This repository contains Python scripts designed for the CARGAS LLAMA Project. The main.py script provides real-time monitoring and plotting of temperature data from a PT100 sensor connected to a FPGA with an ADC1 Module. graph.py provides the analysis of historical temperature data stored in a file.
Connect the FPGA to the pc and run the script with:
python3 main.py
The script will prompt you for two options:
- Save data (`opt_save`): Enter 'y' to save data, or 'n' to skip saving.
- Average data (`opt_avg`): Enter 'y' to plot the average data, or 'n' to plot raw data.
The script will continuously read data from the FPGA and display real-time plots. If saving is enabled, data will be appended to a file named with the time when you execute the script.
To stop the script and close the plot, press Ctrl+C in the terminal where the script is running.
Note: Make sure to change the comms.setPort() argument to your port where the FPGA is connected. /dev/ttyUSB1 is the default for linux.
Ensure that your temperature data is stored in a CSV file with three columns
BITS,VOLTAGE,TEMPERATURE
Then run the script with:
python3 graph.py path/to/your/datafile.txt
Replace path/to/your/datafile.txt with the path to your actual file. The script will analyze the temperature data and generate a plot displaying the temperature readings over time. Statistical information will be included in the legend of the plot, providing details such as mean temperature, coefficient of variation, number of samples, number of peaks, and temperature range.
Note: To change the threshold of the peaks, change the line 19 in the code with the values that you prefer.
Make sure to connect the ADC1 Module in the top JD connector. The FPGA contains in their memory the code to provide the data from a A0 data connected to de ADC1.
- main.py requires matplotlib pyserial numpy (pip3 install matplotlib pyserial numpy)
- graph.py requires matplotlib numpy (pip3 install matplotlib numpy)