An acquisition system framework for mechanical measurements with Python, Raspberry-Pi and MEMS sensors

In this paper, we propose the development of a low-cost acquisition system using Raspberry-Pi 3 and MEMS accelerometers to measure vibrations in mechanical systems. The main objective is to assemble a signals acquisition system easy to handle, of low cost and good accuracy for teaching and industrial purposes. The central idea is that the signals are acquired and processed in the Raspberry-Pi. The Python language and numerical libraries (scipy, numpy and matplotlib) are used for implementation of acquisition and signal processing. This paper proposes the study of vibrations in time and frequency domain. The acquisition system proposed can be easy implemented and the results obtained had good precision (time and frequency domain) and agree with the literature.

本文提出了一种基于树莓派3（Raspberry-Pi 3）与微机电系统（MEMS）加速度计的低成本采集系统，用于机械系统的振动测量。本文的核心目标是搭建一款便于操作、成本低廉且精度优异的信号采集系统，以适配教学与工业应用场景。本方案的核心思路为，所有信号的采集与处理均在树莓派3中完成。本系统采用Python语言及其数值计算库（scipy、numpy与matplotlib）实现采集与信号处理功能。本文同时开展了机械振动在时域与频域的分析研究。所提出的采集系统易于搭建部署，所得结果在时域与频域均具备良好精度，且与现有文献研究结论一致。