The project focuses on:
- Configuring the Arduino Mega for precise reading of analog data from the PT100 sensor.
- Implementing compensation and calibration algorithm to enhance the accuracy of temperature readings.
- Serial communication interface for data transfer to a computer.
- Data analysis using Python for processing and visualization.
- Designing and implementing a Butterworth low-pass digital filter to smooth temperature readings.
- /ArduinoDatalogger: Contains the C++ source code for the Arduino Mega.
- Notes.ipynb: Python scripts for signal analysis.
- The Wheatstone bridge was designed to preamplify and prefilter the temperature signal.
- The Arduino Mega was used to collect readings using the ADC.
- Using the
serial
module, the number of samples and the sampling period of the signal are set. - With the
pandas
module, data is documented with timestamps and saved to a CSV file. - The fast Fourier transform from the
scipy
module is utilized, and withmatplotlib
, visualization is obtained to estimate the cutoff frequency to be used in the digital filter. - With simpy, the z-transform of a 3rd order Butterworth filter is obtained, and by specifying the chosen sampling time and cutoff frequency, the difference equation of the filter is obtained.
Pt100 Preamp