pressure sensor is significantly less noisy than that obtained using the accelerometer. Error accumulation is also evident in the numerical integration of the acceleration values. In the proposed experiments, the pressure sensor also outperforms GPS, because this sensor does not receive satellite signals indoors and, in general, the operating frequency is considerably lower than that of the pressure sensor. In the cases in which it is possible, comparison with reference values taken from the architectural plans of buildings validates the results obtained using the pressure sensor. This proposal is ideally performed as an external or outreach activity with students to gain insight about fundamental questions in mechanics, fluids, and thermodynamics.
机译:我们通过智能手机压力传感器测量电梯,行人攀爬楼梯和无人机(飞行无人驾驶飞行器)的垂直速度。用智能手机获得的气压与通过静水压近似的装置的高度有关。从高度值,导出垂直速度。所考虑的近似在大气的内层的前一百米上有效。除压力外,还使用内置加速度计记录加速度值。执行数值积分,获得垂直速度和高度。我们表明使用压力传感器获得的数据比使用加速度计获得的数据显着较小。在加速度值的数值集成中也是显而易见的。在所提出的实验中,压力传感器还优于GPS,因为该传感器在室内没有接收卫星信号,并且通常,工作频率远低于压力传感器的卫星信号。在可能的情况下,与从建筑物的架构计划中采取的参考值进行比较验证使用压力传感器获得的结果。理想情况下,该提案是与学生一起进行的外部或外联活动,以了解力学,流体和热力学中的基本问题。

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